Textbooks can be purchased though the MBS bookstore
Textbooks can be purchased though the Parkville Bookstore
Course Description: The student will learn the terminology and methods used in a variety of artificial-intelligence (AI) areas. These topics will be covered: history of artificial intelligence, search techniques, knowledge representation. In addition, one or more of these topics will be covered: expert systems, uncertainty, case-based reasoning, neural networks, vision, robotics. The student may use various AI tools, Lisp, and/or Prolog for AI projects. Prerequisite: CS352. 3:0:3
Educational Philosophy: The instructor's educational philosophy is one of interactiveness based on lectures, readings, dialogues with other students, examinations, the Internet, web sites and writings or programming assignments.
Learning Outcomes:After completing this course, the student should be able to:
- Explain the history of artificial intelligence and understand the various definitions;
- Explain and trace various search algorithms;
- Solve first-order logic problems;
- Explain knowledge representation techniques;
- Do one or two of these:
-- Solve problems involving uncertainty;
-- Explain and trace machine learning techniques, including neural network learning;
-- Explain and analyze vision concepts;
-- Explain and analyze robotics concepts;
- Write programs written in Lisp, Prolog, Java, C++, or another language that implement artificial intelligence algorithms for some of the object items
Course Assessment: Course assessment will be accomplished through homework assignments, a class project (paper or AI program), and discussion assignemnts.
Grading: Course assignments are as follows:
- Six homework assignments, 50 points each, for a total 300 points
- One project for a total of 250 points
- One final exam for a total of 300 points
- Eight weekly discussion assignments (Weeks 1 and 8 are worth 10 points each, Weeks 2 through 7 are worth 20 points each, instructor will provide a comprehensive grade at the end of the term worth 10 points) for a total of 150 points
Late Submission of Course Materials: Late work will be accepted but up to 5% of the total grade may be deducted for each late any assignment is turned in late.
Classroom Rules of Conduct: Each student is responsible for:
-- Completing all reading assignments
-- Completing all Homework the date provided by the instructor
-- Participating in Discussions.
-- Completing the Class Project (a program or research paper) by Wednesday, Week 8
-- Completing the Final Examination
Course Topic/Dates/Assignments: Topics for each week are outlined below:
- Week 1: Introduction
- Week 2: Problem Solving and Searching
- Week 3: Knowledge and Reasoning
- Week 4: Uncertain Knowledge and Reasoning
- Week 5: The Learning Agent
- Week 6: Perceiving and Acting
- Week 7: Conclusions
- Week 8: Final Exam
Plagiarism:Plagiarism involves the use of quotations without quotation marks, the use of quotations without indication of the source, the use of another's idea without acknowledging the source, the submission of a paper, laboratory report, project, or class assignment (any portion of such) prepared by another person, or incorrect paraphrasing. Park University 2005-2006 Undergraduate Catalog Page 85-87
Attendance Policy:Instructors are required to maintain attendance records and to report absences via the online attendance reporting system.
Park University 2005-2006 Undergraduate Catalog Page 89
Park University is committed to meeting the needs of all students that meet the criteria for special assistance. These guidelines are designed to supply directions to students concerning the information necessary to accomplish this goal. It is Park University's policy to comply fully with federal and state law, including Section 504 of the Rehabilitation Act of 1973 and the Americans with Disabilities Act of 1990, regarding students with disabilities. In the case of any inconsistency between these guidelines and federal and/or state law, the provisions of the law will apply. Park University is committed to meeting the needs of all learners that meet the criteria for special assistance. These guidelines are designed to supply directions to learners concerning the information necessary to accomplish this goal. It is Park University's policy to comply fully with federal and state law, including Section 504 of the Rehabilitation Act of 1973 and the American with Disabilities Act of 1990, regarding learners with disabilities and, to the extent of any inconsistency between these guidelines and federal and/or state law, the provisions of the law will apply. Additional information concerning Park University's policies and procedures related to disability can be found on the Park University web page:
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