Carnegie Mellon University

Electrical and Computer Engineering

College of Engineering

Course Information

18-411: Computational Techniques for Data Science and Engineering




This course develops the methods to formulate basic engineering problems in a way that makes them amenable to computational/numerical analysis. The course will consist of three main modules: basic programming skills, discretization of ordinary and partial differential equations, and numerical methods. These modules are followed by two modules taken from a larger list: Monte Carlo-based methods, molecular dynamics methods, image analysis methods, and so on. Students will learn how to work with numerical libraries and how to compile and execute scientific code written in Fortran-90 and C++. Students will be required to work on a course project in which aspects from at least two course modules must be integrated.
This course is cross-listed as 27-410.

Prerequisites: Math sequence 21-120, 21-122, 21-259, 21-260 or equivalent; 15-100 or equivalent

Last Modified: 2024-01-19 9:36AM

Semesters offered:

  • Spring 2022
  • Spring 2020
  • Spring 2016
  • Spring 2014
  • Spring 2012
  • Spring 2010
  • Spring 2008