Fall 2020 - CMPT 705 G100
Design and Analysis of Algorithms (3)
Class Number: 6664
Delivery Method: In Person
Course Times + Location:
Mo, We, Fr 9:30 AM – 10:20 AM
REMOTE LEARNING, Burnaby
Exam Times + Location:
Dec 19, 2020
7:00 PM – 10:00 PM
REMOTE LEARNING, Burnaby
1 778 782-6705
The objective of this course is to expose students to basic techniques in algorithm design and analysis. Topics will include greedy algorithms, dynamic programming, advanced data structures, network flows, randomized algorithms. Students with credit for CMPT 706 may not take this course for further credit.
This is an advanced course on algorithms. We will review basic paradigms of algorithm design (greedy, divide-and-conquer, dynamic programming, etc.), and then explore some of the more advanced topics (e.g., NP-completeness, randomized algorithms, approximation algorithms, algorithms for special cases of NP-hard problems, etc.)
- Greedy Algorithms
- Divide and Conquer
- Dynamic Programming
- Network Flow
- NP and Computational Intractability
- Approximation Algorithms
- Randomized Algorithms
- Algorithms for special cases of NP-hard problems
- Slected topics on advanced algorithms
The lectures will be delivered online at the scheduled class time (currently 9:30-10:20am, M/W/F), recorded and posted at some website. Grading will be based on assignments, midterm tests and final exam. Details will be announced during the first week of classes.
Students must attain an overall passing grade on the weighted average of exams in the course in order to obtain a clear pass (C- or better).
MATERIALS + SUPPLIES:
- Introduction to Algorithms, 3rd Edition, T. Cormen, C. Leiserson, R. Rivest, C. Stein, McGraw Hill, 2003, 9780262033848
- Computers and Intractability: A Guide To The Theory Of NP-Completeness, M. R. Garey, D. S. Johnson, W. H. Freeman, 1979, 9780716710455
- Algorithm Design
- J. Kleinberg, E. Tardos
Graduate Studies Notes:
Important dates and deadlines for graduate students are found here: http://www.sfu.ca/dean-gradstudies/current/important_dates/guidelines.html. The deadline to drop a course with a 100% refund is the end of week 2. The deadline to drop with no notation on your transcript is the end of week 3.
ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS
SFU’s Academic Integrity web site http://www.sfu.ca/students/academicintegrity.html is filled with information on what is meant by academic dishonesty, where you can find resources to help with your studies and the consequences of cheating. Check out the site for more information and videos that help explain the issues in plain English.
Each student is responsible for his or her conduct as it affects the University community. Academic dishonesty, in whatever form, is ultimately destructive of the values of the University. Furthermore, it is unfair and discouraging to the majority of students who pursue their studies honestly. Scholarly integrity is required of all members of the University. http://www.sfu.ca/policies/gazette/student/s10-01.html
TEACHING AT SFU IN FALL 2020
Teaching at SFU in fall 2020 will be conducted primarily through remote methods. There will be in-person course components in a few exceptional cases where this is fundamental to the educational goals of the course. Such course components will be clearly identified at registration, as will course components that will be “live” (synchronous) vs. at your own pace (asynchronous). Enrollment acknowledges that remote study may entail different modes of learning, interaction with your instructor, and ways of getting feedback on your work than may be the case for in-person classes. To ensure you can access all course materials, we recommend you have access to a computer with a microphone and camera, and the internet. In some cases your instructor may use Zoom or other means requiring a camera and microphone to invigilate exams. If proctoring software will be used, this will be confirmed in the first week of class.Students with hidden or visible disabilities who believe they may need class or exam accommodations, including in the current context of remote learning, are encouraged to register with the SFU Centre for Accessible Learning (firstname.lastname@example.org or 778-782-3112).