Mathematics for Computing
RMIT University Vietnam
Ho Chi Minh City, Vietnam
Area of Study
Computer Engineering, Computer Programming, Computer Science, Information Technologies, Mathematics
Taught In English
Host University Units12
Recommended U.S. Semester Credits3
Recommended U.S. Quarter Units4.5
Hours & Credits
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 Task 1: Class Tests
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
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
This assessment supports CLOs 1, 2, 3,4