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CS440: Introduction to Artificial Intelligence

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syllabus

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syllabus [2020/07/21 16:11]
anderson 		syllabus [2020/12/06 10:37] (current)
anderson [Grading]
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 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. Previous experience with Python 
-work through on-line tutorials to help prepare for this course. +and its numpy package is helpful.  To prepare for this course, please 
-Experience with writing Python programs is not expected but helpful; +download and install Python on your computer, and work through on-line 
-an introduction to Python will be presented during the first few weeks+tutorials to help prepare for this course.  The 
 +[[https://www.anaconda.com/distribution/|Anaconda distribution]] is 
 +recommended, which is a free download for all platforms. 
 +A quick review of Python will be presented in the first week 
 of the semester. of the semester.
  
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 finishing an assignment, visit or e-mail the instructor or the finishing an assignment, visit or e-mail the instructor or the
 graduate teaching assistant. You may also discuss assignments with graduate teaching assistant. You may also discuss assignments with
-other students, but <color red/white>your code must be written by you</color>. +other students, but <color red/white>your code must be written by you</color>.  
  
-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 
-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.+[[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.
  
 ===== Time and Place ===== ===== Time and Place =====
  
-Class meets every Monday, Wednesday and Friday, 3:00 pm - 3:50 pm, in Clark A 202.  On-campus and distance-learning students will be able to watch video recordings of lectures.+Class meets every Tuesday and Thursday, 2:00 PM - 3:15 PM, **on-line as 
 +a Microsoft Teams meeting** that you can find [[https://teams.microsoft.com/l/meetup-join/19%3a323d2d59a8f64282b836e440b8cb32d9%40thread.tacv2/1598126257845?context=%7b%22Tid%22%3a%22afb58802-ff7a-4bb1-ab21-367ff2ecfc8b%22%2c%22Oid%22%3a%22bcd6d782-40c2-430e-8091-fd9ebd260de7%22%7d|at this link]].  You may download Microsoft Teams apps for Windows, Mac, and Linux from [[https://docs.microsoft.com/en-us/microsoftteams/get-clients|this link at Microsoft]].
  
 +During the lecture please leave your microphone muted.  if you have a question or comment, feel free to interrupt the lecture by unmuting yourself and saying something like "Excuse me, I have a question".  Questions and comments are always welcome!!  I cannot guarantee that I will notice comments that you type in the Chat box.
 ===== 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  |  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\\ Room 444  |  Wednesdays\\ 9 - 10am\\  [[https://teams.microsoft.com/l/meetup-join/19%3a323d2d59a8f64282b836e440b8cb32d9%40thread.tacv2/1598288070646?context=%7b%22Tid%22%3a%22afb58802-ff7a-4bb1-ab21-367ff2ecfc8b%22%2c%22Oid%22%3a%22bcd6d782-40c2-430e-8091-fd9ebd260de7%22%7d|MS Teams link]]  |  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:\\  [[https://www.linkedin.com/in/apoorvdp/|Apoorv Pandey]]  |    |  Mondays\\ 2:00 - 4:00 PM\\ [[https://teams.microsoft.com/l/meetup-join/19%3a323d2d59a8f64282b836e440b8cb32d9%40thread.tacv2/1598300599034?context=%7b%22Tid%22%3a%22afb58802-ff7a-4bb1-ab21-367ff2ecfc8b%22%2c%22Oid%22%3a%22bcd6d782-40c2-430e-8091-fd9ebd260de7%22%7d|MS Teams Link]]   |   Apoorv.Pandey@colostate.edu  | 
-^  GTA: Mohamed Chaabane  |  Room 252, Desk 8  |  Room 120\\ Tuesday, 12-2pm and  4-6 pm  |  chaabanemohamed2@gmail.com  |+^  GTA:\\   [[https://www.linkedin.com/in/chaitanyaroygaga/|Chaitanya Roygaga]]  |   |  Fridays\\ 2:00 - 4:00 pm\\ [[https://teams.microsoft.com/l/meetup-join/19%3a323d2d59a8f64282b836e440b8cb32d9%40thread.tacv2/1598301087268?context=%7b%22Tid%22%3a%22afb58802-ff7a-4bb1-ab21-367ff2ecfc8b%22%2c%22Oid%22%3a%22bcd6d782-40c2-430e-8091-fd9ebd260de7%22%7d|MS Teams Link]]  |  Chaitanya.Roygaga@colostate.edu   |
  
  
 ===== Grading ===== ===== Grading =====
  
-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.+Your grade for this course will be based only on six to eight assignments, all 
 +of which will require the submission of a jupyter notebook that 
 +includes python code and and its application to specified problems and data.  In addition, each notebook must include thorough discussions of methods, results, and conclusions. Each 
 +notebook will be graded for correct implementation and results, 
 +interesting and thorough discussion, and good organization, grammar 
 +and spelling.
  
-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.+At the end of the semester, your lowest assignment grade will be dropped,  Your semester grade will be based on the average of your remaining 7 assignment grades. Each assignment will be equally weighted.
  
-  * 80% regular assignments, from 10% to 16% each +The calculation of the final letter grade, which will include + and -, 
-  * 2% for the project proposal +will be based on the standard grading scheme, with A+, A, and A- being 
-  * 18% for the project written report+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 from the standard rubric, 
 +but will not be raised, based on the distribution of semester average 
 +grades for the class.
  
-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 
-Late assignment solutions will not be accepted, unless you make arrangements with the instructor at least two days before the due date.+date.
  
syllabus.1595369494.txt.gz · Last modified: 2020/07/21 16:11 by anderson

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