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Applications in data science 212


 
Module code WST 212
Qualification Undergraduate
Faculty Faculty of Natural and Agricultural Sciences
Module content

Introduction to database design, extracting data from databases using different software packages. Introduction to machine learning. Commonly used machine learning techniques
Module credits 12.00
Prerequisites WST 111, WST 121, WTW 114 (GS), WTW 124 (GS).
Contact time 2 lectures per week, 1 practical per week
Language of tuition Module is presented in English
Department Statistics
Period of presentation Semester 1
The information published here is subject to change and may be amended after the publication of this information. The General Regulations (G Regulations) apply to all faculties of the University of Pretoria. It is expected of students to familiarise themselves well with these regulations as well as with the information contained in the General Rules section. Ignorance concerning these regulations and rules will not be accepted as an excuse for any transgression.

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