Mathematical Sciences Moodle

This course is designed for the Data Science Interest Group, focusing on essential data science topics and their real-world applications 

Master Linux, cryptography, and password security while diving into reverse engineering, binary exploitation, and Android hacking. Explore digital forensics, steganography, network security, and attack & defense techniques through hands-on labs and real-world challenges. Think like an attacker and gain the skills to protect and defend critical systems.

LLM Training 2026: Phase I (virtual), Phase II (Hackathon)

“Visualising African Societies with Data” is focussed on the use of graphs and maps to visualise data focussed on Africa and African development. Students will learn how to present data reflecting the social, economic, geographic condition of societies in a way that enhances narratives and analysis.

The course leverages opensource statistical and GIS software like R and QGiS. While no prior experience in statistical or spatial analysis is required familiarity with R is an advantage.