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Principles and Techniques of AI

AI3101
4 hours English

Principles and Techniques of AI

Principles and Techniques of AI
1 Intro to AI (Concepts, Domains and Applications)
2 Intelligent Agents and Agent Environment
3 Expert Systems
4 Problem Solving through intelligent search algorithms (Un-informed / Search, Informed Search)
5 Search in complex environments
6 Adversarial Search algorithms (Minimax Algorithm, Alpha Beta Pruning, Chance Minimax)
7 Constraint Satisfaction Problems
8 Logical Agents (knowledge-based agents, propositional logic, First Order Logic, Logic Programming)
9 Knowledge representation
1.1 Mapped to: K1

Describe what constitutes "Artificial" Intelligence and how to identify systems with artificial intelligence.

Teaching Strategy Course lectures, tutorials, demonstration, discussion.
Assessment Methods Quizzes, Assignments, Midterm Exam
1.2 Mapped to: K1, K2

Differentiate between AI search algorithms (uninformed, informed, local search, genetic algorithms, constraint satisfaction, adversarial search).

Teaching Strategy Course lectures, tutorials, demonstration, discussion.
Assessment Methods Quizzes, Assignments, Midterm Exam, Final Exam, Project
1.3 Mapped to: K1

Describe the fundamental issues and challenges of computational intelligence techniques.

Teaching Strategy Course lectures, tutorials, demonstration, discussion.
Assessment Methods Quizzes, Assignments, Midterm Exam, Final Exam, Project
2.1 Mapped to: S1,S2

Apply Artificial Intelligence techniques for problem solving to real-world problems.

Teaching Strategy Course lectures, tutorials, demonstration, discussion.
Assessment Methods Project, Assignments
3.1 Mapped to: V1

Ensuring AI systems are designed to benefit society.

Teaching Strategy Course lectures, tutorials, demonstration, discussion.
Assessment Methods Project, Assignments