Assessment Proforma 2024-25 Key Information Module Code CMT224 Module Title Social Computing Assessment Title Social Computing Problem Sheet Assessment Number 1 Assessment Weighting 100% Assessment Limits Submissions must be made using the notebook templates provided. Follow the instructions under “Assessment Description” below. The Assessment Calendar can be found under ‘Assessment & Feedback’ in the COMSC- ORG-SCHOOL organisation on Learning Central. This is the single point of truth for (a) the hand out date and time, (b) the hand in date and time, and (c) the feedback return date for all assessments. Learning Outcomes The learning outcomes for this assessment are as follows: 1. Analyse fundamental traits of complex networks by synthesising theoretical concepts and methodologies from graph theory. 2. Evaluate and implement computational approaches to model and visualise complex social phenomena. 3. Design and create software to investigate or support human interaction behaviour. Submission Instructions The coversheet can be found under ‘Assessment & Feedback’ in the COMSC-ORG- SCHOOL organisation on Learning Central. All files should be submitted via Learning Central. The submission page can be found under ‘Assessment & Feedback’ in the CMT224 module on Learning Central. Your submission should consist of multiple files: Description Type Name Coversheet Compulsory One PDF (.pdf) file [student_number]- coversheet.pdf Part 1 Notebook (Using the template provided on Learning Central) Compulsory One IPython Notebook file (.ipynb) [student_number]-part-1.ipynb Part 2 Notebook (Using the template provided on Learning Central) Compulsory One IPython Notebook file (.ipynb) [student_number]-part-2.ipynb Part 3 Notebook (Using the template provided on Learning Central) Compulsory One IPython Notebook file (.ipynb) [student_number]-part-3.ipynb If you are unable to submit your work due to technical difficulties, please submit your work via e-mail to [email protected] notify the module leader. Assessment Description You are tasked with analysing datasets representing different types of social and communication behaviour. These datasets are provided as files and can be found alongside this coursework pro-forma on Learning Central. Alongside the dataset files, there are 3 (THREE) IPython notebooks, named part-1.ipynb, part-2.ipynb, and part-3.ipynb, which you should solely use to complete the assignment and submit these in line with the Submission Instructions section above. The cells in each completed notebook will be ran in the order that they appear. You do not need to resubmit the dataset files. You are required to address 16 total questions across the 3 parts. These questions are also listed below for convenience. For EACH question in EACH notebook: 1. Complete the cell below each question marked with “#CODE:” with the Python code needed to generate any new information you need for your answer. This information should be outputted when the cell is run, and any floating-point values should be presented to 2 decimal places unless they are less than 0.01. 2. Complete the cell below this marked with “ANSWER:” with your answer to the question, referring to the information outputted above (as well as any previous cell if needed). In doing so, briefly explain your approach and methods/measures used to answer the question and justify any choices made. Each answer cell should (ideally) be no more than 125 words. You may use any Python packages installable via pip. “%pip install ” commands should be placed in the cell below “Install Python packages (pip only)” provided at the top of each notebook. “import ” lines for all packages required for the notebook to be ran successfully should be placed in the cell under “Import Python packages” provided at the top of each notebook. You may add additional cells throughout the notebooks, but this should be minimised. Any code submitted will be run on a system equivalent to a Cardiff University imaged lab machine and must be submitted as stipulated in the instructions above. Any deviation from the submission instructions above (including the number and types of files submitted) may result in a mark of zero for the assessment or question part. Staff reserve the right to invite students to a meeting to discuss coursework submissions. Questions (duplicated from the three notebook files) Part 1: Examine the file "emails_cmt224.edgelist" which represents email behaviour at an organisation. Each line contains two numbers, u and v, separated by a blank space. Consider each number as an identifier for an individual in an organisation, with the space on each line representing that the individual, u , sent at least one email to another individual, v, at some point. Additionally, examine the JSON file "emails_cmt224_departments.json" (departments file). Keys in the departments file represent individuals using the same ids as in the "emails_cmt224.edgelist" file and the values represent a department id that the individual can be attributed to. Model the data using an appropriate, directed network representation and answer the following questions: Q1. How many individuals only send emails, only receive emails, or both send and receive emails? Q2. For individuals that both receive and send emails, what proportion only do so with the same people? Q3. How many individuals only send emails within their department? Q4. Could the connectivity within the largest department be suggested to be reflective of a small world phenomenon in comparison to the typical connectivity of 10 comparative random networks? Q5. Using the connections that individuals have in the network, are they more likely to mix with others in their department or those with a similar number of inward connections? You may define an appropriate assumption for similarity in your answer. Q6. Assume the role of an outsider with complete visibility of the network that wishes to spread a hypothetical email such that everyone in the organisation would know the information it contained as quickly as possible. Also assume that the email will be forwarded in sequential timesteps using the following mechanism: if an individual is told the information in an email at timestep t, the individual will forward the email to all others that they have previously emailed before this forwarding process began at timestep t+1. Therefore, individuals should not forward the information to those that have previously emailed them that they have not sent an email to. Individuals can be told the information more than once. If you had to select any 5 individuals to email at timestep 0, what is the fewest timesteps needed for the email to be received by everyone in the network? In determining your answer, use one or more appropriate network connectivity measures, rather than an exhaustive search through every combination of nodes in the network. Part 2: Examine the Graph Modelling Language (gml) files "socialmedia_cmt224_reply_network.gml" (reply network) and "socialmedia_cmt224_social_network.gml" (social network) which represent data for a sample of users on an online social platform. Both networks are directed and share the same ids for nodes (anonymised users). However, the shared user ids are contained within the "label" attribute in the .gml files, not the node "id" attribute of each individual .gml file. In the social network, an edge from a node, u , to some other node, v, indicates that u follows v's posts on the social media platform. In the reply network, an edge from a node, u , to some other node, v, indicates that u replied to one or more posts made by v. Edges are weighted with the weight representing the number of times this happened over the time period the dataset represents. Using these networks, answer the following questions: Q1. Are the 10 users with the most followers the same as those that have the most repliers to their posts? Q2. Does the number of users that a user follows correlate with the number of replies that they receive? Q3. On average, is a user's list of repliers more likely to contain more followers or not followers? Q4. How many users have only mutual following connections (i.e., every user they follow also follows them) and only mutual reply connections with these same users? Q5. Are occurrences of induced, connected subgraphs of 3 individuals (triads) with only mutual connections (where connections exist) more abundant in the reply network than those with only asymmetric edges? Part 3: Examine the file "p2p_msg_cmt224.csv" which represents messaging behaviour between users on a messaging platform. Each row has four columns, representing a single event where a person (person_a) messaged another person (person_b) on some date (date) at some time of day (time). From this, answer the following questions: Q1. Build two suitable networks, with one to represent social connections based on the messaging behaviour that took place in the first 14 days only and another to represent all message behaviour in the dataset. In doing so, assume that one or more messages from one person to another represents a mutual underlying social connection (i.e., regardless of whether person_a messaged person_b, person_b messaged person_a, or both at some point). Explain any assumptions and choices you make in constructing the networks. Q2. How does the topological structure of the networks differ in terms of the number of people and connections, how the connections are clustered, and the median shortest distance between people? Q3. What fraction of people that only exist after the first 14 days are connected to one or more people present in the first 14 days? Q4. Using only the people that exist in both the network created from data from the first 14 days and the network built from all message behaviour, does the number of social connections grow between these people and can the social phenomenon, ‘Triadic Closure’ , be supported? Q5. How does the maximum 'Degree of separation' change between the people present in the first 14 days and their connectivity after all messages? How does this compare with the maximum 'Degree of separation' after all messages for all people?
Reflective Journal Assessment Task 1 | Making Social Media (ALM101) Reflection and media development · Who is your target audience for this content? In a word or short sentence, write your answer here (e.g., employer, recruiters, a specific industry, fellow media-makers etc.). WordPress Screenshot Add screenshot(s) showing your WordPress portfolio website Analysis and evaluation of making portfolio WordPress website Use one of the unit readings about online identity listed in the instructions and your reflections on creating/updating your WordPress website to reflect on and respond to the following questions: · What professional identity/ies are you performing in your WordPress website? (E.g. content creator, photographer, writer, marketer, sportsperson, business professional, journalist, teacher etc.) · What creative skills and communication techniques did you use to communicate this identity? · How well do you think your media-making worked and/or how might you develop it further? Write your reflection (about 100 words) here... Media credits for WordPress website Add media credits here, including making clear what content you created yourself. (E.g. Photo of me taken by _____ and used with permission; All images from Pexels library on WordPress; Header image made by me using elements from Canva.) Social media profile for portfolio Screenshot Add screenshot(s) showing the social media profile(s) you plan to use for your portfolio. No need to include the posts if you have some, just the profile photo, bio etc. Analysis and evaluation of social media profile · Why have you used the profile photo you have? · Why have you used the bio you have? · What communication techniques have you used to develop a coherent professional presence across your social media and WordPress (e.g. colour scheme, logo, style, tone of voice etc.)? Write your reflection (about 100 words) here... Media credits for social media profile Add media credits here, including making clear what content you created yourself. (E.g. Photo of me taken by _____ and used with permission; Logo made by me using elements from Canva.)
Assessment Proforma 2024–25 Key Information Module Code CMT304 Module Title Programming Paradigms Assessment Title Differentiable Programming Assessment Number Part 3 of the 4-part portfolio coursework Assessment Weighting 25% of the portfolio coursework Assessment Limits Hand-out: 6th of February 2025 Hand-in: 10th of April 2025, 9:30am Feedback expected by: 13th of May 2025 Limits are per task as set in the instructions The Assessment Calendar can be found under ‘Assessment & Feedback’ in the COMSC–ORG– SCHOOL organisation on Learning Central. This is the single point of truth for (a) the hand out date and time, (b) the hand in date and time, and (c) the feedback return date for all assessments. 1 Learning Outcomes The learning outcomes for this assessment are • Explain the conceptual foundations, evaluate and apply various programming paradigms, such as logic, functional, scripting, filter-based programming, pattern matching and quantum com- puting, to solve practical problems. • Discuss and contrast the issues, features, design and concepts of a range of programming paradigms and languages to be able to select a suitable programming paradigm to solve a problem. 2 Submission Instructions The coversheet can be found under ‘Assessment & Feedback’ in the COMSC–ORG–SCHOOL or- ganisation on Learning Central. All files should be submitted via Learning Central. The submission page can be found under ‘As- sessment & Feedback’ in the CMT304 module on Learning Central. Your submission should consist of these files: Description Type Name Coversheet Compulsory One PDF ( . pdf) file coversheet. pdf Task 1 Compulsory One Python (. py) source file task1 . py Task 2 Compulsory One PDF ( . pdf) file task2. pdf If you are unable to submit your work due to technical difficulties, please submit your work via e- mail to [email protected] and notify the module leader (and ideally the setter, if different). Any code will be tested on a Linux system equivalent to COMSC’s Linux lab machines and must run there. 3 Assessment Description The attached measurements . csv file contains measurements obtained from the analog circuit below. It is a csv file where the first column contains the time and the second column the voltage measurement at x in the circuit (1, 000 datapoints from time 0 to 2π ; time in arbitrary units). This circuit consists of analog computing components we used with LTSpice in the module (ic indicates a non-inverting integrator, + a summer, - an inverter and AB a multiplier). The data in the csv file are noisy voltage measurements from this circuit. Information about the values a, textttb, and x0 is not available. This assignment is about analysing the data with differentiable programming techniques and some questions about the approach as given by the tasks below, aligned with the contents of part three of the module. It is a simple example to demonstrate your understanding of the programming paradigms involved. There are of course other approaches one can use to analyse the data, but this is not asked for. The example has been kept simple to avoid the need of high computational resources. This should be executable with reasonable CPU resources without GPU; you can of course use a GPU to solve the task. Task 1: Write a python program using differentiable programming techniques to approximate the measurement data in measurements. csv with a parameterised function fp : R → R, t ↦→ x. You may use pytorch, tensorflow or jax for this (or maybe a combination of these pack- ages; using numpy and matplotlib for supporting functionality is fine – any other packages are not needed; check with the coursework setter if in doubt). You are free to choose any function type (some analytical function, a neural network, etc), but you may want to consider the circuit diagram to choose a suitable function and its parameterisation. Your code can produce the results in any suitable format, on the terminal or in files (do not submit these). Submit a single python file solving this task. Assume measurements . csv is in the directory the python file is executed from. Task 2: Justify the function and the parameterisation you have used to match the data and explain what you can learn from this about the circuit given your results from the previous task. Or, if you cannot conclude anything, explain why not. Write a short report about this of up to 400 words (this is an upper limit, not a target). 4 Assessment Criteria Task 1 worth 25% of the coursework High Distinction 80% - 100% Code is valid without syntax errors. An efficient attempt to approximate the measurements using differentiable programming has been made. It pro- vides and excellent approximation of the measurement data which clearly provides insights into the operation of the circuit. The attempt has been well documented clearly stating the idea to solve the problem and how it has been implemented and performance optimised. Distinction 70% - 79% Code is valid without syntax errors. A suitable attempt to approximate the measurements using differentiable programming has been made. It pro- vides and excellent approximation of the measurement data which helps to understand the operation of the circuit. The attempt has been well docu- mented clearly stating the idea to solve the problem and how it has been implemented. Merit 60% - 69% Code is valid without syntax errors. A suitable attempt to approximate the measurements using differentiable programming has been made. It pro- vides a reasonable approximation of the measurement data, but the results do not help much to understand the circuit. The attempt has been well documented, stating the idea to solve the problem and how it has been im- plemented. Pass 50% - 59% Code is valid without syntax errors. A suitable attempt to approximate the measurements using differentiable programming has been made, but it does not work for the measurement data provided. The attempt has been reason- ably documented. Marginal Fail 40% - 49% Code is valid without syntax errors, but is not capable of approximating the measurements with differentiable programming. An attempt to document the code has been made. Fail 0% - 39% Code does not run or is not suitable to approximate the measurements with differentiable programming. There is little to no relevant documentation.
ARTS2066 2025 ASSESSMENT INFORMATION+Rubrics Assessment 1:Dialogue With Turning Point Exercise(25%)|Due Fridav the 21st of March 2025.11:59pm Students are required to submit four pages of dialogue with a turning point using the correct,industry-standard screenplay format. Your dialogue should be between two characters and establish character voice,subtext and a turning point.The dialogue need not be a completed story but instead must establish a compelling moment between two characters. Although the dialogue can take place in several locations it should be continuous and not jump in time.Keep descriptions to a minimum. Assessment Criteria Criteria Pass:50-64 Credit:65-74 Distinction:75-84 High Distinction:85-100 Character voice The writing shows a basic understanding of the craft of creating effective dialogue. The writing shows a good understanding of the craft of creating effective dialogue through individual character voices and the distinct and appropriate use of language linked to character design The writing shows a very good understanding of the craft of creating effective dialogue through individual character voices and the distinct and appropriate use of language linked to character design The writing shows a sophisticated understanding of the craft of creating effective dialogue through individual character voices and the distinct and appropriate use of language linked to character design Subtext The writing demonstrates a basic ability to create subtext. The writing demonstrates a good ability to create subtext by hinting at deeper motivations/intentions in ways that help drive the narrative forward. The writing demonstrates a very good ability to create subtext by hinting at deeper motivations/intentions in ways that help drive the narrative forward The writing demonstrates a sophisticated grasp of subtext and high-level ability to create subtext by hinting at deeper motivations/intentions in ways that help drive the narrative forward. Turning point The writing demonstrates a basic ability to create a turning point. The writing demonstrates a basic ability to create a distinct turning point with subsequent consequences for the main character. The writing demonstrates a very good ability to create a distinct and fresh turning point with subsequent consequences for the main character. The writing demonstrates a sophisticated understanding of turning points and consequences and high-level ability to create a distinct,fresh,unusual turning point with subsequent consequences for the main character. Screenplay formatting The writing shows a solid understanding of screenplay formatting. The presentation of a clearly written submission The writing shows a solid understanding of screenplay formatting.The presentation of a clearly written submission that is grammatically and typographically correct. The writing shows a very good understanding of screenplay formatting.The presentation of a clearly written submission that is grammatically and typographically correct. The writing shows a sophisticated understanding of screenplay formatting.The presentation of a clearly written,flawless submission that is grammatically and typographically correct. Assessment 2 Workshop Preparation and Peer feedback(25%)IRolling deadlines,depending on vour tutorial until Fridav the 25th of April.2025.11:59 pm 1.Students are required to submit their work for workshopping in class and be present in class for their workshop 2.Students are also required to prepare for each workshop by reading all drafts submitted by their peers before class and providing brief constructive written feedback on Moodle(50-200 words each)after class to all peers who present their work during class workshops. Workshop Preparation:A step-bv-step guide Aims of the workshop process:To provide a supportive environment where you can receive feedback,notes,comments and different perspectives on your work,in order to make the work better and to help you see your work in fresh ways.To provide opportunities you to hone your analytic skills and to develop your craft by reading and analysing the work of your peers. 1.Your workshop a.Before your workshop,submit a draft of your work for workshopping to your tutorial group via Moodle. b.Be present in class for your workshop(Make sure you have put your name down for a workshop slot(See Workshop Schedules link on Moodle) 2.Workshopping for your peers a. In class,provide verbal feedback /feedback via the chat to each of your peers who is workshopping their draft that day. b. After class,type up your feedback for each student who has workshopped that day in class and post it(50-200 words for each workshop draft)on Moodle,under each student's blog. c. Aim: 1. Feed Forward:To help the writer make the work stronger in the next draft.You could also post a question to help the writer see their work in a new way. 2. Career Development Learning. To help you develop skills in script. assessment by demonstrating that you understand how to critically analyse a work and offer concise feedback on the formal elements of the work. Formal elements:the elements that form. the work/elements that make up the form of the work such as character design and development,narrative/story design,tension,the use of subtext, theme,and other elements we have discussed in the lectures and tutorials. Expectations: Students are expected to provide Moodle feedback to all students who have uploaded their drafts for workshopping in class. · If a student in your tutorial does not upload a draft then there is no need to provide feedback. · If a student in your tutorial uploads a draft too late for their workshop then no need to provide feedback,unless your tutor has made other arrangements with your class. · If your class has not workshopped a draft then no need to provide feedback unless your tutor has made other arrangements with your class. ● Provide feedback only to students in your tutorial. · Those who only offer feedback to some students willose marks,hence the different wording in the rubric.i.e.in the rubric under "Pass"you will see that I have said "The provision of clearly written (for the most part),neatly formatted feedback on most screenplay drafts submitted for workshopping." · For all other grades (Credit,Distinction,High Distinction),you willsee that I have said feedback is to be offered"on every single screenplay draft submitted for workshopping."
BEMM488 Entrepreneurship and Complete Sustainable Value Creation Assignment Brief 2 2024-2025 Entrepreneurship and Complete Sustainable Value Creation Assignment Brief 2 2024-2025 Module Assessment and Marking Criteria FORMATIVE ASSESSMENT Throughout the tutorials and online there will be formative assessment, such as your contribution to group exercises and the pre-module task. Formative assessment is not graded and is an opportunity to get feedback on how you are progressing towards the learning outcomes of the module. SUMMATIVE ASSESSMENT Summative assessment is the assessment that results in a grade for the module. It is structured and follows a formal process. For this module there are two summative assessments. Assignment 2: Final Report (Individual Assessment) You will elaborate a personal entrepreneurial initiative for sustainable impact. During the module you have learnt about how entrepreneurial action can lead to sustainable impact, besides creating economic value. The principles, methods, and tools the module introduces are there to help you to elaborate your own impactful initiative, which is based on your available means. To describe the doable, personal initiative for sustainable impact, you will hand-in a written document (max 3000 words). In the document, you will describe (I) what your personal initiative is all about, (ii) how your initiative is designed to make a sustainable impact, and (iii) how you have designed your initiative around Effectual principals. In addition, you will (iv) make a reflection about what you have learnt during the module about taking entrepreneurial action for sustainable impact, and what could be some concrete actions for you to take next to advance in this direction in your future. Essential components of the written Word document: 1. My personal entrepreneurial initiative 2. Complete sustainable value creation 3. Effectual principles used in my initiative 4. Concrete actions for future personal development References % of Credit: 70% Word count: 3000 Maximum Assessment 2 Marking Criteria Mark (Fail/ Condonable Fail) (Pass) (Merit) (Distinction) Marking Criteria 70 Entrepreneurial Initiative (20%) The design of the initiative does not demonstrate an adequate understanding of how value is created, delivered, and captured. The design of the initiative demonstrates an adequate understanding of how value is created, delivered, and captured. The design of the initiative demonstrates a very good understanding of how value is created, delivered, and captured. The design of the initiative demonstrates an excellent understanding of how value is created, delivered, and captured. Complete Sustainable Value Creation (30%) The design of the initiative does not demonstrate an adequate understanding of complete sustainable value creation. The design of the initiative demonstrates an adequate understanding of complete sustainable value creation. The design of the initiative demonstrates a very good understanding of complete sustainable value creation. The design of the initiative demonstrates an excellent understanding of complete sustainable value creation. Effectual Entrepreneurship (20%) The design of the initiative does not demonstrate an adequate understanding of Effectual principles. The design of the initiative demonstrates an adequate understanding of Effectual principles. The design of the initiative demonstrates a very good understanding of Effectual principles. The design of the initiative demonstrates an excellent understanding of Effectual principles. Concrete Actions for Future Personal Development (20%) There are no clearly discernible concrete actions proposed and the quality of reflection on future personal development is low. There are some specific concrete actions proposed and the quality of reflection on future personal development is adequate. There are a good number of specific concrete actions proposed and the quality of reflection on future personal development is good. There are very well chosen specific concrete actions proposed and the quality of reflection on future personal development is excellent. Report (10%) Report lacks clarity, flow, and/or structure, also there are extensive referencing issues. Report has mostly adequate clarity, flow and structure with few referencing issues. Report has very good clarity, flow and structure with no referencing issues. Report has excellent clarity, flow and structure with no referencing issues.
ACCT1110 Financial Reporting and Analysis 2025-1 Individual Assignment – V5 On 1 February 2025, Madison Smashover started a tennis coaching business. She registered the business as Challenger Tennis Coaching and formed a private (Pty Ltd) company in the same name. Madison is to be the sole shareholder of the company. Madison has looked at the Xero standard chart of accounts structure and decided to use the following account names and numbers for recording the business transactions. Madison has been approved by the government to work with children and has access to a local public school tennis court for conducting the coaching business. No new general ledger accounts are required to be established or added to the chart of accounts. Nature Account no. Account Description Assets 210 Cash at bank 220 Accounts receivable 320 Coaching equipment 330 Computer equipment Liabilities 420 Accounts payable 460 Bank loan Equity 500 Share capital 510 Retained earnings Income 610 Revenue Expenses 715 Advertising expenses 725 Bank and credit card charges 735 Court hire charges 745 Insurance expense 765 Printing expenses 785 Phone rental expense Listed below are the events that have occurred during the first month of the Challenger Tennis Coaching Pty Ltd business (ignore GST). Bank statement for Challenger Tennis Coaching Pty Ltd for the month ended 28 February 2025 Issued by Federation Cup Bank Pty Ltd Statement Number 1 Account Number 840200 12345678 Closing Balance 2,077.00 Date Description Payments Receipts Balance Opening balance 0.00 3 Feb Capital contributed - cash and bank loan 6,800.00 6,800.00 Cr 4 Feb DD - All Cover Insurances Pty Ltd 105.00 6,695.00 Cr 5 Feb DD – Keep In Touch Pty Ltd 95.00 6,600.00 Cr 6 Feb EFT – Online Tennis Sales Ltd 3,350.00 3,250.00 Cr 6 Feb EFT – Computer Warehouse Pty Ltd 1,650.00 1,600.00 Cr 11 Feb EFT- Neighbourly Social Media 185.00 1,415.00 Cr 18 Feb Deposit - Cash 360.00 1,775.00 Cr 20 Feb EFT – Various Suppliers 155.00 1,620.00 Cr 21 Feb Deposit - EFT 480.00 2,100.00 Cr 25 Feb Deposit - Cash 650.00 2,750.00 Cr 27 Feb EFT – Court Hire 651.00 2,099.00 Cr 28 Feb Statement and bank charges 22.00 2,077.00 Cr Required 1) For those of the above that are transactions, prepare the general journals for the month ended 28 February 2025. Narrations are not required, however, dates must be clearly specified. Depreciation or other adjusting entries (for example accrued interest on a loan) are NOT necessary. (15 marks) 2) Post all the journals from (1) above to the general ledger and prepare a trial balance as at 28 February 2025. (18 marks) 3) Prepare the following for Challenger Tennis Coaching Pty Ltd: a) Statement of Profit or Loss for the month ended 28 February 2025. b) Calculation of retained earnings for the month of February 2025. c) Classified Statement of Financial Position as at 28 February 2025. (12 marks) (Total = 45 marks which equals 15% of the total course mark)
Business School Coursework Portfolio Management and Investment Banking (666086) Group Coursework: “The Global Portfolio simulation” Trimester 2, 2024-2025 Title: The Global Portfolio simulation Overview You are analysts ofthe HSBC UK holdings Group, and specifically in the asset management team (up to 3 members) and your target is to build and manage a global multi-asset portfolio over a simulated period. The focus is on risk and return, with ESG considerations introduced as an integral, but flexible, component. The assignment will have 3 distinct components: 1. Initial Portfolio selection: a. Select a portfolio of different securities (you must choose up to 30 to make the analysis simple). The choice is between international stock and bond market. b. The choice will be based on the typical ways of selecting securities, as well as constructing a portfolio c. Your answers need to be justified based on data and theory. 2. A recalibration of the portfolio: a. You recalibrate your portfolio altering the current holding position in the market. 3. Final report: a. In the final report, you must discuss and analyse the outcome of your portfolio, as well as the actions in the two other deliverables (initial portfolio selection and recalibration of the portfolio) Detailed information The deliverables are 3 documents, 2 excel files and 1 word file (and an appendix document if it is needed). The first deliverable will be related to the 1 distinct component. The second deliverable will be related to the second component (recalibration of the portfolio) and the last will be the final report. Moreover, you will need to include an appendix. The appendix could be either a new file (excel file, python code etc) or it could be the last part of the word file Assignment Title: The Iterative Global Portfolio Challenge Assignment Overview & Rationale You are analysts for the HSBC UK Holdings Group, working within the asset management team (up to 3 members). Your task is to design, manage, and evaluate a global multi-asset portfolio over a simulated period. The challenge emphasizes achieving an optimal balance between risk and return while incorporating ESG (Environmental, Social, and Governance) considerations. The assignment has three distinct components: 1. Initial Portfolio Selection: Design and justify an initial portfolio using global equity and bond markets. 2. Portfolio Recalibration: Adjust and recalibrate the portfolio at defined intervals based on real market data. 3. Final Report: Provide a comprehensive analysis of the portfolio’s performance and insights gained from the exercise. Critical comment: Failing to submit any of the first two excel deliverables (initial portfolio and calibrated), will cost you many points even if, you construct a theoretical portfolio in your final deliverable (the report) Assignment Objectives 1. Analyze global stock and bond market performance, including their relationships and correlations. 2. Develop sectoral and regional allocation strategies using theoretical frameworks such as Modern Portfolio Theory (MPT). 3. Integrate ESG considerations into portfolio decision-making. 4. Provide actionable investment recommendations through critical analysis and data visualization. 5. Develop innovative insights into portfolio management through recalibration and performance analysis. Assignment Instructions Component 1: Initial Portfolio Construction (17-March) Objective: Allocate a fictional capital of $1,000,000 among global asset classes (equities and bonds). Guidelines: 1. Select up to 30 securities from international stock and bond markets. 2. Justify your selection based on: o Risk tolerance and expected returns. o Theoretical frameworks such as MPT and CAPM. o ESG criteria (optional but encouraged). 3. Use data from Bloomberg and other credible sources to support your decisions. 4. Deliverable: Submit an Excel file containing the initial portfolio allocation, security details, and theoretical justifications. ( The justification will be included in the final word file) Component 2: Portfolio Recalibration (7-April) Objective: Update and rebalance your portfolio at three distinct intervals. Guidelines: 1. At each interval, adjust portfolio holdings based on: o Market performance data (e.g., stock price movements, bond yield changes). o Changes in macroeconomic and industry indicators (e.g., GDP growth, interest rates, specific sector changes, stock market index data, sentiments scores). o ESG developments (e.g., corporate scandals, sustainability initiatives). o Also, follow the relevant theory and practice for rebalancing portfolios in the relevant lecture’s material. 2. Deliverable: Submit an updated Excel file with recalibration details and written justifications for changes. (the justification will be included in the final word file) Component 3: Final Report and Presentation (28-April) Objective: Analyze the overall portfolio performance, evaluate decision-making processes, and provide actionable recommendations. Guidelines: 1. The report should include and have the following structure: a. Introduction (200 words): 1. Overview of the initial strategy, including risk/return goals and ESG criteria. b. Main Body (2100 words) 1. Defining benchmarks and strategy: • A short overview of the current performance of asset classes or, financial markets in an international framework. Based on this, you need to define the benchmark for your portfolio • You choose a benchmark in relation with your risk aversion and expected reward to risk. 2. Initial portfolio Justification: Explain why you choose this combination of securities in Component 1: “Initial Portfolio Construction” • Explain based on your risk tolerance and risk aversion • Explain based on your risk/reward goals • Use appropriate models and theory for balancing and allocating securities in a portfolio • Include any ESG considerations 3. Rebalancing Decisions: • Analysis of portfolio performance at the time interval between the initial and the rebalanced (deliverable 1 &2) portfolios, with metrics (e.g., returns, volatility). • Explain why you did the rebalances you did • Use again theory and tools described in the workshops and lectures 4. ESG Impact: • How ESG considerations influenced portfolio decisions. 5. Portfolio performance and reflection: • Analyze the portfolio performance • Compare the performance with the benchmark c. Conclusion (200 words) 1. Adjustments: • What adjustments would you make in your trading strategy? • Was your strategy the appropriate one, based on the financial conditions? Should you follow a more active, passive, risky or safe strategy 2. Include advanced visualizations: a. Comparative charts showing stock and bond market movements. b. Sectoral and regional performance plots. c. Risk metric trends over time. 3. Deliverable: Submit a 2,500-word report in Word format. Data Requirements 1. Data Sources: Bloomberg, Yahoo Finance, or other credible platforms. 2. Types of Data: o Historical stock and bond market data (five years, monthly or quarterly frequency). o Macroeconomic indicators (GDP growth, inflation, monetary policy rates). o Sectoral performance data (e.g., technology, energy). 3. Analysis Tools: Excel, Python, or Bloomberg Terminal functions. 4. Graphs and Plots: Include advanced plots, such as comparative charts and yield curve trends, to support analysis. Submission Requirements 1. Deliverables: o Deliverable 1: Excel file with initial portfolio selection. o Deliverable 2: Excel file with portfolio reallocation of securities. o Deliverable 3: Final report in Word format (2,500 words). o Identify your file using your student number. 2. Report Length: 2,500 words (±10%), excluding title page, tables, figures, references, and appendices. Exceeding the word count will be penalized with10 points. 3. Excel File: Submit an Excel file containing: o Data sources, securities allocation, and securities details 4. Formatting: Double-spaced, Times New Roman, size 12, standard margins. 5. References: Use Harvard referencing style. Ensure all cited works are included in the reference list and vice versa. General Suggestions 1. Start Early: Allocate sufficient time for research, analysis, and review. 2. Use Data Effectively: Justify recommendations with credible data and clear visualizations. 3. Base your answers on module’s content: During the lectures and workshops, we will use metrics to estimate the return of the portfolio, measure risk, and proposing alternative strategies for defining the optimal portfolio. I expect you to use what will be taught. 4. Collaborate: Leverage team strengths to divide tasks and ensure high-quality deliverables. 5. It will be uploaded an excel file as a “template” for your deliverables 6. You will also have to do a few estimations. For example, you may need to estimate the correlation between asset, or the beta of the portfolio amongst others. These estimations have to be clear in the appendix document or section of the main report. Similarly, you have to include charts that may be helpful.
Assignment 2 - Video Presentation (35%) Principal Component Analysis TASK For your video presentation, you must demonstrate your PCA analysis on the continuous features of the WACY-COM dataset and interpret the results. Submit the recording via the Panopto link on Canvas. Please ensure you follow the instructions carefully. The due date for this assessment is Friday of Week 6 on 4 April 2025 before midnight. Perform PCA and Visualise Data (i) First, copy the code below to a R script. Enter your student ID into the command set.seed(.) and run the whole code. The code will create a sub-sample of 400 that is unique to you. #You may need to change/include the path of your working directory #Import the dataset into R Studio. dat
Molecular dynamics simulations of a small synthetic protein 1. Objective The objectives of this practical are • to perform. a series of molecular dynamics (MD) simulation of a protein in vacuum and in water • to obtain trajectory files to be analysed using readily available tools and by developing Python-based tools using available libraries. • an introduction to running calculations on shared high performance computing systems. In this session, your aim is to perform. molecular dynamics on a small synthetic protein (chignolin) that is known to fold rapidly. You will use a widely-used simulation package, GROMACS, for molecular dynamics. Due to the size of the simulations, these will be run on the University’s high performance computer, Lyceum (this is a part of a larger computing system; Lyceum is used for undergraduate teaching and research). You should have received an email about your account setup on Lyceum; you can log in with your university credentials. Some of your molecular dynamics simulations will be run during this session. To have molecular dynamics that will run quickly enough, you will first simulate the protein in vacuum. Your aims will be to run molecular dynamics on a starting geometry taken from the Protein Data Bank (PDB) - these are experimentally determined structures - and on a geometry of the protein that is generated on the computer in an extended (unfolded) state. We will use a python library MDanalysis to analyse the results of the molecular dynamics, giving you scripts that you can use to analyse later calculations that you will set up to run over the time between this session and the 3rd molecular dynamics practical session. So the second aim of the practical is to set up calculations of the protein in water that you can set running by the end of the session. For this, we need to get a few preliminary steps performed during today’s session: energy minimisation and ‘equilibration’. In total, we are aiming for the following simulations to compare their behaviour: PDB starting geometry: in vacuum at 280 K, in vacuum at 310 K, in water at 280 K, in water at 310 K Linear (unfolded) geometry: in vacuum at 280 K, in vacuum at 310 K, in water at 280 K, in water at 310 K Vacuum runs are to be run for 30 ns in length. Simulations in water should be 160 ns in length. 2. Practical report Your report for this week should include a few components. You should have a number of moIecuIar dynamics simuIations compIete by the end of today’s practicaI session. These are: simulations of the protein in vacuum at two temperatures, as well as energy minimisation and (equiIibration’moIecuIar dynamics of the protein in water. These two stages of the simuIations in water precede the (production’simuIations, which you wiII anaIyse in the third practicaI session (week 25). Please submit in zip or tar format the contents of your working directory on Lyceum. You should have a well-organised directory structure for your calculations. We can help in making the zip or tar file. Submit a Jupyter notebook of your analysis scripts. You will use a python package called MDanalysis to perform. analysis of your molecular dynamics. You should have code that performs a few types of analysis: i) monitoring the root mean squared deviation in structure between the simulated structure and the reference structure of the protein over the course of the molecular dynamics. You should submit this code, along with results from analysis of the protein in vacuum (at two temperatures) and equilibration of the protein in water; ii) code to monitor the distance between the two ends of the protein through the course of the simulations, along with plots from the vacuum simulations and equilibration of the protein in water and iii) code to calculate a histogram of the distance between the two ends of the protein, followed by calculation of the free energy. You will use these scripts to analyse the (production’runs that are performed over the time between this session and the 3rd molecular dynamics practical. You will be asked to comment on some of the results. You may include these comments in the jupyter notebook or as a separate pdf. The zip (or tar) and pdf might not be able to be submitted on eassignments. These can be emailed to [email protected] 3. Requirements This exercise requires access to a machine running any Linux flavour with GROMACS installed. Other useful software packages are: - Visual Molecular Dynamics5, 6 (VMD) - www.ks.uiuc.edu/Research/vmd - PyMOL7 pymol.org - MDAnalysis8 - mdanalysis.org using your university login details - Access to the Lyceum HPC. From a Windows machine, MobaXTerm is recommended. See https://hpc.soton.ac.uk/redmine/projects/iridis-5-support/wiki/Connecting_to_Iridis_5 The theory behind MD simulations is not covered in these notes. See section 3.3 of Essentials of computational chemistry theories and models 2nd ed. (Christopher Cramer), available electronically on the university library website. You will need to gain some basic skills in using the HPC system Lyceum, which uses the Linux operating system. The following resources might be helpful (and please ask the demonstrator!): https://cheatography.com/davechild/cheat-sheets/linux-command-line/pdf/ http://www.ee.surrey.ac.uk/Teaching/Unix/ For visualising the protein, you can use PyMol or VMD and the following should be helpful. https://chryswoods.com/dynamics/visualisation/README.html(VMD) https://bioquest.org/nimbios2010/wp- content/blogs.dir/files/2010/07/pymol_tutorial3.pdf(PyMol) 4. PDB structure files The first step to perform. a simulation is to obtain a structure PDB file for the protein of interest. In this practical, we will study the small synthetic protein chignolin, you can access a structure at the RCSB10 Protein Data Bank (rcsb.org) using PDB ID 1UAO. This file describes the 3D structure of the protein using a PDB formatting scheme. In a PDB file, the first 8 columns describe the type of information records in each line, as laid out in Table 1, following the specifications available at wwpdb.org12. The description of the 3D structure of a molecule is essentially condensed in the COORDINATE section, in ATOM lines, where all atom info is included. In the case of biomolecules, atoms are organized in residues, either protein or nucleic acid residues. Table 1. Sections allowed in a PDB file and their content. ATOM lines constitution is laid out inTable 212. In the case of proteins, other molecules present in the structure file (water molecules, ions, etc.) that are not part of the protein are described in HETATM lines. HETATM and ATOM lines are organized in the same way and are exemplified in Figure 1. Table 2. ATOM lines in a PDB file. Figure 1. ATOM/HETATM line organisation in a PDB file. 5. Topology preparation The pdb file contains an ensemble of 18 conformers of chignolin determined by NMR. First we need to remove the unwanted NMR structures from the PDB file. We can do this using any text editor. You may keep any of the 18 structures. The system topology can be created using the pdb2gmx module. Before running the command for GROMACS, you will need to load the module, which sets up the software for you. You will need to do this each time you login with the command: module load gromacs/2022.3/intel Now that you have the module loaded, a simple interactive version can be run with the command line gmx_mpi pdb2gmx -f 1UAO_clean.pdb -o 1UAO_processed.gro and a more complete and user-independent command would use more options, such as gmx_mpi pdb2gmx -f 1UAO_clean.pdb -o 1UAO.gro -p topology.top -ff amber99sb -water tip3p -ignh This command invokes GROMACS (gmx_mpi) module pdb2gmx with the option -f to read a file and -o to write a file, invoking the system's topology with -p and specifying the forcefield (-ff) and water model (-water). Another option frequently used is the -ignh one, in which all H atoms in the input file are disregarded and H atoms are de novo assigned to the molecule based on the force field files. A full list of options for these and all other GROMACS module can be found in the online documentation (manual.gromacs.org), under the correct version – just search for command line reference. The pdb2gmx command generates various ouput files, in particular the topology.top one, that describes the system and will be updated in several steps, and a number of gro extension files, a simpler version of PDB files for internal GROMACS use together with a topology. A sample gro file is shown in Figure 2. The first line of the files is a title for the system, and the second one lists the total number of atoms in the system. The last one includes the vectors that define the simulation box, in the sequence v1(x) v2(y) v3(z) v1(y) v1(z) v2(x) v2(z) v3(x) v3(y), in which only the three first values are required to describe a parallelepipedal simulation box, while the others are considered zero. Topology files contain all the necessary information about the system structure, organized by atoms, bonds, angles, dihedrals, impropers, etc, allow the inclusion of other topologies (other molecules) in the system, and allow applying restrictions – applying a force to a given set of atoms to prevent those atoms from moving too much. In a topology file, comments are marked with a semicolon ; - lines starting with # are not comments. Figure 2. A sample gro file – initial and final sections. LYSOZYME 1323 1LYS N 1 3.536 2.234 -1.198 1LYS H1 2 3.612 2.288 -1.236 1LYS H2 3 3.470 2.214 -1.270 […] 129LEU C 1321 4.212 1.238 0.737 129LEU O1 1322 4.173 1.228 0.856 129LEU O2 1323 4.323 1.268 0.691 5.90620 6.84510 3.05170 The steps described in this section are the necessary ones, and are enough if you are in fact using the 1UAO model. If you use other proteins, you will need to be sure the file you retrieve can be used. Search for anisotropy lines, and other alternative locations. Many experimental models also miss some atoms and even residues. While one or two atoms are easily added using Jmol, adding whole residues is more demanding. Browse the internet for your problem – someone is likely to have had it before and found a solution!
Course/Programme: MSc International Business and Management (IBM) Level: 7 Module Title: Global Operations and Supply Chain Management (GOSCM) Assignment title: Report Assignment number: 1 Weighting: 100% of overall module grade Date given out: 15 January 2025 Submission date: 9 April 2025 Eligible for late submission (3 calendar days, with penalty)? Yes Method of submission: X Online only Online and paper copy Special instructions for submission (if any): Completed assignment is to be submitted to the UoS Brightspace only Date for results and feedback: 9 May 2025 Learning outcomes assessed: On successful completion of this module, the student will be able to: ● Understand the principles and role of operations and supply chain management in national and international context ● Critically evaluate the nature and importance of inter- relationships in operations and supply chain management ● Apply operations and supply chain optimization tools and techniques in a range of situations ● Critically apply knowledge gained in real-world examples and be able to evaluate operations and supply chain innovations Learning outcome(s) assessed by this assignment: All learning outcomes were assessed. At the postgraduate level you are expected to: show evidence of assignment planning have a high standard of presentation, structure, layout, and design demonstrate appropriate coverage, critical appreciation, and evaluation of relevant literature demonstrate a critical understanding of key concepts and the application of theory to practical solutions show evidence of originality of thought and approach, and creative problem-solving ability The mark awarded for this piece of work remains provisional until ratified by the Assessment Board. Assignment brief: Background & History: Guangzhou Xiaopeng Motors Technology Co., Ltd., operating as XPeng Motors, has rapidly emerged as a significant player in the electric vehicle (EV) market since its establishment. XPeng's journey from start-up to its current status reflects a broader trend in China's automotive industry toward electrification and smart mobility solutions. Foundation and Early Development ● Founded in 2014: XPeng Motors was established in Guangzhou, China, with a vision to develop smart electric vehicles that integrate advanced technology and connectivity (CNEVPost, 2021). ● Initial Funding: XPeng secured early investments from major investors, including Ucar Capital, Alibaba, Foxconn, IDG Capital, and founders He Xiaopeng and Lei Jun (CNEVPost, 2021). Product Launches and Milestones ● First Vehicle - G3: XPeng launched its first smart electric SUV, the G3, on December 12, 2018. The G3 was designed to appeal to tech-savvy consumers with its innovative features and competitive pricing (CNEVPost, 2021). ● P7 Sedan Introduction: In May 2020, XPeng began deliveries of its second model, the P7 sports sedan, which quickly gained popularity due to its competitive pricing, advanced technology and performance (CNEVPost, 2021). Public Listing ● IPO on NYSE: XPeng Motors went public on August 27, 2020, on the New York Stock Exchange (NYSE) under the ticker symbol "XPEV." The successful IPO valued the company at approximately $14.96 billion (XPeng, 2020). Technological Advancements ● XPILOT System: XPeng has developed its proprietary autonomous driving system known as XPILOT. The company rolled out XPILOT 3.0 in January 2021, enhancing automated driving capabilities. The P5 model, launched in September 2021, became notable for being one of the first mass-produced EVs equipped with LIDAR technology (XPeng Inc., 2021; CNEVPost, 2021). ● Continued Innovation: Xpeng is committed to continuous product development, unveiling new models and planning further releases to expand its portfolio. Challenges Faced Despite early successes, XPeng encountered several challenges that impacted its growth trajectory. In 2022, the company faced its biggest crisis since its founding, experiencing only a 23% increase in annual vehicle shipments compared to previous years when growth rates were as high as 263% (Business Times, 2023). This stagnation was attributed to a problematic sales culture, weak supply chain management, and external factors such as declining demand and an intensifying price war in the EV market. The launch of the G9 SUV in late 2022 did not meet expectations, leading to further scrutiny of XPeng's marketing strategies and production costs (Business Times, 2023). The company's management recognized the need for significant restructuring to improve efficiency and streamline operations. Recent Developments In 2023, XPeng began to recover from its setbacks by implementing strategic changes within its corporate structure. The company focused on enhancing supply chain management and reducing production costs (Business Times, 2023). However, rather than shortening payment terms with suppliers, the company was reported to be taking longer to fulfill its obligations, with payment durations increasing to 221 days by the end of 2023, up from 179 days in 2021 (Caixin Global, 2024). This delay highlights the stress in China's competitive auto market, exacerbated by reduced demand and intense price wars (South China Morning Post, 2024). The introduction of the Mona M03 model on August 27, 2024, marked a turning point for XPeng, with over 10,000 orders placed within the first hour after launch (CNEVPost, 2024). However, it is likely that managing this surge in demand would posed new challenges related to production capacity and supply chain logistics. As of late 2024, XPeng Motors continues to grow within the competitive EV landscape. The company focuses on mid-to-high-end electric vehicles priced between RMB 150,000 and RMB 400,000, targeting a growing base of middle-class consumers in China (CNEVPost, 2024). In July 2024, XPeng reported delivering 11,145 vehicles, marking its fifth consecutive month of growth and a total of 63,173 vehicles delivered in the first seven months of the year, a 20% increase from the previous year (XPeng Inc., 2024) . With ongoing investments in technology and infrastructure, XPeng is clearly positioning itself to compete with established players like Tesla and other emerging EV manufacturers in both China and overseas markets. References Business Times. (2023). How China EV maker XPeng got back into gear after stalling in 2022. Available at: https://www.businesstimes.com.sg/international/global/how-china-ev-maker- xpeng-got-back-gear-after-stalling-2022 [Accessed 19 Nov. 2024] Caixin Global. (2024). China's EV makers taking longer to pay bills amid rising stress. Available at: https://www.caixinglobal.com/2024-05-20/chinas-ev-makers-taking-longer-to- pay-bills-amid-rising-stress-102198173.html [Accessed 19 Nov. 2024]. CNEVPost. (2021). Meet The Xpeng P5: World's First Production EV With LIDAR. Available at: https://insideevs.com/news/537039/xpeng-p5-lidar-video/ [Accessed: November 19th, 2024]. CNEVPost. (2024). Xpeng gears up for Mona M03 deliveries. Available at: https://cnevpost.com/2024/08/29/xpeng-readies-mona-m03-deliveries/ [Accessed 19 Nov. 2024]. South China Morning Post. (2024). Chinese EV makers delay payments to vendors as they feel the heat from slowing sales. Available at: https://www.scmp.com/business/china- business/article/3263341/chinese-ev-makers-delay-payments-vendors-they-feel-heat- slowing-sales-price-cuts [Accessed 19 Nov. 2024]. XPeng Inc. (2020). XPeng Announces Pricing of Initial Public Offering. Available at: https://ir.xiaopeng.com/news-releases/news-release-details/xpeng-announces-pricing-initial- public-offering [Accessed 19 Nov. 2024]. XPeng Inc. (2021). XPeng New LiDAR-Equipped P5 a Game-Changer for Smart EVs. Available at: https://ir.xiaopeng.com/news-releases/news-release-details/xpeng-new-lidar- equipped-p5-game-changer-smart-evs [Accessed: November 19th, 2024]. XPeng Inc. (2024). XPENG Announces Vehicle Delivery Results for July 2024. Available at: https://ir.xiaopeng.com/news-releases/news-release-details/xpeng-announces-vehicle- delivery-results-july-2024 [Accessed 19 Nov. 2024]. REQUIRED 1. In early 2025, you joined XPeng as a management trainee. As part of your employee orientation, you are required to submit a report addressing specific questions related to XPeng. 2. Your report should evaluate XPeng’s current supply chain design, strategies, and operations management setup. Your report should cover the following supply chain and operations management concepts: ● Strengths of the Supply Chain Design and Operations Management: ● Efficiency/Cost ● Dependability ● Quality ● Innovation ● Flexibility ● Weaknesses of the Supply Chain Design and Operations Management: ● Efficiency/Cost ● Dependability ● Quality ● Innovation ● Flexibility Evaluate and discuss XPeng’s supply chain management and operations management using the following concepts: ● Integration of Global Supply Chain Management: ● Global sourcing strategy and local responsiveness ● Contract manufacturing ● Vertical integration ● Managing supplier relationships ● Exporting and transportation ● Trade protectionism: impact on supply chain design ● Location Strategies: ● Dimensions and features ● Factors affecting location decisions ● Compatibility of the foreign-based manufacturing base ● Operation hubs and industrial clusters ● Managing Uncertainties vs. Sustainable Supply Chain Strategy ● Risk Assessment and Management: ● Technology: Supply Chain Visibility & Data-Driven Decision Making ● Reverse logistics (Circular Economy) ● Sustainable Procurement Practices 3. Conduct thorough research, including real company examples from XPeng or related EV manufacturers, to support your discussions effectively. 4. Based on your findings, include a section on recommendations for enhancing XPeng's supply chain design and operational efficiency. Make actionable recommendations to help XPeng improve its supply chain and operations management, thereby expanding sales in both China and the European market. Compile your findings into a report titled “XPENG: Supply Chain and Operations Management - Strategic Recommendations.” 5. In your report, you will demonstrate the learning outcomes by drawing evidence from a broad range of recently published academic literature, research papers, and reports from leading industry publications in operations and supply chain management. You are required to analyze, discuss, and propose viable strategies or alternatives. You must utilize at least ten (10) published academic research papers and leading industry publications. Format - further guidance: ● Assignment Cover Sheet o Module Name o Assessment Title o Word Count o Student ID number o Report Title: XPENG: Supply Chain and Operations Management - Strategic Recommendations ● You are expected to structure the writing of your report as follow: Introduction Findings Discussion Conclusion Recommendations ● You will include a correctly formatted reference list and in-text citations using UoS Harvard referencing format. Refer to http://libguides.uos.ac.uk/friendly.php?s=academicskills/referencing. ● Your work should be presented in a report format, using headings and including a content page and page numbers. ● Please choose a clear font (either Arial or Calibri) using size 12. ● Please ensure your work is 1.5 spacing. ● Your total word limit is approximately 3,500 words (+/-10%). Employability Skills This module will provide students with opportunities to acquire and demonstrate the following employability skills: independent learning; research; critical thinking and analysis; problem- solving; interpersonal skills and communication skills (written and oral). Assessment Criteria (part 1/2): The assessment guidelines below offer guidance on marking criteria and outline expectations in this module regarding word limit, presentation time, referencing, and consequences for non- compliance. Submissions exceeding the word count by more than 10% will be penalized. Presentations exceeding the allotted time will lose marks. Claims without proper in-text citations and referencing will result in automatic failure. Review guidelines carefully and consult library referencing guidance to avoid penalties. Referencing: Ensure that all submissions are appropriately referenced and adhere to academic integrity guidelines. All claims and facts in your academic submission must be supported by references in Harvard style. Any work submitted without in-text citations and a reference list will result in an automatic refer. Simply listing references at the end without using them as in-text citations throughout your work will also result in a refer. Refer to library guidance on the proper use of in-text citations and referencing. http://libguides.uos.ac.uk/friendly.php?s=academicskills/referencing Wordcount: Written submissions within (+/- 10%) of the stated word limit will not be penalized. Submissions exceeding the word count by more than 10% will be penalized by deducting 10% from the overall marks. Any content exceeding the maximum word count by over 10% will neither be read nor contribute toward assignment marks. Word count excludes references and executive summary. Presentation Length: Presentations must be within the allotted time. Presentations will be stopped at the end of the allotted time. 5% will be deducted from the total marks for presentations which go over the allotted presentation time. Using AI: On this module, you may use AI appropriately in your assessments, such as Grammarly for grammar corrections or ChatGPT for generating ideas. However, AI should not be used to generate the final text—whether written, verbal, or in video format— submitted for assessment. All work must be expressed in your own words, developed and constructed by you. If there are concerns about inappropriate AI use, you may be required to have a conversation with your module leader(s) to discuss your approach to the assessment. Rubric Criteria: The table below shows you how your grade will be calculated. Each criteria reflects module learning outcomes and reflects the University’s expectations of students at your level of study - understanding of the basic underlying concepts and principles, cognitive and intellectual skills, application of theory to practice, referencing, and attention to your presentation, style, and structure.
MODULE CODE : CHEM0019 ASSESSMENT PATTERN: CHEM0019A5UD 001 CHEM0019A5UE 001 MODULE NAME : Physical Chemistry Candidates should attempt ALL questions. Each question is marked out of 20 and the numbers in square brackets in the right-hand margin indicate the provisional allocation of marks to the subsections ofa question. To obtain full marks you must show all steps of your working. You must write down all equations and all the numerical values that you use in your calculations. 1. Answer ALL parts. (a) Consider the following elementary reactions, with rate coefficients indicated: A2 + M → 2A + M k1 A + B → C + D k2 C → A k3 (v) Explain BRIEFLY what is meant by the steady state approximation and use it to obtain an expression for the concentration of species A in terms of rate coefficients and other species concentrations in the reactions above. [2] (b) (i) Write down the mechanism proposed by Lindemann to account for the kinetics of the unimolecular decomposition reaction E = products (P). [3] (ii) Using your mechanism, derive an expression for the rate of product (P) formation in terms of rate coefficients and stable molecule concentrations only. [2] (b) (iii) The experimentally observed rate coefficient kobs for the decomposition of species E, defined by was found to be k bs = 57.1 s–1 when the total concentration of all species present [M] = 5 × 10–3 mol dm–3 , and k bs = 64.0 s–1 when [M] = 8 × 10–3 mol dm–3 . Use these data to determine a rate coefficient and a ratio of rate coefficients from elementary reactions in your mechanism. (iv) Explain BRIEFLY and QUALITATIVELY the principal deficiency of the Lindemann mechanism and how the mechanism could be improved. Kinetic derivations are not required here. [2] 2. Answer ALL parts. (a) 2 H127 I has a rotational constant B0 = 3.223 cm-1 and harmonic wavenumber we = 1639.65 cm-1. (i) Calculate the reduced mass of 2H127I in kg. [3] (ii) Calculate the equilibrium bond length r0 of 2H127I in pm. [3] (iii) Calculate the force constant k of 2H127I in N m–1 . [3] (iv) Explain how the rotational constant would vary with increasing vibrational quantum number. [1] (b) In the vibrational absorption spectrum of 1H81Br, the fundamental and first overtone lie at 2558.54 cm-1 and 5026.645 cm-1 respectively. (i) Label these transitions on an energy level diagram and determine we and wexe. [5] (ii) Calculate the well depth De and dissociation energy D0 of 1 H81Br in cm-1. [3] (iii) Explain how D0 and De would differ for 2 H81Br compared to 1 H81Br. [3] USEFUL INFORMATION Relative isotopic masses: 2 H 2.014; 127 I 126.904 3. Answer ALL parts. The π molecular orbitals (MOs) of 1,3-butadiene may be expressed using a linear combination of atomic orbitals, , where is the carbon 2p orbital perpendicular to the molecular plane at atom k with the atomic labelling H2C1=C2H-C3H=C4H2. A Hückel calculation gives normalised π MOs (Ψiπ with i = 1, 2, 3, 4) with the following coefficients: (a) Using circles of different size and shading to represent the magnitude and phase of the atomic orbital coefficients, sketch the π MOs, indicating any nodal planes. [4] (b) Write down the Hückel secular equations in matrix form in terms of (f) A Hückel calculation on C2 H4 (ethene) yields a total π electron energy of 2α + 2β and a π bond order of 1. Compare these values to those calculated in parts (c) and (e), and hence describe the π bonding in 1,3- butadiene. How realistic are the assumptions in the Hückel calculations for 1,3-butadiene? [6] 4. Answer ALL parts. (a) 14N16O has a doubly degenerate ground electronic state and a low-lying doubly degenerate first excited state of the same multiplicity at a relative energy corresponding to a wavenumber of 121 cm-1. (i) Assuming that no other electronic states contribute, write the expression for the electronic partition function qE and calculate its value at 298 K. [4] (ii) State how you would expect the expression for qE to change if both the ground and the first excited electronic states were non- degenerate and separated by a much larger energy. [1] (iii) Explain why a maximum is observed at approximately 75 K in the calculated excess heat capacity CV for 14N16O. [4] (b) The rotational temperature of a molecule is given by , where B is the rotational constant. This expression is used to justify the validity of the continuum approximation. For 14N16O: (i) calculate the rotational temperature given that its moment of inertia 5. Answer ALL parts. (a) Define the term azeotrope. Sketch and label the temperature-composition phase diagram for a positive azeotrope. Indicate the azeotropic composition on the diagram. [3] (b) 2.5 kg of benzene (molar mass Mb = 78.11 g mol-1) is mixed with 1.5 kg of toluene (molar mass Mt = 92.14 g mol-1) at 303.15 K. Assuming ideal behaviour, calculate the Gibbs energy of mixing, the entropy of mixing and the enthalpy of mixing. [8] (c) Two components, A (vapour pressure of pure A, pA(*) = 26.3 kPa) and B ( pB(*) = 23.4 kPa) are mixed at 298.15 K. At equilibrium after mixing, the mole fractions of A in the liquid phase and in the vapour phase are xA = 0.7 and yA = 0.81 respectively. The total vapour pressure of the mixture is p = 20.3 kPa. Calculate the excess molar Gibbs free energy of the mixture. Is mixing of A and B more or less favourable than that in an ideal mixture? [5] (d) Molecules composed of a hydrophilic head and a hydrophobic chain can form. structures in water, where the solvated heads are on the surface protecting the chains at the centre from the solvent. These structures form. in response to a chemical potential μ = Ya + Ka , where a is a variable describing the solvated surface of each molecule exposed to water, γ is a constant describing the attraction between the chains, and K is a constant describing the repulsion between the heads. Draw and label a plot of μ as a function of a. Comment on the nature of this equilibrium in terms of the dynamics described above. [4]
OTM 300 Individual Assignment #1 Buckingham Chocolates Due on Sunday, March 16th, by 11:59 PM Learning Objectives: The objectives of this assignment are for students to be able to: · Describe variability statistically · Implement and interpret statistical process control charts · Recognize and interpret common quality-related terms used in practice · Be more confident and experienced with analyzing data using Microsoft Excel The Setting: Buckingham Chocolates is a mid-sized regional producer of chocolate candy bars. They produce a variety of sizes and flavors, and each order is filled to customer specifications. For this assignment, you will be given an excel file containing the required data and assignment questions. The Assignment: There are six pages in the excel assignment file. The first page gives an overview of the chocolate production process, including a link to a short video. On page two you will assess yield rates for each stage of the production process, as well as for the process overall, and will construct a p chart for statistical process control. On the third and fourth pages you are given additional data and will assess the impact of two input factors on the output of the process. Page five returns to the data on yield rates, and you will be required to construct a histogram for the overall process yield rate data. Finally, on page six, you will use data on the weights of chocolate bars to measure process capability. It may be helpful to reference the following materials for any questions you may have: · Lecture videos and slides · Practice problems · Chapters 5 and 9 from our text · Internet search engines · If you still have questions, please contact the instructor or one of the TAs All answers should be provided in the yellow spaces indicated on the spreadsheet. As indicated there, some answer boxes should contain numbers and others require a short explanation. For those cells requiring numbers, use a formula or function to obtain the answer. If you are copying a number from another cell where the value was calculated, then reference the source cell in the new cell. You should never just type a number in a cell when completing this assignment. By clicking on the cell, we will then be able to see how the number was calculated. Showing your work: Remember this is an individual assignment, and we encourage you to use this assignment to improve your proficiency using Excel. As you complete your assignment, please: 1. Do not calculate numbers by hand, you should be using Excel functions and formulas. 2. Make your Excel document such that everything will update automatically if one were to change a data-point. (This should be the case if you are using Excel functions and formulas correctly). This is good practice, as in business you want to be able to change/update data without having to redo all your analyses. 3. Do not add columns or rows to your spreadsheet, and be sure to put answers in the cells indicated. This assignment will be, in part, graded using a computer program and if you have the correct answer in the wrong cell it will be marked wrong. Getting Your Assignment File: In Canvas, click on the Modules tab and then click on "Analytics #1 Buckingham Chocolates." Download the file version indicated based on your campus identification number. Submitting Your Assignment In Canvas, click on the Modules tab and then click on "Analytics #1 Buckingham Chocolates." You can upload your file here through the submission link provided. The file you submit must be an Excel file (.xls or .xlsx).
Mathematics and Religious Philosophy in the Enlightenment Explore how mathematical ideas influence religious debates during the Enlightenment, particularly arguments for the existence of God based on order and design in nature, which debates? 1. The essay will discuss how the Enlightenment scientists like Issac Newton use mathematics to argue the existence of God. Newton uses math to show the order of the universe. He thought that precise math is not only explained by physics but also represents the wisdom of God. He combined theological perspectives to explain math and physical phenomena in his book Philosophiae Naturalis Principia Mathematica to show that God is the designer of the universe. 2. The contribution of Laplace and Bayes in religious arguments about probability theory during the Enlightenment. This essay will discuss how probability supports the rationality of religion. Laplace and Bayes used early forms of probability theory to argue whether the phenomenon observed in nature supports the existence of God. The atheistical perspective and methods of Laplace and Bayes is representative to reflect how people challenge the religious and philosophical views at that time. 3. The essay will discuss the critique of rationalism during Enlightenment about how mathematics challenges religious miracles. Scientists like Hume and Bayesian used math models and statistics analysis to assess the probability that a religious miracle happened, especially how to assess the miracles in the Bible and some other religious texts. Their methods influenced the view of people who believe that gods created everything, which was the mainstream at that time. This view made people recognize the world rationally and relied more on science. Bibliography Richardson, W.M., & Wildman, W.J. (Eds.). Religion and Science: History, Method, Dialogue. ( 1st ed). Taylor, Francies. 2012. New York. https://doi.org/10.4324/9780203866511. Accessed 28 February 2025
Econ 4093 -Assignment 1 Total 100 points 1. In lecture 1, we show evidences that urbanization is positively associated with the level of economic growth and income. In this exercise, we have data on urbanization rate, GDP per capita and average wage in Chinese provinces from 2005 to 2020. Please verify the relationship between urbanization and economic growth/wage by running the following regressions (Total 20 points, 5 points for each question) a) Run a linear-linear model between the GDP per capita/ wage and urbanization rate. Interpret your results. b) Run a log-linear model between the GDP per capita/wage and urbanization rate. Interpret your results c) Let’s turn to the fixed effect model by controlling the province fixed effect, and re-run the above regressions (log-linear model). Please interpret the results d) Let’s control both the province and year fixed effect. Re-run those log-linear regressions and interpret the results. 2. In lecture 2 and 3, we show the AMM model and hedonic pricing for land and housing price. In this exercise, please run log-log regressions between the commercial land price in Shanghai and a number of geographic variables. The data includes about 900 commercial land transactions in Shanghai from 2004-2016. (80 points in total). a) Run log-log regression on the land parcel price and distance of land parcel to city center. Please interpret the results. Do you think Shanghai is a monocentric city? (5 point) b) Now add on more variable in the regression: local_gov (distance of land parcel to district government). Please interpret the results. Do you think Shanghai is a monocentric city or polycentric city? (5 point) c) Add two more variables on land characteristics: LandArea is the size of each parcel, FAR is the density of each parcel. What is the relationship of land price and land characteristics?.(you can to convert LandArea and FAR to log form) (5 points) d) Add three local amenity variables in the regression: Uni (distance to the closest university); HS (distance to the closest high school); Green (distance to the closest parks). Interpret the results on these three variables. (5 point) e) Add three variables on transportation: HSR (distance to closest high-speed rail station); Metro (distance to the closest metro station); HW(distance to the closest highway intersection). Please interpret the results on these three variables. (5 point) f) What could be the concerns on the results in part e)？(5 point) g) Now, add districts and year fixed effect and rerun the regression in part e). Please interpret the results. Compare your results between (a) and (g), how do the coefficients on the distance to Distance to CBD change? Why? (10 point) h) Let’s move to density gradient. Using the log-linear function to examine the relationship between the land density (log FAR) and distance to CBD. What is the result by using log-log function? (10 point) i) Rerun the two regressions in h) by adding district fixed effect and year fixed effect. Please interpret the results. (10 point) j) Let’s move to price gradient. You need to convert the Total_price to Unit_price: gen Unit_price= Total_price*10000/LandArea Using the log-linear function to examine the relationship between the land price (Unit_price) and distance to CBD. What is the result by using log-log function? (10 point) k) Rerun the two regressions in j) by adding district fixed effect and year fixed effect. Please interpret the results. (10 point)
SEMTM0016 Artificial Intelligence for Robotics SEMTM0016 Coursework - Part A The questions below form. one part of the assessment for the unit SEMTM0016. This part of the coursework is worth 30% of the overall unit assessment and is to assess your learning on the materials covering Supervised and Unsupervised Learning. You must submit two items (on Blackboard) for this part: 1. a single PDF .pdf file (named ‘SEMTM0016 PartA.pdf’) that reports your answers to the questions below, and 2. a single .zip file (named ‘SEMTM0016 PartA.zip’) containing all Python .py files. Your report PDF (1) for this part of the assessment must containing everything you wish to be marked for this part of the assessment (including, but not limited to, numerical and textual answers and figures). Material not contained in either (1) or (2) will receive no credit for this part of the assessment. This is an individual coursework and so your submission must be your own individual effort; submis-sions will be checked for possible plagiarism. Collaboration is not permitted. You are not permitted to use AI tools (e.g., ChatGPT) to generate your answers to any question. The University of Bris-tol considers unauthorized use of AI to complete assessments as contract cheating. If cheating or collaboration are detected, as with any assessment, then this will be subject to the University’s rules on academic integrity, please refer to the link below for details: https://www.bristol.ac.uk/students/support/academic-advice/academic-integrity/ Task Overview You are the mighty HeroBot traversing the MazeDungeon where you will encounter many different entitities. The following files will help you in your quest and can be downloaded from Blackboard: • sprites greyscale10 . npz : This dataset is comprised of 13771 10x10 pixel greyscale images of entities within the dungeon. Each entity is labelled with a particular ‘race’ and there are four races in total. • dungeon sensorstats . csv : This dataset gives sensor and stats information about 10,000 example entities within the dungeon. You have three tasks to complete: Q1: Predict the race of the entity given a 10x10 pixel greyscale image. Q2: Predict the bribe amount that a human guard will accept to let you pass using only the four features ‘stench’, ‘sound’, ‘heat’ and ‘intelligence’ in the second dataset. Q3: Group the entities based on physical threat level using their ‘height’, ‘weight’ and ‘strength’. Question 1 - Supervised Classification (15 marks) (1.1) Preparation of the data: Save the file sprites greyscale10. npz locally and use the following commands to import the data within this file: import numpy as np data = np . load (" sprites_greyscale10 .npz ") train_X = data [" train_X "] train_Y = data [" train_Y "] test_X = data [" test_X "] test_Y = data [" test_Y "] (1.2) Extract a subset of (training and test) data that corresponds to only two classes. Make sure that you extract features and labels for the same datapoints. (1.3) (6 marks) Use Decision Trees, KNN and Logistic Regression classifiers from the worksheets to separate the two classes in the image dataset. For each classifier, train (fit) your model on the training set then evaluate its performance on the test set. (1.4) (9 marks) Justify your choice of model hyperparameters (those covered in the worksheets). Note: you are not allowed to use Python’s built-in options for Hyperparameter optimisation, if needed, you should implement it (see worksheets for related examples). Question 2 - Supervised Regression (4 marks) (2.1) Preparation of the data: Save the files dungeon sensorstats train . csv and dungeon sensorstats test . csv locally and use the following commands to import the data within this file: import pandas as pd train_data = pd . read_csv (’ dungeon_sensorstats_train .csv ’) test_data = pd . read_csv (’ dungeon_sensorstats_test .csv ’) (2.2) Extract the subset of the training and test data that (i) corresponds to only the ‘human’ class and (ii) with only four sensor features (intelligence, stench, sound, heat) and the target (bribe). (2.3) (1 mark) Use the features (intelligence, stench, sound and heat) in this extracted subset to build a Linear Regression model for predicting the bribe (target) and outputting the MSE. (2.4) (3 marks) Now choose a single feature among the four features to build a Linear Regression model for predicting the bribe (target) and outputing the MSE. Visualise the data in 2- dimensions and plot your model on this 2D display. Compare the MSE with your findings in (2.3). Question 3 - Unsupervised Clustering (8 marks) (3.1) Preparation of the data: Save the file dungeon sensorstats. csv locally and use the following commands to import the data within this file: import pandas as pd train_data = pd . read_csv (’ dungeon_sensorstats .csv ’) (3.2) Choose two features from height, weight and strength and extract the data corresponding to your chosen features. (3.3) (4 marks) Use KMeans and Gaussian Clustering to separate the entities into k groups in- dicating their physical threat level. Visualise the data in 2-dimensions for each method and show the clusters for optimal k. (3.4) (4 marks) Justify your choice of optimal k for each of the methods and your final optimal k. Report There are 3 marks for overall presentation of the report. Your report should be no longer than six pages, shorter is fine. Use an 11 or 12pt font and do not try tricks like expanding the margin to fit in more text, shorter is better than longer. Your report must be submitted as a pdf and should be prepared either in LaTeX (overleaf is a good approach), MS Word, or a similar text editor to prepare the report and submit it as a pdf document. Your code will not be marked for elegance, but it should run correctly; it is expected you will use Python. Do not include screenshots of graphs, they should be imported directly; resize them to the correct size before importing them, if the labels are tiny the graphs will not be marked. Make sure figure captions are descriptive, it is better to have some overlap between figure captions and the main text than to have figure captions that are not reasonably self-contained. Avoid code snippets in the report unless that feels like the best way to illustrate some subtle aspect of an algorithm; do always though consider a mathematical description if possible. You will be asked to submit your code and it may be tested to make sure it works and matches your report. It will not, however, be marked itself for quality. The teaching assistants (TAs) are unable to answer questions about how to solve an exercise or what methods to use beyond what has been specified in the coursework document. However, if you need help to know more about a method in a certain lab/worksheet in order to solve an exercise, do ask TAs for help about that method.
Assignment Information This assignment is split into two sections. Your assignment is to be presented as a concise report in a Word document or PDF. 10% of the assignment marks are allocated for overall clarity and presentation of the report. Marks will be deducted for handwritten answers and screenshots of equations. In your report, be sure to clearly identify the start of each section and question, and to provide a sub-heading (e.g. Section 1 Question 1“1.1 First Derivative of f(x)”). Each question will be marked separately, so make sure all relevant working and final answers are in that section. 1 Section 1: Numerical Approximations: 40% Consider the function; In this section you are required to compare the exact solution of the first derivative of this function, f′ (x), to the four-point forward, backward and central finite difference stencils given respectively as; where ∆x is the grid spacing, fi = f(xi). The analytic expression for the first derivative of f(x) is; For the written report: 1. Use the Taylor Series expansion to derive the leading order error for the stencils provided. Leave your final solution in terms of ∆x. You will receive marks for showing appropriate working. (Tip: You only need to expand the Taylor series up to the fifth derivative) (15%) 2. Using MATLAB, write a code that computes the first derivative of f(x) using the three stencils over the domain x = [-3, 3] for a variable number of points, n. Create a plot showing the forward, backward and central finite difference stencils compared to the analytic solution for n = 8, 16, 32. Make sure for the analytic solution you use at least n = 1000 points for the plot so that the complete curvature is shown. Comment on any differences you notice between the 3 stencils, and how they change with increasing grid resolution. (Tip: To avoid putting too many curves into one plot for comparison, it might be clearer to present 3 separate plots, one each for n = 8, 16, 32. On each of these plots you would then have 4 curves overlaid.) (10%) 3. Examine the L2-norm of the error ϵ for the numerical approximations by undertaking calcu- lations with n points where n = 2p + 1 for p = 2, 3, 4, .., 8, 9, 10. Create a log-log plot of the L2-norm verses ∆x and discuss the behaviour in light of your result from Question 1 and 2. Which stencil should you choose and why? (10%) 4. Include your Matlab script as an appendix to the report. Marks will be given for clarity of programming and commenting. (5%) 2 Section 2: Wind Turbine Blade Aerodynamics: 50% 2.1 Introduction Figure 1: The Lillgrund Wind Farm (left) consisting of 48 Siemens SWT-2.3-93 2.3MW (right) Donard Wind Turbines Ltd are developing new wind turbine blades. They are considering hiring you for the analysis of the aerodynamic performance of their new turbine blades, but first of all they want to have confidence in your ability to establish a workflow to compute the lift and drag of a turbine blade and understand your expected accuracy against experimental data. For this, they have provided you with a text file containing a 2D airfoil section for the Siemens SWT-2.3-93 2.3MW wind turbine blade section FFA-W3-211. This wind turbine is shown in Figure 1 and is employed in multiple offshore wind farms including the Lillgrund wind farm pictured. Your key tasks are (i) undertake a calculation of the provided airfoil to validate your computational approach, (ii) apply your validated approach to generate performance metrics for the airfoil which will help Donard Wind Turbines Ltd understand your capabilities. 2.2 Assignment Your tasks are: 1. Using your knowledge of CFD, undertake a validation of ANSYS Fluent for the provided airfoil section with Reynolds 1.8 × 106 and Mach 0.15 with freestream T = 288.15K and P = 101, 325Pa. You each have a different angle of attack as specified in the accompanying document‘ClassListAngles.pdf’. In the report [30 marks total]: (a) present the computational grid employed, and concisely articulate your reasons for choice of grid type and spacing. Hint: you may have to reduce the defeaturing size to 1 × 10-4m to prevent the mesher from defeaturing the thin trailing edge. [5 marks] (b) present and discuss your choice of governing models and boundary conditions. [5 marks] (c) detail what steps you have taken to ensure that you are confident that your CFD solution is converged employing quantitative measures of grid convergence. Support your conclusions with appropriate quantitative figures and/or tables of key quantities [10 marks]. (d) compare your converged solution with the available experimental data for CL and CD detailed on page 76 onwards of the provided technical report and plotted in Figures 102 and 103. Comment on the quality of the agreement and discuss possible reasons for any discrepancies. [5 marks] (e) present a contour flood showing the variation of static pressure around the airfoil and variation of velocity. Briefly discuss the results. [5 marks] 2. Based on the now validated approach, extend your analysis to examine the flow around the airfoil the same Reynolds number but at a Mach number and angle of incidence of your choice, with freestream T = 288.15K and P = 101, 325Pa. The Mach number should be greater than 0.4 but I suggest less than 5 (although if you’d like to try higher please do so just make sure you can address the items below). The angle of incidence should be ≤ 20。 if you are running at low Mach to enable some comparison with experimental data. [20 marks total]: (a) calculate the new inflow conditions, and describe clearly the calculation resulting in the new viscosity you must use to ensure that the Reynolds number does not change from the previous case. [5 marks] (b) detail any differences in the computational approach (grids, models, solution methods) compared with your previous calculation and demonstrate grid convergence [5 marks] (c) calculate CL and CD for this new Mach number and/or angle and compare them to the original case, discussing any differences and the possible reason for those. [5 marks] (d) present and discuss the static pressure and velocity fields highlighting differences with the original case. [5 marks] 3 Presentation: 10% 10 marks are allocated to the structure of the report, correct spelling and grammar, fluency of sentences, presentation of equations, clarity of figures and captions, axes and labels, quality of contour floods and any legends included. 3.1 Report and Hand-in Write a report summarising your findings in a PDF. Structure your report such that each sub- question is a separate chapter. The report should not exceed 2500 words, any additional words will not be marked. The code in the appendix is not included in the 2500 words. It can contain any number of figures, but figures and tables in the report must be numbered and discussed. An electronic copy of the report should be submitted to Canvas by midnight on the 8th April 2025. This assignment should take the average student 20 hours to complete.
COMM5007 Coding for Business Individual Assignment T1 2025 This assignment covers Lecture 1 to 4. It accounts for 10% of the final grade for COMM5007 Coding for Business. The deadline is W5 Friday, 21 March 2025, @11:59pm. Do not wait till last minute. Late submissions (even by a few seconds) will still incur penalty. You are to submit a WORD document (not PDF) to Moodle, Individual Assignment > Individual Assignment Submission. Turnitin is turned on to check similarity score among all submissions. To avoid a high Turnitin score, do NOT copy the assignment questions into the report. Every page’s header should contain Subject Code “COMM5007”, Title “Individual Assignment”, Your zID, similar to the Individual Assignment guideline file. Do NOT write your name. A cover page is optional. Please use "Your zID" for Submission Title when you upload. The file name should also be “Your zID.docx”. Submissions that do not adhere to this will be penalized. Details of report format: Length: should not exceed 3 pages, including the relevant graphs, tables, references, screenshots, and appendices (if any), but excluding the cover page (a cover page is optional). Font Style. Times New Roman for writing; Courier New for code Font size: 12 for writing; 10 for code Line spacing: 1 Margins: 1 inch or 2.5cm for the top, bottom, right and left Include the page number on each page Up to 25 marks of penalties will be imposed for inappropriate or poor paraphrasing. Serious cases will be investigated. More information on effective paraphrasing strategies can be found on https://www.student.unsw.edu.au/paraphrasing- summarising-and-quoting. Your writing should be succinct but not at the expense of excluding relevant details. Use plain and simple language. Some questions may not come with absolutely right or wrong answers, and you have the liberty to express your views about the problem. However, your points must be supported by evidence and sound reasoning. It is the quality and not the length that counts. Make sure you follow the report guidelines and style. specified in this assignment. Where students use ChatGPT or any Generative AI tool in their work, this must be appropriately cited according to discipline norms, e.g., right below the written paragraph that used Generative AI, or included in appendix. Most referencing formats have now released approaches to referencing Generative AI, e.g., https://apastyle.apa.org/blog/how-to-cite-chatgpt. The answers should be presented in order according to the sequence of the questions listed in the assignment; that is, in the order of Q1, Q2,..., etc. You can have several sub-sections within a section if you deem appropriate. The report must be self-contained. It is essential to include all relevant tables and figures as evidence to support your answers. Suggestions: • Write clearly in plain English • Write appropriately to the context • Cite appropriate sources • Provide a reference or bibliography at the end of the main report • Include less relevant details in the Appendix • Good overall presentation of the report Write Python code that generates a heart (e.g., a filled heart shown above) using loops and print statements. The program should use a variable n to control the size of the shape, meaning if n is 10, the heart should be smaller, and if n is 20, it should be larger. • You may use characters such as *, #, or any other symbols to represent the shape. • Ensure that the output dynamically adjusts based on the value of n. • Feel free to be creative and design a heart that brings happiness to you. Question 1: First, use ChatGPT to generate an initial version of the code. Then, refine it using your own knowledge. Next, have ChatGPT improve your revised version, and continue iterating—modifying ChatGPT’s updates and seeking further refinements— until you reach a satisfactory result. Document each improvement step by step in the format below, covering multiple iterations as needed. (20 marks) My prompt: Describe the pattern that we want ChatGPT to generate. ChatGPT’s response: Certainly! You can use below code … Paste all code in a shaded text box like this Font: size 10, Courier New Break one long line of code into multiple lines with “ ”, if necessary, e.g., the below is considered one line of code by Python. print(3,4,5, 6,7,True) My reflection: This can be what is still not right. Or what manual change can be done to ChatGPT’s code directly, based on your understanding as a human coder. Write your thoughts and analysis here. My prompt: Describe what ChatGPTshall correct to reach the exact pattern based on your previous reflection. This prompt can include the code that we modified manually and want ChatGPT to continue to improve. Your modified code for ChatGPT to continue to improve ChatGPT’s response: … My reflection: … My prompt: … Question 2: Write a Python program to generate the shape, which has been generated in Question 1. Regardless of whether you used AI tools or not, you must explain each line of code in your own words by adding comments under each line. The clarity and depth of your explanations will determine your score. (10 marks) What is assessed in Questions: - The quality of the final code - The comments in the final code - The thought process to analyze the code as a human coder, which demonstrates students’ technical ability. This thought process is reflected in your prompts for ChatGPT and your reflections as a human coder - The quality of writing in the prompts and reflections (clear language, structure) - The thought process to analyze the code as a human coder, which demonstrates students’ technical ability. This thought process is reflected in your prompts for ChatGPT and your reflections as a human coder - The quality of writing in the prompts and reflections (clear language, structure)
Course/Programme: MSc International Business and Management (IBM) Level: 7 Module Title: Innovative Entrepreneurial Society: New Business Models (IES) Assignment title: Research-based Essay Assignment number: 1 Weighting: 100% of overall module grade Date given out: 16 January 2025 Submission date: 10 April 2025 Eligible for late submission (3 calendar days, with penalty)? Yes Method of submission: X Online only Online and paper copy Special instructions for submission (if any): The completed assignment is to be submitted to the UoS Brightspace only Date for results and feedback: 9 May 2025 Learning outcomes assessed: On successful completion of this module, the student will be able to: • Demonstrate a critical understanding of contemporary issues in entrepreneurship theory and practice. • Demonstrate knowledge of the significance of new sources of innovation and creativity. • Make basic assessments about the value of innovation in a social context. • Effectively communicate the importance of digitalization to enterprise and innovation using social enterprise principles. Learning outcome(s) assessed by this assignment: All learning outcomes were assessed. At the postgraduate level, you are expected to: • show evidence of assignment planning • have a high standard of presentation, structure, layout, and design • demonstrate appropriate coverage, critical appreciation, and evaluation of relevant literature • demonstrate a critical understanding of key concepts and the application of theory to practical solutions • show evidence of originality of thought and approach and creative problem-solving ability The mark awarded for this piece of work remains provisional until ratified by the Assessment Board. Assignment Brief: The fashion industry has significantly contributed to environmental challenges, accounting for 8-10% of global greenhouse gas emissions. This pressing issue demands innovative and sustainable solutions to address throughout the entire fashion supply chain—from production and distribution to consumption and disposal. This assessment invites you to embark on a transformative journey as a Social Entrepreneur dedicated to mitigating the environmental impact of the fashion industry. Your focus extends beyond traditional methods, empowering you to develop strategies that minimise emissions and promote sustainability while enhancing social equity within the fashion ecosystem. Country Selection: Choose a country of your choice that is facing significant challenges related to the environmental impact of the fashion industry. Envision starting a new not-for-profit social enterprise aimed at devising intelligent solutions for one of the various stages of the fashion supply chain mentioned. Design Thinking Approach: Utilise Design Thinking principles to craft creative and impactful solutions. This involves empathising with the needs of the target audience, defining the problem, ideating potential solutions, prototyping, and testing those solutions, and finally, implementing the most viable and effective approach. Business Model Development: Leverage Osterwalder's Business Model Canvas to structure your social enterprise's business model. This structure encompasses various aspects, including: Introduction: Provide some background information about your social enterprise. The key problem being addressed and why it is an issue worth pursuing. State your position and provide details of the most important points you are going to make which support your social enterprise. Customer Segments: Identify the key stakeholders and beneficiaries of your solutions, ranging from businesses, communities, governments, and non-governmental organisations. Value Propositions: Articulate the unique value your social enterprise offers to address the challenges. This could involve innovative technologies, services, knowledge-sharing platforms, and more. Channels: Determine how your solutions will be delivered to your identified customer segments. This could include online platforms, partnerships, workshops, and direct outreach. Customer Relationships: Define the type of interactions and relationships you will establish with your customers. This might involve continuous engagement, feedback loops, and collaboration. Revenue Streams: Explore sustainable funding sources for your not-for-profit social enterprise. This could encompass grants, donations, partnerships, or fee-based services (3- year projection). Key Resources: Outline the essential resources needed for your enterprise to function effectively. This includes human capital, technology, infrastructure, and knowledge assets. Key Activities: Detail your social enterprise's core activities to develop, deliver, and maintain your solutions. Key Partners: Identify potential partners, collaborators, and stakeholders who can contribute expertise, resources, or reach to enhance the impact of your solutions. Cost Structure: Break down the anticipated costs associated with running your social enterprise. This includes operational expenses, staffing, technology, marketing, and more (3- year estimation). Conclusion: Your report should present a comprehensive overview of how your social enterprise will operate, the positive impact it will have on the challenges, and how it plans to achieve financial sustainability while prioritising the solutions to the key problem. Important Note: This is a practice-based assessment. Marks will be awarded based on the extent to which you address the assessment brief, provide thorough market research, and present specific numerical data and figures. The focus is delivering actionable recommendations for a real- world, business-simulated company, not outlining theoretical concepts. You must substantiate your recommendations with clear evidence and logical justifications. Simply presenting ideas without data and analysis will not suffice. Format - further guidance: • Assignment Cover Sheet o Module Name o Assessment Title o Word Count o Student ID number • You will include a correctly formatted reference list and in-text citations using UoS Harvard referencing format. Refer to http://libguides.uos.ac.uk/friendly.php?s=academicskills/referencing . • Your work should be presented in a report format, using headings, and including a content page and page numbers. • Please choose a clear font (either Arial or Times New Roman) using size 12. • Please ensure your work is 1.5 spacing. • Your total word limit is approximately 3,500 words (+/-10%). Employability Skills On successful completion of this module, a student will have had opportunities to demonstrate their employability skills acquired on the course through reading, selecting, and analysing information from a range of sources, through producing different kinds of documents required for this module, and through preparing and disseminating critical information. Assessment Criteria (part 1/2): The assessment guidelines below offer guidance on marking criteria and outline expectations in this module regarding word limit, presentation time, referencing, and consequences for non- compliance. Submissions exceeding the word count by more than 10% will be penalized. Presentations exceeding the allotted time will lose marks. Claims without proper in-text citations and referencing will result in automatic failure. Review guidelines carefully and consult library referencing guidance to avoid penalties. Referencing: Ensure that all submissions are appropriately referenced and adhere to academic integrity guidelines. All claims and facts in your academic submission must be supported by references in Harvard style. Any work submitted without in-text citations and a reference list will result in an automatic refer. Simply listing references at the end without using them as in-text citations throughout your work will also result in a refer. Refer to library guidance on the proper use of in-text citations and referencing. http://libguides.uos.ac.uk/friendly.php?s=academicskills/referencing Wordcount: Written submissions within (+/- 10%) of the stated word limit will not be penalized. Submissions exceeding the word count by more than 10% will be penalized by deducting 10% from the overall marks. Any content exceeding the maximum word count by over 10% will neither be read nor contribute toward assignment marks. Word count excludes references and executive summary. Presentation Length: Presentations must be within the allotted time. Presentations will be stopped at the end of the allotted time. 5% will be deducted from the total marks for presentations which go over the allotted presentation time. Using AI: On this module, you may use AI appropriately in your assessments, such as Grammarly for grammar corrections or ChatGPT for generating ideas. However, AI should not be used to generate the final text—whether written, verbal, or in video format— submitted for assessment. All work must be expressed in your own words, developed and constructed by you. If there are concerns about inappropriate AI use, you may be required to have a conversation with your module leader(s) to discuss your approach to the assessment.
