syllabus
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syllabus [2017/09/05 07:19] 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 | + | algorithms and concepts in Artificial |
| Intelligence. | Intelligence. | ||
| fundamentals to philosophical issues in Artificial | fundamentals to philosophical issues in Artificial | ||
| Line 10: | Line 10: | ||
| 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. | modified. Other topics will be covered as time permits. | ||
| - | complete a number of written and programming assignments and a | + | complete a number of 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:// | We will be using [[https:// | ||
| solutions. You may download and install Python on your computer, and | solutions. You may download and install Python on your computer, and | ||
| - | work through | + | 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 | ||
| Line 34: | Line 33: | ||
| You are expected to be familiar with the [[http:// | You are expected to be familiar with the [[http:// | ||
| This course will adhere to the CSU Academic Integrity Policy as found in the [[http:// | This course will adhere to the CSU Academic Integrity Policy as found in the [[http:// | ||
| - | |||
| - | 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 ===== | ||
| - | Class meets every Tuesday | + | Class meets every Monday, Wednesday |
| ===== Prerequisites ===== | ===== Prerequisites ===== | ||
| Line 56: | Line 53: | ||
| ^ ^ Office | ^ ^ Office | ||
| - | ^ [[http:// | + | ^ [[http:// |
| - | ^ GTA: Dejan Markovikj | + | ^ GTA: Wen Qin |
| - | ^ GTA: Kartikay Sharma | + | ^ GTA: Mohamed Chaabane |
syllabus.txt · Last modified: 2020/12/06 10:37 by anderson
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