|| CS18110 |
|| PROFESSIONAL AND PERSONAL DEVELOPMENT WITH AI CONCEPTS. |
|| 2004/2005 |
|| Mrs Janet H Hardy |
|| Semester 2 |
|| Mrs Janet H Hardy, Professor Mark H Lee |
|| None |
|| CS12420 |
|| Normally only available to students on GG47. CI18010, CS18010, CC18010. |
| Course delivery
|| Lecture || 13 |
|| Seminars / Tutorials || 10 |
|| Workload Breakdown || 100 hours |
|Assessment Type||Assessment Length/Details||Proportion|
|Semester Assessment|| A1 Course Work: Contributions to tutorials ||25%|
|Semester Assessment|| A2 Course Work: CV ||25%|
|Semester Assessment|| In-Course Assessment: Presentations on AI - A3 individual (25%) and A4 group (25%) ||50%|
|Supplementary Assessment|| Will take the same form under the terms of the Department?s policy. ||100%|
Learning outcomesOn successful completion of this module students should be able to:
1. be able to design and give an individual technical presentations relating to Artificial Intelligence (A3).
2. be able to produce an up-to-date CV (A2).
3. be able to demonstrate the basic skills of time management (A1).
4. be able to use computer-based spreadsheets and graphics packages to support university study (A1).
5. be able to design and build static web pages (A1).
6. be able to explain the importance of user interface design (A1).
7. be able to work as a member of a team and contribute to a group presentation (A4).
8. be able to critically review their own performance (A1).
9. be able to use academic papers (A3, A4).
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.
1. Planning a Presentation - 1 Lecture
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.
** Recommended Text
John W. Davies (2001) Communication Skills. A Guide for Engineering and Applied Science students.
2nd. Prentice Hall 0-130-88294-1
Stella Cottrell (2003) The Study Skills Handbook.
2. Palgrave Macmillan 1-4039-1135-5
** 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