Filter by keyword, subject, or both. Updates live as new model answers are added to our portal.
Security of Emerging Connected Systems
1,500 words
CW1: Policy and Legal Aspects Report – IoT System
This 1,500-word report for the Security of Emerging Connected Systems module examines the legal and security implications of a proposed Internet of Things (IoT) system designed for consumers to monitor food intake and bodyweight. The coursework requires students to provide an initial investigation of the potential legal pitfalls associated with the proposed product and identify appropriate solutions or mitigation measures. The report is worth 5 credits and is assessed as an individual written report. The proposed IoT system consists of several connected components. A smartphone application allows users to scan barcodes of processed food to record calorie and nutritional information against their health record. A kitchen scale communicates with the phone application to record the weight of ingredients used in home-cooked meals. A bathroom scale records the user's weight and provides light and sound reminders to encourage regular measurements. A UK-based server stores the collected information and generates individual user reports. The main purpose of the report is to ensure that the company understands the UK and international laws that may apply to the proposed system. Students must identify potential legal issues and recommend appropriate mitigation through technology, organisational policy, licensing arrangements or user agreements. The system definition is deliberately broad, so students should not make unsupported assumptions about its design. Where several options have different legal implications, the report should compare the relevant alternatives and explain their implications rather than presenting only one solution. The initial product is intended for UK residents, while the company is considering future expansion into the United States. Consequently, the report should focus primarily on UK law but also include a short section discussing legal aspects that may need to be reconsidered when entering the US market. The report is intended for company executives and may subsequently be provided to the R&D department. Therefore, high-level outcomes should be communicated early, while useful links to technical information such as encryption schemes, protocols and frameworks may be provided without extensive technical explanations in the main report. The assessment places 50% of the marks on understanding and coverage of UK and US law, 40% on technical recommendations and 10% on report presentation. Strong submissions are expected to provide comprehensive coverage of relevant legislation, connect legal issues with the wider security context, analyse technical recommendations for both regions, identify differences between UK and US requirements and support arguments with appropriate citations and a wide range of sources. The assignment learning outcomes focus on critically evaluating the role of security policy in protecting information assets and proposing appropriate policies for internet-based technologies. They also require students to demonstrate an understanding of key legislation relating to information security and how legislation influences organisational security policy. The final report should therefore combine legal analysis with practical security recommendations, addressing the proposed IoT system from both UK and US perspectives while remaining suitable for both technical staff and non-technical management.
Read Model Answer →
Programming for Data Science
4,000 words
Programming for Data Science – Individual Portfolio
This individual portfolio assessment for the Programming for Data Science module at Coventry University consists of four tasks designed to assess programming, debugging, data science, data visualisation, data protection and data ethics skills. The assessment carries 20 credits and has a total value of 4,000 words equivalent, excluding the reference list and output. Students are required to submit one clearly organised report containing all four tasks, with each task beginning on a new page. Python code, outputs and relevant plots must be included directly within the report. Task 1 focuses on analysing, critiquing and debugging Python code. Students are required to identify syntax errors, logical errors, style and readability issues in a supplied program, determine what the program is intended to calculate, and make appropriate corrections. Students must test the program using varying values, explain the changes made, and improve its overall readability and annotation so that an unfamiliar user can understand it. The task also requires students to investigate computational efficiency by measuring execution time for different input limits and identifying more efficient coding or logical approaches. Task 2 requires students to design, build and test a simple Python implementation of the Blackjack card game. The program should simulate a single-player game against a computer-controlled dealer, allow the player to choose between hitting and standing, automatically simulate the dealer's turn, and offer the option to play additional rounds. Complex rules such as splitting and betting are excluded, and students must not implement a Python class or graphical visualisation. The submission must include the Python code and the output from five games, with sufficient storytelling in the output to allow the code to be tested from the results shown. Task 3 assesses the student's ability to critically assess, select and apply data science tools. Students work with animal lifespan information from the AnAge database and use Python, including pandas and appropriate graphical libraries, to explore and communicate insights. The task involves summarising the number of animal species represented within each animal Class and producing plots of maximum longevity against adult weight for the four Classes with the most represented species. Students must discuss whether smaller or larger animals live longer, identify extreme outliers, compare trends between animal groups and consider implications for ageing research. Task 4 examines data protection and data ethics using the Cancer Genome Atlas (TCGA) as a case study. Students must explain how a potential data breach could occur, identify the personal and sensitive information that could be compromised, and discuss consequences for patient confidentiality, institutional reputation, participation in future research and possible legal or public relations responses. A second part considers a hypothetical UK database and requires discussion of GDPR and the UK Government Data Ethics Framework, including informed consent, anonymisation, transparency, ethical governance, privacy and public trust in biomedical research. The assessment assesses two module learning outcomes. MLO2 focuses on designing, building, testing, adapting and critiquing small programs in a high-level programming language and is assessed through Tasks 1 and 2. MLO3 focuses on critically assessing, selecting and applying data science tools, libraries or algorithms throughout the data science project lifecycle and is assessed through Tasks 3 and 4. The assignment requires APA referencing and asks students to provide in-text citations and reference lists where relevant. The brief also classifies the assessment as “Amber” for Generative AI: AI tools may be used for inspiration but not to generate answers or analyse datasets. Any permitted use must be clearly acknowledged, documented and cited using APA style.
Read Model Answer →
Emerging Technology and Cloud Computing
5,000 words
Emerging Technology and Cloud Computing – SafeCloud Project
This MSc Management coursework for BPP University’s Emerging Technology and Cloud Computing module is a 5,000-word formal business report based on the SafeCloud project at AlwaysUp Ltd., a manufacturing company specialising in power-electric equipment for buildings and critical installations. The assignment examines how emerging technologies, Big Data and cloud computing can support AlwaysUp Ltd.’s international expansion, real-time equipment monitoring, personalised preventive maintenance, data-driven decision-making, and secure management of equipment and client information. The company is seeking to expand from the UK into European markets through distributor partnerships and ultimately achieve global reach. The report requires the identification and critical evaluation of two emerging technologies that can improve AlwaysUp Ltd.’s support and equipment-care services. Students must evaluate the benefits and limitations of each technology within a manufacturing context and use real-world examples to support the analysis. The assignment specifically assesses the ability to demonstrate a comprehensive understanding and critical evaluation of emerging technologies in business. The second task focuses on designing and evaluating a cloud-based Big Data architecture that integrates the two selected emerging technologies. The proposed architecture must include an architecture diagram and should be evaluated in terms of scalability, security, cost-effectiveness, real-time data processing and decision-making. The solution should address AlwaysUp Ltd.’s business requirements and enable the collection, storage and analysis of equipment-related data. The third task examines data protection, ethical considerations, project risks and resource requirements associated with implementing the proposed solution. This includes consideration of data protection and ethical issues arising from the selected technologies, implementation risks, and the human, technological and other resources required. The fourth task analyses the strengths and weaknesses of the combined emerging technologies and Big Data architecture and considers their application to AlwaysUp Ltd.’s business strategy. The report must conclude with a proposed route forward based on the findings. The required report structure consists of an introduction of approximately 500 words, four main tasks of approximately 1,000 words each, a conclusion of approximately 500 words, Harvard-style references and optional appendices.
Read Model Answer →
Cyber Security for Business and Cloud Management
This activity aims to assess your comprehension of the diverse concepts discussed in this module. You must use the frameworks and concepts covered in this module's delivery to respond to all the tasks below. Scenario ShieldSafe Analytics Ltd. is a fast-growing health analytics company specialising in AI-driven patient diagnostics and telehealth platforms. Operating across multiple countries, the company processes high volumes of real-time patient data, including biometric and genomic records. Due to the increased reliance on remote healthcare and IoT-enabled medical devices, their infrastructure has expanded into hybrid cloud environments. Recently, ShieldSafe experienced a suspected data exfiltration incident involving anomalous traffic from one of its diagnostic platforms integrated with third-party cloud APIs. As a result, executive leadership has raised concerns about the company’s vulnerability to adversarial information operations, particularly in relation to data manipulation, misinformation, and insider threats. As a Junior Cybersecurity Strategist, you’ve been recruited to support the lead cyber intelligence consultant in reviewing vulnerabilities within their information environment, exploring offensive and defensive Information Operations (IO) concepts, and crafting robust cyber defence mechanisms. The leadership also wants to migrate a legacy electronic health record (EHR) system used across its African operations to a more scalable and secure cloud infrastructure. However, concerns exist regarding cross-border data protection laws, insider threats, and the strategic use of information in potential cyber warfare scenarios.
Read Model Answer →
L7 Cyber Security for Business and Cloud Management
This activity aims to assess your comprehension of the diverse concepts discussed in this module. You must use the frameworks and concepts covered in this module's delivery to respond to all the tasks below. Scenario ShieldSafe Analytics Ltd. is a fast-growing health analytics company specialising in AI-driven patient diagnostics and telehealth platforms. Operating across multiple countries, the company processes high volumes of real-time patient data, including biometric and genomic records. Due to the increased reliance on remote healthcare and IoT-enabled medical devices, their infrastructure has expanded into hybrid cloud environments. Recently, ShieldSafe experienced a suspected data exfiltration incident involving anomalous traffic from one of its diagnostic platforms integrated with third-party cloud APIs. As a result, executive leadership has raised concerns about the company’s vulnerability to adversarial information operations, particularly in relation to data manipulation, misinformation, and insider threats. As a Junior Cybersecurity Strategist, you’ve been recruited to support the lead cyber intelligence consultant in reviewing vulnerabilities within their information environment, exploring offensive and defensive Information Operations (IO) concepts, and crafting robust cyber defence mechanisms. The leadership also wants to migrate a legacy electronic health record (EHR) system used across its African operations to a more scalable and secure cloud infrastructure. However, concerns exist regarding cross-border data protection laws, insider threats, and the strategic use of information in potential cyber warfare scenarios.
Read Model Answer →