Mathematics for Computing

Unit Outline (Higher Education)

   
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Effective Term: 2025/05
Institute / School :Institute of Innovation, Science & Sustainability
Unit Title: Mathematics for Computing
Unit ID: ITWSU1038
Credit Points: 15.00
Prerequisite(s): Nil
Co-requisite(s): Nil
Exclusion(s): Nil
ASCED: 029999
Other Change:  
Brief description of the Unit

Mathematics forms the backbone of information and communication technology. Video games and multimedia programmers use linear algebra to control movement, actions and animations; analysts depend on number and graph theory to devise models of complex systems; data scientists and machine learning specialists use statistics to train their machine counterparts. The knowledge of mathematics is the difference between a good programmer and a great one. In this subject, we build a foundation of mathematical concepts that computing graduates require for their careers. During tutorials students will use an online interactive system allowing them to interactively explore mathematical concepts.

Grade Scheme: Graded (HD, D, C, P, MF, F, XF)
Work Experience Indicator:
No work experience
Placement Component:
Supplementary Assessment:Yes
Where supplementary assessment is available a student must have failed overall in the Unit but gained a final mark of 45 per cent or above, has completed all major assessment tasks (including all sub-components where a task has multiple parts) as specified in the Unit Description and is not eligible for any other form of supplementary assessment
Course Level:
Level of Unit in CourseAQF Level(s) of Course
5678910
Introductory                                        
Intermediate                                                
Advanced                                                
Learning Outcomes:
Knowledge:
K1.

Demonstrate an understanding of the basics of sets and functions, including exponentials and logarithms.

K2.

Demonstrate an understanding of algorithm efficiency by analysing some simple algorithms.

Skills:
S1.

Solve systems of equations with two and three unknowns and perform basic matrix operations.

S2.

Use trigonometry and coordinate systems, together with matrices and determinants, to solve problems and perform geometric (matrix) transformations (2D and some

simple 3D).

S3.

Solve introductory probability problems.

Application of knowledge and skills:
A1.

Work with various number systems relevant to computing and with modular arithmetic.

Unit Content:

· Revision of high school algebra

· Sets and functions

· Logarithms 

· Trigonometry

· Introductory Linear Algebra

· Coordinate systems, matrices, determinants, 2D and 3D geometric (matrix) transformations

· Numbers and modular arithmetic

· Introduction to probability

. Complexity of algorithms

Graduate Attributes:
 Learning Outcomes AssessedAssessment TasksAssessment TypeWeighting
1.K1, K2, S1, S2, S3, A1

Short answer quiz in tutorials 

Quiz

40%

2.K1, S1, S2

Intra-term exam

Intra-term exam

20%

3.K1, K2, S1, S2, S3, A1

2-hour final exam

2-hour final exam

40%

Adopted Reference Style:
APA  ()

Professional Standards / Competencies:
 Standard / Competency