Focus on:  Hide Contributions
Africa/Johannesburg English Login

vizafrica Summer School 2019

→ Africa/Johannesburg
Department of Computer Science Block 247 University of Botswana, Gaborone, Botswana
Description

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.
Participants
  • Anastacia Makati
  • Badisa Mosesane
  • Boago Seropola
  • Botlhe Matlhodi
  • Comfort Mandevu
  • Goitsemodimo Mophakedi
  • Kabo Bakwena
  • Karabo Johannes Ntwaagae
  • Kenneth Kavuna
  • Letshwiti Tutwane
  • Michael Nkuba
  • Micheal Tuape
  • Moffat Motlhanka
  • Mosimanegape Paulos
  • Nobathembu Letsoenyo
  • Onneile Gabaolaole Tibi
  • RAKUTUKA ACTIVE KAMBOBONJO
  • Segotso Nwako
  • Senate Lekomola
  • Seziwe Magetse
  • Temoetsile Baitsemang
  • Thabang Kgabung
  • THATO MIMI SABOKONE
  • Tiroyamodimo Mogotlhwane
  • Tsaone Thapelo
  • Vakasuva A Katjizeu
  • Wame Raseonyana
Dr Daniel Moeketsi
  • 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) 30m

        High Performance Computing in Botswana

      • 09:30
        Dr Daniel Moeketsi (CSIR- CHPC) 30m

        CHPC Big Data Programme for Africa

      • 10:00
        Dr Krishna Govender (CSIR - CHPC) 30m

        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 30m
    • 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) 1h 30m

        Basic Python Syntax

    • 10:30 → 11:00
      Tea Break 30m
    • 11:00 → 13:00
      Python Basics and Practical Exercise
    • 13:00 → 14:00
      Lunch Break 1h
    • 14:00 → 15:30
      Data Processing and Visualization with Python
    • 15:30 → 16:00
      Tea Break 30m
    • 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 30m
    • 11:00 → 13:00
      Advanced Matplotlib Practical Exercise 4
    • 13:00 → 14:00
      Lunch Break 1h
    • 14:00 → 15:30
      Mathematical Operations with numpy and scipy Practical Exercises
    • 15:30 → 16:00
      Tea Break 30m
    • 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) 1h 30m

        Lecture 1: Big Data Engineering

    • 10:30 → 11:00
      Tea Break 30m
    • 11:00 → 13:00
      Lecture 2: Big Data Engineering
    • 13:00 → 14:00
      Lunch Break 1h
    • 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 30m
    • 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) 1h 30m

        Business Intelligence

      • 09:00
        Office of Astronomy for Development (OAD) 1h 30m

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

      • 09:00
        Prof. Koji Koyamada Kyoto University 1h 30m

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

    • 10:30 → 11:00
      Tea Break 30m
    • 11:00 → 13:00
      Prof. Koji Koyamada Kyoto University 2h

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

    • 13:00 → 14:00
      Lunch Break 1h
    • 14:00 → 15:30
      Prof. Koji Koyamada Kyoto University 1h 30m

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

    • 15:30 → 16:00
      Tea Break 30m
Powered by Indico