# Course Title: Mathematics for Computing

## Part A: Course Overview

Course Title: Mathematics for Computing

Credit Points: 12.00

## Terms

### Teaching Period(s)

MATH1072

City Campus

145H Mathematical & Geospatial Sciences

Face-to-Face

Sem 2 2006,
Sem 2 2007

MATH1074

City Campus

145H Mathematical & Geospatial Sciences

Face-to-Face

Sem 2 2006,
Sem 1 2007,
Sem 2 2007,
Sem 1 2008,
Sem 2 2008,
Sem 1 2009,
Sem 2 2009,
Sem 1 2010,
Sem 2 2010,
Sem 1 2011,
Sem 2 2011,
Sem 1 2012,
Sem 2 2012,
Sem 1 2013,
Sem 2 2013,
Sem 1 2014,
Sem 2 2014,
Sem 1 2015,
Sem 2 2015,
Sem 1 2016

MATH2081

RMIT University Vietnam

145H Mathematical & Geospatial Sciences

Face-to-Face

Viet1 2008,
Viet2 2008,
Viet3 2008,
Viet1 2009,
Viet2 2009,
Viet3 2009,
Viet1 2010,
Viet2 2010,
Viet3 2010,
Viet1 2011,
Viet2 2011,
Viet3 2011,
Viet1 2012,
Viet2 2012,
Viet3 2012,
Viet1 2013,
Viet2 2013,
Viet3 2013,
Viet2 2014,
Viet3 2014,
Viet3 2015,
Viet1 2016,
Viet2 2016

MATH2081

RMIT University Vietnam

171H School of Science

Face-to-Face

Viet2 2017

MATH2111

Taylors College KL

145H Mathematical & Geospatial Sciences

Face-to-Face

Offsh 3 10,
Offsh 1 11

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

N/A

On completion of this course you should be able to:

1. Identify and apply basic concepts of set theory, arithmetic, logic, proof techniques, binary relations, graphs and trees, counting methods and probability.
2. Produce convincing arguments, conceive and/or analyse basic mathematical proofs and discriminate between valid and fallacious arguments.
3. Apply the knowledge and skills obtained to investigate and solve a variety of discrete mathematical problems
4. Communicate both technical and non-technical material in a range of forms (written, oral, electronic, graphic).
5. 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.