This course assumes core computational thinking skills and is designed to be a natural follow-on from the CS1CT course for those who decide they wish to continue their study of Computing Science. The course develops students' ability to reason about elements of the software development process, including for example, complexity of algorithms, rigorous testing techniques and problem solving methodologies.

Wednesday and Friday at 12-1 in Semester 2

CS1P

None

Assignment (40%)

Exam (60%)

This course aims to develop in students the core computational thinking skills that are required to be able to understand, reason about, and manipulate the computational systems surrounding us, both natural and artificial.

By the end of this course students will be able to:

1. Produce top-level plans with refinements;

2. Translate well-structured plans into working programs;

3. Deploy testing strategies to identify and correct semantic errors in programs;

4. Analyse programs with a view to assessing their complexity;

5. Augment programs with error and event handling capabilities;

6. Develop user-defined data structures as part of the solution to problems;

7. Incorporate advanced techniques in solutions to problems, e.g. recursion;

8. Identify a number of standard algorithms, e.g. sorting and searching, and incorporate them effectively in solutions to problems;

9. Communicate their understanding of problems and their solutions clearly.