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Computational thinking (CT) is the process of analysing a problem then designing 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 programs running on computer.
The aim of this course is hence to take students with no prior experience of thinking in a computational manner to a point where you can derive simple algorithms and code the programs to solve some basic problems in your domain of studies. Student will also learn about basic program construct and simple data structures. In addition, the course will include topics to appreciate the internal operations of a processor.
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Required first
Introduction To Computational Thinking & Programming
Unlocks
BF3123Machine Learning In FinanceBS4017High-Throughput BioinformaticsMS4671Introduction To Materials SimulationMS4672Machine Learning For Materials DesignSC1007Data Structures & AlgorithmsSC1008C & C++ ProgrammingSC1015Introduction To Data Science & Artificial IntelligenceSC2002Object Oriented Design & ProgrammingSC3021Data Science FundamentalsSC4024Data VisualisationSC4055Introduction To Quantum ComputingSC5002Artificial Intelligence Fundamentals & ApplicationsSC5005Natural Language Processing, Llms, & ApplicationsSC5006Computer Vision & ApplicationsSC5010Introduction To Data Analysis| Mon | Tue | Wed | Thu | Fri | |
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| 1630 | COMMON LEC (SCL1) 1630-1720 Mon LT6 | |||||
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