CSU33061 – Artificial Intelligence I

Module CodeCSU333061
Module Name Artificial Intelligence I
ECTS Weighting[1]5 ECTS
Semester taughtSemester 2
Module Coordinator/s  Tim Fernando

Module Learning Outcomes

On successful completion of this module, students will be able to:

LO1. Describe the basic aims and achievements of artificial intelligence, as well as the challenges facing it
LO2. Assess notions of computability as they relate to artificial intelligence
LO3. Reason about the suitability of and trade-offs between basic search
strategies
LO4. Design simple knowledge representation systems for various knowledge intensive problems
LO5. Appreciate the possibilities opened up by probabilistic reasoning;

Module Content

An introduction to Artificial Intelligence covering basic topics search and knowledge
representation, including an introduction to probabilistic reasoning

Teaching and learning Methods

Lectures, laboratories, tutorials

Assessment Details

Assessment ComponentBrief Description Learning Outcomes Addressed% of totalWeek setWeek Due
Examination2 hour real-time
examination
LO1, LO2, LO3,
LO4, LO5
80%
Coursework2 or 3 Problem setsLO1,LO2,LO3,
LO4 LO5
20%4,8
approx
1 week
after
(approx)

Reassessment Details

Real-time examination (2 hours, 100%)

Contact Hours and Indicative Student Workload

Contact Hours (scheduled hours per student over full module), broken down by: 44 hours
Lecture22 hours
Laboratory11 hours
Tutorial or seminar0 hours
Other0 hours
Independent study (outside scheduled contact hours), broken down by:72  hours
Preparation for classes and review of material (including preparation for examination, if applicable36 hours
completion of assessments (including examination, if applicable)36 hours
Total Hours116 hours

Recommended Reading List

Module Pre-requisites

Prerequisite modules: CSU34011

Other/alternative non-module prerequisites: equivalent programming experience

Module Co-requisites

None

Module Website

Blackboard