Mathematics for Computing

RMIT University Vietnam

Course Description

  • Course Name

    Mathematics for Computing

  • Host University

    RMIT University Vietnam

  • Location

    Ho Chi Minh City, Vietnam

  • Area of Study

    Computer Engineering, Computer Programming, Computer Science, Information Technologies, Mathematics

  • Language Level

    Taught In English

    Hours & Credits

  • Host University Units

    12
  • Recommended U.S. Semester Credits
    4
  • Recommended U.S. Quarter Units
    6
  • Overview

    Course Description

    Mathematics for Computing introduces and studies (with an emphasis on problem solving) many of the fundamental ideas and methods of discrete mathematics that are the tools of the computer scientist. It is a joint prerequisite (with MATH2041 or equivalent) for higher-year mathematics courses available to computer science students. The course demonstrates the importance of discrete mathematics for computer science.

     

    Objectives/Learning Outcomes/Capability Development

    On completion of this course you should be able to:

    • Identify and apply basic concepts of set theory, arithmetic, logic, proof techniques, binary relations, graphs and trees, counting methods and probability.
    • Produce convincing arguments, conceive and/or analyse basic mathematical proofs and discriminate between valid and fallacious arguments.
    • Apply the knowledge and skills obtained to investigate and solve a variety of discrete mathematical problems
    • Communicate both technical and non-technical material in a range of forms (written, oral, electronic, graphic).
    • Demonstrate effective use of appropriate technology.
       

    Overview of Learning Activities

    Key concepts and their application will be explained and illustrated (with many examples) in lectures and in online notes. Supervised problem-based practice classes will build your capacity to solve problems and to think critically and analytically and give you feedback on your understanding and academic progress. Online tests and quizzes will consolidate your basic skills, e.g. in algebra and gaps in your basic knowledge of the topics presented in class. Homework problems set from the textbook and self-help tutorial questions will provide a focus for your private study.

    Total Study Hours

    Four hours per week for one semester compromising lectures, laboratory sessions and class exercises. You may need to study an additional four hours per week outside of class activities.

     

    Overview of Learning Resources

    All course material will be provided online through myRMIT Studies. These resources will include lecture notes on selected topics, slides, articles, internet links and exercises. Some additional supporting documents can be found at http://rmit.libguides.com/mathstats

     

    Overview of Assessment

    This course has no hurdle requirements.

    Assessment Tasks

    Assessment Task 1: Class Tests 
    Weighting 35%
    This assessment task supports CLOs 1, 2, 3,4
    Three class tests at regular intervals, the first before the end of Week 4. Each test assesses a precise part of the course. Sample examples will be provided through Blackboard.

    Assessment Task 2: WebLearn Tests 
    Weighting 15%
    This assessment task supports CLOs 1, 2, 3, 4,5
    WebLearn online tests are scheduled from Week 2 to Week 11, and only the best 80% are taken into account. You will train yourself with practice quizzes before completing the test. This assessment allows you to learn the basic knowledge directly in connection with the topic of the previous week.

    Assessment Task 3: Final Exam 
    Weighting 50% 
    This assessment supports CLOs 1, 2, 3,4