Webinar Series on Online Teaching for Computer Science and Engineering Faculty

Zimbabwe Council for Higher Education is hosting Webinar Series on Online Teaching for Computer Science and Engineering Faculty starting on the 29th of July 2021 starting at 1000hrs to 1200hrs.

The main aim of the webinar is to share best practices for online teaching and learning in Computer Science and Engineering programs.  The webinar provides a platform for speakers to share their experiences with implementing online teaching and learning. Specifically, speakers will discuss:

  1. Experience and methods of creating videos for teaching and learning.
  2. Use of Data Science software resources that are available on the cloud.
  3. Online assessment methods and procedures.
  4. Utilization of software that is available on the Supercomputer.

Who can attend this webinar

  1. Lecturers
  2. University Teaching staff

Presenters

Dr. G. Mahlangu

Gilbert Mahlangu is a Lecturer in the Department of Information and Marketing Sciences at the Midlands State University. His research interests include digital transformation in developing countries, design of e-service platforms among other areas.

He holds the following qualifications:

  • Doctor of Information & Communication Technology (Cape Peninsula University of Technology, South Africa)
  • MSc. Information Systems Management Degree (Midlands State University)
  • Post Graduate Diploma in Education (PGDE) (Midlands State University)
  • BSc. Information Systems Honours Degree (Midlands State University)

Presention : Online assessment (E-Assessment)

“Online assessment provides exceptional flexibility, among other benefits, and aids in making the task of administering assessment far easier”.

The presentation will cover the following items:

  1. Overview of online assessment
  2. The need and benefits for online assessment
  3. Challenges/experiences/ perceptions/ concerns
  4.  The Alphabet Soup of Assessment
  5. E-tools for Computer Science and Engineering assessment: Platforms, Content, and communication tools
  6. Designing e-assessment rubric

Dr. Tatenda Duncan Kavu

Is a researcher and an academic with a PhD in Computer Science. Working with the African Leadership University, Kigali, Rwanda and the University of Zimbabwe, Harare. He specialises in Recommender Algorithms, Machine Learning and Data Mining.

Presentation Abstract

  • The cloud platforms are very essential in building, training and testing AI models. Since  omputational power can be consolidated from different nodes on the cloud to do a computational task. In this presentation we will discuss the purpose of the cloud in AI and why industry and academia should make use of the cloud in AI adventures. A short demo will be done to show cloud tools such as (Google Co-laboratory and Kaggle) that can be used by researchers and academics as well as a short demo on cloud tools such as (IBM Watson studio) for  the industry. The main objective of the presentation is to make academia and industry familiarise themselves with the cloud tools which are at their disposal and which they can utilise in their endeavours.

Miss Charmaine Kahiya

Is a research scientist with a focus on the use of computational resources in the life sciences domain with a few years in the field. Charmaine’s specialty lies in the field of computer aided drug-discovery in which she has a master’s degree in this area was earned at University of Kwazulu Natal under the drug discovery research group: Catalysis and Peptide Research Unit (CPRU).

Charmaine is focused on continued development and has attended a few trainings and symposia concerned with her interests. Her particular focus is on HIV/AIDs, Malaria, TB and cancer which are diseases of national interest and of course the current corona virus. A strong proponent of positive thinking, seizing the day and giving your best, she is a hard worker ready to give her best to science and to boot she received recognition from the Womandla organization (a Woman in STEM South African focused organization) as a top 3 finalist in 2019. Charmaine enjoys a good Netflix but can usually be found in nature with a good book.

Presentation Topic:  Access to ZHPC resources, a practical guide.

Abstract

Background: Molecular docking is used to identify natural photochemical and commercial drugs that are equivalent to treat SARS-COVID-19. ARS-CoV-2 is a virus that is the cause of a serious life-threatening disease known as COVID-19. It was first noted to have occurred in Wuhan, China in November 2019 and the WHO reported the first case on December 31, 2019. The outbreak was declared a global pandemic on March 11, 2020 and by May 30, 2020, a total of 5 899 866 positive cases were registered including 364 891 deaths. There is currently no cure for the virus.

Materials and Methods: There are currently various treatment plans and six vaccines currently on the market. These compounds are taken from the literature survey and they are meant to drug screening process against SARS-COVID-19 using flavanols as potential inhibitors. The 38 flavanols were docked into the active site and Active Site docking using Autodock Vina software through the Chimera 1.14 interface. The flavanols with the highest docking scores are eligible for further study.

Results: Based on their Drug Screening scores and, the best inhibitor was the ligand, flavanol Quercetin_3_Rhamnose with a docking score of -9.8 kjcal-1. The ligand with the least docking score was Nobletin which had docking score of -5.8 kjcla-1. These results show that the flavanols may be potential inhibitors of the SARS_Cov-2 main protease as the original inhibitor (N3) had a docking score of -7.4 kjcal-1..


Dr. Trevor N. Mutusva

Lecturer: Harare Institute of Technology. Research interests: Applied Mathematics

Presentation

  • Creating Tutorials/Lectures using Keynote/Powerpoint
  • Hosting videos on YouTube.
  • Using Youtube Studio to interact with the learners and analysis of content usage.