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--- syllabus [2016/01/12 14:41]
anderson
+++ syllabus [2016/01/12 14:46]
anderson
@@ Line 44: / Line 44: @@
 [[http://webdocs.cs.ualberta.ca/~sutton/book/the-book.html| Reinforcement Learning: An Introduction]], by Richard Sutton and Andrew Barto. On-line and free. You can also read the book through Morgan library. Visit [[http://catalog.library.colostate.edu/search~S5?/treinforcement+learning/treinforcement+learning/1%2C12%2C16%2CB/frameset&FF=treinforcement+learning+an+introduction&1%2C%2C3|this page]] and click on the “View electronic book” link.
-=== Grading ===
+===== Instructors =====
+^    ^  Office  ^  Hours  ^  Contact  |
+^  [[http://www.cs.colostate.edu/~anderson|Chuck Anderson]]  |  Computer Science Building (CSB) Room 444  |    Monday 1-2, Wednesday 2-3  |  anderson@cs.colostate.edu\\  970-491-7491  |
+^  GTA: [[http://www.cs.colostate.edu/~lemin/|Jake Lee]]  | ?  |  ? \\ Room 120  |  lemin@cs.colostate.edu  |
+===== Grading =====
 Your grade for this course will be based only on the assignments, most of which will require the submission of an ipython notebook that includes text descriptions of your methods, results and conclusions and the python code for defining machine learning algorithms, loading data and applying your algorithms to the data.  Each notebook will be graded for correct implementation and results, interesting and thorough discussion, and good organization, grammar and spelling.  No quizzes or exams will be given.

CS440: Introduction to Artificial Intelligence