University Of Pretoria Computer Science Department

MIT800 - Introduction to Big Data Science

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Module Content

Assignment
Assigment description
Assignment
Mark Sheet
Mark Sheet for the reviews
Lecture notes & slides
BIG Data SCIENCE - a CAREER perspective
Slides by Dr Bihina
INF Big Data Science
Slides by Dr. Martie VanDeventer
Big Data Science and Computer Science
Slides by Willem S. van Heerden
BDS and Statistics
Slides by Sollie Millard
Big Data Science – Demonstration of a practical project
Slides by Walt & Eloff
What is big data and big data science
Slides by Walt & Prof. Eloff
MIT800 Introduction
Slides by Prof. Jan Eloff
BDS and Informatics
Slides by Prof. Aurona Gerber
Computational Biology
Slides by Prof. Michael Pepper
BDS and Computational Human Biology
By Melvin Andele
BSD and Mathematics Fiance 3
Slides by Prof. Banda and colleagues
BDS and EECE
Slides by Dr. Peter de Villiers
BDS and Sport Exercise Science
Slides by Prof Martin Schwellnus
BDS and Insurance Industry
Slides by David Kenyon
BDS and Mathematics Finance 2
Slides by Prof. Banda and colleagues
BDS and mathematics Finance 1
Slides by Prof. Banda and colleagues
MIT800 Studyguide
Studyguide
Studyguide
Short Paper Example
Short Paper
Short Paper
Support materials
UP Orientation Manual
UP portal, password, email
UP Library
Searching for resources
Library Google Scholar access
Find literature free in Scholar through the Library
Tips for academic writing
How to avoid plagiarism

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Module Description

The MIT (Stream C) - Big data Science focuses on the provision of an educational opportunity on a post-graduate level for researchers and practitioners in Big Data Science cognizan...

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Lecturer Information

Course Coordinator

Prof Jan Eloff

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H.o.D Office times

During the times below, any student can come and discuss any issue with the head of the department without making an appointment. Note that these dates and times may change, and any such changes will be updated on each module home page.

The dates and times are as follows:
  • 3 February 12:30-13:30
  • 10 February 12:30-13:30
  • 13 February 08:00-09:00
  • 17 February 12:30-13:30
  • 20 February 08:00-09:00
  • 27 February 08:00-09:00
  • 6 March 08:00-09:00
  • 10 March 12:30-13:30
  • 13 March 08:00-09:00
  • 17 March 12:30-13:30
  • 24 March 12:30-13:30
  • 27 March 08:00-09:00
  • 31 March 12:30-13:30

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