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Department of Computer Science and Technology



Course pages 2023–24

Scientific Computing

Principal lecturer: Dr Damon Wischik
Additional lecturer: Prof Andrew Moore
Taken by: Part IA CST
Term: Michaelmas (continuing in Lent)
Hours: 1
Format: In-person lectures
Suggested hours of supervisions: 1
Moodle, timetable


This course is a hands-on introduction to using computers to investigate scientific models and data.


  • 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.


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