Course Description | This course includes: Analysis of algorithms, Graph algorithms, Greedy algorithms, Divide-and-conquer, Dynamic programming, Network flow, NP-completeness, Undecidability, Approximation algorithms, Randomized algorithms. |
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Prerequisites | The following coursework with a grade of at least C- in each course: CS 311 or 311H, CS 314 or 314H, CS 429 or 429H; M 408C or 408N; SSC 321 or M 362K; and a pre-req or co-req of M 340L or SSC 329C. | ||||||||||||||||||||||
Lecture Times and Locations | T Th 11:00 a.m.- 12:30 p.m. (at GDC 1.304) (50930/50935) |
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Textbook | Algorithm Design by Kleinberg and Tardos (Addison-Wesley, 2006). | ||||||||||||||||||||||
Instructor | Fares Fraij
No office hours in first week of classes. | ||||||||||||||||||||||
Teaching and Undergraduate Course Assistants | Names, contacts, and office hours will be posted on ED Discussion. | ||||||||||||||||||||||
Discussion Section Times and Locations |
F 10:00 a.m. - 11:00 a.m. in GDC 4.304 (50930) - Lead by TBA |
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Quantitative Reasoning (QR) flag | This course carries the Quantitative Reasoning flag. Quantitative Reasoning courses are designed to equip you with skills that are necessary for understanding the types of quantitative arguments you will regularly encounter in your adult and professional life. You should therefore expect a substantial portion of your grade to come from your use of quantitative skills to analyze real-world problems. | ||||||||||||||||||||||
Grade Basis | Each student's overall raw score, out of 100 points, is distributed as follows.
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Letter Grade |
The mapping from overall raw scores to letter grades will depend somewhat on the overall performance of the class. The nominal cutoffs are as follows.
These nominal cutoffs will not be increased; for example, a student achieving a raw score of 90 is guaranteed to receive an A in the course. However, these cutoffs might be lowered if necessary in order to improve the grade distribution. |
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Make-Up Tests |
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Feedback | Throughout the semester, please feel free to provide feedback to the instructor regarding any aspect of the course. | ||||||||||||||||||||||