Topics in Programming Languages (TiPL)
This course provides an introduction to state-of-the-art research and applications within an area of programming languages involving theory, design, reasoning, implementation and/or application of programming languages. It acquaints students with performing and communicating independent research in project form. The course consists of a particular set of topics reflecting state-of the- art research and applications within theory, design, implementation and/or application of programming languages. This may include the construction, analysis or manipulation of programs with predictable properties and/or for a certain purpose. The particular topic(s) change from year to year. The course covers a selection of topics that reflect the current state of research as well as instructor and participant backgrounds and interests. It consists of lectures and exercises on the topics selected and subsequent group (2-4 persons) mini-projects. The mini-projects may consist of theoretical investigations, software construction or a combination of these. Master's thesis projects will be offered in continuation of the course.
In 2023, the course is about programming language aspects of quantum computing such as high-level quantum programming languages, their compilation to quantum circuits and instruction sets for quantum computers, synthesis of quantum error handling and correction, examples of quantum algorithms expressed in high-level languages, classical programming and high-performance simulation of quantum algorithms, and relevant mathematical foundations, semantics and algebra for quantum program transformation and optimization.
- Aspects of the dual nature of programs as software (to be executed) and as data (to be reasoned about, in particular
- analyzed and transformed)
- The role of a precise (mathematical) semantics for a programming language in connection with analyzing and manipulating programs
- Principles of programming language design and how they are applied in connection with the topics under study
- Discuss properties such as correctness and performance and define what they mean in the specific topics under study
- Specify ideas and concepts as rigorous definitions and make falsifiable (or provable) statements about them
- Read, assess and communicate research papers
- Apply central results in the given area of studies
- Write a research paper
- Prepare and give a research paper presentation
- Develop a given project proposal into a project plan, execute it, and present the results
The course progresses from teaching (lectures with exercises) to
mini-project and finally preparation for presentation/oral exam:
▪ Lecture phase: lectures and exercises, formation of project groups (4 weeks)
▪ Project phase: project work (4 weeks)
▪ Presentation and exam preparation (1 week)
Research articles and excerpts from books, distributed electronically.
See Absalon for a list of course literature.
Advanced Programming (AP) or equivalent.
Semantics and Types (SaT) is recommended, but not required.
Academic qualifications equivalent to a BSc degree is recommended.
Students receive feedback from the instructors during the course
exercises and project status reports (draft papers). Students give each
other feedback within the mini-project groups.
As an exchange, guest and credit student - click here!
Continuing Education - click here!
PhD’s can register for MSc-course by following the same procedure as credit-students, see link above.
- 7,5 ECTS
- Type of assessment
Oral examination, 30 minutes
- Type of assessment details
- Individual oral examination without preparation.
Format: An individual presentation of select parts of group report followed by individual examination in the course topics (see topics and learning objectives) with special emphasis on the subject of the written report the student has co-authored.
- All aids allowed
- Marking scale
- 7-point grading scale
- Censorship form
- No external censorship
Several internal examiners.
Criteria for exam assessment
See Learning Outcome.
Single subject courses (day)
- Practical exercises
- Project work
- Course number
- 7,5 ECTS
- Programme level
- Full Degree Master
- Block 1
- 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
- Fritz Henglein (8-6f6c756e736c7075476b7035727c356b72)
Fritz Henglein, Martin Elsman, Thomas Jensen
Are you BA- or KA-student?
Courseinformation of students