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Artificial Intelligence (CS3703): Course Outline

This course is to equip the students with simulation of human intelligence processes by machines, especially computer systems.

Course objectives

The program of BS-DS aims to bridge this gap by producing the high-quality data scientist who will have the necessary theoretical background to understand the data science problems, will be equipped with the necessary tools and techniques to design and develop the solutions for these problems and will have the necessary ethical values to apply this skill set in the appropriately right way.

Topics

1. AI History and Applications

2. The Predicate Calculus

3. Structures and Strategies for State Space Search

4. Heuristic Search

5. Stochastic Methods

6. Control and Implementation of State Space Search

7. Knowledge Representation

8. Strong Method Problem Solving

9. Reasoning in Uncertain Situation

10. Machine Learning: Symbol-Based

Reference Books