Principal lecturer:
Students:
Part IA CST
Term:
Michaelmas term
Lent term
Course code:
SciComp
Hours:
1
Suggested hours of supervisions:
1
Aims
This course is a hands-on introduction to using computers to investigate scientific models and data.
Syllabus
- Python notebooks. Overview of the Python programming language. Use of notebooks for scientific computing.
- Numerical computation. Writing fast vectorized code in numpy. Optimization and fitting. Simulation.
- Working with data. Data import. Common ways to summarize and plot data, for univariate and multivariate analysis.
Objectives
At the end of the course students should
- be able to import data, plot it, and summarize it appropriately
- be able to write fast vectorized code for scientific / data work
