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 the 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 modelling, control and data structures, encapsulation, the standard template library (STL), calls to external libraries and functions in C/C++ from, examples of interfacing  to e.g.  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
MSc Programme in Statistics
MSc Programme in Mathematics-Economics

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 structures and objects
  • Basic computer architecture and hardware limitations
  • Unit-tests

 

Skills in

  • Writing small programs in C/C++
  • Using templates / STL
  • Compiling and using external/3rd. party libraries
  • Implementing native C/C++ in a library which can be called from an interpreted language
  • Finding, reading and using documentation for C/C++ libraries
  • Using tools and structured approaches to locate and correct errors

 

Competences in

  • Translating a scientific problem into an executable program using (C/C++) to solve the problem
  • Participating in software development involving a shared codebase

We use flipped classroom teaching with focus on solving practical exercises which is a methodology with only a few short lectures.

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 reading materials. 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 first part of the course will rely on a book.

The second part will rely on online resources.

See Absalon for the specifics when the course is set up.


 

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

Academic qualifications equivalent to a BSc degree is recommended.

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++.

Written
Collective
Continuous feedback during the course
ECTS
7,5 ECTS
Type of assessment
Continuous assessment
Type of assessment details
Continuous assessment based on 4-6 written, individual assignments.

All assignments have to be passed in order to pass the entire course.
Aid
All aids allowed
Marking scale
passed/not passed
Censorship form
No external censorship
Several internal examiners
Criteria for exam assessment

See Learning Outcome.

Single subject courses (day)

  • Category
  • Hours
  • Lectures
  • 4
  • Preparation
  • 38
  • Practical exercises
  • 84
  • Exam
  • 80
  • English
  • 206

Kursusinformation

Language
English
Course number
NDAK14007U
ECTS
7,5 ECTS
Programme level
Full Degree Master
Duration

1 block

Placement
Block 4
Schedulegroup
C
Capacity
No limit
The number of seats may be reduced in the late registration period
Studyboard
Study Board of Mathematics and Computer Science
Contracting department
  • Department of Computer Science
Contracting faculty
  • Faculty of Science
Course Coordinator
  • Sune Darkner   (7-6663746d70677442666b306d7730666d)
Saved on the 07-04-2022

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