Module Details

The information contained in this module specification was correct at the time of publication but may be subject to change, either during the session because of unforeseen circumstances, or following review of the module at the end of the session. Queries about the module should be directed to the member of staff with responsibility for the module.
Title AI GROUP PROJECT
Code COMP214
Coordinator Dr M Zito
Computer Science
Michele@liverpool.ac.uk
Year CATS Level Semester CATS Value
Session 2016-17 Level 5 FHEQ Second Semester 15

Aims

Students will work in groups of four to produce a working software system that addresses some AI application domain. The deliverables and working methods will be prescribed. 

  • To provide experience of group working
  • To provide experience of all aspects of the development of a moderately sized software system.
  • To prepare students for their individual projects in the third year
  • To consolidate material from the first semester of the second year.

Learning Outcomes

  • An understanding of working as part of a team.
  • Improved personal, interpersonal and communication skills.
  • A more in depth understanding of the process of software development especially in the context of AI applications.
  • An ability to specify the requirements of an AI system.
  • Experience in the design of an AI system
  • Practical experience in the implementation and evaluation of a moderately sized software system.
  • An awareness of project management issues.
  • Understanding of the process and role of software documentation
  • Experience in the writing of a sizeable report on a software project.

Syllabus

1

12 lectures will be given: Introduction to the project framework; Meeting skills; Project planning; Project monitoring; Requirements specification for AI applications; Presentation skills; Design considerations for AI applications; Group dynamics and negotiation; Quality management; Configuration management; Documenting testing; Report writing.


Teaching and Learning Strategies

Lecture -

1 per week

Tutorial -

2 hours project reviews; project surgeries as needed (4 hours)


Teaching Schedule

  Lectures Seminars Tutorials Lab Practicals Fieldwork Placement Other TOTAL
Study Hours 12

  6

      18
Timetable (if known) 1 per week
 
  2 hours project reviews; project surgeries as needed (4 hours)
 
       
Private Study 132
TOTAL HOURS 150

Assessment

EXAM Duration Timing
(Semester)
% of
final
mark
Resit/resubmission
opportunity
Penalty for late
submission
Notes
             
CONTINUOUS Duration Timing
(Semester)
% of
final
mark
Resit/resubmission
opportunity
Penalty for late
submission
Notes
Coursework  90 hours  100  Summer vacation  According to University policy.  Assessment 1 Notes (applying to all assessments) Intermediate deliverables and project report Resubmission of a revised project report. Anonymous marking impossible.  

Recommended Texts

Reading lists are managed at readinglists.liverpool.ac.uk. Click here to access the reading lists for this module.
Explanation of Reading List: