Skip to navigation
Skip to content
COURSES >>>


SDSC4019 - Stochastic Processes and Applications

Offering Academic Unit
School of Data Science
Credit Units
3
Course Duration
One Semester
Pre-requisite(s)
Equivalent Course(s)
Course Offering Term*:
Not offering in current academic year

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

This course is an introduction to the probability models and stochastic processes (without measure theory) with the focus restricted to discrete time discrete state Markov chain and the applications to network science and data science. It also provides elementary numerical methods for solving real stochastic problems.


Assessment (Indicative only, please check the detailed course information)
Continuous Assessment: 40%
Examination: 60%
Examination Duration: 2 hours
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
SDSC4019.pdf