Williams, Betsy2008-06-262008-06-262008-06-26http://hdl.handle.net/10267/1966This syllabus was submitted to the Rhodes College Office of Academic Affairs by the course instructor.To introduce you to some of the basic theory and practical techniques in artificial intelligence. • In particular, this course will teach you about: o Reactive systems; o Search; o Knowledge representation; o Machine learning; o Planning; and o Software agents. • At the end of this course, the student will be able to: o Formulate and assess problems in artificial intelligence. o Assess the strengths and weaknesses of several methods for representing knowledge. o Assess the strengths and weaknesses of several AI algorithms in areas such as heuristic search, game search, logical inference, statistical inference, decision theory, planning, machine learning, neural networks, and natural language processing. o Implement software solutions to a wide-variety of problems generally considered to require artificial intelligence.en-USRhodes College owns the rights to the digital objects in this collection. Objects are made available for educational use only and may not be used for any non-educational or commercial purpose. Approved educational uses include private research and scholarship, teaching, and student projects. For additional information please contact archives@rhodes.edu. Fees may apply.Mathematics and Computer Science, Department ofSyllabusCurriculumAcademic departments2007 FallText