SDSC3105 - Bayesian Analysis

Offering Academic Unit
School of Data Science
Credit Units
Course Duration
One Semester
Course Offering Term*:
Semester B 2021/22
Semester B 2022/23 (Tentative)

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

This course aims at offering students rigorous knowledge of Bayesian statistical theory and methods, developing students’ abilities of interpreting and communicating results, as well as training students to apply software packages such as R or Matlab to fit Bayesian models and conduct Bayesian analyses.

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

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


Useful Links

School of Data Science