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syllabus [2020/07/21 16:11] anderson |
syllabus [2020/08/23 15:18] anderson [Instructors] |
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We will be using [[https:// | We will be using [[https:// | ||
- | solutions. | + | solutions. |
- | work through on-line tutorials to help prepare for this course. | + | and its numpy package is helpful. |
- | Experience with writing Python programs | + | download and install Python on your computer, and work through on-line |
- | an introduction to Python will be presented | + | tutorials to help prepare for this course. |
+ | [[https:// | ||
+ | recommended, | ||
+ | A quick review of Python will be presented | ||
of the semester. | of the semester. | ||
Line 29: | Line 32: | ||
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/ | + | other students, but <color red/ |
- | You are expected to be familiar with the [[http:// | + | You are expected to be familiar with the |
- | This course will adhere to the CSU Academic Integrity Policy as found in the [[http:// | + | [[http:// |
+ | policy on cheating]] and with the | ||
+ | [[http:// | ||
+ | Code of Ethics]]. | ||
+ | Integrity Policy as found in the | ||
+ | [[http:// | ||
+ | Catalog]] and the | ||
+ | [[http:// | ||
+ | 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 | + | Class meets every Tuesday |
+ | a Microsoft Teams meeting** that you can find [[https:// | ||
===== Prerequisites ===== | ===== Prerequisites ===== | ||
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^ ^ Office | ^ ^ Office | ||
- | ^ [[http:// | + | ^ [[http:// |
- | ^ GTA: Wen Qin | + | ^ GTA: Apoorv Pandey |
- | ^ GTA: Mohamed Chaabane | + | ^ GTA: Chaitanya Roygaga |
===== Grading ===== | ===== Grading ===== | ||
- | Your grade for this course will be based only on the assignments, | + | Your grade for this course will be based only on the assignments, |
+ | 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. | ||
+ | notebook will be graded for correct implementation and results, | ||
+ | interesting and thorough discussion, and good organization, | ||
+ | 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. | + | We plan for six to seven 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, | * 80% regular assignments, | ||
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* 18% for the project written report | * 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. | + | 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. | + | Late assignment solutions will not be accepted, unless you make |
+ | arrangements with the instructor at least two days before the due | ||
+ | date. | ||