Applied Programming (APP)
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.
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.
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- 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
- 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
- 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
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 /
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++.
PhD’s can register for MSc-course by following the same procedure as credit-students, see link above.
- 7,5 ECTS
- Type of assessment
- Type of assessment details
- Continuous assessment based on 4-6 written, individual
All assignments have to be passed in order to pass the entire course.
- All aids allowed
The use of Large Language Models (LLM)/Large Multimodal Models (LMM) – such as ChatGPT and GPT-4 – is permitted.
- Marking scale
- passed/not passed
- Censorship form
- No external censorship
Several internal examiners
A 20 minutes oral examination without preparation, covering the entire course syllabus.
Criteria for exam assessment
See Learning Outcome.
Single subject courses (day)
- Practical exercises
- Course number
- 7,5 ECTS
- Programme level
- Full Degree Master
- Block 4
- No limit
The number of seats may be reduced in the late registration period
- Study Board of Mathematics and Computer Science
- Department of Computer Science
- Faculty of Science
- Sune Darkner (7-6663746d70677442666b306d7730666d)
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