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CS 540: Introduction to Artificial Intelligence
File types and method of recording: Narrated PowerPoint, Recorded Video
Mark and Feedback date : tbc
Mark and Feedback method: Completed rubric and additional feedback via Aula
Module Learning Outcomes Assessed:
B4: DATA SCIENCE: work with (potentially large) datasets; using appropriate storage technology; applying statistical analysis to draw meaningful conclusions; and using modern machine learning tools to discover hidden patterns.
B5. SOFTWARE DEVELOPMENT: develop a product from the initial stage of requirement / analysis all the way through development to its final stages of testing / evaluation.
B6: PROFESSIONAL PRACTICE: understand professional practices of the modern IT industry which include those technical (e.g. version control / automated testing) but also social, ethical & legal responsibilities.
B7: TRANSFERABLE SKILLS: apply a wide variety of degree level transferable skills including time management, team working, written and verbal presentation to both experts and non-experts, and critical reflection on own and others work.
The VIVA will take the form of a submission of a recorded presentation of your work.
The recording should be an informal, meeting-like presentation and should be considered as an opportunity to showcase your work. The aim is for you to present your work clearly and effectively to your client.
You are allowed 5 minutes to deliver your main content. You will then answer the questions below where you are allowed up to 1 minute per answer. Poor timing will affect your grade.
Please note that, doing a great project work is not enough; its clear presentation is also needed to get its mark. The template provided must be used.
Following the presentation of your work, please verbally answer the following questions. Keep your answers brief and concise and take account of the timing indicated for each.
Typically, this will take the form of a narrated PowerPoint presentation which can either be submitted as a PPT file, or saved as a video file. Ensure the video quality allows the file size to be small enough for submission.
Other forms of presentation are allowed, but it is your responsibility to ensure file sizes are acceptable and the work achieves the grading criteria.
VIVA QUESTIONS
This assessment is graded out of 100 and contributes 5 credits towards the module grade.
NOTES:
Look at the grading rubric below and target the marks.
Notes:
You must not submit work for assessment that you have already submitted (partially or in full), either for your current course or for another qualification of this university, with the exception of resits, where for the coursework, you maybe asked to rework and improve a previous attempt. This requirement will be specifically detailed in your assignment brief or specific course or module information. Where earlier work by you is citable, i.e. it has already been published/submitted, you must reference it clearly. Identical pieces of work submitted concurrently may also be considered to be self-plagiarism.