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syllabus [2020/01/14 16:08]
anderson [Description]
syllabus [2020/01/21 09:44] (current)
anderson [Instructors]
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   * use the latest features in python, including jupyter notebooks.   * use the latest features in python, including jupyter notebooks.
  
-For implementations we will be using [[https://​www.python.org/​|Python]]. Previous experience with Python and its numpy package is helpful. ​ To prepare for this course, please download and install Python on your computer, and work through on-line tutorials to help prepare for this course. ​ The [[https://​anaconda.org/downloads|Anaconda distribution]] is recommended,​ which is a free download for all platforms. ​+For implementations we will be using [[https://​www.python.org/​|Python]]. Previous experience with Python and its numpy package is helpful. ​ To prepare for this course, please download and install Python on your computer, and work through on-line tutorials to help prepare for this course. ​ The [[https://​anaconda.com/distribution|Anaconda distribution]] is recommended,​ which is a free download for all platforms. ​
  
 Class meetings will be a combination of lectures by the instructor and discussions of students'​ questions. All questions are welcome, no matter how simple you think they are; it is always true that someone else has a similar question. It is critical that everyone in class respect each other when questions are asked and answers are suggested and at all times. Please contact the instructor when you have felt disrespect from other students, the instructor, or the graduate teaching assistants. This may be anonymous if you prefer. Class meetings will be a combination of lectures by the instructor and discussions of students'​ questions. All questions are welcome, no matter how simple you think they are; it is always true that someone else has a similar question. It is critical that everyone in class respect each other when questions are asked and answers are suggested and at all times. Please contact the instructor when you have felt disrespect from other students, the instructor, or the graduate teaching assistants. This may be anonymous if you prefer.
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 ===== Time and Place ===== ===== Time and Place =====
  
-Class meets every Tuesday and Thursday, 2:00 - 3:15 PM in [[https://​www.fm.colostate.edu/​sites/​default/​files/​maps/​0190-01-Classroom.pdf|Stadium ​Room 1205]].  On-campus and distance-learning students will be able to watch video recordings of lectures through our Canvas webpage.+Class meets every Tuesday and Thursday, 2:00 - 3:15 PM in [[https://​map.concept3d.com/?​id=748#​!m/​122441?​ce/​9550?​ct/​25059,​20556,​20377,​13646,​13645,​13644,​12106,​9554|Wagar Building]] ​[[https://​www.fm.colostate.edu/​sites/​default/​files/​maps/​0084-01.pdf|Room ​133]].  On-campus and distance-learning students will be able to watch video recordings of lectures through our Canvas webpage.
  
 ===== Prerequisites ===== ===== Prerequisites =====
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 There are no required text books for this course. ​ Readings may be assigned from the following on-line books. There are no required text books for this course. ​ Readings may be assigned from the following on-line books.
 +
  
 [[http://​www.labri.fr/​perso/​nrougier/​from-python-to-numpy/​|From Python to Numpy]] by Nicolas P. Rougier ​ [[http://​www.labri.fr/​perso/​nrougier/​from-python-to-numpy/​|From Python to Numpy]] by Nicolas P. Rougier ​
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 [[http://​incompleteideas.net/​book/​the-book.html|Reinforcement Learning: An Introduction]],​ by Richard Sutton and Andrew Barto, 2nd edition [[http://​incompleteideas.net/​book/​the-book.html|Reinforcement Learning: An Introduction]],​ by Richard Sutton and Andrew Barto, 2nd edition
 +
 +[[https://​mml-book.com|Mathematics for Machine Learning]] by Marc Peter Deisenroth, A Aldo Faisal, and Cheng Soon Ong
 +
 ===== Instructors ===== ===== Instructors =====
  
 ^    ^  Office ​ ^  Hours  ^  Contact ​ | ^    ^  Office ​ ^  Hours  ^  Contact ​ |
-^  [[http://​www.cs.colostate.edu/​~anderson|Chuck Anderson]] ​ |  Computer Science Building (CSB) Room 444  |    ​Wednesdays\\ 12:00 - 3:00 PM    ​| ​ chuck.anderson@colostate.edu\\ ​ 970-491-7491 ​ | +^  [[http://​www.cs.colostate.edu/​~anderson|Chuck Anderson]] ​ |  Computer Science Building (CSB) Room 444  |    ​CSB Room 444\\ Tuesday\\ 10:00 AM 12:00\\ or by appointment ​   ​| ​ chuck.anderson@colostate.edu\\ ​ 970-491-7491 ​ | 
-^  GTA: Ameni Trabelsi ​ |  CSB 235  ​| ​   |  ameni.trabelsi@colostate.edu ​  | +^  GTA: Ameni Trabelsi ​ |  CSB Room 415  ​| ​ CSB Room 120\\ Monday & Wednesday 10:00 AM - 12:​00  ​|  ameni.trabelsi@colostate.edu ​  | 
-^  GTA: Wen Qin   ​| ​ CSB   ​| ​    |      ​|+^  GTA: Wen Qin   |    ​|  CSB Room 120\\ Wednesday & Thursday\\ 8:00 AM - 10:00   |   wen.qin@colostate.edu ​   ​|
  
  
syllabus.1579043325.txt.gz · Last modified: 2020/01/14 16:08 by anderson