SDSC6021 - Generative Artificial Intelligence | ||||||||
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| * The offering term is subject to change without prior notice | ||||||||
Course Aims | ||||||||
This course explores the principles, methodologies, and applications of modern generative AI models, including large language models and diffusion models. Students will gain hands-on experience in designing, training, and fine-tuning generative models while examining their real-world impact across industries. We will also discuss the ethical implications of generative AI, addressing critical issues like bias, misinformation, intellectual property, and societal consequences. | ||||||||
Assessment (Indicative only, please check the detailed course information) | ||||||||
Continuous Assessment: 80% | ||||||||
Examination: 20% | ||||||||
Examination Duration: 2 hours | ||||||||
Min. Continuous Assessment Passing Requirement: 50% | ||||||||
Min. Examination Passing Requirement: 50% | ||||||||
Note: To pass the course, the student need to obtain a minimum of 50% in the overall mark. | ||||||||
Detailed Course Information | ||||||||
| SDSC6021.pdf | ||||||||
