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Network Systems and Administration
2,500 words
Automated Container Deployment and Administration in the Cloud
This assessment focuses on the practical application of network systems administration, cloud infrastructure and automation technologies. The assignment requires students to design and implement an automated deployment process for a server running a Docker container on a cloud platform such as AWS, Azure or GCP. The assessment develops practical understanding of infrastructure automation, configuration management, containerisation and continuous integration and continuous deployment (CI/CD). The project requires the integration of at least two automation tools from technologies such as Terraform, AWS CloudFormation, Ansible, Azure DevOps, GitHub and GitHub Actions. The first stage involves provisioning the required cloud infrastructure, including a server instance, networking components and appropriate security configurations. Students must provide Terraform scripts, CloudFormation templates or equivalent infrastructure-as-code configurations together with an architecture diagram showing the deployed resources. The second stage focuses on configuration management. Ansible or an equivalent automation tool is used to configure the server environment, including installing and configuring Docker and ensuring that the required services start automatically. Students must provide the relevant playbooks or configuration scripts and a README explaining the overall automation flow. The assessment then requires students to containerise a sample web application using a Dockerfile and automate the deployment of the resulting Docker container to the provisioned cloud server. A CI/CD pipeline must also be implemented using Azure DevOps or another suitable CI/CD platform. The pipeline should automatically build and deploy the Docker container whenever changes are pushed to a version-control repository such as GitHub. The final stage requires comprehensive technical documentation and reflection on the complete automation process. Students must document the different phases of deployment, explain the rationale for the selected tools, discuss alternative solutions and identify the challenges encountered and how they were addressed. The final report must include a detailed architecture diagram, a GitHub repository containing the required scripts and configurations, and a working link to a demonstration video of the end-to-end deployment. The technical report should be approximately 2,000–2,500 words and include a title page, summary, introduction, main content, conclusions, references and appropriate appendices. The report should use Times New Roman 12-point font with 1.5 line spacing, clear headings, diagrams or flowcharts where appropriate, and Harvard referencing. The assessment is evaluated through the demonstration, report quality and reusable deployment artifacts, with the marking scheme allocating 40% to the demo, 50% to report quality and 10% to artifacts.
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Digital Marketing / Marketing Analytics / Data-Driven Marketin
Data-Driven Marketing Analytics: Google Analytics 4 and Google Merchandise Store Campaign Analysis
This Data Driven Marketing assessment requires students to develop practical digital analytics skills and apply them to the evaluation of a real-world marketing campaign. The assessment combines professional training through LinkedIn Learning with a recorded executive-level presentation based on data from the Google Analytics 4 Demo Account for the Google Merchandise Store. The aim is to analyse campaign performance, interpret relevant marketing KPIs and present actionable recommendations that senior executives and managers can use for decision-making. CW 1_ LinkedIn Learning and Rec… The first task requires completion of two LinkedIn Learning courses: Google Analytics 4 (GA4) Essential Training and Advanced Google Analytics. Students must submit the certificates of completion as evidence of developing the foundational and advanced skills required for digital marketing analysis. CW 1_ LinkedIn Learning and Rec… The second task places the student in the role of a digital marketing executive for the Google Merchandise Store. Students select and analyse a digital marketing campaign using GA4 demo-store data and then create a 10-minute recorded presentation, with a tolerance of ±2 minutes, providing evidence-based recommendations for improving campaign performance. CW 1_ LinkedIn Learning and Rec… The main presentation is limited to 12 slides and should include an executive summary, key findings and insights, recommendations, actionable steps, and references or appendix material. An additional 4–6 appendix/reference slides may be used for supporting charts, graphs and data. Recommendations must be linked directly to analytical evidence and aligned with the campaign's overall marketing objectives. CW 1_ LinkedIn Learning and Rec… The analysis should examine relevant marketing performance indicators, including click-through rate, conversion rate, cost per acquisition, return on ad spend and user-engagement measures such as bounce rate, session duration, pages per session and retention patterns. CW 1_ LinkedIn Learning and Rec… Students are expected to move beyond descriptive reporting and develop strategic recommendations concerning budget reallocation, creative optimisation, audience targeting and funnel performance. The presentation should identify underperforming and high-performing channels, evaluate audience segments, examine points of user drop-off and propose practical interventions to improve conversion and campaign efficiency. CW 1_ LinkedIn Learning and Rec… The marking scheme gives 20 points for LinkedIn Learning certification, 35 points for executive communication and structure, 35 points for data analysis and insight generation, and 10 points for references and appendices. CW 1_ LinkedIn Learning and Rec… CW 1_ LinkedIn Learning and Rec… Overall, the assessment integrates GA4 skills, campaign analytics, KPI interpretation, data visualisation, strategic recommendation development and executive presentation skills within a practical digital-marketing context. The brief also requires Cite Them Right Harvard referencing. CW 1_ LinkedIn Learning and Rec…
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Project Management / Professional Development / Business Strategy
5,000 words
Professional Project Portfolio and Strategic Business Presentation
This Level 7 assessment requires students to compile a comprehensive Portfolio of Evidence demonstrating their project contribution, reflective learning, professional skills and career development. The portfolio has a maximum length of 5,000 words and is designed to evidence both technical or disciplinary project engagement and the student’s development as a reflective professional. The assessment is organised into three main components: a Discipline Report, Project Work Logbook, and Career Development Plan. Assessment Overview The Discipline Report, worth 40% of the portfolio, provides an overview of the project and its conclusions, alongside a self-reflection on the student’s project experience. Students also complete a personal skills analysis and provide a confidential summary of their team’s delivery. This section therefore combines project understanding with critical self-evaluation, skills awareness and evaluation of collaborative performance. Assessment Overview The Project Work Logbook, worth 30%, records the student’s activities on a weekly basis. Students summarise the work completed each week and document problems or challenges encountered during the project together with the approaches used to resolve them. The marking criteria emphasise consistency, level of detail, organisation and the ability to identify and address project-related difficulties. Assessment Overview Assessment Overview The Career Development Plan, also worth 30%, requires students to define a realistic future career pathway, identify relevant jobs and organisations, and evaluate the skills and knowledge needed to progress toward those goals. Students must also complete an additional professional-development course, such as CPD or LinkedIn Learning, to demonstrate practical upskilling and continued professional development. Assessment Overview A related team presentation forms a second assessment activity. Teams of four to five students must present face to face for approximately 10–15 minutes to a small management-board audience. All team members are expected to contribute approximately equal content and speaking time, with provision for questions and answers. The presentation focuses on the team’s overall findings, analysis of the business problem, practical recommendations, proposed implementation approach and final conclusion. assessment Overview 1 Strong presentations are expected to be engaging, professionally structured and supported by relevant evidence, graphics, tables and other appropriate visual material. Higher-level work should move beyond description by applying theory critically to a real-world business problem, recognising the limitations and contextual applicability of theoretical concepts and producing recommendations that are appropriate to the organisation being analysed. assessment Overview 1 Overall, the assessment develops and evaluates project reflection, professional communication, teamwork, career planning, critical analysis, employability, problem solving and evidence-based business recommendation skills. It combines an individual reflective portfolio with a collaborative management-style presentation, allowing students to demonstrate both personal development and the ability to communicate project findings professionally.
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Computer Networks / Network Security / Cloud and Software Defined Networking
3,500 words
Network Systems and Security: Ad Hoc, Cloud and Software Defined Networking Emulation
This Network Systems and Security coursework requires students to design, implement and critically evaluate a series of practical network-emulation environments covering wireless Ad Hoc networking, cloud services and Software Defined Networking (SDN). The project combines Python-based network configuration with practical connectivity testing, cloud deployment, controller-based networking and theoretical evaluation of contemporary network-security technologies. The first task involves designing an Ad Hoc wireless network representing an emergency-response scenario. Students configure at least three wireless stations using Mininet-WiFi, assign appropriate network parameters and demonstrate connectivity through ICMP communication. The task requires discussion of the design and implementation together with the Python script used to configure the emulated environment. 7COM1076+ref+def+CW+2025+26+ The second task focuses on cloud-service emulation. Students develop a simple static website, deploy it through Render.com and GitHub, and access the hosted service from a Mininet-emulated network. Required evidence includes the Python implementation, cloud configuration screenshots, commands used to provide internet connectivity, webpage access through an xterm environment and the associated HTML code. 7COM1076+ref+def+CW+2025+26+ The third practical component examines Software Defined Networking using the ONOS controller. Students construct an emulated topology containing hosts, servers and programmable switches, demonstrate complete ICMP connectivity and perform a TCP transmission lasting 600 seconds. Evidence must include the network-emulation script, ONOS graphical interface and connectivity results. 7COM1076+ref+def+CW+2025+26+ The final analytical section critically evaluates whether Software Defined Networking and Network Functions Virtualisation (NFV) complement one another and examines security algorithms used within cloud computing. Students compare two selected cryptographic approaches, evaluating their respective advantages and disadvantages. 7COM1076+ref+def+CW+2025+26+ Overall, the coursework integrates network modelling, wireless networking, cloud deployment, SDN control, Python scripting, connectivity testing and security analysis. The marking scheme gives substantial weight to system modelling, cloud and SDN implementation, ICMP/TCP functionality, technical analysis and overall report quality. 7COM1076+ref+def+CW+2025+26+
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Networking and Security Practice
Networking and Security Practice – Recorded Demonstration
This assessment for the MSc Cyber Security module Networking and Security Practice is a practical recorded-demonstration coursework designed to assess students' ability to configure, secure, troubleshoot and monitor a virtualised sandbox network. The assessment contributes 60% of the module mark and consists of four recorded demonstration videos, with each video limited to a maximum of five minutes. The completed videos are submitted through a Moodle quiz as video files or accessible links. The practical environment uses virtual machines running Ubuntu Server and Ubuntu Desktop on VirtualBox or UTM. Students deploy a four-machine architecture consisting of a Gateway, Webserver, Workstation and Zabbix-Server. The Gateway acts as the router, firewall and NAT gateway; the Webserver hosts an Nginx web server; the Workstation is used for administration and testing; and the Zabbix-Server provides network monitoring. The architecture requires appropriate network interfaces, IP addresses, routing and communication between the different internal networks. The coursework develops practical networking and system administration skills through several phases. Students install and configure operating systems, allocate virtual machine resources, configure static IP addresses, enable IP forwarding and NAT masquerading, and implement firewall rules using iptables. They also develop command-line proficiency using networking, DNS, security, remote-access and web tools including ping, traceroute, ss, nslookup, dig, nmap, Wireshark, netcat, SSH, SCP, rsync, curl and wget. Students must also configure secure remote access and deploy an Nginx web server. SSH must be hardened by disabling password authentication and root login, while key-based authentication is used for secure access. The Webserver must contain a customised landing page showing the student's name and student ID, which is accessed from the Workstation. The monitoring component requires installation and configuration of Zabbix, deployment of agents across the virtual machines, host monitoring, a customised dashboard containing at least five live-data widgets and configured alerts or triggers. Students must explain what their selected monitoring elements measure and why they are operationally useful. The traffic-analysis component uses Wireshark to capture and examine HTTP, ICMP and DNS traffic. Students apply appropriate filters, identify protocols using the Protocol Hierarchy and discuss the security implications of unencrypted HTTP traffic, including secure alternatives such as HTTPS and DNS over TLS. The security-evaluation component uses Nmap within the isolated virtualised sandbox to identify open ports and services, assess vulnerabilities and recommend mitigations. Students must also demonstrate iptables forwarding and NAT masquerading rules. The four videos cover Network Infrastructure, Network Monitoring, Traffic Analysis and Security Evaluation. The assessment is marked out of 100, with 35 marks allocated to Network Infrastructure, 25 to Network Monitoring, 20 to Traffic Analysis and 20 to Security Evaluation. Students are expected to provide clear voice narration, explain commands and outputs, demonstrate technical understanding and critically relate their work to network security. The assessment develops employability skills in Linux administration, remote system management, network troubleshooting, security hardening, packet analysis, port and service scanning, virtualisation and network monitoring. It also requires students to conduct security testing ethically within their own isolated virtualised environment and prohibits unauthorised scanning of university networks, public websites or other systems.
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Computer Networks and Network Engineering
3,500 words
Wireless, Cloud and Software Defined Networking: Network Modelling, Emulation and Evaluation
This technical networking assignment focuses on the design, implementation, emulation and evaluation of wireless, cloud and Software Defined Networking environments. It combines practical network modelling with analytical discussion and requires students to demonstrate their understanding of modern networking architectures through Mininet-WiFi, Mininet, cloud deployment technologies and an ONOS Software Defined Networking controller. The first task involves creating an ad-hoc wireless network for an emergency-response scenario. A minimum of three wireless stations must be configured using specified parameters such as transmission range, antenna height, antenna gain, SSID and wireless capabilities. Students are required to explain the network design and implementation, provide the Python configuration script used with Mininet-WiFi, and demonstrate connectivity using ICMP communication between appropriate stations. The second task examines cloud-service emulation. Students must construct a Mininet topology containing a switch and two hosts and deploy a simple static website using Render.com. The task requires evidence of cloud configuration, GitHub repository integration, commands used to provide internet access to the emulated host, webpage access through Xterm, screenshots of the resulting webpage and the associated HTML code. The third task addresses Software Defined Networking (SDN). Students create an emulated environment involving three hosts and three servers, implement the required network topology and use the ONOS controller to provide control-plane programmability. Evidence must include the Python emulation script, ONOS GUI output, host-to-server connectivity testing and TCP transmission testing. The final analytical component requires students to critically evaluate the relationship between Software Defined Networking and Network Functions Virtualisation (NFV) and assess security algorithms used in cloud computing, including a comparison of the advantages and disadvantages of two selected algorithms. The coursework therefore integrates practical network configuration, connectivity testing, cloud deployment, programmable networking and academically referenced technical evaluation. Overview word count: approximately 335 words. Important: the brief explicitly states that AI-generated report or code content is prohibited, so this Reference Library description should be treated only as catalogue/metadata content, not as coursework material for submission.
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People Practice / Human Resource Management
2,000 words
Core Behaviours for People Professionals: Ethics, Professional Values and CPD
This CIPD Level 3 assessment focuses on the core behaviours expected of people professionals, with particular emphasis on ethical practice, professional values, inclusive behaviour and continuing professional development. The unit considers behaviours that people professionals should apply consistently, including when working in unfamiliar or challenging situations, to support ethical, inclusive and professionally responsible workplaces. The assessment is structured around a job-application scenario for an HR/L&D Assistant position at Nuvascare Ltd, a home-based care organisation employing more than 200 care professionals. Nuvascare emphasises honesty, kindness, openness, teamwork, learning and ethical professional behaviour, and candidates are therefore required to demonstrate how their own experience aligns with these expectations. Learners respond to five areas of assessment. They must explain ethical principles and professional values and provide an example demonstrating how a personal or professional value has influenced behaviour. They must also provide examples of complying with relevant regulation and law in a professional or educational context. The assessment additionally examines behaviours associated with effective teamwork, including contributing views, clarifying problems and working collaboratively with others. Learners then explain how they keep their professional knowledge current and identify methods used to follow developments within the people profession. The final component requires evidence of active continuing professional development (CPD). Learners provide a CPD record containing at least two recent development activities and reflect on how these activities affected their knowledge, capability or professional practice. Written responses to Questions 1–4 should total approximately 2,000 words ±10%. The CPD record is submitted as additional evidence and is excluded from the word count.
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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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Quality Engineering / Manufacturing Engineering / Statistical Quality Contro
2,500 words
Advanced Quality Engineering: Gauge R&R, Process Capability and Statistical Process Control Analysis
This Advanced Quality Engineering coursework requires students to apply quantitative quality-management techniques to a realistic manufacturing scenario involving the production of precision components. The assessment combines measurement system analysis, process capability evaluation and Statistical Process Control (SPC) to determine whether measurement and manufacturing processes are sufficiently reliable and capable of meeting specified engineering requirements. The first stage focuses on Gauge Repeatability and Reproducibility (Gauge R&R). Students are provided with measurements from ten components, with each component measured twice by two different operators. Using the supplied data and the module's Gauge R&R calculator, students must assess whether the measurement system is capable of evaluating a critical component dimension specified between 115 mm and 116 mm. This section tests the ability to evaluate measurement variation and determine the suitability of a measuring system for quality-control purposes. The second task requires comparison of two CNC machining processes. Historical batch measurements from a Honzaki CNC vertical milling machine are compared with measurements from a replacement Kawda CNC vertical milling machine. Students must calculate the Cp and Cpk process capability indices for both processes, interpret the results and determine which process is better suited to producing components within specification. Recommendations for process improvement and responsibility for corrective action must also be considered. The final task applies Statistical Process Control. Students must construct appropriate X-bar and R control charts, calculate the relevant control limits, plot process performance and investigate potential out-of-control conditions to identify differences between components produced by the two machines. Supporting module material emphasises the distinction between common and special causes of variation, interpretation of abnormal control-chart patterns, process capability and the use of SPC as a feedback mechanism for preventing defective output and improving manufacturing quality. Reference style: keep this as Not specified in the portal. The handbook requires external material to be properly acknowledged, but the uploaded guideline does not prescribe Harvard, APA, IEEE or another named referencing system.
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