Computational Intelligence for Industry
Johannesburg, South Africa
Summer Course
DURATION
3 weeks
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
EARLIEST START DATE
TUITION FEES
ZAR 23,050 / per year *
STUDY FORMAT
* fees for the complete programme amount to between R23050,00 and R51851,00. Fees may vary depending on the composition of a particular qualification
Key Summary
About: The University of Johannesburg's Computational Intelligence for Industry explores computational intelligence and machine learning as engines behind business analytics and predictive analytics. It situates study in a vibrant, multicultural Johannesburg context, linking African roots with industrial applications. Topics include machine learning, pattern recognition, data mining, predictive modeling, artificial intelligence and optimization for industry, operations and decision support. Keywords: computational intelligence, AI, data science, predictive analytics, business analytics, industrial applications.
Career Outcomes: Graduates can enter roles in data science, machine learning engineering, business analytics and AI research across manufacturing, finance, healthcare, tech and consulting, using skills in modeling and deployment.
Computational Intelligence (machine learning) tools are the engines behind business analytics and predictive analytics.
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
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.