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AY2022/2023 Semester 1
This course aims to equip you with working knowledge of how artificial intelligence (AI) can be applied to chemistry. As a start, you will learn the rigorous way to construct Python projects for AI. Next, you will learn how to apply AI to analyze chemical data, either for visualization, classification, quantitative determination, or for pursuing insights into chemical process. We will introduce multiple case studies and analyze how AI has impacted the various sub-disciplines of chemistry. The course will improve your communication skills by requiring you to deliver technical presentations to a broad audience. As a result of this course, you will develop the necessary skills to prepare yourself for a career that involves harnessing AI for research and industry applications.
| AUs | 3.0 AUs |
| Categories | CoreBDE |
| Not Available To Programme | ACBS, ACC, ADM, AERO, ARED, ASEC, BCE, BCG, BEEC, BIE, BMS, BS, BSB, BSPY, BUS, CBE, CBEC, CE, CEE, CEEC, CHIN, CNEL, CNLM, CS, CSC, CSEC, CVEC, ECMA, ECON, ECPP, ECPS, EEE, EEEC, EESS, ELAH, ELH, ELHS, ELPL, ENE, ENEC, ENG, ESPP, HSCN, HSLM, IEEC, IEM, LMEL, LMPL, LMS, MACS, MAEC, MAEO, MAT, MATH, ME(DES), ME(NULL), ME(RMS), MEEC(DES), MEEC(NULL), MEEC(RMS), MS, MS-2ndMaj/Spec(MSB), MTEC, PHIL, PHY, PLCN, PLHS, PPGA, PSLM, PSMA, PSY, SCED, SOC, SSM |
| Not Available As BDE/UE To Programme | CHEM |
| Exam |
| Mon | Tue | Wed | Thu | Fri | |
|---|---|---|---|---|---|
| 830 | 70130 LAB (LA) 0830-1120 Thu COMP LAB 3 Wk2-13 | ||||
| 900 | |||||
| 930 | COMMON LEC (LE) 0930-1120 Tue SPMS-LT4 | ||||
| 1000 | |||||
| 1030 | |||||
| 1100 |
