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syllabus [2018/08/26 23:05]
anderson [Instructors]
syllabus [2020/07/21 16:11]
anderson
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 The course objectives are to learn the fundamental theories, The course objectives are to learn the fundamental theories,
-algorithms and representational structures underlying Artificial+algorithms and concepts in Artificial
 Intelligence.  Class discussions will range from algorithm Intelligence.  Class discussions will range from algorithm
 fundamentals to philosophical issues in Artificial fundamentals to philosophical issues in Artificial
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 reasoning. and machine learning techniques will be studied and reasoning. and machine learning techniques will be studied and
 modified. Other topics will be covered as time permits.  Students must modified. Other topics will be covered as time permits.  Students must
-complete a number of written and programming assignments and a+complete a number of programming assignments and a
 semester project. semester project.
  
 We will be using [[https://www.python.org/|Python]] for assignment We will be using [[https://www.python.org/|Python]] for assignment
 solutions. You may download and install Python on your computer, and solutions. You may download and install Python on your computer, and
-work through the on-line tutorials to help prepare for this course.+work through on-line tutorials to help prepare for this course.
 Experience with writing Python programs is not expected but helpful; Experience with writing Python programs is not expected but helpful;
 an introduction to Python will be presented during the first few weeks an introduction to Python will be presented during the first few weeks
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 You are expected to be familiar with the [[http://www.cs.colostate.edu/advising/student-info.html|CS Department policy on cheating]] and with the [[http://www.cs.colostate.edu/advising/CodeOfConduct.pdf|CS Department Code of Ethics]]. You are expected to be familiar with the [[http://www.cs.colostate.edu/advising/student-info.html|CS Department policy on cheating]] and with the [[http://www.cs.colostate.edu/advising/CodeOfConduct.pdf|CS Department Code of Ethics]].
 This course will adhere to the CSU Academic Integrity Policy as found in the [[http://www.catalog.colostate.edu/FrontPDF/1.6POLICIES1112f.pdf|General Catalog]] and the [[http://www.conflictresolution.colostate.edu/conduct-code|Student Conduct Code]]. At a minimum, violations will result in a grading penalty in this course and a report to the Office of Conflict Resolution and Student Conduct Services. This course will adhere to the CSU Academic Integrity Policy as found in the [[http://www.catalog.colostate.edu/FrontPDF/1.6POLICIES1112f.pdf|General Catalog]] and the [[http://www.conflictresolution.colostate.edu/conduct-code|Student Conduct Code]]. At a minimum, violations will result in a grading penalty in this course and a report to the Office of Conflict Resolution and Student Conduct Services.
- 
-A lot of material will be covered in this course. Students are expected to speak up in class with questions and observations they have about the material. Do not expect to be able to complete all assignments working on your own and without asking any questions. If you find yourself wondering what the next step is in finishing an assignment, please feel free to e-mail the instructor. You may also discuss assignments with other students, but your code and report must be written by you. 
  
 ===== Time and Place ===== ===== Time and Place =====
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 ^  [[http://www.cs.colostate.edu/~anderson|Chuck Anderson]]  |  Computer Science Building (CSB) Room 444  |  Room 444\\ Wednesday, Friday 12-2 pm  |  chuck.anderson@colostate.edu\\  970-491-7491  | ^  [[http://www.cs.colostate.edu/~anderson|Chuck Anderson]]  |  Computer Science Building (CSB) Room 444  |  Room 444\\ Wednesday, Friday 12-2 pm  |  chuck.anderson@colostate.edu\\  970-491-7491  |
 ^  GTA: Wen Qin |  Room 415, Desk 11  |  Room 120\\ Monday, Wednesday, 4-6 pm  |  wen.qin@colostate.edu  | ^  GTA: Wen Qin |  Room 415, Desk 11  |  Room 120\\ Monday, Wednesday, 4-6 pm  |  wen.qin@colostate.edu  |
-^  GTA: Mohamed Chaabane  |  Room 252, Desk 8  |  Room 120\\ Tuesday, Friday, 4-6 pm  |  chaabanemohamed2@gmail.com  |+^  GTA: Mohamed Chaabane  |  Room 252, Desk 8  |  Room 120\\ Tuesday, 12-2pm and  4-6 pm  |  chaabanemohamed2@gmail.com  |
  
  
syllabus.txt ยท Last modified: 2020/12/06 10:37 by anderson