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SDSC3007 - Advanced Statistics

Offering Academic Unit
School of Data Science
Credit Units
3
Course Duration
One Semester
Pre-requisite(s)
Course Offering Term*:
Semester A 2021/22
Semester A 2022/23 (Tentative)

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

In this course, students will learn statistical theories and methods for drawing inference from data. Fundamental statistical concepts and theories in point estimation, hypothesis testing and asymptotic inference are taught. Students will learn properties that good parameter estimates and hypothesis tests should possess, and use them as criteria in the development and justification of parameter estimators and test procedures. Some fundamental aspects of the linear model theories are also covered.


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

Continuous Assessment: 50%
Examination: 50%
Examination Duration: 2 hours
 
Detailed Course Information

SDSC3007.pdf

Useful Links

School of Data Science