Course Information
COMP3270 Artificial Intelligence

COMP3270 Artificial Intelligence

2017-18
Instructor(s):Chan K P
(Class A) No. of credit(s):6
Recommended Learning Hours:
Lecture: 33.0
Tutorial: 6.0
Pre-requisite(s):COMP2119 or COMP2123 or CSIS1119 or CSIS1122 or CSIS1123
Co-requisite(s):  
Mutually exclusive with:BUSI0088
Remarks:

Course Learning Outcomes

1. [1]
understand the basic principles and technologies of intelligent computer systems
2. [2]
explain the algorithms to achieve AI
3. [3]
develop some AI programs
Mapping from Course Learning Outcomes to Programme Learning Outcomes
 PLO aPLO bPLO cPLO dPLO ePLO fPLO gPLO hPLO iPLO j
CLO 1T,PT,P
CLO 2TT
CLO 3PP

T - Teach, P - Practice
For BEng(CompSc) Programme Learning Outcomes, please refer to here.

Syllabus

Calendar Entry:
This is an introduction course on the subject of artificial intelligence. Topics include: intelligent agents; search techniques for problem solving; knowledge representation; logical inference; reasoning under uncertainty; statistical models and machine learning. This course may not be taken with BUSI0088.

Detailed Description:

Basic principles Mapped to CLOs
Intelligent agents, agents and environments, concept of rationality1
AI algorithms Mapped to CLOs
Search techniques and problem solving2
Logical, uncertain knowledge and reasoning Mapped to CLOs
Logical knowledge and reasoning2
Applications Mapped to CLOs
Application programming3

Assessment:
Written Examination: 50%
Continuous Assessment: 50%

Teaching Plan

Please refer to the corresponding Moodle course.

Moodle Course(s)

COMP3270A