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SEEM4112 - Computing Methods in Data Analytics

Offering Academic Unit
Department of Systems Engineering and Engineering Management
Credit Units
3
Course Duration
One Semester
Pre-requisite(s)
Course Offering Term*:
Not offering in current academic year

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

Students in this course will explore the knowledge and tools of data collection, data charting and visualization, as well as data storage. Students will learn data analytical methods including hypothesis testing, ANOVA analysis, linear regression, logistic regression, and ridge regression. Usage of software R will be taught in this course.

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

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

SEEM4112.pdf

Useful Links

Department of Systems Engineering and Engineering Management