Applied Programming (APP)

Course content

The purpose of the course is to introduce the programming language C/C++, key programming concepts in a scientific context, and guidelines for documentation. The course will enable the student to develop C/C++ code needed to process large amounts of scientific data that cannot be handled in interpreted languages such as MATLAB, Python, Maple, or R.

The teaching will be based on examples from linear algebra.

Contents:
C/C++, problem modeling, control and data structures, encapsulation, calls to functions in C/C++ from Java / Python / R / MATLAB,  the use of classes and libraries including an overview of libraries for scientific programming, and introduction to object-oriented programming.

Education

MSc Programme in Bioinformatics

MSc Programme in Physics

Learning outcome

Knowledge of:

  • Several programming paradigms, translated versus interpreted languages.
  • imperative control structures and basic data structures .
  • Encapsulation of data states by means of structs.
  • Interfaces between compiled and interpreted language
  • Basic computer architecture and hardware limitations
  • Version control (subversion, cvs, github)

 

Skills to:

  • Write small programs in C/C++
  • Use templates / STL
  • Compile and use external / 3rd. party libraries
  • Use native C/C++ in a library which can be called from a interpreted language
  • Account for pros and cons of different approaches of documenting code
  • Select quality assurance appropriate for different types of scientific software

 

Competences to:

  • Translate a scientific problem into an executable program using (C/C++) that solves the problem.
  • Participate in software development involving a shared code base.

The course is based on assignments, which are solved at home and in class. We encourage all students to show up at the exercise classes. All assignments are a part of the evaluation, and the teachers will be present during all exercise classes.

Lectures will be given when general issues arise with respect to understanding. We will NOT give lectures covering the entire syllabus, and it is the students' responsibility to read the book. However, the teachers are available to explain any topic in the syllabus at the students' request during exercise classes. We have a priori selected a few difficult topics which will be covered during exercises through short lectures.

The course requires Linear Algebra including programming experience in one of the following languages: Python / R / MATLAB / Maple.

The course is intended for all non-computer science students at the Faculty of Science, including but not limited to Physics, Math, Chemistry, Biology etc , and serves as an introduction to programming in C/C++.

ECTS
7,5 ECTS
Type of assessment
Continuous assessment
4-6 individual asignments
Marking scale
passed/not passed
Censorship form
No external censorship
Several internal examiners
Criteria for exam assessment

An overall evaluation of the hand-ins, which all have to be passed in order to pass the course.
See learning outcome.

Single subject courses (day)

  • Category
  • Hours
  • Lectures
  • 4
  • Practical exercises
  • 84
  • Preparation
  • 118
  • English
  • 206