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COMP 3761 - Algorithm Analysis and Design

Computer Systems Part-time Studies Course

School of Computing and Academic Studies

Course Details

In this hands-on course, Java programming students who have also taken Discrete Math will develop their ability to analyze and design computer algorithms. In particular, learners will analyze the time and space complexity of programs, solve nontrivial programming problems using algorithmic techniques, and prove that their solution is correct. The emphasis will be on developing the practical skills of analysis and design. Topics include: evaluating time and space complexity and designing solutions by using appropriate data structures or applying techniques such as recursion, parsing and graph algorithms.

Prerequisite(s)

COMP 2121 and (COMP 2611 or COMP 2613)

Credits

4.0

Cost

$556.00

Winter 2018

Below is one offering of this course for the Winter 2018 term.

CRN 72095

Wed Jan 10 - Wed Mar 28 12 Weeks

Class Meeting Times

Dates Days Times Locations
Jan 10 - Mar 28 Wed 18:00 - 22:00 BBY SE12 Rm. 322

Instructor

Neilson Mackay

Course Outline

Cost

$556.00

Notes

  1. *(A)* REGISTRATION: No registration is permitted after the course has started without department approval.

This course offering is in progress and full. Please check back next term, subscribe to receive email updates or contact us with your comments or questions.

In Progress and Full

Learning Outcomes

Upon successful completion of this course, the student will be able to:

  • Understand the basic framework of algorithm analysis.
  • Analyze pseudo-code using asymptotic notations.
  • Compare the order of growth of different algorithms.
  • Understand the differences between nonrecursive and recursive algorithms.
  • Describe some common algorithm design strategies: Divide and Conquer, Transform and Conquer, Greedy Technique, Graph Algorithm, dynamic programming, etc.
  • Recognize different types of computing problems and how to solve them.
  • Apply algorithm design techniques to solve some practical problems.
  • Specify algorithms in pseudocode.
  • Implement solutions by using appropriate data structures.
  • Deduce the complexity of a program by running different experiments.
  • Argue the correctness of the algorithms.
  • Find lower bounds for some simple problems.

Effective as of Winter 2011

Related Programs

COMP 3761 is offered as a part of the following programs:

School of Computing and Academic Studies

  1. Computer Systems
    Part-time   Diploma

Books & Supplies

The BCIT bookstore carries textbooks, general reference books, software, and stationery. Please visit bcit.ca/bookstore for more information.

Winter 2018

Books for Winter 2018 offerings of this course are available in the following BCIT online bookstores. Please choose the bookstore appropriate for the offering you are considering.

BCIT Burnaby Bookstore

If you are taking this course, but are not taking it through either Distance Education or Online Learning, nor at the BCIT Downtown Campus (DTC), please purchase books for this course at the BCIT Burnaby Bookstore.

Introduction to the Design and Analysis of Algorithms (3rd Edition)
Author Anany Levitin
Publisher Pearson
Copyright 2012
Binding Paperback
ISBN 978-0-13231-681-1
Price $213.95
Required

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Registration is currently open for the Winter 2018 term.

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