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The aim of this course is to introduce to year-4 students some of the most important computational modelling techniques for materials simulation, such as continuum methods, atomistic and molecular simulation methods, quantum mechanics methods, and machine learning techniques that includes artificial neural networks.
Students will gain insights into fundamental, theoretical, and numerical aspects of materials simulation through examples and exercises, appreciate the utility of computational modelling as an essential aid to uncover the underlying physics of experimental studies.
Required first
BG2211Introduction To Computational ThinkingCB0494Introduction To Data Science & Artificial IntelligenceCH2107Introduction To Computational ThinkingCV0003Introduction To Data Science & Artificial IntelligenceCV1014Introduction To Computational ThinkingEE0005Introduction To Data Science & Artificial IntelligenceEE1005From Computational Thinking To ProgrammingIE0005Introduction To Data Science & Artificial IntelligenceIE1005From Computational Thinking To ProgrammingMA0218Introduction To Data Science & Artificial IntelligenceMA1008Introduction To Computational ThinkingMS0003Introduction To Data Science & Artificial IntelligenceMS1008Introduction To Computational ThinkingSC1003Introduction To Computational Thinking & ProgrammingSC1015Introduction To Data Science & Artificial IntelligenceIntroduction To Materials Simulation
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MS0003
Introduction To Data Science & Artificial Intelligence
MS1008
Introduction To Computational Thinking
MS1014
Materials Chemistry Ii
MS1018
Properties Of Materials
MS2013
Introduction To Polymer Science
MS2014
Materials Structure & Defects
MS2018
Electronics & Magnetic Properties Of Materials
MS2083
Laboratory On Structure-Property Relationship In Polymers
MS2084
Phase Transformations & Kinetics In Steels
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| 1830 | 15421 TUT (T1) 1830-1920 Thu TR+17 Wk2-13 | 15422 TUT (T1) 1830-1920 Thu TR+17 Wk2-13 | ||||
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