辅导 ENGI 45560 MSc Research and Development Project: Group Presentation 2024-2025调试SPSS

Title:

MSc Research and Development Project: Group Presentation (Formative)

Time Required:

It is expected that you should spend approximately 20 hours.

Deadline(s) for submission:

Oral Presentation: last supervision meeting in the Epipihany term.

Submission of Presentation: Monday 24 March 2025, 14:00.

Date for feedback:

Verbal feedback during meeting.

Submission instructions:

Presentation to be submitted to Learn Ultra by the deadline given above.

Format:

Each group will make a presentation of their work to their tutor(s) during the session (see above).  After the general presentation covering the overarching research area, each student discusses their proposed individual projects.

Students must attend these sessions as scheduled.

Presentations to be saved in pdf format only.

Penalties for non-compliance:

N/A

Late submission:

Due to the timetabled nature of these sessions, it is not possible to accept late submissions. Any delays or other issues should be reported to the

Engineering Learning and Teaching team as they arise.

Academic Integrity Guidance:

The Department of Engineering considers any attempt by a student to gain an unfair academic advantage through engaging in acts of academic

misconduct ultimately diminishes the value of the degree sought and

indicates a fundamental dishonestly which disrespects members of the

learning community in the department. All potential incidents of suspected

academic dishonesty shall be thoroughly investigated in accordance with the

Learning and Teaching Handbook, Section 6.2.4: Academic Misconduct (sharepoint.com).

Use of Generative AI

Use of generative AI (gAI) and related technologies is only permitted for

improving the readability of text and improving the efficiency of computer

code. Use of generative AI (gAI) and related technologies should be

compliant with our policy document entitled "Student Guidance on the Use of Generative Artificial Intelligence and Related Technology for the Department of Engineering". Any use of gAI or related technologies should be detailed in an acknowledgement section within your coursework submission document.

AHEP Learning Outcomes Assessed:

The Engineering Council sets the overall requirements for the Accreditation of Higher Education Programmes (AHEP) in engineering, in line with the UK

Standard for Professional Engineering Competence (UK-SPEC).

This assignment has been designed to assess the following AHEP Learning Outcomes:

M1.  Apply a comprehensive knowledge of mathematics, statistics, natural science and engineering principles to the solution of complex problems.

M2.  Formulate and analyse complex problems to reach substantiated conclusions.

M3.  Select and apply appropriate computational and analytical techniques to model complex problems, discussing the limitations of the techniques employed

M4.  Select and critically evaluate technical literature and other sources of information to solve complex problems.

M16. Function effectively as an individual, and as a member or leader of a team. Evaluate effectiveness of own and team performance.

M17.  Communicate effectively on complex engineering matters with

technical and non-technical audiences, evaluating the effectiveness of the methods used.

Instructions to Candidates:

A short oral presentation will be carried out in the last session of Epiphany term. More specific details will be provided during the tutorial sessions.

Presentations to be saved in pdf format and uploaded to Learn Ultra by the deadline, Monday 24 March 2025.

Questions relating to submission arrangements should be directed to:

[email protected].

Questions relating to the assignment should be directed to: Your Project Supervisor or Dr Stefano Giani[email protected].

Revision: