Spring 2022 - CMPT 705 G100

Design and Analysis of Algorithms (3)

Class Number: 5611

Delivery Method: In Person


  • Course Times + Location:

    Jan 10 – Apr 11, 2022: Mon, 12:30–2:20 p.m.

    Jan 10 – Apr 11, 2022: Wed, 12:30–1:20 p.m.

  • Exam Times + Location:

    Apr 21, 2022
    Thu, 3:30–6:30 p.m.



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.


The goal of this course is to provide a solid theoretical basis for the design and analysis of algorithms used throughout different branches of computer science. By the end of this course students will be able to design their own algorithms for commonly encountered computational problems and analyze their efficiency, or prove that an efficient algorithm is unlikely to exist and design and evaluate an approximation algorithm.


  • Greedy Algorithms
  • Dynamic Programming
  • Linear Programming
  • Approximation Algorithms
  • Randomized Algorithms
  • NP-Completeness



To 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).



Reference Books:
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

Algorithms, Sanjoy Dasgupta, Christos Papadimitriou, Umesh Vazirani, McGraw-Hill Education, 2006, 9780073523408


Algorithm Design, J. Kleinberg, E. Tardos, Addison-Wesley, 2006
ISBN: 9780321295354

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.

Registrar Notes:


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 spring 2022 will involve primarily in-person instruction, with safety plans in place.  Some courses will still be offered through remote methods, and if so, this will be clearly identified in the schedule of classes.  You will also know at enrollment whether remote course components will be “live” (synchronous) or at your own pace (asynchronous).

Enrolling in a course acknowledges that you are able to attend in whatever format is required.  You should not enroll in a course that is in-person if you are not able to return to campus, and should be aware 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.

Students with hidden or visible disabilities who may need class or exam accommodations, including in the context of remote learning, are advised to register with the SFU Centre for Accessible Learning (caladmin@sfu.ca or 778-782-3112) as early as possible in order to prepare for the spring 2022 term.