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syllabus [2016/12/14 07:40] anderson [Textbook] |
syllabus [2020/12/06 10:37] (current) anderson [Grading] |
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===== Description ===== | ===== Description ===== | ||
- | This course | + | The course |
+ | algorithms | ||
+ | Intelligence. Class discussions | ||
+ | fundamentals | ||
+ | Intelligence. Programs implementing problem-solving search, logical | ||
+ | reasoning. and machine learning techniques will be studied and | ||
+ | modified. Other topics will be covered as time permits. | ||
+ | complete a number of programming assignments and a | ||
+ | semester project. | ||
- | * read data files of various formats and visualize characteristics of the data, | + | We will be using [[https:// |
- | * perform statistical analyses on multivariate data, | + | solutions. Previous experience with Python |
- | * develop | + | and its numpy package is helpful. |
- | * develop and apply regression algorithms | + | download |
- | * develop | + | tutorials to help prepare for this course. |
- | | + | [[https:// |
+ | recommended, which is a free download for all platforms. | ||
+ | A quick review of Python will be presented in the first week | ||
+ | of the semester. | ||
- | For implementations we will be using [[https:// | + | Class meetings will be a combination of lectures by the instructor |
- | + | discussions of your questions. | |
- | Class meetings will be a combination of lectures by the instructor, discussions of students' | + | assigned |
- | + | welcome, no matter how simple you think they are; it is always true | |
- | A lot of material will be covered in this course. Students | + | that someone else has a similar question. Do not expect to be able to |
- | + | complete all assignments working on your own and not asking any | |
- | You are expected to be familiar with the [[http://www.cs.colostate.edu/ | + | questions. If you find yourself wondering what the next step is in |
+ | finishing an assignment, | ||
+ | graduate teaching assistant. You may also discuss assignments with | ||
+ | other students, but <color red/ | ||
+ | You are expected to be familiar with the | ||
+ | [[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:// | ||
+ | During the lecture please leave your microphone muted. | ||
===== Prerequisites ===== | ===== Prerequisites ===== | ||
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===== Textbook ===== | ===== Textbook ===== | ||
- | There are no required text books for this course. | + | Required: |
- | + | Modern Approach]], third edition. | |
- | [[http://www.deeplearningbook.org/|Deep Learning]] by Ian Goodfellow, Yoshua Bengio, and Aaron Courville | + | [[http://www.cs.berkeley.edu/~russell/|Stuart Russell]] and |
- | + | [[http://www.norvig.com/|Peter Norvig]]. | |
- | [[http://webdocs.cs.ualberta.ca/~sutton/book/ | + | |
- | + | ||
- | [[http://shop.oreilly.com/product/ | + | |
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^ ^ Office | ^ ^ Office | ||
- | ^ [[http:// | + | ^ [[http:// |
- | ^ GTA: [[http://www.cs.colostate.edu/ | + | ^ GTA:\\ |
+ | ^ GTA: | ||
===== Grading ===== | ===== Grading ===== | ||
- | Your grade for this course will be based only on the assignments, | + | Your grade for this course will be based only on six to eight assignments, |
+ | of which will require the submission of a jupyter | ||
+ | includes | ||
+ | notebook will be graded for correct implementation and results, | ||
+ | interesting and thorough discussion, and good organization, | ||
+ | and spelling. | ||
- | We plan for five regular assignments during | + | At the end of the semester, |
- | * 2% for the proposal | + | |
- | * 18% for the written report | + | |
- | The calculation of the final letter grade will be made as follows: | + | 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 from the standard rubric, | ||
+ | but will not be raised, based on the distribution of semester average | ||
+ | grades for the class. | ||
- | * A 90 - 100% | + | Late assignment solutions will not be accepted, unless you make |
- | * B 80 - 89.9% | + | arrangements with the instructor at least two days before the due |
- | * C 70 - 79.9% | + | date. |
- | * D 60 - 69.9% | + | |
- | * F below 60% | + | |
- | These ranges for a letter grade might be shifted a little lower, but will not be raised. | ||
- | Late reports will not be accepted, unless you make arrangements with the instructor at least two days before the due date. |