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Daffodil International University
Department of Computer Science and Engineering
Semester: Spring-2019
Course Outline
Course Code: CSE 412
Course Title: Artificial Intelligence
Credit Hours: 3.0
❖ Course Description:
Artificial Intelligence (AI) is one of the major branches of Computer Science and Engineering. It
has plenty of applications in our current life. CSE 412 is an introductory course. It emphasizes
the general techniques and theories developed in major areas of artificial intelligence, rather than
specific applications. We expect to cover the topics, which are given in a short while.
❖ Course Objective:
The main objective of this course is to provide an introduction to the basic principles and
applications of artificial intelligence.
❖ Text Book:
I. “Artificial Intelligence: A Modern Approach,” 3rd
edt., Stuart J. Russell and Peter
Norvig, Pearson Education Ltd.
❖ Reference Book:
I. “Artificial Intelligence,” 2nd
edt., Elain Rich and Kevin Knight, Tata McGraw Hill.
II. “Introduction to Artificial Intelligence and Expert Systems,” D. W. Patterson, Prentice
Hall of India.
III. “Artificial Intelligence: A Guide to Intelligent Systems,” 2nd
edt., Michael Negnevitsky,
Pearson Education Ltd.
❖ Course Contents:
1. Introduction and Philosophical Foundations [Ch 1, 26]
2. Intelligent Agents [Ch 2]
3. Solving Problems by Searching [Ch 3]
4. Informed Search and Exploration [Ch 4]
----------------------
Midterm Examination--------------------
5. Game Playing [Ch 5]
6. Logical Agents [Ch 7]
7. Uncertainty [Ch 13]
8. Natural Language Processing [Ch 22]
❖ Assessment:
Class Attendance 7
Assignment 5
Class Test 15
Presentation 8
Mid Term Exam
25
Semester Final Examination 40
Total: 100
❖ Grading System:
Numerical Grade Letter Grade Grade Point
80% and above A+
(A Plus) 4.0
75% to less than 80% A (A regular) 3.75
70% to less than 75% A
(A minus) 3.5
65% to less than 70% B+
(B Plus) 3.25
60% to less than 65% B (B regular) 3.0
55% to less than 60% B
(B minus) 2.75
50% to less than 55% C+ (C Plus) 2.5
45% to less than 50% C C (regular) 2.25
40% to less than 45% D Passed 2.0
Less than 40% F Failed 0.0
❖ Teaching Method:
✓ Students are required to attend all the classes.
✓ There will be 3(Three) class tests.
✓ One or more assignment(s) will be given, which students should submit on due date(s).

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Course outline (cse 412 - artificial intelligence)

  • 1. Daffodil International University Department of Computer Science and Engineering Semester: Spring-2019 Course Outline Course Code: CSE 412 Course Title: Artificial Intelligence Credit Hours: 3.0 ❖ Course Description: Artificial Intelligence (AI) is one of the major branches of Computer Science and Engineering. It has plenty of applications in our current life. CSE 412 is an introductory course. It emphasizes the general techniques and theories developed in major areas of artificial intelligence, rather than specific applications. We expect to cover the topics, which are given in a short while. ❖ Course Objective: The main objective of this course is to provide an introduction to the basic principles and applications of artificial intelligence. ❖ Text Book: I. “Artificial Intelligence: A Modern Approach,” 3rd edt., Stuart J. Russell and Peter Norvig, Pearson Education Ltd. ❖ Reference Book: I. “Artificial Intelligence,” 2nd edt., Elain Rich and Kevin Knight, Tata McGraw Hill. II. “Introduction to Artificial Intelligence and Expert Systems,” D. W. Patterson, Prentice Hall of India. III. “Artificial Intelligence: A Guide to Intelligent Systems,” 2nd edt., Michael Negnevitsky, Pearson Education Ltd. ❖ Course Contents: 1. Introduction and Philosophical Foundations [Ch 1, 26] 2. Intelligent Agents [Ch 2] 3. Solving Problems by Searching [Ch 3] 4. Informed Search and Exploration [Ch 4] ---------------------- Midterm Examination-------------------- 5. Game Playing [Ch 5] 6. Logical Agents [Ch 7] 7. Uncertainty [Ch 13] 8. Natural Language Processing [Ch 22]
  • 2. ❖ Assessment: Class Attendance 7 Assignment 5 Class Test 15 Presentation 8 Mid Term Exam 25 Semester Final Examination 40 Total: 100 ❖ Grading System: Numerical Grade Letter Grade Grade Point 80% and above A+ (A Plus) 4.0 75% to less than 80% A (A regular) 3.75 70% to less than 75% A (A minus) 3.5 65% to less than 70% B+ (B Plus) 3.25 60% to less than 65% B (B regular) 3.0 55% to less than 60% B (B minus) 2.75 50% to less than 55% C+ (C Plus) 2.5 45% to less than 50% C C (regular) 2.25 40% to less than 45% D Passed 2.0 Less than 40% F Failed 0.0 ❖ Teaching Method: ✓ Students are required to attend all the classes. ✓ There will be 3(Three) class tests. ✓ One or more assignment(s) will be given, which students should submit on due date(s).