This course teaches the concepts of computational thinking and how it is applied in programming, then build up key knowledge in the selections and implementations of appropriate data structures and algorithms for efficient and effective software developments and implementations. It also introduces the students to the IP right and license issues for digital content creation and dissemination.
| AUs | 4.0 AUs |
| Grade Type | |
| Prerequisite | Must be a Turing AI Scholar |
| Exam |
Prerequisite Graph
Required first
Programming With Data Structures & Algorithms
Available Indexes
| Mon | Tue | Wed | Thu | Fri | |
|---|---|---|---|---|---|
| 930 | 10416 SEM (TAIS1) 0930-1220 Thu LHN-TR+36 | ||||
| 1000 | |||||
| 1030 | |||||
| 1100 | |||||
| 1130 | |||||
| 1200 |
Other Relevant Mods
SC1001
Introduction To Computational Thinking & Programming
SC1004
Linear Algebra For Computing
SC1005
Digital Logic
SC1006
Computer Organisation & Architecture
SC1007
Data Structures & Algorithms
SC1008
C & C++ Programming
SC1013
Physics For Computing
SC1123
Math 1: Linear Algebra & Calculus For Computing
SC1301
Language & Logic