NDAA09026U 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 2022/23, the course is about interactive theorem proving based on functional programming. The topics offered in the course include introductions to higher-order logic, the Curry-Howard isomorphism, an advanced interactive proof system such as Isabelle/HOL or Coq, proof representation and proof automation, reasoning about algebraic and inductive datatypes, proofs of termination and code synthesis from proofs.
Knowledge of
▪ 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
Skills to
• 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
Competences to
▪ Develop a given project proposal into a project plan, execute it,
and present the results
Research articles and excerpts from books, distributed electronically.
See Absalon for a list of course literature.
Semantics and Types (SaT) is recommended, but not required.
Academic qualifications equivalent to a BSc degree is recommended.
▪ Lecture phase: lectures and exercises, formation of project groups (4 weeks)
▪ Project phase: project work (4 weeks)
▪ Presentation and exam preparation (1 week)
- Category
- Hours
- Lectures
- 16
- Preparation
- 12
- Practical exercises
- 24
- Project work
- 145
- Guidance
- 8
- Exam
- 1
- Total
- 206
Students receive feedback from the instructors during the course
on
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.
- Credit
- 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. - Exam registration requirements
Submission of mini-project report.
- Aid
- All aids allowed
- Marking scale
- 7-point grading scale
- Censorship form
- No external censorship
Multiple internal evaluators.
- Re-exam
If a student is not qualied for the oral exam qualication can be achieved
by submission/re-submission of an individual project report no later
than three weeks before the reexam.
Individual oral examination (30 minutes, without preparation) based on
submitted report and course topics (see topics and learning objectives).
Criteria for exam assesment
See Learning Outcome.
Course information
- Language
- English
- Course code
- NDAA09026U
- Credit
- 7,5 ECTS
- Level
- Full Degree Master
- Duration
- 1 block
- Placement
- Block 1
- Schedule
- B
- Course capacity
- No limit
The number of seats may be reduced in the late registration period
Study board
- Study Board of Mathematics and Computer Science
Contracting department
- Department of Computer Science
Contracting faculty
- Faculty of Science
Course Coordinators
- Fritz Henglein (henglein@di.ku.dk)
Lecturers
Dmitriy Traytel