Module 06-27112 (2018)
MSc Introduction to Artificial Intelligence
|Leandro Minku||Semester 2||10 credits|
This module provides a general introduction to artificial intelligence, its techniques, and main subfields. The principal focus of the module will be on the common underlying principles, such as knowledge representation, search, and learning.
The aims of this module are to:
- Provide a general introduction to artificial intelligence, its techniques and its main subfields.
- Give an overview of key underlying ideas, such as knowledge representation, reasoning, search, and learning.
- Demonstrate the need for different approaches for different problems
On successful completion of this module, the student should be able to:
- Discuss the major issues and techniques in a variety of sub-fields of AI, such as vision, robotics, natural language processing, planning, probabilistic reasoning, and machine learning.
- Apply a variety of standard AI techniques to simple examples.
- Understand applications of AI to real world situations and possible problems and limitations.
- 06-27110 - ICY Introduction to Artificial Intelligence
Large-Group Lectures and Exercises Classes
Sessional: 1.5 hr Examination (70%) Continuous Assessment (30%)
Supplementary (where allowed): 1.5 hr Examination (100%)
- Overview of AI terms and concepts
- Self-Organising Systems
- Search Algorithms
- Learning Algorithms
- Examples of applications
Programmes containing this module
- MSc Computer Science