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Engineering and Environment Advanced Practice London Campus Consultancy Project
5,000 words
Group Consultancy Report – Engineering and Environment Advanced Practice
This assessment is a group consultancy project for the LD7119 Engineering and Environment Advanced Practice London Campus Consultancy Project module at Northumbria University. Students work in consultancy groups of four to five members and are assigned a live project in collaboration with an organisation and the university. The purpose of the assessment is to investigate an organisational issue or requirement and develop practical, evidence-based solutions that can support the organisation in implementing improvements. The main assessment consists of a 5,000-word Group Consultancy Report and a compulsory 10-minute client presentation. The report is expected to demonstrate a professional and commercially appropriate approach to consultancy work. It should provide a clear introduction to the project, establish the organisational context, and analyse the business requirements and needs of the client organisation. The report should then explain the research methodology used, including appropriate ethical considerations and the design of the practical work undertaken. A substantial part of the assessment focuses on research, discussion and findings. Students are expected to collect and analyse relevant evidence, present their findings clearly, and provide evidence of practical implementation and testing where applicable. The assessment therefore requires students to connect academic research and relevant theories with practical consultancy activities and organisational requirements. Evidence from diagnostic tools, feedback and other appropriate sources can be incorporated into the report to support the analysis and conclusions. The final part of the report focuses on recommendations and improvements. Students should develop practical and actionable recommendations that are relevant to the organisation and can contribute to the successful implementation of the proposed ideas. Recommendations should be supported by the research findings and should demonstrate an understanding of the organisation's requirements and potential implementation considerations. The assessment is worth 50% of the total marks available for the module, which is assessed on a pass/fail basis. The report has a 5,000-word limit, excluding the table of contents, page numbers and captions for figures and tables. The client presentation is compulsory, although it does not have marks directly allocated to it; its purpose is to help the client and supervisor understand the consultancy project. The assessment is evaluated across professional and commercial presentation and introduction, business and requirement analysis, research methodology including ethics and practical work design, research and findings including implementation and testing, and recommendations including improvements. Students are also required to acknowledge sources appropriately and complete the assessment declaration regarding their work and any use of generative AI. The assessment brief states that AI may assist with activities such as improving grammar, structure, organising ideas and providing suggestions, but the main content, analysis and conclusions must remain the student's own work.
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Software Engineering / Enterprise Systems Development
3,000 words
Enterprise Software Engineering Development: ParkaLot Parking Management System Analysis, Design and Prototype
This Enterprise Software Engineering Development assessment is based on the ParkaLot Group, a fictional operator of multi-storey parking garages across major UK cities. The organisation currently relies on fragmented manual processes, basic barrier-based vehicle counting, local spreadsheets, on-site payment and inconsistent customer access arrangements. Students act as software engineering consultants and are required to analyse these operational weaknesses and design a centralised enterprise parking management system capable of supporting reservations, customer accounts, vehicle identification, billing, real-time occupancy monitoring, dynamic pricing and management reporting. COMP1471 CW 2526 The proposed ParkaLot platform is intended to integrate customers, parking spaces, reservations and billing across the garage network. Planned functionality includes online registration and reservation, recurring and corporate parking arrangements, licence-plate recognition, automated space allocation, sensor-based occupancy tracking, centralised monthly billing, electronic payments, promotional pricing and predictive overbooking. The system must also provide dashboards and historical reporting to assist management with capacity planning, staffing, pricing and operational decision-making. COMP1471 CW 2526 The coursework is completed in two main development phases. Phase 1 – Structured Analysis and Design requires an Entity Relationship Diagram representing the logical data model, a Data Flow Diagram including a Level 0 context diagram, and implementation of a prototype database. Phase 2 – Object-Oriented Development extends the system using object-oriented analysis, design principles and UML, with substantial business and user-interface functionality implemented using suitable OO technologies. COMP1471 CW 2526 The final report contains analysis of the 5 Ps of software engineering: Problem, Process, Project, Product and People. Students discuss the business problem and commercial risks, justify the development methodology followed, define resources and budget, document project artefacts and requirements, and identify the main stakeholders involved in the project. The technical design section includes the ERD, DFD, UML use-case model, at least three sequence diagrams, a detailed class diagram and discussion of design patterns. COMP1471 CW 2526 Students must additionally submit a functioning prototype that reflects the design and participate in acceptance testing and a live demonstration. Individual students are questioned on both theoretical and technical aspects of the submitted system. The assessment also evaluates group contribution, peer and self-assessment, personal reflection, research quality, communication and professional teamwork. COMP1471 CW 2526 The weighting places substantial emphasis on technical design and implementation: the UML design is worth 24 marks, the software prototype 15 marks, design patterns 6 marks, and acceptance testing/demonstration 25 marks. This makes the coursework strongly focused on demonstrating the relationship between requirements analysis, software architecture, UML modelling, implementation quality and working enterprise-system functionality. COMP1471 CW 2526
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Systems Analysis and Design
Systems Analysis and Design with UML – Individual Systems Design Assignment
This individual assignment forms Part 2 of the Systems Analysis and Design with UML assessment and contributes 50% of the overall module weighting. The uploaded guidance indicates that this component should continue directly from work completed in Part 1, meaning that the analysis and design developed previously should provide the foundation for the second-stage submission. The assignment is centred on the principles and practices of systems analysis and design using the Unified Modeling Language (UML). It is intended to demonstrate the application of structured analytical thinking and modelling techniques to the development or refinement of an information-system solution. Because Part 2 follows an earlier assessment component, continuity between the original problem definition, requirements and subsequent design work is likely to be an important aspect of the submission. Relevant areas may include requirements representation, system modelling, process and interaction analysis, object-oriented design and the use of appropriate UML artefacts to communicate system structure and behaviour. The work should therefore demonstrate how analytical findings are translated into coherent design decisions while maintaining alignment with the system requirements established during the earlier project stage. The assessment is individual and therefore should demonstrate independent understanding of the selected system, its requirements and the rationale underlying the proposed design. The uploaded summary confirms that this component is worth 50% of the module and has a submission deadline of 15 May 2026 at 17:00 GMT. Note: the actual detailed Part 2 brief is not contained in this uploaded summary, so specific UML diagrams, required sections, word count and marking criteria cannot be confirmed from this document alone. Entry 2 — Intelligent User Interfaces Part 1 Field Content to enter Title Smart Study Student Assistant: Intelligent User Interface Prototype University Not specified in the uploaded guideline Subject Intelligent User Interfaces / Human-Computer Interaction Module name Intelligent User Interfaces Academic level Not specified Academic year Not specified Assignment type Presentations and Academic Posters Reference style Not specified Word count Not applicable – maximum 10-minute pre-recorded prototype presentation Amount (₹) Enter your internal project amount Key topics Intelligent User Interfaces, Human-Computer Interaction, Smart Study Assistant, Student Productivity, Adaptive Interfaces, Personalised Learning, Study Planning, Question Generation, Low-Fidelity Prototyping, User-Centred Design, User Behaviour, Learning Progress, Educational Technology, UX Design, Personalisation Assignment overview This project prototype forms Part 1 of Intelligent User Interfaces and contributes 60% of the final module mark. The assessment requires a project prototype supported by a pre-recorded presentation of no more than ten minutes. The selected project concept is a Smart Study Student Assistant, positioned within education and student-productivity technology. The proposed system is an adaptive study-planning and note-based question-generation interface. Its purpose is to help students organise academic work by combining uploaded study notes, deadlines and information about user behaviour to generate personalised study plans and learning questions. The project addresses common problems including scattered study materials, missed deadlines, unclear schedules and the lack of personalised guidance on how and when students should study. The guidance specifically states that the solution should not be unnecessarily advanced. Instead, the design should focus on how the interface will be useful to different types of users. Low-fidelity material and supporting notes are also required, indicating that the project should demonstrate user-centred design thinking rather than focusing solely on technical sophistication. The intended goal is to provide personalised study plans, questions and guidance based on the student's notes and deadlines, supporting more consistent study habits and improved organisation. Tutor feedback describes the concept as relevant and well motivated but identifies one important weakness: the system's intelligent behaviour is currently under-specified. The tutor specifically recommends clarifying how study plans and question generation adapt according to user behaviour or learning progress. Accordingly, the prototype should communicate both the interface design and the adaptive logic that makes the system genuinely intelligent and user-centred. Entry 3 — Intelligent User Interfaces Part 2 Field Content to enter Title Intelligent User Interfaces – Individual Essay University Not specified in the uploaded guideline Subject Intelligent User Interfaces / Human-Computer Interaction Module name Intelligent User Interfaces Academic level Not specified Academic year Not specified Assignment type MS Essays Reference style Not specified Word count Not specified Amount (₹) Enter your internal project amount Key topics Intelligent User Interfaces, Human-Computer Interaction, Adaptive Interfaces, User-Centred Design, Intelligent Systems, Personalisation, User Experience, Educational Technology, Interaction Design, AI Interfaces Assignment overview This individual essay forms Part 2 of the Intelligent User Interfaces module and contributes 40% of the final module mark. The uploaded guidance identifies the submission deadline as 21 May 2026 at 16:00. The assessment belongs to the same Intelligent User Interfaces module as the Part 1 prototype project. The broader module context therefore concerns the design and evaluation of interfaces that use intelligent or adaptive behaviour to improve interaction between users and digital systems. Relevant considerations may include personalisation, adaptive interaction, usability, human-computer interaction, user behaviour and the responsible design of intelligent systems. However, the uploaded summary does not contain the actual Part 2 assessment brief, essay question, required word count, marking criteria or prescribed topic. It only confirms that the assessment is an individual essay worth 40% of the final mark. For that reason, the Reference Library overview should remain general rather than claiming that Part 2 specifically assesses the Smart Study Student Assistant. If the Part 2 essay is intended to continue or evaluate the Part 1 prototype, that relationship should only be added once the actual Part 2 assessment brief confirms it. The current document explicitly provides the Smart Study Student Assistant instructions under Subject 2, while no corresponding topic instructions are shown for Subject 3. So for Entry 3, I would keep the title and overview generic until the actual KV7005 Part 2 brief is uploaded.
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Computing / Artificial Intelligence / Digital Transformation / Management Consultancy
7,000 words
AI Readiness and Programme Adoption Strategy for the NewFutures: AI Programme at Northumbria University London
This postgraduate consultancy project focuses on developing an AI readiness, skills-development and programme-adoption strategy for students and recent alumni at Northumbria University London. The project supports the university’s participation in NewFutures: AI, a funded AI skills and career-readiness programme offering a four-week online course covering responsible AI foundations and specialist pathways in Marketing and Communications, Finance and Accounting, Business Operations and Logistics, Administration, and ICT and Technical Support. The central consultancy challenge is to understand the AI literacy, confidence, readiness and training needs of Northumbria University London students and alumni and translate that evidence into a practical implementation and outreach strategy. The client aims to reach approximately 12,000 students and recent alumni and support a target of 6,000 LMS registrations during the 2026–2027 programme period. The project requires primary and secondary research into AI readiness, demand for different AI-skilling pathways and barriers to participation such as awareness, time, perceived value and accessibility. The consultancy team is also expected to benchmark comparable initiatives and use research evidence to develop recommendations appropriate to different academic disciplines and student and alumni groups. The implementation component focuses on designing an evidence-based outreach and adoption campaign, including appropriate communication channels, messaging, timing, incentives, faculty engagement and stakeholder participation. Recommended channels may include email campaigns, newsletters, social media, student services, events, learning platforms and alumni communications. The project also requires an implementation timeline and indicative budget for the 2026–2027 programme period. The wider assessment develops professional consultancy capability through business and requirements analysis, research methodology, ethical research practice, practical implementation, testing and strategic recommendations. The project charter additionally establishes milestones for research design, data collection, analysis, report development, review and presentation, together with defined responsibilities for project management, data analysis, AI expertise and stakeholder communication. The individual component complements the consultancy work through critical reflection on personal contribution, skills development, decision-making, problem-solving, communication, collaboration, technical capability, innovation and continuous professional development.
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