vizafrica Summer School 2019

11 Nov 2019, 09:00 → 15 Nov 2019, 18:00 Africa/Johannesburg

The vizAfrica Summer School is a pre-activity of the CODATA 2019 Symposium to be held at University of Botswana Conference Centre from 17 - 18  November 2019.  The school runs from 11 - 15 November is supported by DARA BIG DATA project of Manchester University in UK and hosted by University of Botswana. The school will be held at the Department of Computer Science Block 247.  More information about Symposium can accessed from: https://vizafrica.codata.org/2019-Botswana/programme/

The school will be delivered by the following partnering organizations:

• CSIR 's Centre for High Performance Computing in South Africa: 

Focus on three day hands training covering Linux command line; bash scripting, and python programming for science and engineering.

• Jomo Kenyatta University of Agriculture and Technology:

Focus on half-day lectures on Big Data Engineering.

• Rhodes University and South Africa Radio Astronomy Observatory (SARAO): 

Rhodes University and SARAO will run a half day workshop focusing on Astro Data Machine Learning and Visualisation Tutorials.

• Office of Astronomy for Development (OAD)

Will run one day workshop on Introduction to Development Economics for non-Social Scientists.

• Kyoto University

A full day Computer Aided Engineering Workshop.

• Pathways International

A full day workshop on Business Intelligence.

Monday, 11 November

09:00 → 10:30 Tea Break: Welcome and Introduction: Dr Tshiamo Motshegwa (UB); Dr Daniel Moeketsi (CSIR-CHPC)

09:00 Dr Tshiamo Motshegwa (University of Botswana)

High Performance Computing in Botswana

09:30 Dr Daniel Moeketsi (CSIR- CHPC)

CHPC Big Data Programme for Africa

10:00 Dr Krishna Govender (CSIR - CHPC)

Introduction to Shell

10:30 → 11:00 Tea Break

11:00 → 13:00 Running commands and getting help

13:00 → 14:00 Lunch Break

14:00 → 15:30 Introduction to bash scripting

15:30 → 16:00 Tea Break

16:00 → 18:00 Advanced Bash Scripting

Tuesday, 12 November

09:00 → 10:30 Wellcome and Introduction (Dr Daniel Moeketsi- CSIR-CHPC)

09:00 Sakhile Masoka (CSIR - CHPC)

Basic Python Syntax

10:30 → 11:00 Tea Break

11:00 → 13:00 Python Basics and Practical Exercise

13:00 → 14:00 Lunch Break

14:00 → 15:30 Data Processing and Visualization with Python

15:30 → 16:00 Tea Break

16:00 → 18:00 Data Processing and Visualization with Python Exercise

Wednesday, 13 November

09:00 → 10:30 Advanced Matplotlib Practical Exercise

10:30 → 11:00 Tea Break

11:00 → 13:00 Advanced Matplotlib Practical Exercise 4

13:00 → 14:00 Lunch Break

14:00 → 15:30 Mathematical Operations with numpy and scipy Practical Exercises

15:30 → 16:00 Tea Break

16:00 → 18:00 Practical Exercises and Access to CHPC Cluster

Thursday, 14 November

09:00 → 10:30 Welcome and Introduction: Dr Tshiamo Motshegwa (UB); Dr Daniel Moeketsi (CSIR-CHPC)

09:00 Prof Muliaro Wafula (Jomo Kenyatta University of Agriculture and Technology)

Lecture 1: Big Data Engineering

10:30 → 11:00 Tea Break

11:00 → 13:00 Lecture 2: Big Data Engineering

13:00 → 14:00 Lunch Break

14:00 → 15:30 Isabella Rammala and Sydil Kupa (Rhodes University & South Africa Radio Astronomy Observatory)

Session1: Astro Data Machine Learning and Visualization Tutorial

15:30 → 16:00 Tea Break

16:00 → 18:00 Isabella Rammala and Sydil Kupa (Rhodes University & South Africa Radio Astronomy Observatory)

Session 2: Astro Data Machine Learning and Visualization Tutorial

Friday, 15 November

09:00 → 10:30 Welcome and Introduction: Prof Muliaro Wafula (Jomo Kenyatta University of Agriculture and Technology)

09:00 Becky Abraham (Pathways International)

Business Intelligence

09:00 Office of Astronomy for Development (OAD)

Introduction to Development Economics for non-Social Scientists
Venue: Lecture room Block 247

09:00 Prof. Koji Koyamada Kyoto University

Computer Aided Engineering (FEMAP)
Venue: Computer Lab Block 247- 292

10:30 → 11:00 Tea Break

11:00 → 13:00 Prof. Koji Koyamada Kyoto University

Computer Aided Engineering (FEMAP)
Venue: Computer Lab Block 247- 292

13:00 → 14:00 Lunch Break

14:00 → 15:30 Prof. Koji Koyamada Kyoto University

Computer Aided Engineering (FEMAP)
Venue: Computer Lab Block 247- 292

15:30 → 16:00 Tea Break