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syllabus [2015/11/09 12:57] anderson |
syllabus [2017/08/15 10:35] anderson [Instructors] |
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===== Description ===== | ===== Description ===== | ||
- | This course | + | The course |
+ | algorithms | ||
+ | Intelligence. | ||
+ | fundamentals to philosophical issues | ||
+ | Intelligence. Programs implementing problem-solving search, logical | ||
+ | reasoning. and machine | ||
+ | modified. Other topics will be covered as time permits. | ||
+ | complete a number of written and programming assignments and a | ||
+ | semester project. | ||
+ | will be presented by students. | ||
- | * read data files of various formats | + | We will be using [[https:// |
- | * perform statistical analyses | + | solutions. You may download |
- | * develop and apply pattern classification algorithms | + | work through the on-line tutorials |
- | * develop and apply regression algorithms | + | Experience with writing Python programs is not expected but helpful; |
- | * develop and apply reinforcement learning algorithms for learning | + | an introduction |
- | * write scientific reports on computational machine learning methods, results and conclusions. | + | of the semester. |
- | For implementations we will be using [[https:// | + | Class meetings |
+ | discussions of your questions. You are expected to have read the | ||
+ | assigned material before each class meeting. All questions are | ||
+ | welcome, no matter how simple you think they are; it is always true | ||
+ | that someone else has a similar question. Do not expect to be able to | ||
+ | complete all assignments working | ||
+ | questions. If you find yourself wondering what the next step is in | ||
+ | finishing an assignment, visit or e-mail the instructor or the | ||
+ | graduate teaching assistant. You may also discuss assignments with | ||
+ | other students, but <color red/ | ||
- | Class meetings will be a combination | + | You are expected to be familiar with 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. | 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. | ||
- | |||
- | You are expected to be familiar with the [[http:// | ||
- | |||
===== Time and Place ===== | ===== Time and Place ===== | ||
- | Class meets every Monday, Wednesday | + | Class meets every Tuesday |
===== Prerequisites ===== | ===== Prerequisites ===== | ||
- | CS320 | + | CS320 with a grade of C or better. |
===== Textbook ===== | ===== Textbook ===== | ||
- | === Required | + | Required: [[http:// |
- | + | Modern Approach]], third edition. by | |
- | [[http:// | + | [[http:// |
- | + | [[http:// | |
- | + | ||
- | === Optional === | + | |
- | On-line material is available on the course [[Resources]] web page. Other books that may be helpful are listed here. | ||
- | [[http:// | + | ===== Instructors ===== |
- | [[http://webdocs.cs.ualberta.ca/~sutton/ | + | ^ ^ Office |
+ | ^ | ||
+ | ^ GTA: Dejan Markovikj | Room 235 | 491-2556 | ||
+ | ^ GTA: Kartikay Sharma | Room 335 | 491-6275 | ||
+ | ===== Grading ===== | ||
+ | Details of the course grading policy will be posted here. | ||