Course Title: Mathematics for Computing

Part A: Course Overview

Course Title: Mathematics for Computing

Credit Points: 12

Course Code	Campus	Career	School	Learning Mode	Teaching Period(s)
MATH1072	City Campus	Postgraduate	145H Mathematical & Geospatial Sci	Face-to-Face	Sem 2 2006, Sem 2 2007
MATH1074	City Campus	Undergraduate	145H Mathematical & Geospatial Sci	Face-to-Face	Sem 2 2006, Sem 1 2007, Sem 2 2007, Sem 1 2008, Sem 2 2008
MATH2081	RMIT Intl University Vietnam	Undergraduate	145H Mathematical & Geospatial Sci	Face-to-Face	Viet1 2008, Viet2 2008, Viet3 2008

Course Coordinator: Dr Graham Clarke

Course Coordinator Phone: +61 3 9925 3225

Course Coordinator Email:g.clarke@rmit.edu.au

Course Coordinator Location: 8.9.62

Pre-requisite Courses and Assumed Knowledge and Capabilities

None

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 successful completion of this course, you will have gained greater knowledge of some key areas of discrete mathematics. You will also have developed your mathematical skills, your analytical and critical thinking abilities, your ability to apply these capabilities to practical problems, and your ability to communicate your knowledge of these areas.

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.

Overview of Learning Resources

Recommended References:

Bradley, J., "Introduction to Discrete Mathematics", 1988, Adison Wesley.

Johnsonbaugh, R., "Discrete Mathematics" (4th Edn., 1997 or 5th Edn., 2000 or 6th Edn., 2004), Prentice Hall.

Skvarcius, R., and Robinson, W.B., "Discrete Mathematics with Computer Science Applications", 1986, Benjamin/Cummings.

On-Line Lectures:

On-line lectures accessible via the Learning Hub, at:

http://www.rmit.edu.au/online

A student’s NDS username and password give access to the Learning Hub.

Self-assessment Quizzes:

"WebLearn" quizzes, accessible from the Learning Hub, will give immediate feedback to you about your understanding of the subject matter.

Overview of Assessment

The assessment is based on a combination of online tests and tests conducted in practice classes, and a final examination.