CPT109 C Programming and Software Engineering 1 - Group Project Assessment Number 3 (group project) Contribution to Overall Marks 15% Issue Date 21st October 2024 Submission Deadline 15th December 2024, 23:59 Assessment Objective This assessment aims to evaluate students’ ability to develop a significant software solution to a real- world problem by working as a member of a team. Your team will be given a vague specification and is expected to deliver a software product using C programming language, which meets the specifications before the due date. This size and type of project is suitable for development in a modular format, and so teams are encouraged to devise program structures that allow various parts of the code to be developed independently by each team member. Being a team player means you are expected not only to apply the knowledge gained during the lectures, laboratory classes, and assignments to specify, design, implement, test, and document your own code, but also to cooperate with your teammates so that the whole project will be delivered on time with good quality. Grouping There are 404 students enrolled in this module, and you will be divided into groups consisting of 5 students. Groups will be formed in two stages as follows: Firstly, students will be given the option to choose their own group members. Students failing to form. a group will then be randomly assigned to a group. Randomly formed groups will contain students with a range of abilities based on their performance in previous assignments. Each group will then develop a Planet Catalogue System following the attached specification using C programming language (C90). Final Deliverables Each group should submit the following (only 1 submission per group): 1. A report (PDF file), based on the Software Development Process applied throughout this semester: a) Problem Statement (Specification: formulate the problem generally) (10%). b) Analysis: interpret the vague software requirements provided by your design brief and determine a very clear specification for your software design. (10%) c) Design: explain how your program is structured in terms of functional blocks and describe what each block does. A flow diagram maybe useful here showing how functions interconnect and what data is passed between them. (10%) d) Testing: explain how the program has been tested and verified. Ensure any usernames or passwords required to test the program are listed in a table. (10%) 2. All C source code (.c and .h files) and the final executable demonstration file (.exe). The source code must be appropriately commented. Include any data files needed for execution. (50%) 3. Contribution form. (The contribution form. is part ofthe Assessment 3 download package). The group should agree on the percentage of contribution of each member to each section and submit one copy of the form signed by all members. NOTE: Different individual contributions to the project may lead to different marks for different members of the same group. The module leader may call group members for a short oral test if necessary. Submission Procedure All the above-mentioned files/deliverables (report, source code (.c and .h) files, data files, executable, manual, contribution form, must be compressed into a single file (.rar or .zip). The group leader (identified on the group formation form) must submit this single compressed file on Learning Mall using his/her account. NOTE: Each group should only submit ONE copy on Learning Mall by the group leader. Make sure your report has a title page and ensure ALL group members ’ names and ID numbers are on it. Marking Scheme The general marking scheme is shown as follows: Documentation (50%) Overall Report Quality 10% Problem Specification 10% Analysis 10% Algorithm Design 10% Testing 10% Coding (50%) Implementation/coding style 40% Robustness 10% Important notes: University late submission policy will be applied. University Academic Integrity policy will be applied rigorously. You can find information relating to both of these in ebridge. General Guidelines The project descriptions are deliberately given in the form of simple customer specifications, which (as in the real world) are incomplete and often ambiguous, rather than a set of exact functional specifications. The group members should work methodically together (as the developers in a real world software project would) to: 1. Analyse and formalise the customer specifications (at this stage, the various design choices and the software features can be subject to the group’s creativity). 2. Design and decompose the functional and programmatic aspects of the problem and allocate constituent tasks to each group member. You are expected to use a top-down design which can then be modularised so that the tasks for each member can be clearly determined. 3. Implement the product with frequent meetings to report progress and decisions to each other and re-evaluate the agreed courses of action. 4. Implement test procedures, debug and correct the program. Each program module should be independently testable. Testing of each module and the program as a whole should be performed. 5. Finalise the deliverables. The specifications are only basic, and most of the design choices should be made during your group meetings. The disambiguation of the customer specifications can be based on the student’slogic and real life experience. Assessment will be based on whether the product/program offers reasonable functionality and features (for the group size, allocated time, and project difficulty), its design quality, flexibility, robustness, software bugs, and other stated deliverables. If the group cannot implement all of the system features mentioned, it is better to have a few features fully working without run-time crashes than none of the required features working properly due to bugs or disrupting ripple effects between modules in the project. However, the corresponding marks deduction will be applied depending on the missing features. If any group issues arise during the project, it is important to raise these with the module leader as soon as they do so that resolutions can be found quickly. It is important to work with your group, and to share the work accordingly. All group members should be responsible for some of the coding. Individuals may not produce your own work for submission independent of the group. Planet Catalogue System Project Specification Overall Description: Your team has been hired by a group of researchers to develop a software system to catalogue planets within the universe. The main requirements from the researchers include: Customer Specifications: The implemented software should have the following capabilities: • Manage Planet Information: Handle different attributes of planets such as name, type, size, distance from their star, and any other relevant data. • Manage Researcher Accounts: Each researcher should have a unique account number. • Search and Retrieval: Allow researchers to search for planets by name, type, or other attributes. Enable researchers to view detailed information about each planet. • Statistics and Reporting: Provide statistics such as the number of planets catalogued, the number of discovered planets, and the number of planets observed. System Users: The system should cater to the following user functionalities: • Admin: • Manage Planet Information: – Add, edit, or remove planets from the catalogue. – Set or modify planet attributes and theirrespective details. • View Statistics: – Number of planets catalogued. – Number of discovered planets. – Number of planets observed. • Manage Researcher Accounts: – Add, edit, or remove researcher accounts. – View researcher activity and contributions. • Researchers: • Planet Search and Retrieval: – Search for planets by name, type, or other attributes. – View detailed information about each planet. • Account Management: – Register for a new account. – Edit personal account details. – View past contributions and activities.
CO 372: Portfolio Optimization Models Fall 2024 Problem Set 6 Handed out: 2024-11-20. Due: Fri, 2024-11-29, 4pm EST, on Crowdmark. Papers must be handed in on-line using the labeled dropbox on Crowdmark. The Crowdmark link will be sent out on the same day this is posted. Each question is handed in as a separate upload. You can either prepare your solutions electronically using, e.g., LaTeX, or else you can hand-write them and submit a scan. In the latter case, please take care that the scan is of good quality with a white background. Your papers may be handed in up to 24 hours late, in which case there is a 10% late penalty. Please use the late-paper dropbox on Crowdmark if you are handing in a late paper. You may hand in some questions on time and others late. In this case, use the on-time dropbox for the on-time questions and the late dropbox for the late questions. However, you may not split the parts of a question (i.e., (a), (b), etc.) between the two dropboxes. Collaboration policy. This problem set is a solo effort. Students are allowed to discuss question with each other in general terms including helping each other on Piazza. However, no student should share an entire solution to a question, nor should any student hand in work that entirely represents someone else’s effort. 1. Consider finding the portfolio to minimize 0.9-CVaR as measured from historical data subject to a wealth constraint, a return constraint, and a no-short-sale constraint: minx,α F0.9 (x,α) s.t. eT x = 1, r(¯)Tx ≥ rp , x ≥ 0. Recall from lecture: Here, r1 , . . . , rM denote M historical returns, each assumed to be equally likely. Also, rp as usual denotes the investor’s required return. Finally, recall from lecture that [s]+ stands for max(s,0). Introduce variables t1 , . . . , tM so that the jth term in the summation can be upper- bounded by tj . Then rewrite the problem with these new variables and with a dif- ferentiable objective function and constraints. Explain why the rewritten program is actually linear programming. 2. Suppose the return r of a security follows a discrete probability distribution: r takes on values r1 < r2 < ··· < rN with probabilities p1 , . . . , pN . Here, p1 + ··· + pN = 1 and each pi > 0. Select a particular k ∈ {2,..., N}. Consider subtracting a small number θ > 0 from pk while simultaneously adding θ from p1 (so that the pi’s are still positive and still add to 1). Recall the definition of β-VaR of this distribution: it is 1 − rk , where k is such that Σk pi ≥ β while Σk+1pi < β . Recall the definition of β-CVaR of this distribution: for the same k as in the previous sentence, define, and the β-CVaR is 1 − rtail. (a) Write down an example of this set-up with N = 3 and k = 3 so that the perturbation θ described above causes a discontinuous jump in the β-VaR for an arbitrarily small θ > 0 (because k changes). (b) Show that for your small example in (a), the β-CVaR varies continuously with θ (for small θ > 0). For both (b) and (c), the value of rtail is a function of θ (including the unperturbed problem with θ = 0). For ease of marking, please use the notation rt(a(θ)i)l to denote the value of rtail for a particular choice of θ . (c) Show that the result in (b) is true in general. That is, show that if pk +···+pN = β (so that k jumps under perturbations pk → pk − θ , p1 → p1 + θ for θ > 0), then the β-CVaR is nonetheless continuous with respect to θ ≥ 0. Note: since part (c) generalizes part (b), you will get full credit for this question if (a) and (c) are correctly answered and (b) is skipped. On the other hand, if you are more confident in your solution to (b) than to (c), then it is safer to submit (b) as well. 3. Suppose τ and x are two scalar variables in a portfolio optimization problem, where τ stands for a transaction cost and x stands for an invested amount. Suppose that one has the constraint τ ≥ ϕ(x), where (a) Make a sketch of ϕ . You can either draw it by hand or use graphing software (like Matlab) or a graphing website. You will note from your sketch that ϕ is piecewise linear, continuous, and nonconvex. (This function ϕ is a model of transaction costs where there is a large per-unit expense for short selling, a smaller per-unit expense for ordinary purchasing, and a volume discount.) (b) Provide a formula of the form ϕ(x) = max(· , min(· , ·)) that is equivalent to the above formula; each ‘·’ symbol stands for one of the three expressions appearing in the definition of ϕ . (c) Using the min and max techniques described in lecture, introducing more variables as needed, rewrite the constraint τ ≥ ϕ(x) as an equivalent sequence of differentiable constraints, and explain how you arrived at your formula. 4. Consider the problem of minimizing xTHx/2 − tr(¯)Tx + tτ, where τ is a transaction cost for security 1 and t > 0 is the usual Pr3 parameter. Assume there is a wealth constraint, eT x = γ, where γ > 0 is the total budget; a no-short-sell constraint x ≥ 0; and a nonconvex piecewise linear transaction cost as written in lecture: τ ≥ 0.02α1 x1 + α2 (0.01x1 + 1000), α 1 + α2 = 1, α 1 ≥ 0, α2 ≥ 0. (a) Eliminate the variable τ from the problem by inserting the expression on the RHS of the τ constraint into the objective function in place of τ . The problem variables are now x,α1 ,α2 . (b) Show that the two new terms in the objective function introduced in part (a) can be written as a quadratic in standard form. Here, G is a 3 × 3 symmetric matrix, h is a 3-vector, and d is a scalar; you should provide formulas for G, h, and d as part of your solution. Note: t > 0 is a constant. (c) Argue that the matrix G derived in part (b) is not positive semidefinite. Suggested approach. The matrix G you found should have 0’s on the diagonal and nonzero entries in the nondiagonal entries of the first row. Use this structure to find a particular vector x ∈ R3 whose first two entries are nonzero such that xT Gx < 0. 5. Consider the following portfolio optimization problem in a universe with two securities: min − r(¯)Tx + τ(x1 ) s.t. x1 + x2 = b, x1 ≥ 0, x2 ≥ 0. Take r(¯) = [1.10;1.05]. This question does not model risk, so it is assumed that both securities have very low risk. Function τ is the transaction cost for x1 : This cost is nonconvex because it models a volume discount. Security 2 has no trans- action cost. (a) Consider the two investment strategies: (i) entire portfolio in security 1, and (ii) entire portfolio in security 2. There is a particular value of b, say b(¯), such that for b > b(¯), strategy (i) is preferred, while for b
BMAN31881 ESSAY IN ECONOMIC ANALYSIS II Due date: 8th / January / 2025. Word limit: Strictly 2000 words +10% ESSAY TOPIC I Mega Firms A major topic in recent economic literature is the emergence of mega firms - companies that operate in multiple markets, have large market shares around the world, wield enormous market power, and invest heavily in R&D, new technologies, brands, and marketing. In this assignment, you are tasked with writing an essay to: 1. Explore the academic economic literature to characterise mega firms and document key stylized facts about mega firms. 2. Develop a conceptual framework (theory) to explain the rise of mega firms. The framework should: a) Explain why a firm's quality at birth (in its early years) can shape its future performance and affect its chance of achieving star status. b) Discuss how static and dynamic scale economies due to technology, global competition, network effects and R&D costs can amplify the effects of a firm's initial success and growth and thereby enable the firm to gain market and grow. c) Explain the role of various winner-take-most mechanisms that are responsible for the rise of mega firms and highlight the interplay between demand-side (e.g. brands) and supply-side (e.g., R&D) factors in driving these mechanisms. 3. Examine the impact of mega-firms on small and medium firms. How may the rise of mega-firms affect the chances of new firms and small firms to grow and survive? How may small firms scale up and compete with dominant firms? You must draw on relevant economic concepts and theories to provide a systematic analysis. Failure to use relevant theories can lead to a low mark. It is important to inform your analysis by referring to relevant data and support it using peer-reviewed economic journals. Several notes and papers will be placed on the course webpage to guide you through your research and help you with the emerging literature on mega firms. One note will specify the marking guidelines in detail. Follow the guidelines to carefully organise the assignment.
TRP 216 Urban analytics Level 2 Assessment 1 brief: Data visualisation exercise (Individual: 25%) Introduction This assessment aims to enhance your data analysis and presentation skills, setting the foundation for mapping tasks in Assessment 2. While this assignment primarily focuses on accessing data and core data analysis and presentation elements, it aims to provide you with a meaningful understanding of data-driven decision-making processes. For this assessment, you will engage in a comprehensive analysis of a chosen Local Authority's profile using data obtained from NOMIS. This assessment is aimed at developing your data literacy skills. The principal output you are working towards is the production of a commentary containing a series of data presentation methods and associated commentary. Objectives This assessment is designed to develop and test, in particular, your achievement of the following module objectives: · Objective 1: Retrieve data from public sources for use in social science · Objective 3: Describe and summarise secondary data using descriptive statistics · Objective 5: Visualise and critically interpret secondary data The Task Your task is to create a written summary comparing the composition of the Middle Super Output Areas of a chosen Local Authority to that of Sheffield. This analysis should leverage data analysis and visualisation techniques acquired through workshops 1 and 2. Your report should be centred around one of the following census tables: · TS061 Method of travel to work, · TS030 Religion, OR · TS054 Tenure. Your report should provide a comparison between Sheffield and a Local Authority chosen from the list below: · Leeds · Nottingham · Bradford · York For your chosen variable, you should present a written summary of the profile for your chosen Local Authority, illustrated with a combination of Tables and Charts using summary statistics where necessary (you are not expected to create maps for this assessment). Part of your assignment is to sift through the data to identify meaningful ways to summarise and present it. This means that you may decide to exclude - or group - some aspects of the data. Your data should be sourced from NOMIS following the instructions in workshop 1 but note that you will need to choose the appropriate Topic Summary table. This means that the options you need to follow in the step-by-step guidance will be slightly different from the workshop. Remember to look at the metadata for the relevant Topic Summary, this contains important information on how to interpret your variable. Key Components: Your report should encompass the following key components: · A written summary of your chosen Local Authority's profile. · Effective utilization of Tables and Charts, including summary statistics where applicable, to illustrate your findings. · A thoughtful consideration of associated metadata. · Critical commentary on the interpretation of your analysis. · A brief exploration of the implications of your results within a planning context. Your analysis should be insightful and reflective of your data interpretation skills, including the key steps such as data selection, data preparation and exploration, data analysis and visualisation, interpretation and commentary, and report presentation with clarity and professionalism. Some guidance is given below: Assignment Information Explanation “written report” This means that your report should be handed in as a document written on a computer. It can be helpful to divide it into sections with sub-headings (e.g. Introduction, Conclusion). “500 word” The report should be 500 words (+/- 10%). The range is therefore 450 to 550 words. If it’s shorter than this, you will have to say a little more. If it’s longer than this, you’ll have to cut it down. Font size, type, etc. You can use any font you like, so long as it is easy to read and a minimum of size 12. Paper size You submit your work electronically but try to use A4 portrait size as a standard setting. Use of images and charts In academic work, images include charts, maps and photos. They should be labelled as a Figure and should be numbered consecutively (e.g. Figure 1, Figure 2, Figure 3) and referred to in the text. You should give the figure a caption that gives some indication of the content and acknowledges the source (this is very important). Use of tables The use of tables can also be effective. If you use a table, make sure it is referred to in the text and labelled correctly (e.g. Table 1, Table 2, Table 3). You should give the table a caption that gives some indication of the content. As with images, always acknowledge the data source within the caption.
Second Assessment – Laravel Project Title: Coursework 02 (CW02) – Laravel Project Deadlines: • Written Laravel Progress Report: 23:55 PM, Sunday 8th December 2024 • Demo Presentation: Any day between the 9th to 13th December 2024 Assignment Overview Your task is to develop a Laravel web application and host it on a public web server. This ties into the module’s AWS Ubuntu LAMP setup. Your application must be accessible for a live demo, though it doesn’t need to run 24/7. Ensure it is available during your scheduled presentation. You are free to choose the theme and content of your web application, but it must be approved by your lecturer to ensure it meets the complexity requirements for an Honours-level project. Coursework Components 1) Written Laravel Progress Report You must submit a progress report detailing your work on the Laravel project. The report should document your development journey, including screenshots of your work in progress. Record any challenges you faced and how you resolved them. This report must focus solely on your Laravel work, highlighting your technical achievements. Do not leave this until the last minute; keep it updated as you work. It is your responsibility to ensure the report reflects all important milestones, as this will be used for assessment. 2) Demo Presentation You must prove your work during a demo presentation that will be conducted in person, one-on- one with your teacher. During the demo, you will be required to showcase the functionality of your project and demonstrate your technical knowledge. Be prepared to answer questions about your source code and its implementation. Marking Criteria Content (up to 30%): Based on the Laravel Progress Report. Technical Aspects (up to 30%): Assessed during the demo/presentation. These components together contribute to 60% of the overall module marks. Submission Instructions • A detailed guidance session will be provided in a future lecture, after more Laravel material has been covered. • Your Laravel project source code must be available on GitHub prior to the demo presentation. You can either: o Make your GitHub repository public, or o Keep your repository private but ensure you grant me the necessary access to review your source code. Format of Submission: 1) Written Laravel Progress Report: Submit your report via Aula. It should follow A4 formatting and be in Word format. Include your name, Banner ID, the URL of your Laravel project, and any necessary usernames/passwords for accessing or assessing your work (including for phpMyAdmin and MySQL database access). Refer to the coursework template provided on Aula for further details. 2) Demo Presentation: The demo presentation will be in person one-to-one. For the demo, host your Laravel project securely, possibly behind HTTP authentication (Distributed Access Control may be required). Be mindful of security to prevent misuse. Regular backups are your responsibility.
CSC343, Fall 2024 Assignment 3 Due: Wednesday, November 27 by 4:00pm IMPORTANT: A summary of key clarifications for this assignment will be provided in an FAQ on Piazza if needed. Check it regularly for updates. Both the FAQ and any Quercus announcements are required reading. Learning Goals By the end of this assignment you should be able to: • identify tradeoffs that must be made when designing a schema in the relational model, and make reasonable choices, • express a schema in SQL’s Data Definition Language, • identify limitations to the constraints that can be expressed using the DDL, • identify and document constraints that would require assertions or triggers to implement (but you will NOT write any assertions or triggers in this assignment), • appreciate scenarios where the rigidity of the relational model may force an awkward design, • generate example data to populate the schema you design, • formally reason about functional dependencies, and • apply functional dependency theory to database design. This assignment is more open-ended that the other two assignments in the course. This is on purpose. We will be looking for you to follow the guiding principles below, but there is no one “right” answer we are looking for. Part 1: Informal Relational Design In class, we are in the middle of learning about functional dependencies and how they are used to design relational schemas in a principled fashion. After that, we will learn how to use Entity-Relationship diagrams to model a domain and come up with a draft schema which can be normalized according to those principles. By the end of term you will be ready to put all of this together, but in the meantime, it is instructive to go through the process of designing a schema informally. We expect that what you are learning in class helps inform. your decisions in this assignment, but we do not expect that your schema is normalized in the ways we discuss in lecture. Instead, you should aim to make good design decisions, informed by what we are learning in class, and you should document the choices you are making and why. The domain You are working on a proof-of-concept version of a database to track information about airports and the flights and passengers that travel through them. Below is the information that this database needs to be able to store. There is much more to be added later, but this is not your responsibility. • Airports have names and locations. • Airlines operate flights that fly on routes between two airports. Each flight must be assigned a plane and a certain number of flight crew. • Planes cannot be on two flights at the sametime, and require at least an hour between flights. A plane cannot have a flight that departs from a different airport than where it last arrived (unless it is its first flight). • Flight crew cannot work more than 14 hours of each 24 hour period. Flight crew must be certified on the type of plane for each flight they are assigned to. • Passengers travel on flights, and must have a ticket issued to them for each flight they take. A group of passengers can travel together on the same booking, but they must all have their own ticket. Passengers can have an assigned seat or travel standby, where they have a ticket for a route but not a particular flight. Seats can only be assigned to a maximum of one passenger per flight. Passengers under the age of 12 must travel with at least one other passenger age 18 years or older on that booking. • If a flight route is between two different countries, passengers must have a valid visa that allows them to enter that country, unless they are a citizen of that country. Passengers can purchase a ticket without showing proof of a valid visa, but they cannot board a flight until the airline has confirmed proof of valid visa. • Passengers can travel with checked luggage, with a maximum of two pieces of luggage with a combined weight of 50kg per flight. “Elite” status passengers can have a maximum of four pieces of luggage with a combined weight of 100kg per flight. • Passengers board and deplane from flights at gates. Each gate must be staffed by a ground crew employee of the airline for departures, but this is optional for arrivals. Only one plane can be at a gate at a time. Planes arrive at a gate at least 30 minutes before a departure and remain there for at least 30 minutes after an arrival. If the same plane is carrying two flights that end/begin within 2 hours of each other, then it should arrive at/depart from the same gate for those flights. • Passengers can board flights by zone, based which is recorded as part of their ticket. Passengers with “elite” sta- tus board first, passengers travelling on a booking with children under 6 board second, and standby passengers board last. Everyone else boards between the second group and the standby group. Some features above are not realistic, but they simplify your assignment. (For example, we assume all flights happen as scheduled and on-time.) If we have not constrained something, assume it is unconstrained. For example, if we said houses have windows but didn’t constrain it further, you should be prepared that a house may have no windows, 1 window, or many windows. Define a schema Your first task is to construct a relational schema for our domain, expressed in DDL. Write your schema in a file called schema.ddl. As you know, there are many possible schemas that satisfy the description above. There is no single right answer we are looking for. Instead, we are looking to see how the schema you choose deals with the principles below. We aren’t following a formal design process for Part 1, so instead follow as many of these general principles as you can when choosing among options: 1. Avoid redundancy. 2. Avoid designing your schema in such a way that there are attributes that can be NULL. 3. If a constraint given above in the domain description can be expressed without using assertions or triggers, then it should be enforced by your schema, unless you can articulate a good reason not to do so. 4. There may be additional constraints that make sense but were not specified in the domain description. You get to decide on whether to enforce any of these in your DDL. You may find there is tension between some of these principles. Where that occurs, prioritize in the order shown above. Use your judgment to make any other decisions. Additional requirements: • Define appropriate constraints, i.e., – Define a primary key for every table. – Use UNIQUE if appropriate to further constrain the data. – Define foreign keys as appropriate. – For each column, add a NOT NULL constraint unless there is a good reason not to. • All constraints associated with a table must be defined either in the table definition itself, or immediately after it. • To facilitate repeated importing of the schema as you correct and revise it, begin your DDL file with our standard three lines: DROP SCHEMA IF EXISTS A3Airport CASCADE; CREATE SCHEMA A3Airport; SET SEARCH_PATH TO A3Airport; You may create IDs, or define additional columns if you feel this is appropriate. Use your best judgment. There may be things we didn’t specify that you would like to know. In a real design scenario, you would ask your client or domain experts. For this assignment, make reasonable assumptions. Keep track of these in writing, as we will ask you to articulate them at the top of your DDL file. Document your choices and assumptions At the top of your DDL file, include a comment that answers these questions: Could not: What constraints from the domain specification could not be enforced without assertions or triggers, if any? (Again, you are not writing any assertions or triggers on this assignment.) Did not: What constraints from the domain specification could have been enforced without assertions or triggers, but were not enforced, if any? Why not? Extra constraints: What additional constraints that we didn’t mention did you enforce, if any? Assumptions: What assumptions did you make? Instance and queries Once you have defined your schema, create a file called data .sql that inserts data into your database with the schema you designed above. This file should insert the data necessary to have the queries described below produce results as described. You will also need to insert more data of your own choosing. You may find it instructive to consider this data as you are working on the design. Note: If you have not already developed some automated processes for generating data, we encourage you to do that now. Writing a Python script. or using some other automated process to generate the data that matches your schema is a great idea. A reminder that, as is stated in the syllabus, the only generative AI tool you should be sharing course materials with is UofT’s Copilot instance. It is OK to use Copilot to help you generate the data here; you will still need to verify it though. Then, write queries to do the following: 1. For each airport, report the name of the airport and total number of passengers that travelled through that airport in 2023. The result should include at least three airports, with one having at least 50 passengers, one with 0 passengers, and one with somewhere between 0 and 50 (exclusive). It is OK to have more airports in your result. 2. Find the passenger(s) who travelled on the same route the most times in 2023. Report the passenger name and the route. The result should contain at least 5 routes, at least one of which has a tie. 3. Find routes between two different countries where the average number of passengers requiring visas is less than 25% of the average number of passengers requiring visas over all routes between two different countries. Report where these routes depart from and arrive at, and their average number of passengers requiring a visa. The result should contain at least two routes where the average is not 0. 4. For each airline, find crew that worked with the same plane at least 10 times in 2023, either as flight crew on a flight or as ground crew at an arrival or departure gate. Report the airline, crew member, plane, and the number of times that crew member worked with that plane. We will not be autotesting your queries, so you have latitude regarding details like attribute types and output format. Make good choices to ensure that your output is easy to read and understand. You do not need to worry about how your queries handle corner cases. Write your queries in files called q1 .sql through q4 .sql. Download file runner.txt, which has commands to import each query one at a time. Once all your queries are working, start postgreSQL, import runner.txt, and cut and paste your entire interaction with the PostgreSQL shell into a plain text file called demo .txt. We will assess the correctness of your queries based on reading demo.txt, so it must show the results of the queries. There is no need to insert into tables (since we are not autotesting). We will also be looking at your queries to make sure they access the appropriate tables you defined in your schema. There will be lots of notices, like: Eg. INSERT 0 1, psql:q2.sql:16: NOTICE: view “blah” This is normal, and we are expecting to see it. What to hand in for Part 1 Hand in plain text files schema.ddl, data.sql, and q1 .sql through q4.sql, and demo .txt. These must be plain text files. IMPORTANT: You must include the demo file, and it must show the output of your queries, or you will get zero for this part of the assignment. How Part 1 will be marked Part 1 will be graded for design quality, including: whether it can represent the data described above, appropriate enforcement of the constraints described, avoiding redundancy, avoiding unnecessary NULLs, following the priorities given for any tradeoffs that had to be made, and good use of DDL (choice of types, NOT NULL specified wherever appropriate, etc.) Your queries will be assessed for correctness, as described above. Your code will also be assessed for these qualities: • Names: Is every name well chosen so that it will assist the reader in understanding the code quickly? This includes table, view, and column names. • Comments: Does every table or view have a comment above it specifying clearly exactly what a row means? Together, the comments and the names should tell the reader everything they need to know in order to use a table or view. For views in particular, comments should describe the data (e.g., “The student number of every student who has passed at least 4 courses.”) not how to find it (e.g., “Find the student numbers by self-joining ...”). • Formatting according to these rules: – An 80-character line limit is used. This is important so your submission is readable in MarkUs for the graders – Keywords are capitalized consistently, either always in uppercase or always in lowercase. – Table names begin with a capital letter and if multi-word names, use CamelCase. – attribute names are not capitalized. – Line breaks and indentation are used to assist the reader in parsing the code. Part 2: Functional Dependencies, Decompositions, and Normal Forms In your answers for this part, please list all attributes in final relations and FDs for each part in alphabetical order. This will make it easier for the graders to read your answers. Within each individual FD, this means stating an FD as XY → ABC, not as Y X → BCA. Also, list the FDs in alphabetical order ascending according to the left-hand side, then by the right-hand side. This means, WX → A comes before WXZ → A which comes before WXZ → B. You could also combine FDs with the same LHS in your final answer. 1. Consider a relation R1 with attributes DEFGHIJK with functional dependencies S1 : S1 = { D → FG, E → HK, F → EIJ, F → K } (a) State which of the given FDs violate BCNF. (b) Use the BCNF decomposition algorithm to obtain a lossless and redundancy-preventing decomposition of relation R1 into a collection of relations that are in BCNF. Make sure it is clear to the reader which relations are in the final decomposition, and don’t forget to project the dependencies onto each relation in that final decomposition. Because there are choice points in the algorithm, there may be more than one correct answer. List the final relations in alphabetical order. (c) Does your schema preserve dependencies? Explain how you know that it does or does not. (d) Use the Chase Test to show that your schema is a lossless-join decomposition. (This is guaranteed by the BCNF algorithm, but it’s a good exercise.) 2. Consider a relation R2 with attributes JKLMNOPQ and functional dependencies S2 . S2 = { JLM → N, K → LM, KN → JLO, M → JKO, N → JL } (a) Compute a minimal basis for S2 . In your final answer, put the FDs into alphabetical order. (b) Using your minimal basis from the last subquestion, compute all keys for R2 . (c) Employ the 3NF synthesis algorithm to obtain a lossless and dependency-preserving decomposition of relation R2 into a collection of relations that are in 3NF. Do not “over normalize” . This means that you should combine all FDs with the same left-hand side to create a single relation. If your schema includes one relation that is a subset of another, remove the smaller one. (d) Does your schema allow redundancy? Explain how you know that it does or does not. Show all of your steps so that we can give part marks where appropriate. There are no marks for simply a correct answer. You must justify every shortcut that you take. What to hand in for Part 2 Type your answers up using a tool like LaTeX or Word. Hand in your typed answers, in a single pdf file called a3.pdf. Handwritten submissions will not be accepted and will receive a grade of 0. Final Thoughts Submission: Check that you have submitted the correct version of your files by downloading it from MarkUs; new files will not be accepted after the due date. Forming groups: Make sure you have created your group in MarkUs as soon as you decide to work with a partner. Make sure you both see the group as expected. The deadline for getting assistance from us in creating your groups is Monday, November 25. We strongly recommend you create your group before then. Marking: The marking scheme will be approximately this: Part 1 70%, and Part 2 30%. Some parting advice: It will be tempting to divide the assignment up with your partner. Remember that both of you probably want to answer all the questions on the final exam. A reminder from the syllabus: “If you choose to work with a partner, we expect that you are working together on all parts of the assignment. If you choose to work with a partner in another way, you are responsible for all issues that arise from splitting up the work.”
FIN B375F Banking Services Assignment 2 This is agroup-based project, with 2 students per group, in which students are required to analyze a topic or case, towards developing research aptitude and application of finance theories. It includes a peer-review for members to opine on each other’s contribution. This assignment is used mainly to assess learning outcomes 1 to 3. Weighting: 20% of the total marks for this course Due date: 13 Nov 2024 Important note: • You must use Microsoft Word to prepare the assignments and submit them via the Online Learning Environment (OLE). All assignments must be uploaded to the OLE by the due date. • Your written group report and individual peer review must be submitted before 17:00 on the due date in order to receive full credits. • Failure to upload an assignment to the OLE in the required format may result in the score for the assignment being adjusted to zero. Question: Over the past few years, the topic discussed in this video has changed the landscape of banking services. https://www.youtube.com/watch?v=JXLj6hvPJUU The trend has also raised concerns regarding risks and hence the supervision of banks’ application of it. Select and study a use case by a bank operating locally, then draft and submit a report with your insights highlighting: 1. The name of the bank and nature of the use case 2. The pain points the adoption aims to address 3. The risks and challenges experienced or anticipated in the adoption 4. Potential strategy to manage relevant risks, overcome associated challenges and maintain financial stability My expectation of your group report: • Presents original work you perform. • Well organized • Correct spelling and grammar • No more than 1,000 words My expectation of your individual peer review: • Candid evaluation of your teammate, with an integer score from 1 to 5 (5 being the best) • Constructive comments • No more than 100 words
N1596 ALTERNATIVE INVESTMENT FUNDS Assessment Period: December 2024 (A1) Please answer, after carrying out research on suitable investment strategies, investment funds, investment trusts or ETFs, the questions below. Your answers should be brief and provide a clear recommendation for the best investment strategy, fund, investment trust or ETF, with a short explanation for your choice. Before you make your recommendation, please: (a) consider the current macroeconomic environment across the world (b) think about which region or countries are likely to dowell in the next 5 to 10 years; and (c) consider major investment themes that were discussed in the module. Please also read “Further guidance on writing your report” (see below) before you write your answers. You must answer all questions. PART A (30 MARKS) 1. Real Estate (8 marks) Identify three suitable investment products (an investment fund, trust or ETF) that invest in real estate and recommend one product that you think would be the best choice. The funds, or investment trusts or ETFs should be listed in London or should be accessible by a UK investor, and should relate to supertrends we explored. The reasons for your recommendation should be explained and include a comparison between the funds or investment trusts or ETFs you identified. 2. Infrastructure (8 marks) Identify three suitable investment products (which could bean investment fund, an investment trust or ETF) that invest in infrastructure and recommend one product that you think would be the best choice. This can include infrastructure debt, infrastructure for technology e.g. telecommunication towers, broadband infrastructure etc as well as infrastructure for health, defence, transport etc. The funds, or investment trusts or ETFs should be listed in London or should be accessible by a UK investor. The reasons for your recommendation should be explained and could include, for example, cost, fees, performance, industries or regions or types of infrastructure in which the fund invests etc. Your reasons should include a comparison between funds or investment trusts or ETFs you identified. Before answering this question, you might find it helpful to listen to Goldman Sachs’s podcast on Infrastructure Investing (available at https://www.goldmansachs.com/insights/goldman-sachs- exchanges/02-29-24-infrastructure-teresa-mattamouros. A transcript of the podcast is available at https://www.goldmansachs.com/pdfs/insights/podcasts/episodes/02-29-24-infrastructure-teresa- mattamourous/transcript.pdfand is also available on Canvas) 3. Alternative Investment strategies (8 marks) PSP, one of Canada’s largest pension funds (website investpsp.com) with around CAD250bn in assets has a portfolio of investments across alternatives including 15% in private equity, 13% in infrastructure, 10% in real estate, 9% in credit investments and 5% in natural resources.. Which two of these asset classes do you consider would perform. the best irrespective of market conditions, and why? Please explain in detail the reasons for your choices. 4. Shipping, Aviation or Transportation (6 marks) Identify one investment product (an investment fund, trust or ETF) that invests in shipping, aviation or other transportation, keeping in mind the super trends we explored. Give reasons for your choice. PART B (30 MARKS) 5. Thematic ETF (30 marks) Identify three thematic ETFs that you think offer the most promising opportunities for investors. The ETFs should be listed in London or be accessible by a UK investor. Give reasons for your choice. Before answering this question, you might find it helpful to review thematic ETF related publications of banks and investment managers, including: • Legal & General https://www.lgim.com/en-fi/adviser-wealth/capabilities/our-etf- range/thematics/, • BlackRockhttps://www.ishares.com/uk/professional/en/themes/thematic-investing, • Deutsche Bank https://etf.dws.com/en-gb/knowledge/focus-topics/future-trends-investing- in-xtrackers-thematic-etfs/, • State Street Global Advisers https://www.ssga.com/us/en/intermediary/capabilities/invest- thematically-in-new-economy-etfsand • Global X, the investment unit of Mirae Asset,a South Korean asset manager which has several investment themes-based ETFshttps://www.globalxetfs.com/thematic-growth-etfs/ PART C (40 MARKS) 6. Supertrend and Reflective Analysis (40 marks) Identify one supertrend or megatrend that you think will be the most promising to follow for the next 20 to 40 years. Explain the reasons for your choice, in detail, and identify two products (a fund, an investment trust or ETF) which allows an investor to invest in your chosen trend. You cannot select a trend that is covered by another question in this paper. This question allows you to demonstrate your broader research and reading in the investment sector. Please also explain how your understanding of investment choices has altered over the course of the workshops, what process you now follow to make investment choices, what documents you review, as well as what surprised you the most about, or was the most interesting aspect about, the topics that we discussed during the module. This question allows you to reflect on how your understanding of and assessment of investment structures has developed over the course of the module. Further guidance on writing your report Word count: Maximum of 2000 words. This is a maximum. Your report can be shorter. For Q1, Q2, Q3 and Q4 you should aim to answer each question with about 250 words. For Q5 your answer should be longer and more detailed, around 350 words while for Q6 around 650 words are suggested. These are suggestions - as long as the overall is within 2000 words, it is acceptable. Graphs/charts: You do not need to include any graphs, diagrams or charts of performance. Figures/tables: You can include a summary table of fees or performance for your recommended funds or investment products. Any figures or tables will not be included in the word count. Performance: You must include performance details/returns for the funds that you discuss in Q1-3. Style. of report: Be brief. The 2000 word limit is a maximum. Your report can be much shorter. For Q1, Q2 and Q3 please answer in the format of the table below (using the example of Q1). For Q4, Q5 and Q6 there is no need for a table; a paragraph for Q4 will be sufficient. However, for Q5 and Q6, a more detailed answer will be expected, with Q6 being the longest answer. Q1 Strategies Strategy/Funds identified: 1. ABC Fund 2. DEF Investment Trust 3. GHI ETF Recommended Strategy/ Fund: ABC Fund Reasons for recommendation: First, performance: ABC has returned X% over the last [5] years whereas the XYZ fund has returned Y%. Second, fees: XYZ has a performance fee of x% while ABC has no such fee etc Third,… etc etc Fourth, etc etc. Bibliography/References: Please list the resources/websites you used to select your choices. This does not need to be on a question-by-question basis. Your final page can simply list resources you referred to.
CASE STUDY FOR HONG KONG TAXES (100 marks) David is a UK citizen who has been married to Nancy since March 2016. Nancy is a permanent resident of HongKong and lives there regularly. David and Nancy are both over 25 years old. David works for ZAB Limited (ZAB), the Hong Kong subsidiary of the multinational company Zenith Inc., which is incorporated in the UK. From a tax perspective, both his place of employment and the residence of ZAB are considered to be in the UK. David serves as both the director and purchasing manager of ZAB Limited. His remuneration is paid by ZAB. While he is based in the UK, David frequently travels throughout the Asia Pacific region, especially to HongKong. David's travel schedule for HongKong in the year 2023/2024 is as follows: 2 April 2023 to 10 April 2023; 6 May 2023 to 12 May 2023; 11 August 2023 to 15 August 2023; 10 November 2023 to 29 November 2023; and 1 January 2024 to 30 March 2024. David's remuneration for the year 2023/2024 is detailed below (all amounts are in Hong Kong Dollars): (1) Annual salary income: $2,440,000; director fee $200,000. (2) Year-end bonus: $120,000 (3) An interest-free loan of $100,000 was provided by ZAB on April 1, 2023, and is due for repayment in December 2024. The annual market interest rate is 8%. (4) Yearly travelling allowance (paid on 1 April): $100,000. The allowance was to subsidize David travelling costs between HK and the UK. The actual spending made by David for such purpose was $40,000 during the year. (5) In 1 June 2023, David rented a flat in Hong Kong for his and his wife at a monthly rent of $30,000. ZAB refunded $27,000 to him monthly upon submission of the rental receipts. David signed the qualifying tenancy with the landlord as an attempt to claim concessionary deductions for domestic rent. (6) On 5 April 2023, David was granted an option to purchase 50,000 shares of ZAB at $5 each within 2 years. He paid $10,000 for the option. On 15 August 2023, he exercised the option. On 20 August 2023, he sold all the shares. The market value per share were as follows: 1 April 2023 $8 15 August 2023 $12 20 August 2023 $15 (7) David’s son, aged 24, George, is studying full-time in an international school in the UK. ZAB has signed an agreement with the school so that the school fees of George are payable by ZAB. During the year, ZAB paid fees totalling $80,055 to the school. (8) Nancy does not have any salary income in Hong Kong. In March 2023, she purchased an office unit in Hong Kong, financing it with a loan from a local bank, which incurs an annual interest of $250,000. On May 1, 2023, the office unit was leased under the following terms: achmonth.(4) Rental deposit:$56,000payable on 1 May 2023.According to the le agreement, the rental deposit is intended to cover any unp rentpropertydamageorlossofrevenue lease signing.(6) Rates:$2,400 per quarter, payable by the tenant.i.Cash donation to$90 per month to HongKo Baptist University-Kindergarten$1,08070,000ii.Self-education expensespayabletoth - r his motherwho isaged7268,000iv.Contributionsto MPFvo (10) It is agreed by the IRD that the year of assessment 2023/2024 has 365 days as denominator for apportioning assessable incomes. Required (All figures should be displayed as integers): (a) Determine the number of days David visited Hong Kong (60 days ‘rule); and calculate the number of days for income apportionment under the mid-day rules. (4 marks) (b) Additionally, briefly explain whether he is liable to Salaries Tax liability for the assessment year 2023/2024 in (i) salary income & (ii) director fee. (4 marks) (c) Assess David's Salaries Tax liability for the 2023/2024 assessment year, if any. (Ignore provisional tax) (36 marks) (d) Briefly explain your tax treatment of the following items: (i) School fees $80,055 paid by ZAB (Note 7) (2 marks) (ii) An interest-free loan of $100,000 provided by ZAB (Note 3) (2 marks) (e) Prepare the property tax computation, if applicable for Nancy for the year of assessment 2023/24. (Ignore provisional tax) (12 marks) (f) Are David and Nancy eligible to apply for joint election of personal assessment for the year 2023/2024? Please provide an explanation referencing the relevant ordinances. (6 marks) (g) Compute the taxes payable (for each person) under joint election of personal assessment for the year 2023/2024. (Ignore provisional tax) (26 marks) (h) Advise it is advantageous for David and Nancy to jointly elect for personal assessment. Present your findings in a columnar format. (8 marks)
GGR 315 Environmental Remote Sensing, 2024 Assignment 5: Image Classification and color display Questions (100 marks, 10% of the final grade) 1. (20 marks) The following are the training field spectral statistics for three forest types: Show the likelihood curves for these three cover types and classify the following image using the maximum likelihood rule. In the classified image use the following code: BS for black spruce; PB for paper birch; and QA for quaking aspen. (5 marks for each line; 5 marks for classification results) Original image Classified image 2. (20 marks, 5 for each) From the confusion matrix shown below, a. Calculate the producer’s accuracy for Type 2; b. Calculate the user’s accuracy for Type 1; c. Calculate the overall accuracy and the KHAT value of this classification (show intermediate calculations); d. Explain why KHAT better represents the classification accuracy than the overall accuracy. Ground Truth Cover TypeType1Type2Type3Type4RowTotalsType12500328Type202010030Type35317025Type42004042ColumnTotals32232743125PixelRedGreenBlueApparentColor1red2green3blue4yellow5white6black
L1022: Coursework Project 100% for 2024-25 Maximum project length: 3000 words (no minimum requirement) A Cross-Country Analysis of Adolescent Fertility Adolescent fertility poses health risks for both mother and baby. Having children very early in life can also reduce a woman’s opportunities and her social and economic well-being. The aim of this project is to look at the rate of adolescent fertility (women who give birth aged 15 to 19) across countries and to explore potential determinants, as well as outcomes. What can lead to higher or lower teenage fertility? And what are the risks of having a high fertility rate among very young women? For this project, you are given country-level data from the year 2018 for a random sample of countries. Your dataset includes the following variables: · “Adolescent fertility rate (births per 1,000 women ages 15-19)” (AFR for short): This measures how many girls/women give birth in their teenage years (specifically aged 15 to 19). · “Health expenditure per capita (current US$)” (HE_pc): Current expenditure on healthcare goods and services per year per person. · “GDP per capita (current US$)” (GDP_pc): GDP per capita is gross domestic product divided by midyear population, measured in 2018 US dollars. · “Compulsory education in years” (CEdu): Number of years that children are legally obliged to attend school. · “Low-birthweight babies (% of births)” (LBW): is the percentage of babies born weighing less than 2.5kg. · “Maternal mortality (per 100,000 live births)” (MMR): The maternal mortality rate is the estimated number of women who die from pregnancy-related causes while pregnant or within 42 days of pregnancy termination per 100,000 live births. · “A woman can get a job in the same way as a man (1=yes; 0=no)” (WJob): measures whether there are legal restrictions on a woman’s ability to work. For your data analysis, perform. the following steps, and write up the results. (Use the write-up instructions document to help you with the write-up.) 1. Describe the data, using summary statistics and graphs, as appropriate. For all variables, show basic descriptive statistics and discuss them. Use at least four graphs to show important or interesting features of the data. 2. Calculate the Pearson correlation coefficients between AFR and LBW, as well as AFR and MMR. Test the statistical significance for each of the coefficients and comment on your results. Note that LBW has missing values (meaning that for some countries we do not know the share of babies born with low birth weight). You will need to exclude the countries with missing values when calculating the correlation coefficient between AFR and LBW. However, you should include these countries in your other analysis (in all of the following steps), so DO NOT remove them from your dataset. 3. Calculate the Pearson correlation coefficients between AFR, HE_pc, GDP_pc, and Cedu. Do all pairwise correlations – this should give you 6 correlation coefficients. Comment on the results. (There is no need to test statistical significance here.) 4. Test whether the adolescent fertility rate (AFR) is lower (on average) in countries where women can get a job in the same way a man can (i.e. where WJob=1). 5. Estimate the following regression model: where the i subscript. corresponds to country i. Interpret the a and b coefficients that you obtain, and comment on their economic significance. Formally test the statistical significance of the slope ( b ) coefficient. (Write out the test procedure fully.) 6. Estimate the following regression model: where the i subscript. corresponds to country i. Interpret the slope coefficients that you obtain, and comment on their economic and statistical significance. (You do not need to write out the tests for statistical significance here, just state the results.) 7. Interpret the R-squared from this regression (from part 6) and test its statistical significance. 8. Generate a new variable that captures the natural logarithm of the health expenditure per capita: Ln_HE_pc = ln(HE_pc) 9. Re-estimate the regression equation from part 6 with the new variable instead of simple health expenditure: 10. Which of the three regression models fits the data best? Why? 11. Using the last regression (from part 9) predict the adolescent fertility rate in a country with 8 years of compulsory education, $200 health expenditure per capita, and where women cannot get a job in the same way a man can (i.e. there are legal barriers to women’s ability to work).
BMAN31881 ESSAY IN ECONOMIC ANALYSIS II Due date: 8th / January / 2025. Word upper limit: Strictly 2000 words ESSAY TOPIC II Automation, Firm Growth, and the Economy Technological advances have lowered the quality-adjusted prices of robots and expanded the scope of tasks susceptible to automation. Tasks traditionally viewed as unique to humans, such as driving or flying, are now subject to automation. Automation has also begun to shape the service sector. Automation has far-reaching implications for firms, industry dynamics, market concentration, and competition. Your task is to explore the effect of automation on firm growth and industry dynamics. Reflecting on the recent literature on automation, your essay should: a) Develop a theoretical framework to explain how new process technologies such as automation and robotics affect a firm’s cost structure and shape its opportunities for growth. b) Discuss how and when firms can most benefit from automation to grow and gain market share. Support your analysis by referring to relevant findings in the economic literature. c) Explain how automation may affect a firm’s human capital, management hierarchy, growth and financial strategies and its organisational architecture, including its horizonal and vertical boundaries. Support your analysis by referring to findings in the economic literature. d) Drawing on your analysis, explain whether automation increase concentration, lower market entry and stifle competition. Critically analyse some of the empirical findings on the topic. Important: You must draw on relevant economic concepts, graphs, and theories to provide a satisfactory analysis. Failure to use economic theory, concepts, and graphs will result in a very low mark. Relevant concepts include firm productivity, Darwinian selection, scale economies, scalability, and winner-take-most dynamics. It is also important to inform. your analysis by referring to relevant data, and the use of peer-reviewed academic journals is essential. Several notes will be posted on the course webpage to help you with your research on automation and the emerging literature on the topic. A note will provide detailed marking guidelines, which you must follow.
Psychological Research Methods (Conversion) 1: 2000-Word Research Report Due date/time: Thursday 5th December 2024 at 12noon. Marks: This report will be marked on University’s 21-point marking scale (i.e., you’ll be awarded a mark ‘out of 20’) . It is worth 60% of your final grade for your unit. Overview: For this assessment you will develop, run and write-up a conceptual replication of experiment 3 from Rosenbaumetal. (2017) . This document provides a summary of our expectations for this assessment. Formatting requirements: The body of your report should be no longer than 2000 words. These 2000 words do not include the content of your title page, abstract (which should be no longer than 150 words), keywords, end-text reference list, tables or figures (or the titles/captions/notes associated with these) . The report should carefully follow the guidelines for reporting empirical work provided by the APAin the 7th edition of the publication manual (particularly chapters 2 and 3) and quantitative journal article reporting standards (JARS; although please use your student ID rather than your name on the title page) . In situations where the APA provide different guidelines for ‘professional papers’ and a ‘student papers’, please use the professional guidelines. Although you can find student-friendly summaries of the APA’s guidelines in many research methods textbooks(e.g., Coolican, 2019), please be aware that many are still based on the 6th edition of the publication manual (the 7th edition was only published in late 2019) and that they are no substitute for the realthing. Use these summaries and examples in addition to the guidelines published by the APA, not instead of them. Also note that published psychology papers, even those in journals published by the APA, are not necessarily in the ‘APA style! They are great for inspiration but should not be used as a ‘template’ for your own reports. Content requirements: Your decisions regarding the content of each section should be guided by the requirements outlined in the publication manual and quantitative JARS. However, in brief, your report should contain the following sections: Title page: The APA provide recommendations for a good title, as well as strict formatting requirements for a title page. You do not need to include an author note and should use your student ID rather than your name so your report can be marked anonymously. Abstract: An abstract is a brief yet comprehensive summary of the entire research report. It should outline the topic under investigation, as well as key participant characteristics, methods, findings and conclusions. It should be no longer than 150 words and can be unstructured or structured. If it is structured, the section headers are included in the word count. Keywords: These are words, phrases or acronyms that describe the most important aspects of your paper. Aim for three to five and try to avoid repeating words that are used in your title. Put your keywords on the same page as your abstract. Introduction: This section should introduce the topic or problem under investigation, overview relevant scholarship (i.e., past research findings and theoretical developments), and culminate in a rationale and hypotheses forthe current study. It is a requirement that yourhypotheses allow you to test the key claims made Rosenbaumetal. (2017) . However, you are welcome to report additional analyses that are either hypothesis-driven or exploratory. We will talk more about this in your lab classes. Method: This section describes the methods usedto collect the dataforhypothesis testingand should provide enough detail to permit a precise replication. It should be divided into four subsections: Design, Participants, Materials, Procedure. The Design section outlines your basic research design, and clearly identifies your independent and dependent variables. This section is typically no longer than a few sentences. The Participants section describes the sampling method used in the study, as well as the size and demographic characteristics (if known) of the final sample. It should also specify the number of participants in each group or condition if applicable, and whetheranyone dropped out duringtesting or was excluded from the final sample (along with reasons, if known) . Finally, it should “provide evidence that the study has sufficient power to detect effects of substantive interest” (APA, 2020, p. 86) . The Materials section should describe the stimuli, tasks and/or equipment that participants were asked to respond to, as well as an account of how participants’ responses were aggregated and/or scored to create the variables in your statistical analyses. Finally, the Procedure section should present a description of how data collection was carried out. What were participants asked to do, and in what order? How long did this procedure take? There is no need to repeat information already provided in the Materials section here, and consequently this section is usually quite brief. Results: The Results section should contain descriptive statistics for the dependent variables in your hypotheses (by condition/swhere applicable), an account of the statistical tests used to test your hypotheses, and a summary of the outcome of those tests. To facilitate interpretation, you should also include appropriate measures of effect size and precision. Although assumption testing is not usually reported in published research reports, it should be reported for this assessment. Finally, we would like you to include a figure to illustrate yourresults. Think carefully about the datayou want to present in this figure, and how to display it clearly and honestly. Also note that the publication manual has many requirements forthe preparation of figures (and tables, if you elect to include one in your report) . Placement offigures and tables: Thepublication manualsays that these can eitherplaced immediately afterthe paragraph(s) in which they are first mentioned, oron separate pagesat the end of the paper. Please do the former, as it makes marking much easier. If a figure or table won’t fit in the space available below the paragraph in which it is first mentioned, put it on the next page. Someblank space is fine, and far preferable to unnecessarily splitting a figure or table across two pages. Please note that is not acceptable to copy a write-up from a textbook, journal article, lecture slides or previous student report and then drop your own variables and numbers into it. You should be using these sources as examples to workout what youneed to be saying, but then putting them aside before you start writing. There are lots of different ways that you can write up the results of common statistical tests and simply inserting your own variables and numbers into extracts copied from published (or unpublished) works is a form of plagiarism. Finally, although you will work in small groups on substantial parts of this assessment (e.g., building the experiment, collecting data) and you will no doubt discuss your data analysis process and results with your colleagues, you must run your own analyses and write them up independently. To encourage this, everyone will be assigned a slightly different sample of data. When it comes to writing your report, do it independently. This will minimise your likelihood of accidentally (or deliberately) engaging in collusion. The penalties for collusion and other forms of academic misconduct can be severe and are best avoided. Discussion: In this section, you should begin by considering your results relative to your hypothesis and previous research findings. The Discussion section should also highlight methodological aspects of the research which influence the interpretation and generalisation of your findings (these maybe strengths and/or limitations), theoretical and/or applied implications of your findings, and directions for future research. It should end with a brief paragraph summarising the key message that you want readers to take from your report. Reference List: An APA style list of all the references cited in your report. Your selection and use of references should demonstrate that you are aware of the research (both old and new) which is most relevant to your study. You must only reference papers that you have actually read! For example, if you read about Koch et al. (2009) in Rosenbaumetal. (2017), only Rosenbaumetal. (2017) should appear in your reference list. In text, you would use “Koch et al. (2009, as cited in Rosenbaumetal., 2017)” . A longer reference list is not necessarily a better reference list and padding a reference list with material that you haven’tread is usually obvious to an experienced marker. Please note that it is not customary to cite any writing manuals or statistical texts/articles that you consult when preparing a research report, and consequently you are not expected to cite them in this assessment. Online Supplement: As an online supplement to your report, please upload your data and the SPSS syntax needed to reproduce your hypothesis tests to the OSF ( https://osf.io) . Include anonymised ‘view only’ links to both in the body of your report. You can choose to make your project public or leave it private. WhetheryourOSF project is public or private will have no impact on your marks for this report. What is important is that we can download your data and syntax and reproduce the results of your hypothesis tests. Please indicate clearly in the OSF project description and/or wiki that your data were collected for an assignment for PSYCM0081 at the University of Bristol. Key Sources: American Psychological Association. (2020) . Publication manual of the American Psychological Association (7th ed.) . https://doi.org/10.1037/0000165-000 Appelbaum, M., Cooper, H., Kline, R. B., Mayo-Wilson, E., Nezu, A. M., & Rao, S. M. (2018) . Journal article reporting standards for quantitative research in psychology: The APA Publications and Communications Board Task Force report. American Psychologist, 73(1), 3-25. https://doi.org/10.1037/amp0000191 Caron, E. E., Reynolds, M. G., Ralph, B. C. W., Carriere, J. S. A., Besner, D., & Smilek, D. (2020) . Does posture influence the Stroop effect? Psychological Science, 31(11), 1452- 1460. https://doi.org/10.1177/0956797620953842 Rosenbaum, D., Mama, Y., & Algom, D. (2017) . Standby yourStroop: Standing up enhances selective attention and cognitive control. Psychological Science, 28(12), 1864-1867. https://doi.org/10.1177/0956797617721270 Smith, K. C., Davoli, C. C., Knapp, W. H., III., & Abrams, R. A. (2019) . Standing enhances cognitive control and alters visual search. Attention, Perception, & Psychophysics, 81, 2320-2329. https://doi.org/10.3758/s13414-019-01723-6
Fall 2024 EMCH792 – Optimal State Estimation Final Project Submission deadline: Tuesday, December 10, 9am Final Project Instructions Consider the kinematic bicycle model shown above. Assume that both lr and lf are 1.0m and that the model covariance is Q = diag([0.01, 0.01, 0.1, 0.05]). The state of the system is the position (x, y) of the center of the mobile robot, the orientation angle ψ and the velocity of the center of the robot υ. The inputs are the steering angle δf and the acceleration α. There are two sensors measuring the state of the robot as shown below: The first sensor measures the distance of the robot from the origin and the second is a “weird” sensor that measures the cube of the orientation. Both sensors are prone to faulty measurements. Three files are included with the project. First, the ‘FP_data.mat’ that contains deployment data from the robot for 10 seconds. The true position and orientation of the robot are x, y and psi respectively and the velocity is υ. The inputs are a and df and the measurements are y1 and y2. Two more files are included, ‘y1_calib_data.mat’ and ‘y2_calib_data.mat’ . These contain sample data from the sensors while the robot was stationary. Using MATLAB do the following: I. Using the sensor sample data provided, find the sensor variances. II. Using rectangular integration to discretize the model, implement a vanilla EKF and UKF. Plot and comment on both filters’ results. Discuss the difference in the filter accuracy and the estimated error covariance between the filters. III. Measure the average run time for the EKF and the UKF filters. Present and comment on the results. IV. Implement measurement gating on both filters and compare the old and new results. Since you have two different sensors, you are expected to check each measurement separately. V. For the UKF, use Runge-Kutta integration to discretize the model, and compare the results with the ones from the rectangular integration. Comment on any difference in the accuracy of the filter. VI. Measure the average run time for the Runge-Kutta version of the UKF and compare it with the rectangular integration version. Hints: i. For the different integration methods, check section 1.5 of the textbook ii. To measure elapsed time in Matlab, you can use the functions “tic” and “toc” (https://www.mathworks.com/help/matlab/ref/tic.html ) Submission Instructions All the files you need for the final project are in the ws folder. You are expected to work inside this folder only. Open and edit the “Final_project.m” file. This file needs to contain all the answers to the above problems. Your submission needs to include: . “Final_project.m” -> The edited MATLAB script with your solutions . A pdf report that will include all your results and required discussion on the results Make sure that the scripts you submit can run. Do not copy the results that appear in the command window in your scripts and make sure that if you add any comments in your scripts that they follow the proper MATLAB syntax. Scripts that do not run will not be graded. Grading Rubric Problem Points I 5 II 25 III 10 IV 25 V 25 VI 10
ENGM300 – Medical Robotics Medical Robotics - Coursework Key informa,on Module name Medical Robotics Unit of Assessment Coursework Unit of Assessment weigh4ng 40% Submission date 02/12/2024 by 16:00 on SurreyLearn Feedback release date Not aAer 13th January 2024 Learning Outcomes The learning outcomes for this coursework and for the module can be found at the following link: hIps://catalogue.surrey.ac.uk/2024-5/module/ENGM300/SEMR1/1. The par,cular learning outcomes being assessed in the coursework are: 1. Understand fundamental concepts in robotics and robotic control. 2. Implement the principles of robotics and robotic control in solving prac,cal problems. Task The coursework submission should take the form. of a three-part report with a brief introduction and conclusion. The report should be 2,000 ± 500 words long and include a word count with your submission. The word count does not include equations, figure captions and/or table captions. Reports should be submiIed as .pdfs and will be subject to the usual Turnitin checks. Part 1: In the practical sessions you have been familiarised with the Trossen robot. Using the engineering drawings at the end of this briefing document (Appendix A), identify the link parameters and joint variables. Present these parameters using the Denavit-Hartenberg [D-H] notation. Finally, show the individual link transformation matrices for the robot. You should provide an explanation of your process but do not need to calculate W(B)! or T(B)!. (25%) Part 2: In terms of the subspace, reachable workspace and dextrous workspace, discuss the Trossen robot's potential kinematic limita,ons. What are those limitations and how may they impact a robot sharing those limitations in surgical applications? Taking a healthcare robot [either a research or commercial device], explain its kinematic differences from the Trossen robot. With illustrations, you should also show how the robot's design exploits different features to improve its kinematics. You should not use the PUMA robots as these have already been covered in depth during classes. (25%) Part 3: With the robot you have identified in Part 2, firstly, present its medical application. You should outline what that application is and why the application is par,cularly suited to robotic delivery or assistance. You should then discuss any tooling that the robot requires to do its job and why its kinematics help to perform the task so effectively. (30%) Introduc4on and Conclusions: In the introduction, briefly outline the context for using healthcare robots and the aim of the report that follows. Finish the body of the report by drawing the main conclusions from your work. (5% each) Presenta4on: As with any technical report, make sure that your work is presented correctly. Please make use of figures, tables, equations and references to aid the reader. All elements should be formaIed using the conventions and standards expected from a scientific paper. Take care to use concise, precise and correct language and grammar for the best possible communication. (10%) Some notes on the requirements: The word count begins with the first word of the introduction and ends with the last word of the conclusions. It does not include references, citations, equa,ons, and figure/table cap,ons and content. You are encouraged to use figures to illustrate concepts and, as there is no limit on pages, any figures and tables should be presented at a sensible size. It is not anticipated that you would need an appendix for this report. However, if you feel that there is content suited to appendices, i.e., supplementary information not for assessment, you may include this. Healthcare robot is specified in the brief as opposed to surgical robot. You may use any robot with a medical application, which includes those robots used for surgery. You may also use a robot that has been covered in the course to-date – though not the PUMA series. However, it is anticipated that the robot has kinematic interest; deliberately choosing a robot with very few degrees of freedom or highly simplified mechanics should be avoided. Such a simple robot would limit the depth and substance that you can provide in many areas of this coursework!
Part one: Project Data for Neural Networks In this part of the course homework, you will work with predictions on a data set from the 2016 US Presidential election. This part of the homework requires some work in RStudio, use this document to answer questions on what you discover. Q1. How well did your model predict the election results? (Hint: You need to split data into two sets: training/testing. Do the neuralnet(). Give the train result, and analysis the result based on confusion matrix or other metrics.) Q2. Do you think your model will generalize well to new data? Why or why not? (Hint: show the test result. You may see some change in result compared with train set. Provide some words on the change.) Q3. What could be done to improve the model? Q4. In the space below, describe your neural network structure. I.e., how many hidden layers were in the network? How many nodes in each hidden layer? Which activation function did you use? Which independent variables did you include? Part two: Use H2O and LIME for Neural Network Predictions In this part of the course homework, you will use H2O and LIME for neural network predictions on a data set predicting the sale prices of houses. This part of the homework requires some work in RStudio, use this document to record your accuracy measures. NOTE: Because of the amount of data in this assignment, you may experience delays while R runs the computations. If you encounter warnings that the H20 cluster node is behaving slowly, paste ‘h2o.removeAll()’ into the Console and run it to free up as much memory as you can. Q1. How well did your model predict the house prices? Q2. Do you think your model will generalize well to new data? Why or why not? (Hint: show the test result. You may see some change in result compared with train set. Provide some words on the change.) Q3. Which variables ended up being the most important? (Hint: show the importance variables resulted from H2O.) Q4. What could be done to improve the model? Q5. In the space below, describe your neural network structure. I.e., which independent variables did you use? How many hidden layers were in the network? How many nodes were in each hidden layer? Which activation function did you use? Did you use an adaptive learning rate? How many epochs did the training algorithm run for?
Russian 3480.99 / Autumn 2024 Exam #3 This exam covers material assigned for class from October 21 through December 4. Type your exam responses into this .docx file and re-upload the file to Carmen under Assignments > Exam #3 by the deadline of Wednesday, December 4 at 11:59pm. Please contact Dr. Lin ahead of the deadline if you need to request more time. You may use the 48-hour deadline extension request link on our Carmen homepage for this assignment if you need it. When taking this exam, you may reference any of our course materials, including films, tv shows, readings, lectures, and anything on our Carmen site. You may also make use of the Internet—except for AI text generators—and any other research materials you may find (though you do not need to use any outside materials to complete the exam). You may not, however, consult with classmates or other people on your work, view other students’ exam responses, or make use of AI. All exams will be run through the Turnitin plagiarism checker. Answer any ten out of these twelve questions in 3–4 sentences each. If you answer more than ten questions, I will grade only the first ten. Each question is worth 10 points. Note: an accurate but vague or incomplete answer will not receive full credit, so you are encouraged to make your 3–4 sentences robust. You are also encouraged to re-read the questions before you submit your exam and make sure that you actually answer the questions you are being asked. See the assignment page on Carmen for examples of how responses will be graded. 1. Even though the film GoldenEye takes place in the newly post–Cold War world, it still pits the West against Russia. How does the film’s message of Western superiority over Russia compare to the real-life diplomacy between the two nations in the 1990s? 2. Even today, the James Bond character and worldview continue to be ideologically rooted in the early–Cold War era in which the character was created. Name two specific aspects of the James Bond universe that could merit criticism by Western audiences/consumers of today, and characterize changes in Western culture that account for why the traditional Bond character made sense as a Hollywood hero in 1962 but less so in 2021 (when the most recent film came out). 3. What was the role of the KGB in the fall of the USSR? 4. One of the stereotypes about Russians that we often find in Western films and tv is that the “good” Russians defect to the West (or want to defect). How does this defection plotline tend to emphasize a Cold-War mentality even in apolitical stories? Reference something we’ve watched this semester in your answer. 5. On the one hand, as we studied, Russian spies are often portrayed in film as sexy women with a streak of violence. On the other hand, as we studied, the KGB and now the FSB/SVR have become extremely good at something that seems very mundane: disinformation. Why might it be a problem that Hollywood movies lead us to completely misunderstand what Russia is up to? What level of threat does disinformation pose? 6. How does Black Widow link Russian women with espionage, sex, and violence—or not? Does it replicate or challenge these stereotypes? 7. What do we mean when we say that the KGB/FSB can be seen as “information monitors and managers”? 8. How has Putin changed Russia socially, culturally, and politically since he was first elected president in 2000 and particularly since the large-scale invasion of Ukraine in 2022? 9. A commonplace of today is that Putin and Russian leadership think America is self-destructing. What features of Russian interference in American elections demonstrate Russia’s efforts to sow discord in the U.S.? 10. Pick one video, meme, image, insult, etc. from contemporary American culture that exhibits “Russophobia.” (This could be something we studied in class or something you’ve encountered on your own.) Explain how your chosen item is an example of Russophobia and how it uses Russophobia to affect its audience in a particular way. 11. Over and over again, Putin silences opposition (and the so-called “opposition media” that used to be present in Russia was in fact in actual dialogue with the state). Drawing on the lecture, what result do you think Putin hopes to achieve with the murders of people like Anna Politkovskaya, Alexander Litvinenko, and Aleksey Navalny (perhaps technically not a murder, but his death was certainly encouraged and welcomed by the state)? 12. Putin’s intentions with the Russo-Ukrainian War—and what sort of ending to the war he envisions—remain somewhat unclear. Citing specific points made in the lecture to back you up, please take a guess at what Putin wants out of this war.
INTERNATIONAL A-LEVEL CHEMISTRY (9620) Unit 5: Practical and synoptic Section A Answer all questions in the spaces provided. A student has samples of three organic compounds. The samples are not labelled but are known to be propanoic acid, butanal and pentan-1-ol. Describe three test-tube reactions that can be used to identify the three organic compounds. Use a different test-tube reaction for each compound. Your answer should include the reagent(s) used and the expected observation for each test. [6 marks] Propanoic acid Butanal Pentan-1-ol The student mixed together samples of pentan-1-ol and propanoic acid and added a few drops of concentrated sulfuric acid. The mixture was left in a warm place for a reaction to occur. Write an equation for the reaction that occurs. State an observation that would be made at the end of the reaction. Give the IUPAC name of the organic product. [3 marks] Equation Observation IUPAC name An alcohol, ROH, reacts with hydrochloric acid according to the equation ROH + HCl → RCl + H2O The kinetics of this reaction were investigated using this method. • An aqueous mixture was prepared containing equal volumes of alcohol and hydrochloric acid. • The concentration of HCl in the mixture, [HCl], was monitored by removing 5.00 cm3 samples at known times. The samples were diluted and titrated with aqueous sodium hydroxide. • A graph was plotted of [HCl] against time. A 5.00 cm3 sample was removed from the reaction mixture. This sample was then diluted to a volume of 25.0 cm3 using deionised water. This diluted sample needed 11.50 cm3 of 0.255 mol dm–3 aqueous sodium hydroxide for complete neutralisation. Calculate [HCl] in the sample removed from the reaction mixture. Give your answer to the appropriate number of significant figures. [3 marks] [HCl] mol dm–3 Figure 1 shows how [HCl] varies with time during the reaction. Figure 1 Determine the rate of reaction at t = 4.0 minutes by drawing a tangent to the curve in Figure 1. [3 marks] rate of reaction mol dm–3 min–1 A graph of rate of reaction against [HCl] was plotted. The graph was a straight line through the origin. The reaction between ROH and HCl is first order with respect to ROH Deduce the rate equation for the reaction between ROH and HCl [1 mark] In one calculation of [HCl] the volume of the sample removed was recorded as 5.00 cm3 but 10.00 cm3 were incorrectly removed. Deduce the effect, if any, of this mistake on the calculated value of [HCl] [1 mark] The kinetics of the reverse reaction (RCl + H2O → ROH + HCl) were also investigated. The reaction was found to be first order with respect to RCl and zero order with respect to H2O In one experiment, the results obtained were [RCl] = 0.107 mol dm–3 rate = 0.562 mol dm–3 min–1 Calculate the value of the rate constant, k, for this reverse reaction. Deduce its units. [2 marks] k units Hydrolysis reactions such as that between RCl and H2O occur by different mechanisms that can be represented as shown. Mechanism 1 RCl + H2O → ROH + HCl (slow) Mechanism 2 RCl → R+ + Cl – (slow) R+ + H2O → ROH + H+ (fast) Deduce which mechanism (1 or 2) is supported by the information given in Question 02.5 Explain your choice. [2 marks] This question is about electrochemical cells. Figure 2 shows a diagram of an electrochemical cell. Figure 2 Explain how the salt bridge provides an electrical connection between the two half-cells. [1 mark] Suggest why potassium chloride would not be a suitable salt for the salt bridge in this cell. [1 mark] Suggest why the current in the external circuit of this cell falls to zero after the cell has operated for some time. [1 mark] A different electrochemical cell was made from a copper half-cell and a manganese half-cell. Cu2+(aq) + 2e– → Cu(s) Eo = +0.34 V Mn2+(aq) + 2e– → Mn(s) Eo = –1.18 V Give the conventional representation for this cell. Calculate the EMF of this cell. [2 marks] Cell representation EMF V Table 1 shows some standard electrode potential data. Table 1 Use these data to answer the following questions. Iron filings are added to a solution that contains the ions Cu2+, Fe3+ and Zn2+, all with concentration 1.00 mol dm–3 Give the formula of the metal ion in the solution that does not react when iron filings are added. Give a reason for your answer. [2 marks] Deduce the equation for each of the two reactions that occur. [2 marks]
