15-496/782: Introduction to Artificial Neural Networks
- Instructor: Dave Touretzky
(mail to: firstname.lastname@example.org), Wean Hall 8128, x8-7561.
- Teaching Assistant: Kornel Laskowski
(mail to: email@example.com),
NSH (Newell-Simon Hall) 2602H, x8-2518.
Office hours: Tuesdays, 4:30 to 6:30.
- Administrative assistant: Jennifer Landefeld
(mail to: firstname.lastname@example.org), Wean Hall 8124, x8-4740.
- Class web page: http://www.cs.cmu.edu/afs/cs/academic/class/15782-s04
- Class location: MM (Margaret Morrison) A14
- Time: Mon/Wed 3:30 - 4:50
- Starts: Monday, Jan. 12, 2004
- Credit: 12 units (CMU), 4 credits (Pitt), 1 core unit (CS), "advanced AI" (Robotics)
- Grading: for 15-496, homeworks, midterm, and final exams count 33% each.
15-782 requires a project; homeworks, midterm, final, and project count 25% each.
Introduction to the Theory of Neural Computation by Hertz,
Krogh, and Palmer. Addison-Wesley, 1991.
- Course syllabus, class handouts, and
lecture notes are on the web.
- Readings notebooks containing copies of papers are available at the
circulation desk in the E&S Library, and in Jenn Landefeld's office.
- Copies of the Hertz, Krogh & Palmer book and the Bishop book
are also on reserve in the E&S library.
Matlab page. Tutorials, online reference materials, and more.
- Matlab Primer, version 3, by Kermit Sigmon. (Postscript, or PDF)
- MATLAB minicourse transparencies by
Dave Touretzky. (Postscript files)
- A Practical Introduction to MATLAB,
by Mark S. Gockenbach.
Last modified: Fri Jan 16 04:39:39 EST 2004