Artificial Intelligence Course Overview and Expectations
Explore the details of the CSE 4308 and CSE 5360 Artificial Intelligence courses taught by Dr. Vamsikrishna Gopikrishna. Get insights into the course structure, instructor information, office hours, attendance policy, quizzes, assignments, and final exams. Stay informed about the resources available, such as textbooks and course websites, and understand the importance of active participation in lectures and assessments.
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CSE 4308: Artificial Intelligence CSE 5360: Artificial Intelligence I Vamsikrishna Gopikrishna, Ph.D.
Welcome to the Course Course Website: http://crystal.uta.edu/~gopikrishnav/classes/2024/spri ng/4308_5360/ Too Long?: Try http://crystal.uta.edu/~gopikrishnav/ Textbook: Artificial Intelligence: A Modern Approach (4th Edition) Stuart Russel, Peter Norvig. 3rdor 2ndEdition is also OK Instructor: Vamsikrishna Gopikrishna PhD (CS), UTA (2016); MS (CE), UTA (2008); BE (CSE), Anna Univ. (2006) Research Areas: Pattern Recognition, Neural Networks, Computer Vision, AI.
Welcome to the Course Office Hours Friday: 2:30 PM to 4:30 PM in ERB 553 Want to meet over TEAMS instead. Send me a meeting request or a direct message during office hours. In-Person students get priority. Can t make it?: email me for an appointment or just message me on teams Contact Email vamsikrishna.gopikrishna@uta.edu Make sure to put CSE4308-001, CSE4308-002 , CSE4308- 003, CSE5360-001, CSE5360-002, CSE5360-003, CSE5360- 004 in the subject line
Attendance Attendance is Strongly Recommended Echo360 recordings are only for review purposes. No guarantee of quality Not a substitute for attending lectures If you miss a lecture, that material may not be clearly visible on recording and may not be covered again in class.
Quizzes 5 Quizzes (each of 1 Hour duration) Closed book/notes Notes Handout will be provided Lowest quiz score will be dropped If you miss 2 or more, Automatic F Unless acceptable documentable reason exists and is provided within 1 lecture of quiz.
Assignments Some number of Programming assignments May also have some minor written tasks Can use Python 3, Python 2, C, C++, Java Omega Compatibility is optional All assignment scores will be used Submission only accepted on canvas Late submission may be accepted with a penalty (5% of credit per hour late)
Final Exam Cumulative Final Exam (2 Hour duration) Notes Handout will be provided In addition, 1 page of Handwritten Notes allowed Date and Time are determined by University Check Here: https://www.uta.edu/administration/registrar/cal endars/final-exams
About Academic Integrity Academic Integrity is of Extreme Importance ALL work is to be individual work Penalties WILL be applied for violations No Exceptions. Policy is as described in syllabus and in policy acknowledgement form
Policy Acknowledgement Form Goes over policies the course will follow and penalties for any violations Due on Sunday 1/28 by 11:59 PM. If not filled then student will not be allowed to attend Quizzes and Exams (Automatic F) 5% of your final grade.
