
Summer courses in
Computational Intelligence for Industry University of Johannesburg

Introduction
Computational Intelligence (machine learning) tools are the engines behind business analytics and predictive analytics.
Gallery
Admissions
Curriculum
This programme will provide the necessary bridging or grounding for the research-based Masters in Computational Intelligence or fourth industrial revolution related domain.
Key topics
- Introduction to Python
- Introduction to machine learning
- Basic Statistics and Probability Theory
- Naïve Bayes Classifier
- Bayesian Networks
- Sensitivity Analysis
- Decision Trees
- Support Vector Machines (SVM)
- Artificial Neural Networks
- Post-processing
Program Outcome
The programme is for those who possess a Bachelor’s degree in IT, Computer Science, Information Systems, Statistics or related fields who will have the opportunity to obtain hands-on practical knowledge on higher-level computational intelligence and skills that are required by the industry. It will enable students to understand the concept of computational intelligence in tandem with trends in data science.