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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.
Required first
BS0004Introduction To Data ScienceBS1009Introduction To Computational ThinkingCB0494Introduction To Data Science & Artificial IntelligenceCH2107Introduction To Computational ThinkingPS0001Introduction To Computational ThinkingPS0002Introduction To Data Science & Artificial IntelligenceArtificial Intelligence In Chemistry
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CM1001
Foundations Of Chemistry I
CM2011
Analytical Chemistry
CM2021
Inorganic & Bioinorganic Chemistry
CM2061
Chemistry & Biological Chemistry Laboratory 1
CM3011
Chemical Spectroscopy & Applications
CM3021
Organometallic Chemistry
CM3031
Organic Reaction Mechanisms & Synthesis
CM3041
Physical & Biophysical Chemistry 2
CM3062
Chemistry & Biological Chemistry Laboratory 4
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| 1130 | COMMON LEC (LE) 1130-1320 Thu COMP LAB 1 | ||||
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| 1330 | 59035 TUT (T) 1330-1420 Thu COMP LAB 1 | ||||
| 1400 |