Computational thinking (CT) is a problem solving process with the aid of computer; i.e. formulating a problem and expressing its solution in such a way that a computer can effectively carry it out. It includes a number of characteristics, such as breaking a problem into small and repetitive ordered steps, logically ordering and analyzing data and creating solutions that can be effectively implemented as algorithms running on computer. As such, CT is essential not only to the Computer Science discipline, but also can be used to support problem solving across all disciplines, including math, science, engineering, business, finance and humanities.
The aim of this course is hence to take you students with no prior experience of thinking in a computational manner to a point where you can derive simple algorithms and code programs to solve some basic problems in your domain of studies. You will also learn current computer languages, such as Python, for the coding. In addition, the course will include topics on the internal operations of a processor, and raise awareness on the socio-ethical issues arising from the pervasiveness of computing technology.
- AUs
- 3.0 AUs
- Grade Type
- None
- Prerequisite
- None
- Exam
- None
Prerequisite graph
Required first
Introduction to Computational Thinking
Unlocks
CB0494Introduction to Data Science & Artificial IntelligenceCE1015Introduction To Data Science & Artificial IntelligenceCE1115Introduction To Data Science & Artificial IntelligenceCH0494Introduction To Data Science & Artificial IntelligenceCZ1015Introduction To Data Science & Artificial IntelligenceCZ1115Introduction To Data Science & Artificial IntelligenceEE0005Introduction To Data Science & Artificial IntelligenceIE0005Introduction to Data Science & Artificial IntelligenceMA1602Robotics Programming FundamentalsMA5008Campus Ceo - Innovation to BusinessMH1403Algorithms & ComputingMS0003Introduction to Data Science & Artificial IntelligenceMS4671Introduction to Materials SimulationMS4672Machine Learning for Materials DesignSC3021Data Science Fundamentals+3 moreAvailable indexes
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| 830 | COMMON LEC (LE) 0830-0920 Mon LT1A, ONLINE Wk1-9,11-13, Teaching Wk10 | 23053 TUT (MA4) 0830-1020 Tue CAE2 LAB Wk2-13 | 23054 TUT (MA5) 0830-1020 Tue CAE2 LAB Wk2-13 | 23057 TUT (MA8) 0830-1020 Wed CAE2 LAB Wk2-13 | 23058 TUT (MA9) 0830-1020 Wed CAE2 LAB Wk2-13 | 23059 TUT (MA10) 0830-1020 Wed CAE2 LAB Wk2-13 | 23063 TUT (MA14) 0830-1020 Thu CAE2 LAB Wk2-13 | 23064 TUT (MA15) 0830-1020 Thu CAE2 LAB Wk2-13 | ||||
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| 1030 | 23050 TUT (MA1) 1030-1220 Mon CAE2 LAB Wk2-13 | 23051 TUT (MA2) 1030-1220 Mon CAE2 LAB Wk2-13 | 23052 TUT (MA3) 1030-1220 Mon CAE2 LAB Wk2-13 | 23055 TUT (MA6) 1030-1220 Tue CAE2 LAB Wk2-13 | 23056 TUT (MA7) 1030-1220 Tue CAE2 LAB Wk2-13 | 23060 TUT (MA11) 1030-1220 Wed CAE2 LAB Wk2-13 | 23061 TUT (MA12) 1030-1220 Wed CAE2 LAB Wk2-13 | 23062 TUT (MA13) 1030-1220 Wed CAE2 LAB Wk2-13 | 23065 TUT (MA16) 1030-1220 Thu CAE2 LAB Wk2-13 | 23066 TUT (MA17) 1030-1220 Thu CAE2 LAB Wk2-13 | ||
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Other offerings
Other relevant mods
- MA0218Introduction to Data Science & Artificial Intelligence
- MA0303Human Resource Management
- MA1001Dynamics
- MA1602Robotics Programming Fundamentals
- MA1603Introduction to Embedded Systems
- MA1700Aerospace Discovery Course
- MA2001Mechanics of Materials
- MA2002Theory of Mechanism
- MA2003Introduction to Thermo-Fluids
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