Computer & Logic Essentials
48 Hours
One Semester or equivalent
Available to incoming Study Abroad and Exchange students
Overview
This unit is designed to introduce students to fundamental mathematical concepts required in computer science and software development disciplines.
Requisites
Teaching periods
Location
Start and end dates
Last self-enrolment date
Census date
Last withdraw without fail date
Results released date
Learning outcomes
Students who successfully complete this unit will be able to:
- Solve problems related to computer science by using discrete mathematical concepts such as sets, relations, functions, logic, and combinatorics
- Demonstrate how data can be represented in digital form
- Apply the principles of Boolean algebra to simple circuits
- Explain the role of probability and statistics in computer science and software development
- Describe how discrete structures such as graphs are used in computer science
- Construct algorithms to solve problems and understand the principles of complexity
Teaching methods
Hawthorn
Type | Hours per week | Number of weeks | Total (number of hours) |
---|---|---|---|
Face to Face Contact (Phasing out) Lecture | 2.00 | 12 weeks | 24 |
Face to Face Contact (Phasing out) Tutorial | 2.00 | 12 weeks | 24 |
Unspecified Learning Activities (Phasing out) Independent Learning | 8.50 | 12 weeks | 102 |
TOTAL | 150 |
Assessment
Type | Task | Weighting | ULO's |
---|---|---|---|
Assignment | Individual/Group | 50% | 1,2,3,4,5,6 |
Examination | Individual | 50% | 1,2,3,4,5,6 |
Hurdle
As the minimum requirements of assessment to pass a unit and meet all ULOs to a minimum standard, an undergraduate student must have achieved:
(i) an aggregate mark of 50% or more, and(ii) at least 40% in the final exam.Students who do not successfully achieve hurdle requirement (ii) will receive a maximum of 45% as the total mark for the unit.
Content
- Algorithms, computability and complexity
- Data representation
- Set theory
- Propositional and Predicate logic
- Boolean algebra
- Probability and Statistics
- Basic graph theory
Study resources
Reading materials
A list of reading materials and/or required textbooks will be available in the Unit Outline on Canvas.