Course Details
| Course Code: |
IT9102 |
|
Course Title:
|
Advanced Artificial Intelligence
|
|
Short Title:
|
Advanced AI
|
| Course Level:: |
Level 9 |
| Valid From:: |
2023/2024 Sem 2 |
| Assessment Method: |
Achievement |
| Course Aim |
This course is designed to provide an in-depth understanding of specialized theories, principles and concepts in Artificial Intelligence (AI). The course covers intelligent agents, problem-solving techniques, probabilistic reasoning, learning, and the philosophy, ethics, and safety of AI. The course aims to enable students to implement advanced problem-solving techniques, explore probabilistic reasoning and learning, develop skills in designing intelligent agents, and investigate the philosophical, ethical, and safety implications of AI.
|
| CILO |
| On Completion of this course, the learner will be able to |
| # |
Learning Outcome Description |
| 1 |
Demonstrate in-depth knowledge and understanding of specialized theories, principles and concepts such as intelligent agents, problem-solving techniques, probabilistic reasoning, learning, and ethics in Artificial Intelligence (AI). |
| 2 |
Investigate and assess the applications of specialized AI techniques. |
| 3 |
Utilize AI development tools at professional-level to develop intelligent systems for a wide range of problems using AI techniques. |
| No Other Controlled Assessments |
The institute reserves the right to alter the nature and timings of assessment
|
Affiliated Entities
|
| Entity Code |
Entity Title |
Entity Version |
Entity Type |
|
ICT1099
|
Doctorate of Philosophy in Computer Science
|
1
|
Programme
|
|
ICT9010
|
Master of Science in Artificial Intelligence
|
1
|
Programme
|
|
ICT9099
|
Master of Science by Research in Computer Science
|
1
|
Programme
|
|
