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Financial Mathematics
Financial Mathematics: Portfolio Analysis, Risk and Volatility Modelling
This Financial Mathematics coursework focuses on the quantitative analysis of financial assets, portfolio construction, investment risk and volatility modelling. Students are required to work with historical daily share-price data for five stocks previously selected in their portfolio. The data should cover a sufficiently long period, with at least one year of observations, and should provide positive average returns. Students must briefly describe each selected company and the nature of its business before conducting the financial analysis. The first part of the coursework requires students to calculate the expected return and volatility of each of the five companies and analyse the correlations between their asset returns. These calculations provide the foundation for evaluating the risk and return characteristics of the individual assets and their potential contribution to a diversified portfolio. The second part focuses on portfolio optimisation. Students must use an appropriate Solver function to determine portfolio risk and the percentage investment allocated to each asset for a selected target return. The process must be repeated for different target returns to generate an efficient frontier curve. This analysis demonstrates the relationship between expected portfolio returns and the associated levels of portfolio risk. The third part requires students to calculate Sharpe ratios for a range of expected portfolio returns and volatilities obtained through the portfolio analysis. Using a risk-free investment with a guaranteed return of 1.5%, students must determine the equation of the Capital Market Line and discuss its economic significance in relation to investment decisions and portfolio performance. The fourth part applies linear regression analysis to calculate the beta of each asset in the portfolio and discuss the significance of beta as a measure of systematic risk. Students must also estimate the portfolio's Value at Risk at the 5% level and discuss the contribution of each individual asset to the estimated portfolio VaR. The fifth part focuses on financial volatility modelling using R. Students must estimate the volatility of a selected individual asset using ARCH/GARCH models and their extensions, identify the most appropriate model and provide an explanation supporting the model selection. Finally, students must present their findings in non-technical language suitable for a potential investor. The conclusion should identify the implications of the analysis for selecting an efficient portfolio and discuss other relevant performance measurements. The coursework requires clear explanations of the methods and formulae used in Excel worksheets and R outputs, while unnecessary explanations of portfolio theory and the Capital Asset Pricing Model should be avoided.
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Cyber Security / Digital Forensics
3,877 words
Digital Forensics Investigation: USB, Memory and Windows Registry Analysis
This Digital Forensics Investigation Report presents a multi-source forensic examination involving removable media, volatile memory and a Windows disk image. The work is undertaken within an MSc Cyber Security context and demonstrates the application of forensic procedures, specialist analysis tools and evidential reasoning to investigate suspected criminal and malicious activity. The report places particular emphasis on maintaining evidence integrity, reconstructing activity across different forensic sources and correlating artefacts to produce defensible investigative findings. DF_Report_Sathiyaprakash The first part investigates a FAT32 USB forensic image associated with suspected video piracy and other potentially criminal activity. The examination uses tools including FTK Imager, Autopsy, Sleuth Kit, ewfmount, cryptographic hashing utilities and VeraCrypt. The methodology includes pre- and post-examination hash verification, read-only mounting, filesystem enumeration, deleted-file analysis and low-level sector examination. The investigation identifies deleted artefacts, portable anti-forensic utilities, browser evidence and an encrypted VeraCrypt container concealed within unallocated disk space. DF_Report_Sathiyaprakash The USB investigation also demonstrates the importance of evidence integrity and chain of custody. MD5 and SHA-256 hashes are used to establish and later confirm the integrity of forensic copies, while analysis is conducted without modifying the original evidence. The report examines filesystem structures, deleted files, anti-forensic tooling and encrypted data and records evidence handling through a formal chain-of-custody process. DF_Report_Sathiyaprakash DF_Report_Sathiyaprakash The second part focuses on volatile-memory forensics using a Windows memory image. Volatility 3 is used to identify the operating-system profile, reconstruct process hierarchies, inspect process ownership and security identifiers, and extract suspicious process memory. Particular attention is given to AtomicService.exe, which is observed running with SYSTEM privileges and associated with the Atomic Red Team framework and MITRE ATT&CK technique T1543.003 – Windows Service. The investigation also considers PowerShell activity, process execution timelines and indicators of suspicious behaviour. DF_Report_Sathiyaprakash DF_Report_Sathiyaprakash The third part conducts Windows Registry forensic analysis on the WinRegEvidenceP3.vhd image. Registry artefacts are examined using RegRipper, with analysis covering SYSTEM, SOFTWARE, SAM and NTUSER.DAT hives. The investigation evaluates system configuration, user accounts, application execution and persistence evidence using artefacts such as Run keys, BAM, Prefetch and scheduled tasks. These findings are then correlated with evidence recovered from volatile memory to reconstruct the sequence of suspicious activity. DF_Report_Sathiyaprakash Across the report, evidence from disk, memory and the Windows Registry is combined to reconstruct malicious activity and identify persistence mechanisms, elevated processes, suspicious user accounts and adversary-simulation tools. The analysis maps relevant behaviour to the MITRE ATT&CK framework and considers both technical findings and their evidential significance. The report therefore demonstrates practical competence in forensic acquisition principles, artefact analysis, timeline reconstruction, malware and process investigation, evidence correlation and professional reporting. Important for the Reference Library: this upload contains an actual student name on the cover page and detailed case evidence. Since your Reference Library says there is no student record behind uploaded past work, I would use the generic title and overview above rather than copying the student-identifying cover-page information into the public metadata. DF_Report_Sathiyaprakash
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Organisational Strategy and Sustainability
2,473 words
Strategic Evaluation of Hindustan Unilever Limited (HUL): Organisational Strategy and Sustainability
This 2,473-word MSc Management coursework for BPP University’s Organisational Strategy and Sustainability module examines the strategic, sustainability and leadership dimensions of Hindustan Unilever Limited (HUL). The report applies the module’s learning outcomes through four main areas: strategic environmental analysis, ethical and sustainable practice, evaluation of strategic options, and personal leadership and sustainability reflection. The assignment is structured around PESTEL and VRIO for strategic analysis, the Triple Bottom Line for sustainability evaluation, the Ansoff Matrix for strategic options, and Emotional Intelligence and Transformational Leadership for personal reflection. The first section evaluates HUL’s external and internal environment. PESTEL analysis considers political and legal requirements, economic pressures, social changes, technological developments and environmental risks. The report highlights issues including packaging regulation, extended producer responsibility, data privacy, commodity and energy volatility, rural–urban differences, AI-enabled operations, digital traceability, climate risk, water stress and packaging circularity. VRIO analysis then evaluates HUL’s purposeful brands and portfolio breadth, rural route-to-market, digital operations and analytics, and supplier development and sustainability governance as sources of competitive advantage. The second section assesses HUL’s ethical, sustainable and responsible practices through the Triple Bottom Line framework of People, Planet and Profit. The analysis considers workforce and community priorities, customer responsibility, renewable energy, emissions, water stewardship, waste and packaging, as well as productivity, efficiency, risk mitigation and sustainable growth. A specific packaging circularity transition is proposed, including design-for-recycling, post-consumer recycled content, lightweighting, refill and reuse pilots, collection partnerships and consumer education. The third section evaluates four strategic options using the Ansoff Matrix: urban refill and concentrate formats, rural assisted commerce through “Shakti 2.0”, an ingredient traceability platform, and precision revenue-growth management in quick-commerce. Each option is considered in relation to strategic fit, VRIO capabilities, risks, implementation actions, ownership and KPIs. The final section provides a first-person reflection on leadership and sustainability. It uses Goleman’s Emotional Intelligence and Transformational Leadership to examine learning from the strategic and sustainability analysis, including self-awareness, self-regulation, empathy, collaboration and evidence-based decision-making. It also presents a 90-day leadership development plan focused on decision briefs, stakeholder pre-mortems and a personal Triple Bottom Line checklist.
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Supply Chain Management / Strategic Sourcing
1,800 words
Strategic Sourcing and Supply Chain Resilience Under Global Uncertainty
This postgraduate supply-chain assessment examines how organisations operating in the UK are adapting their strategic sourcing and supply-chain practices in response to sustained global uncertainty. The assignment is situated within an environment shaped by major disruptions including the Covid-19 pandemic, geopolitical conflicts, trade tensions, tariff volatility and Brexit, all of which have challenged the reliability, cost efficiency and resilience of globally distributed supply networks. Students select either a British organisation or a multinational enterprise with significant UK operations and critically analyse its documented supply-chain strategy. Potential areas of investigation include insourcing and outsourcing, offshoring, reshoring and nearshoring, single versus multiple sourcing, supplier selection and monitoring, supplier and customer relationships, inventory management, digitalisation, sustainable sourcing and supply-chain risk management. The assessment requires more than description. Students must provide a critical and theoretically informed evaluation of the organisation's decisions, identifying both opportunities and risks associated with its strategic response. At least one relevant theoretical framework or analytical tool must be applied to assess the company's sourcing or supply-chain decisions. The analysis must also include at least one company practice or decision from 2025 and conclude with a detailed recommendation explaining actionable steps, implementation challenges, expected outcomes and alignment with organisational objectives. Research must draw on a minimum of 10 credible sources, including at least five academic journal articles and five non-academic sources such as news articles, industry reports or corporate publications. At least two of the non-academic sources must have been published during 2025–2026. Students may present the work as either a business report or academic essay, with consistent in-text citation and referencing. Norwich Business School normally requires the Harvard referencing system. Overview word count: approximately 340 words. Note: the document header states PG Coursework 2025–26, but one later line gives a submission deadline of 15 May 2025, which appears inconsistent with the stated academic year. I would therefore use 2025/26 for the library record and avoid publishing the deadline unless it is verified.
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Cyber Security / Digital Forensics
3,500 words
Digital Forensics Portfolio: Disk Image, Memory and Windows Registry Investigation
This Level 7 Digital Forensics portfolio requires students to conduct a structured forensic investigation across disk, memory and Windows Registry evidence. The assessment develops practical investigative skills alongside professional forensic reporting and requires students to preserve evidence integrity, document methodology, interpret technical artefacts and communicate findings clearly. The portfolio is equivalent to 3,500 words and forms 60% of the module assessment. The first part involves analysing a seized USB forensic image in the context of a suspected insider involved in video piracy and potentially more serious criminal activity. Students must follow ACPO digital forensic best practice, verify image integrity before and after examination, maintain a clear chain of custody, identify significant device properties and artefacts, and justify conclusions using evidence. Tools such as FTK Imager and Autopsy may be used, alongside other appropriate forensic utilities. The scenario also requires examination of an encrypted VeraCrypt container discovered within the evidence. The second part focuses on memory forensics using a Windows memory dump. Students are expected to reconstruct process execution timelines, examine suspicious processes including PowerShell, Notepad and AtomicService, identify process owners and SIDs, extract relevant memory artefacts and produce an executive summary suitable for a non-technical audience. The third part requires an extensive Windows Registry and system artefact investigation. Students examine operating-system information, users, network configuration, login activity, suspicious files, executable and DLL creation, BAM records, Prefetch artefacts, scheduled tasks, persistence mechanisms and evidence of potentially malicious activity. Findings must be supported with screenshots, extracted artefacts or other appropriate evidence. The assignment must use the university's official portfolio template and be submitted as a PDF. The template organises the work into forensic image analysis, memory investigation and Windows Registry investigation sections. For a public Reference Library entry, this title is better than simply “Digital Forensics Coursework” because it clearly communicates the three major technical components of the work.
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Operations and Supply Chain Management
1,800 words
Strategic Sourcing and Supply Chain Resilience Under Global Uncertainty — A Firm-Level Critical Evaluation
This type of postgraduate coursework asks students to take a single real firm — a British company, or a multinational with substantial UK operations — and critically evaluate how its sourcing and supply chain strategy has adapted to a decade of sustained disruption: the pandemic, geopolitical conflict, tariff volatility, and departure from the European single market. The analytical scope is broad but the depth expectation is narrow. Students choose one or two themes rather than surveying all of them: insourcing versus outsourcing and location decisions; single versus multi-sourcing across supplier segments or regions; how supplier selection and monitoring criteria have shifted toward reliability and geographic proximity; alignment between sourcing decisions and wider corporate objectives; supplier and customer relationship management under cross-border friction; inventory tactics such as stockpiling and safety stock repositioning; digital adoption for visibility and compliance; sustainable sourcing under cost pressure; or risk management around currency, customs and compliance. The evidence base is deliberately mixed. Alongside academic literature, students are expected to draw on annual reports, shareholder briefings, company statements, practitioner journals and recent news coverage — with a minimum spread of credible sources across both categories, and some of the non-academic material drawn from the most recent year so the analysis reflects current firm behaviour rather than historical commentary. At least one theoretical framework from the module or the wider literature must be applied to the firm's decisions, and at least one recent documented practice must be examined with specific sourcing. Two requirements distinguish strong submissions. The first is criticality: the brief explicitly separates evaluation from description, and marks weight critical analysis most heavily. Reporting what a firm did is not the task; assessing whether it was the right response, and what opportunities and risks it created, is. The second is the recommendation — at least one specific, actionable proposal with steps, anticipated obstacles, expected outcomes, and a clear line back to the firm's own stated goals. A generic suggestion to "diversify suppliers" fails this test; a costed, sequenced proposal grounded in the firm's actual constraints does not. Word-count conventions are stricter than students often expect: in-text references, tables, illustrations and front matter typically count, while appendices and the reference list do not. Our support on assessments of this type is guidance-based. Typical areas of help include: narrowing a firm and theme so the analysis fits the word limit, explaining the difference between description and critical evaluation with worked examples, clarifying how a theoretical framework should structure an argument rather than sit decoratively in a paragraph, checking source mix and Harvard referencing consistency, and reviewing a completed draft against the published assessment weightings.
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