IS4861 - Machine Learning for Business

Offering Academic Unit
Department of Information Systems
Credit Units
Course Duration
One Semester
Course Offering Term*:
Semester A 2018/19
Semester A 2019/20 (Tentative)

* The offering term is subject to change without prior notice
Course Aims

Machine learning plays a central role in the emergence of technology trends such as big data, artificial intelligence, and FinTech. This course introduces students to the real world challenges of implementing machine learning based business solutions. The main topics covered in this course include unsupervised learning, supervised learning, deep learning, natural language processing, sentiment analysis, and so on.

This course is an introduction to machine learning and algorithms relevant for business students. Through this course, students will develop a basic understanding of the concepts in machine learning and apply these knowledge to derive business solutions in a wide range of domains. Students will get hands-on experience with machine learning and artificial intelligence from a series of business case studies.

Assessment (Indicative only, please check the detailed course information)

Continuous Assessment: 60%
Examination: 40%
Examination Duration: 2 hours
Detailed Course Information


Useful Links

Department of Information Systems