Module Identifier CS18110  
Academic Year 2006/2007  
Co-ordinator Mrs Janet H Hardy  
Semester Semester 2  
Other staff Mr Richard C Shipman, Mrs Janet H Hardy, Professor Mark H Lee  
Pre-Requisite None  
Co-Requisite CS12420 or CI12420  
Mutually Exclusive CI18010, CS18010, CC18010  
Course delivery Lecture   13  
  Seminars / Tutorials   10  
  Workload Breakdown   100 hours  
Assessment TypeAssessment Length/DetailsProportion
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%
Further details  

Learning outcomes

On 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.

Brief description

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.

Module Skills

Research skills Students will be required to read and analyse technical papers.  
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.  
Team work Group presentations. Team roles and management.  
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.  

Reading Lists

** Recommended Text
John W. Davies (2001) Communication Skills. A Guide for Engineering and Applied Science students. 2nd. Prentice Hall 0130882941
Stella Cottrell (2003) The Study Skills Handbook. 2. Palgrave Macmillan 1403911355
** 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