|
| 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 a | PLO b | PLO c | PLO d | PLO e | PLO f | PLO g | PLO h | PLO i | PLO j |
| CLO 1 | T,P | | T,P | | | | | | | |
| CLO 2 | T | | T | | | | | | | |
| CLO 3 | | | P | | | | | | | P |
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 rationality | 1 |
| AI algorithms |
Mapped to CLOs
|
| Search techniques and problem solving | 2 |
| Logical, uncertain knowledge and reasoning |
Mapped to CLOs
|
| Logical knowledge and reasoning | 2 |
| Applications |
Mapped to CLOs
|
| Application programming | 3 |
|
|
Assessment:
Written Examination:
50%
Continuous Assessment:
50%
|
| Teaching Plan |
|
Please refer to the corresponding Moodle course.
|
| Moodle Course(s) |
|
|
