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BS(CS) – 6th Semester – Detailed Syllabi AI&ES
Department of Computer Science
Sir Syed University of Engineering & Technology, Karachi
CS306 Artificial Intelligence & Expert Systems
Lecture Plan – Fall 2016
Batch-2014
: 6th
Class
: A,B,C
Semester
Course Code
: CS-306
Course Name: Artificial Intelligence & Expert System.
Instructor Name :
Tutorial/Consultation Time:
Ms.Mehwish Jamil
11:50-2:00( Wednesday and Thursday)
Ms. Javeria Hafeez
11:50-2:00(Wednesday)
Ms. Farhana Ashraf
Contact E-mail :
[email protected]
[email protected]
RECOMMENDED BOOKS:
Text:
Artificial Intelligence – A Modern Approach (2nd edition) By Stuart Russell & Peter Norvig
References:
Course Objectives:
Obtain an overview of artificial intelligence (AI) principles and approaches. Develop a basic understanding of
the building blocks of AI as presented in terms of intelligent agents: Search, Knowledge representation,
inference, logic, learning. Enable the student to follow AI literature with the ability to go on to independent
work in the field.
Grading Policy:
Assignments (Quizzes + Assignments + Class Performance) 05%
Midterm 15%
Practical 20%
Final 60%
Detailed Syllabus:
Week Topics
S#
Week 1 & 2
Topics
Introduction to Artificial Intelligence
 What is Artificial Intelligence
 Allen Turing Test.
 Human Intelligence VS Artificial Intelligence.
 The Foundations of AI
 A Brief History of AI
 Task Domains of AI
 AI Technique
 Chinese Room Test
 Strong AI & Week AI.
Week 3 & 4
Intelligent agents.
 Agents and Environments.
 PEAS: Performance measure, Environment,
Actuators, Sensors of Agents.
 Problems of AI.(Tic-Tac-Toe)

Introduction to Expert systems
 Expert system
 Components of Expert Systems
 Performance
 Characteristics Of Expert Systems
 Some Prominent Expert Systems
Week 5
Week 6&7
AI techniques
 Case Base Reasoning
 Fuzzy Logic
 Neural Networks
 Swarm Intelligence
Assessment
Assignment # 01
Quiz # 01
Assignment # 02
Week 9 &10
Week 11&12
Week 13&14
Problems, Problems Spaces and Search
 To build a system to solve a problem
 State Space Search
 Concept of search cost.
 Production System.
 Water Jug Problem.
 Farmer Problem.
 Control Strategies.
 Search Strategies.
 Breadth First Search.
 Depth-First Search.
 Problem Characteristics
Heuristic Search
 Best first search
 A* search.
 Applications of searching.
 Hill Climbing Search.
Introduction to Logic.
 Elements of Logic.
 Formalization.
 Automation.
 Propositional Logic.
Quiz # 02
Assignment # 03
Quiz # 03