COMP-1 Investigate and specify a substantial problem in the domain of study, place it in the context of related work and produce a plan to address this problem.

Assignment Specification

School of Computer and Engineering Sciences

Module Code SE7200

Module Title

Research Dissertation

Assessment No

2 of 3

Weighting

20%

Title

Progress Presentation

In-Year Reassessment Offered

No

Generative AI

Not Allowed

Summary

This brief contains the instructions, guidelines, and tasks for the Progress Presentation of the Research Dissertation (SE7200) module.

Presentation Date 24 November 2025

7-day Submission Window Not Allowed

Feedback Due

20 December

2025

Instructions 

You should prepare and present a presentation, in accordance with the time limit provided, highlighting the following aspects of your research dissertation:

  • Key background information: You should include pertinent background information about your project.
    • Project Progress: With reference to the Project Proposal submitted earlier, you should discuss the progress made till the time of this assessment towards the successful completion of your dissertation. This could include (but is not limited to) the literature review undertaken, identification of a suitable methodology, data collection (if required), etc. This should also include the task(s)/activities that you have completed till now.
    • Project Plan: You may also want to include a revised project schedule diagram if your project activity timeline has been modified during the course of your research work

Word/Time limit and guidance on presentation

  1. Your presentation should not exceed 10 minutes.
  2. Students are required to present online via MS-Teams

The MS-Teams meeting link, and the presentation timeslots have already been sent via email on 2G October 2025.

Specifically, for this coursework component, the presentation should demonstrate:

  • Clear understanding of the background of, and the methodology to be adopted for, the dissertation.
  • Evidence of completion of the in-depth literature review. This may include reading of pertinent journal and conference papers, books, and use of other resources including supporting evidence from current or past projects.
  • Evidence of tangible progress in the research work in alignment with the chosen title.
  • High quality of communication skills and overall presentation including correct referencing.
  • Gantt Chart(s) as submitted in the Project Proposal, and any updated version with adjustments to the timeline of the activities if felt necessary during the course of the research work.

Detailed marking rubrics are included on Page-3.

Additional Information

Learning Outcomes Assessed

COMP-1 Investigate and specify a substantial problem in the domain of study, place it in the context of related work and produce a plan to address this problem.

Assessment Support

Students can get support on this module by speaking to the assigned Dissertation Supervisor, or to the module tutor (Mohammad Samar Ansari) preferably in classroom sessions, or by emailing (m.ansari@chester.ac.uk), or by booking a 1-2-1 meeting online.

Submission Window, Exceptional Circumstances, and Assessment Regulations

You are expected to submit work by the submission date specified at the start of the assignment specification. Some assignments may support a 7-day window in which students can submit work late without penalty and this will be specified below the submission date at the start of this brief. Any work submitted outside of the submission date (or submission window where allowed) will be given a mark of zero.

You can find details about what you need to do if you are unable to submit the assessment on time on the Registry Services Exceptional Circumstances Portal page. Any deferral request must be submitted online within 7-days of the final submission date (or submission window where allowed). In all cases, evidence will be required to support the deferral.

Deadline for applying for a deferral to the next assessment point1: 1 December 2025

You can find out more about University regulations related to assessment on the Registry Services Assessment Regulations page.

Academic Conduct

The University Academic Conduct Policy explains how students are expected to take responsibility for the fair presentation of the contents of any work they present for assessment. This includes acknowledging the use of Artificial Intelligence tools. Breaching the academic conduct policy can have serious penalties.

The material you submit must be your own work. You must not collude with your peers on your work unless the brief explicitly allows this (such as in the case of group work). Further information is available below

All sources used must be cited and referenced using the APA format. Guidance on how to cite and reference sources can be found in the Cite Them Right Online guidance (sign in with your University network account)

Generative AI

The use of generative AI tools where not permitted will be treated as a breach of the academic conduct policy. You may not use AI tools for this assessment.

AI tools include, but are not limited to, ChatGPT, Gemini, Copilot, Grok, DeepSeek, Midjourney, and other similar Generative AI tools and chatbots.

 

 The deadline for applying for a deferral for the next assessment point is 7 days after the deadline or 7 days after the 7-day window (where permitted)

Assessment Criteria 

Assignment

Task (LOs Covered)

Fail (<50%)

Pass (50–5G%)

Merit (60–6G%)

Distinction

(≥70%)

Background C Context

Background information unclear or unrelated; minimal understanding of research topic; lacks connection to

dissertation aims.

Some relevant background provided; shows limited understanding of topic or research context; partial alignment with dissertation aims.

Clear and relevant background; demonstrates good understanding of the research context and rationale; logical alignment with aims.

Comprehensive and well-contextualized background; excellent understanding of the research significance; strong justification of topic relevance and

originality.

Progress C Preliminary Work

No or minimal evidence of progress; lacks discussion of completed activities; unclear what has been achieved.

Some progress described but lacks depth or critical reflection; partial completion of planned tasks; vague discussion of outcomes.

Substantial progress evident; key activities (e.g., literature review, methodology design) discussed clearly; appropriate reflection on

outcomes.

Excellent evidence of progress and achievement; clear linkage between proposal and current work; demonstrates initiative and insight in

problem-solving.

Preliminary Literature Review

Minimal or no engagement with literature; descriptive with no analysis; referencing missing or inaccurate.

Some engagement with relevant literature; limited critical evaluation; referencing mostly consistent.

Good range of relevant and recent sources; emerging critical synthesis; accurate referencing throughout.

Extensive, current, and well-synthesized literature; excellent critical insight; highly relevant scholarly engagement; impeccable

referencing.

Methodology C Research Design

Methodology unclear, inappropriate, or missing; limited understanding of research process.

Some aspects of methodology described; partially appropriate or underdeveloped; lacks detail.

Clear and coherent methodology; appropriate research design; methods justified with sound reasoning.

Rigorous, innovative methodology; strong justification and reflection on choices; demonstrates critical awareness of limitations and

alternatives.

Project Plan / Gantt Chart

No project plan or timeline; unrealistic or missing milestones; lacks feasibility.

Basic project plan provided; limited structure or realism; partial feasibility.

Logical and well- organized plan; feasible timescales and milestones; clear linkage to methodology.

Detailed, professional schedule (e.g., Gantt chart) with insightful adjustments; highly feasible and well- integrated with

dissertation objectives.

Presentation C Communication

Poorly structured; unclear delivery; frequent errors in slides or speech; low engagement; referencing absent.

Adequate structure and delivery; some clarity but limited confidence or style; referencing attempted.

Clear and confident delivery; well- structured slides; appropriate academic tone; referencing accurate.

Highly professional and engaging presentation; excellent clarity, flow, and timing; confident delivery; impeccable referencing and visual

quality.

Use of AI Tools (Declaration)

No declaration or evidence of inappropriate use; lacks transparency about AI assistance.

Minimal declaration provided; unclear or incomplete justification of AI use.

Transparent and appropriate declaration of limited AI use for planning; conforms to

guidance.

Fully transparent and reflective AI declaration; demonstrates responsible and ethical use consistent with

university policy.

 

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