Fall 2017 - CMPT 102 D100

Introduction to Scientific Computer Programming (3)

Class Number: 7005

Delivery Method: In Person

Overview

  • Course Times + Location:

    Sep 5 – Dec 4, 2017: Mon, Wed, Fri, 9:30–10:20 a.m.
    Burnaby

  • Exam Times + Location:

    Dec 12, 2017
    Tue, 12:00–3:00 p.m.
    Burnaby

  • Corequisites:

    MATH 152 or 155 (or 158).

Description

CALENDAR DESCRIPTION:

A programming course which will provide the science student with a working knowledge of a scientific programming language and an introduction to computing concepts, structured programming, and modular design. The student will also gain knowledge in the use of programming environments including the use of numerical algorithm packages. Students with credit for CMPT 120, 128, 130 or 166 may not take this course for further credit. Students who have taken CMPT 125, 129 or 135 first may not then take this course for further credit. Quantitative.

COURSE DETAILS:

The course provides an introduction to computer programming and computing science specifically tailored to science students. Matlab will be used as the programming language. Matlab is widely used by scientists across all scientific disciplines. It is popular because it has a very large set of built-in mathematical and numerical routines, excellent graphing and plotting capabilities, and many specialized "toolkits." Furthermore, it is interactive. As a result, students can expect to learn learn about programming, about computing-related approaches to problem solving, about debugging strategies, and about a language they should find useful in their future scientific endeavours. The lectures will be given in CSIL (Computing Science Instruction Laboratory) so that students will be able to carry out some Matlab exercises during class. For additional information please see http://www.cs.sfu.ca/~funt/

Topics

  • Introduction to computing and programming
  • Getting started with Matlab
  • Matrix operations
  • Modular programming using functions
  • Control Structures, loops, conditionals
  • Implicit and explicit iteration
  • Debugging
  • Characters and String Processing
  • Recursion
  • Plotting

Grading

NOTES:

Assignments 25%, Midterm and quizzes 25%, Final exam 50%

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

REQUIRED READING:

Matlab for Engineers, 5th Edition, Holly Moore, Pearson, 2017

Any addition is acceptable including all the way back to the 1st edition
ISBN: 9780134589640

Registrar Notes:

SFU’s Academic Integrity web site http://students.sfu.ca/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

ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS