Syllabus, calendar, lecture notes, assignments, student work, and links to related materials. By Dan MacIsaac, Purdue University. Teaching laboratories for Physical Chemistry. Sections 153K and 154K. Course manuals, syllabus, calendar, lecture notes, assignments, and links to related materials. By Chris E. Jones, University of Texas at Austin.
Primary emphasis is on principles.
Laboratory assignments and projects are used to illustrate the implementation of key AI concepts. Syllabus, calendar, lecture notes, assignments, and links to related materials. By Vasant Honavar, Iowa State University. Introduction to mathematical and computational models of neurons and networks of neurons. Covers a range of network models, learning algorithms, and their applications in Artificial Intelligence, Robotics, Cognitive and Neural Modelling, Computer Science and Engineering.