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This course is part of the year-long PhD preparatory programme on Theoretical Foundations of Data Science and will review the mathematical, statistical and programming background of the students to prepare you for the more advanced materials that you will be exposed to in the intensive winter schools in July.
This course is part of the year-long PhD preparatory programme on Theoretical Foundations of Data Science and will review the mathematical, statistical and programming background of the students to prepare you for the more advanced materials that you will be exposed to in the intensive winter schools in July.
It will also be an avenue for students to get-to-know each other and start building a network. An online platform will be setup for participants to discuss problems and help each other solve problems. Instructors will be added to this online group and will be encouraged to respond to student questions where needed.
It will also be an avenue for students to get-to-know each other and start building a network. An online platform will be setup for participants to discuss problems and help each other solve problems. Instructors will be added to this online group and will be encouraged to respond to student questions where needed.
Course Date: 9 - 13 April 2018
Course Programme:
- Introduction to Data Science
- Python Programming & HPC
Criteria:
Target participants are staff at South African Universities who are either contemplating registering for or are in their first year of doctoral degrees in Data Science at a South African University. Other South African PhD and would-be PhD students are encouraged to apply but funding is not guaranteed.
Pre-requisites:
Undergraduate level: Differential and Integral Calculus, Linear Algebra, Statistics, Probability, and a course in programming.
Funding:
A limited number of delegates will be fully funded. All other delegates will be responsible for their own funding.
Deadline for submissions:
28 February 2018
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