SDSC4018 - AI in Systematic Trading | ||||||||
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| * The offering term is subject to change without prior notice | ||||||||
Course Aims | ||||||||
This course offers students the review of financial systems as well as machine learning, artificial intelligence, and optimization techniques utilized in nowadays financial fields. Students will obtain technical knowledge in collecting a variety of financial data, developing trading algorithms, and optimizing overall portfolio performance. The goal of this course is to help student establish a clear map of frameworks for developing the artificial intelligence serving financial systems. | ||||||||
Assessment (Indicative only, please check the detailed course information) | ||||||||
Continuous Assessment: 40% | ||||||||
Examination: 60% | ||||||||
Examination Duration: 2 hours | ||||||||
Note: To pass the course, apart from obtaining a minimum of 40% in the overall mark, a student must also obtain a minimum mark of 30% in both continuous assessment and examination components. | ||||||||
Detailed Course Information | ||||||||
| SDSC4018.pdf | ||||||||
