|Delivery Type||Delivery length / details|
|Seminars / Tutorials|
|Workload Breakdown||100 hours|
|Assessment Type||Assessment length / details||Proportion|
|Semester Assessment||CV and covering letter||25%|
|Semester Assessment||Up to 5 one page written exercises and tutorial participation||25%|
|Semester Assessment||Individual Presentation (assessed by staff and peers)||25%|
|Semester Assessment||Group presentation(assessed by staff and peers)||25%|
|Supplementary Assessment||CV and covering letter||50%|
|Supplementary Assessment||Individual Presentation||50%|
On successful completion of this module students should be able to:
1. construct an appropriate CV;
2. demonstrate the basic skills of time management and team working;
3. critically review their own performance;
4. use computer-based tools to support university study;
5. design and give a technical presentation on an AI subject.
A module is required that will give a grounding to students on the GG47 course, that will expose them to AI concepts in the first year. However, this material is not appropriate for students on other courses.
This module is taken by all first year Computer Science with Artificial Intelligence students; it provides a forum in which first year students are taught together as a single group.The module covers material which is not addressed elsewhere in specific modules but which is essential in order to gain a more complete appreciation of the field of AI, and Computer Science as a whole.Personal transferable skills are an important quality of any AI software engineer, and form an important part of this module.The pastoral and general tutorial system for students on these degree schemes is administered through this module.
An introduction to the importance of structure, timing and content of presentations.
2. Producing a high quality a Curriculum Vitae - 1 Lecture
A presentation by the Careers Department
3. How to write Good English - 2 Lectures
An introduction to styles and techniques for writing good English.
4. Enhancing your University Experience - 1 Lecture
Maximising the benefit of Student Centred Learning.
5. Time Management - 1 Lecture
An analysis of how best to manage time to its maximum advantage.
6. Managing a group - 1 Lecture
How to work effectively as a team.
7. Citation - 1 Lecture
Using existing material. Correct and appropriate citation practice. Plagiarism.
8. User Interface Issues - 1 Lecture
User centred design. Schneidermann's rules. Norman's principles.
9. Examination Technique - 1 Lecture
Standard rubrics. Use of time, planning. Question styles.
10. Introduction to AI ? 3 Lectures
Why did AI develop and what can it do? What are the problems AI sets out to solve, and why are they important?
11. Tutorials - 10 Weeks
Each student will be required to prepare and deliver presentations and demonstrations on papers from the AI literature covered in the lectures. Students will learn how to think critically about academic papers, and how to extract what they need from them.
|Skills Type||Skills details|
|Communication||This forms an important component of this module. Students are required to make individual and group presentations related to AI. Writing good English.|
|Improving own Learning and Performance||Student-centred learning skills, time management skills.|
|Information Technology||Exposure to IT tools: spreadsheets, presentation tools and graphics packages to support university learning.|
|Personal Development and Career planning||The module addresses time management and writing CVs.|
|Research skills||Students will be required to read and analyse technical papers.|
|Team work||Group presentations. Team roles and management.|
Reading ListRecommended Text
John W. Davies (2001) Communication Skills. A Guide for Engineering and Applied Science students. 2nd Prentice Hall Primo search Stella Cottrell (2003) The Study Skills Handbook. 2 Palgrave Macmillan Primo search Consult For Futher Information
Alison Cawsey, (1998) The Essence of Artificial Intelligence Prentice Hall ISBN 0-13-571779-5
This module is at CQFW Level 4