Course overview
The exceptional development, since the 1990s, of new hardware dedicated to high-performance mathematical computations, and the parallel availability of large data sets due to the rise of the internet, has made viable the field of data analytics, where large quantities of data can be handled and studied. This course introduces learners to advanced concepts in linear algebra, calculus, and probability, which form the three mathematical pillars of data analytics. The emphasis is on developing skill sets allowing learners to progress to specialised courses in data analytics. Python is utilised throughout as a means of implementing mathematical methods with technology.
Course learning outcomes
- Obtain the basic matrix factorizations for given matrices
- Perform double and triple integration over assorted domains
- Use advance calculus techniques to solve optimisation problems
- Compute probabilities and basic statistics for random variables with finitely many outcomes
- Work with the standard discrete and continuous random variables in a variety of settings