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Basic concepts: system, model, simulation. Different types of simulation: Monte Carlo simulation, continuous system simulation, discrete event simulation. Simulation software: modelling and simulation using Arena. Generating random numbers and random variables for simulation study: LCG, inverse transform, convolution. Analysis of input and output data: MLE, Goodness-of-fit test, confidence interval. Verification and validation: concepts and techniques. Queuing models: properties, performance measures and basic formulas. Comparison of alternative designs: paired-t approach, multiple comparison problem. Variance reduction: CRN, AV.
Required first
SC2000Probability & Statistics For ComputingSimulation & Modelling
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SC1003
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
SC1015
Introduction To Data Science & Artificial Intelligence
SC1104
Linear Algebra For Computing
SC1124
Math 2: Discrete Structures For Computing
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| 830 | COMMON LEC (SCL4) 0830-0920 Thu LT27, ONLINE Wk1,2,4-13, Teaching Wk3 | COMMON LEC (SCL4) 0830-0920 Thu LT27, ONLINE Wk1,2,4-13, Teaching Wk3 | ||||||
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| 930 | COMMON LEC (SCL4) 0930-1020 Mon ONLINE, LT27 Wk3, Teaching Wk1,2,4-13 | COMMON LEC (SCL4) 0930-1020 Mon ONLINE, LT27 Wk3, Teaching Wk1,2,4-13 | ||||||
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| 1230 | 10522 TUT (SCEL) 1230-1320 Tue LT27, ONLINE Wk2,4-13, Teaching Wk3 | 10522 TUT (SCEL) 1230-1320 Tue LT27, ONLINE Wk2,4-13, Teaching Wk3 | ||||||
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