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syllabus [2017/07/03 11:07]
anderson [Time and Place]
syllabus [2018/08/31 07:01]
127.0.0.1 external edit
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 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 written and programming assignments and a
-semester project.  During the last week of class, semester projects +semester project.
-will be presented by students.+
  
 We will be using [[https://www.python.org/|Python]] for assignment We will be using [[https://www.python.org/|Python]] for assignment
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 ===== Time and Place ===== ===== Time and Place =====
  
-Class meets every Tuesday and Thursday11:00 am 12:15 am, in Room C111 in Aylesworth.  On-campus and distance-learning students will be able to watch video recordings of lectures.+Class meets every Monday, Wednesday and Friday3:00 pm 3:50 pm, in Clark A 202.  On-campus and distance-learning students will be able to watch video recordings of lectures.
  
 ===== Prerequisites ===== ===== Prerequisites =====
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 ^    ^  Office  ^  Hours  ^  Contact  | ^    ^  Office  ^  Hours  ^  Contact  |
-^  [[http://www.cs.colostate.edu/~anderson|Chuck Anderson]]  |  Computer Science Building (CSB) Room 444  |    Tuesdays 1-2Thursdays 2-  chuck.anderson@colostate.edu\\  970-491-7491 +^  [[http://www.cs.colostate.edu/~anderson|Chuck Anderson]]  |  Computer Science Building (CSB) Room 444  |  Room 444\\ WednesdayFriday 12-2 pm   chuck.anderson@colostate.edu\\  970-491-7491 
-^  GTAsto be announced    |  Room 120\\ to be announced     |+^  GTAWen 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, 12-2pm and  4-6 pm  |  chaabanemohamed2@gmail.com  |
  
  
 ===== Grading ===== ===== Grading =====
  
-Details of the course grading policy will be posted here.+Your grade for this course will be based only on the assignments, most of which will require the submission of a jupyter notebook that includes text descriptions of your methods, results and conclusions and the python code for defining and applying AI algorithms.  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. 
 + 
 +We plan for about six regular assignments during the semester. In total these will count for 80% of your semester grade. The final assignment is a project designed by you and is worth 20% of your semester grade. These percents are summarized in the following list. 
 + 
 +  * 80% regular assignments, from 10% to 16% each 
 +  * 2% for the project proposal 
 +  * 18% for the project written report 
 + 
 +The calculation of the final letter grade, which will include + and -, will be based on the standard grading scheme, with A+, A, and A- being for grades of 90% and above, B+, B, and B- for grades between 80% and 90%, etc.  The minimum grade for each letter grade might be lowered, but will not be raised, based on the distribution of semester average grades for the class. 
 + 
 +Late assignment solutions will not be accepted, unless you make arrangements with the instructor at least two days before the due date.
  
syllabus.txt · Last modified: 2020/12/06 10:37 by anderson