Computational Thinking and Algorithms

This subject is available under ICMS undergraduate degrees, please click the button below to find an undergraduate course for you.

Subject Code:

DAT202A

Subject Type:

Specialisation 

Credit Points:

3 credit points

Pre-requisite/Co-requisite: 

Course level of study pre-requisite: a total of 12 credit points including ICT101A, ICT102A, ICT103A and DAT101A from level 100 core subjects prior to enrolling into level 200 core and specialisation subjects. 

Subject Level:

200

Subject Rationale:

Computational thinking encompasses an interrelated set of problem-solving practices and techniques that allows expressing problems and their solutions in ways that computers could also execute. Learning to “reason” like a computer enables students to become better problem solvers across a broad range of careers.   

This subject equips students with the fundamental skills to design and solve complex computational problems using Python programming language. Students will be introduced to the foundations of computing, mathematical notations, and algorithms. They will learn to develop solutions to a variety of problems through the application of the core computational thinking pillars of decomposition, pattern recognition, abstraction, and algorithmic thinking.  

The subject will help students to understand how to systematically break down complex problems into manageable sub-problems and develop efficient procedures and algorithmic solutions using Python programming language. 

Learning Outcomes:

a) Use logic reasoning and analytical skills to evaluate and develop algorithmic solutions.

b) Analyse and deconstruct business problems to determine appropriate solutions that can be solved with algorithms.

c) Determine appropriate inputs and outputs for a range of algorithmic problems.

d) Design solutions to a range of problems by applying computational thinking pillars of decomposition, pattern recognition, abstraction, and algorithms.

e) Construct, implement, and test algorithms in Python to solve a range of business problems.

Student Assessment:

Broad Topics to be Covered:

Please note that these topics are often refined and subject to change so for up to date weekly topics and suggested reading resources, please refer to the Moodle subject page.