ITO4001 Mathematics for computer science
Faculty of Information Technology
ITO4001 Mathematics for computer science is a level 4, 6-credit-point, postgraduate unit from the Faculty of Information Technology. It isn't offered in 2022. It has no prerequisites.
- Credit points
- 6
- Offered in 2022
- Not offered
- Assessment
- No exam
- 3 tasks
This is the 2022 handbook entry. See the 2027 entry.
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Requisites
Before ITO4001
Prohibitions
You can't enrol if you have passed any of these.
After ITO4001
No unit lists ITO4001 as a prerequisite in the 2022 handbook.
Enrolment rules
This unit is only available to students enrolled into C4009 Graduate Certificate of Computer Science, C5008 Graduate Diploma of Computer Science or C6008 Master of Computer Science.
Overview
This unit will cover mathematical topics fundamental to computer science and statistics and provides the foundation in mathematics you need to complete subsequent units in this course. This unit focuses on the foundations of calculus, linear algebra and probability over continuous problems.
Offerings in 2022
The 2022 handbook lists no offerings for ITO4001.
Assessment
- Assessment 1Other30%
- Assessment 2Other30%
- Assessment 3Other40%
Learning outcomes
When you finish this unit, you should be able to:
- 1
Perform key skills in the calculus of functions of several variables including the calculation of partial derivatives, find tangent planes and identify stationary points, root findings and convexity for optimisation.
- 2
Explain fundamental concepts in calculus including basic differentiation and integration, and composite, inverse and parametric functions.
- 3
Demonstrate basic knowledge and skills of linear algebra, including the manipulation of matrices, solution of linear systems, and evaluate and apply determinants.
- 4
Describe the principles of elementary probability theory, evaluate conditional probabilities and use Bayes' Theorem.
- 5
Demonstrate an understanding of the fundamentals of continuous probability and statistics, including constructing models for predictive and inferential statistical analysis, performing fundamental random sampling and hypothesis testing and interpreting the results for a variety of models.
- 6
Use trees and graphs to solve problems in computer science.
Workload and teaching
- Teaching approachOnline learning
Common questions
What are the prerequisites for ITO4001?
ITO4001 has no prerequisites, but enrolment rules apply.
When is ITO4001 offered?
ITO4001 has no offerings listed in the 2022 handbook.
Does ITO4001 have an exam?
No. ITO4001 has 3 assessment tasks and no exam.