Department of Computer Science and Engineering, DIU CSE502 (Advanced Artificial Intelligence), Credits Hours : 3 Summer Semester 2014 Course Teacher: Dr. Mohammad Shorif Uddin Course Outline Lecture Hours: Sunday (06:00pm to 09:00) Course Teacher Dr. Mohammad Shorif Uddin, Professor of CSE, Jahangirnagar University Tel: 01747615832, 01552471751, E-mail: [email protected] , https://sites.google.com/site/shorifuddin/ Course Objectives/Goals Provide basic knowledge of embedding AI algorithms and techniques, such as genetic algorithms, fuzzy logic, neural networks, and intelligent agents into software to provide them with the adaptive ability to learn, optimize, and reason. The main focus of this course is to illustrate the inner workings of the above tools. Students will gain familiarity in understanding intelligence to implement adaptive behaviors in autonomous agents acting in dynamic uncertain environments. Main Topics: 1. Course Overview: Introduction to AI 2. General search strategies: BFS, DFS, Iterative-Deepening DFS, A* search, Hill Climbing and Gradient Method 3. Optimization Techniques: Simulated Annealing, Simple Genetic Algorithm (sGA) and Compact Genetic Algorithm (cGA), Ant Algorithm 4. Distance Metrics, K-means Clustering, Self Organizing Feature Map (SOFM) 5. Knowledge-based system 6. Introduction to uncertainty management 7. Fuzzy Logic and its applications in adaptive system design Recommended Textbook: 1. S. Rajasekaran, G. A. Vijayalaksmi Pai, Neural Networks, Fuzzy Logic, and Genetic Algorithms, Prentice-Hall of India (PHI), New Delhi, 2003. 2. M. Tim Jones, Artificial Intelligence Application Programming, Dream Tech Press, New Delhi, 2003. Course Policies: No Makeup Exam unless prior permission of the instructor is taken for only unavoidable ground. Exam dates will be fixed according to DIU official announcements. Students must adhere with the code of conduct within the class room and exam hall. Marks Distribution: Attendance & Class Room Behavior: 07% Quiz/Class Tests: 15% Assignments: 05% Presentations: 08% Mid Term Exam: 25% Final Exam: 40% Grading System: Marks (%) Letter Grade Grade Point Marks (%) Letter Grade Grade Point 80-100 A+ 4.00 50-54 C+ 2.50 75-79 A 3.75 45-49 C 2.25 70-74 A- 3.50 40-44 D 2.00 65-69 B+ 3.25 Below 40 F 0.00 60-64 B 3.00 55-59 B- 2.75

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Outline for Artificial Intelligence

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Department of Computer Science and Engineering, DIU

CSE502 (Advanced Artificial Intelligence), Credits Hours : 3 Summer Semester 2014

Course Teacher: Dr. Mohammad Shorif Uddin

Course Outline

Lecture Hours: Sunday (06:00pm to 09:00) Course Teacher Dr. Mohammad Shorif Uddin, Professor of CSE, Jahangirnagar University Tel: 01747615832, 01552471751, E-mail: [email protected], https://sites.google.com/site/shorifuddin/ Course Objectives/Goals

Provide basic knowledge of embedding AI algorithms and techniques, such as genetic algorithms, fuzzy logic, neural networks, and intelligent agents into software to provide them with the adaptive ability to learn, optimize, and reason. The main focus of this course is to illustrate the inner workings of the above tools.

Students will gain familiarity in understanding intelligence to implement adaptive behaviors in autonomous agents acting in dynamic uncertain environments.

Main Topics: 1. Course Overview: Introduction to AI 2. General search strategies: BFS, DFS, Iterative-Deepening DFS, A* search, Hill Climbing and Gradient Method 3. Optimization Techniques: Simulated Annealing, Simple Genetic Algorithm (sGA) and Compact Genetic

Algorithm (cGA), Ant Algorithm 4. Distance Metrics, K-means Clustering, Self Organizing Feature Map (SOFM) 5. Knowledge-based system 6. Introduction to uncertainty management 7. Fuzzy Logic and its applications in adaptive system design

Recommended Textbook:

1. S. Rajasekaran, G. A. Vijayalaksmi Pai, Neural Networks, Fuzzy Logic, and Genetic Algorithms, Prentice-Hall of India (PHI), New Delhi, 2003.

2. M. Tim Jones, Artificial Intelligence Application Programming, Dream Tech Press, New Delhi, 2003.

Course Policies:

No Makeup Exam unless prior permission of the instructor is taken for only unavoidable ground. Exam dates will be fixed according to DIU official announcements. Students must adhere with the code of conduct within the class room and exam hall.

Marks Distribution: Attendance & Class Room Behavior: 07% Quiz/Class Tests: 15% Assignments: 05% Presentations: 08% Mid Term Exam: 25% Final Exam: 40% Grading System:

Marks (%) Letter Grade Grade Point Marks (%) Letter Grade Grade Point 80-100 A+ 4.00 50-54 C+ 2.50 75-79 A 3.75 45-49 C 2.25 70-74 A- 3.50 40-44 D 2.00 65-69 B+ 3.25 Below 40 F 0.00 60-64 B 3.00 55-59 B- 2.75