Introduction to Languages for Scientific Computing
When: Summer semester 2017
CAMPUS #: 17ws-57513
Contact: Prof. Paolo Bientinesi
Basic knowledge of numerical linear algebra, programming languages, algorithms.
The goal of the course is to provide the students with tools to achieve effective prototyping through high-level languages, and write high-performance programs in C and/or Fortran. Programs will be evaluated with respect to metrics such as performance, readability, elegance.
We will discuss programming languages and tools especially suitable for numerical & symbolic computations, data visualization, and high-performance computations. The focus is on Matlab, Mathematica and C; no prior knowledge of these languages is required. We also cover standard computational tools and Fortran-based libraries such as BLAS and LAPACK.
The course is hands on. The students are expected to solve (and compete on) simple programming assignments and to present approach & results in front of the class.
- Floating point arithmetic
- History of languages
- Data visualization
- Maps, functions
- Fixed & high-precision numbers; symbols
- Imperative vs. functional programming
- Numerical libraries
Lectures & Exercises
Room: 2181|P11 (MeT P 11), Kopernikusstraße 14
- Tuesdays, 16.15-17.45pm (lecture)
- Thursdays, 14.15-15.45pm (lecture + exercise)
Tuesdays, 11am-1pm, by appointment.
AICES R432 (Rogowski Building - Schinkelstrasse 2)
Tuesday, 18.04 Intro; live demo