Artificial Intelligence

Student Learning Outcomes, Goals, Objectives:

The goal of this course is to help students develop a foundational understanding of artificial intelligence, including logical foundations, knowledge representation and reasoning, search, and selected topics such as natural language processing and reasoning under uncertainty.

Students successfully completing this course will be able to:

• Demonstrate knowledge of fundamental concepts, methods, and algorithms in AI.

• Design and implement basic AI algorithms and applications using a programming language.

• Develop awareness of recent advances in AI by engaging with presentations and discussions of current AI research.

Course Grading Information:

Activity/Performance Measure	Percentage/Points
Assignments	45%
Exams	45%
Attendance and in-class activities	10%

Grading Scale

Percentage	Letter Grade
93-100	A
90-92	A-
87-89	B+
83-86	B
80-82	B-
77-79	C+
73-76	C
70-72	C-
67-69	D+
63-66	D
60-62	D-
<59	F

Attendance/Participation:

Attendance is required for all students. Students with four or more unexcused absences will receive a zero for the attendance portion of the course grade.

Course Materials Purchased by the Students:

No textbook is required for this course. The instructor will provide lecture notes which are based on several reference textbooks, including the books and research articles/resources cited in the course lectures.