Advanced Programming (AP)
The purpose of this course is to provide practical experience
with sophisticated programming techniques and paradigms from a
language-based perspective. The focus is on high-level programming
and systematic construction of well-behaved programs.
The selection of the topics covered will be informed by current and emerging trends. The possible topics covered may include, but are not limited to:
- applicative (functional) programming
- concurrent programming
- declarative (logic) programming
- distributed programming
- generic programming
- parallel programming
- reactive programming
MSc Programme in Computer Science
At course completion, the successful student will have:
- Higher-level program structuring patterns for separating concerns.
- The basics of message-passing concurrency, and of how concurrent programming can be used for parallel programming.
- Program structuring principles and design patterns for dealing with software errors.
- Property-based testing of functions and stateful APIs
- Use program structuring principles and design patterns, such as monads, to structure the code so that there is a clear separation of concerns.
- Use a parser combinator library to write a parser for a medium-sized language with a given grammar, including changing the grammar so that it is on an appropriate form.
- Implement simple concurrent/distributed servers using message passing, with appropriate use of synchronous and asynchronous message passing.
- Use program structuring principles and design patterns for making reliable distributed systems in the presence of software errors.
- Construct systematic test suites for programs and modules, including property-based tests where relevant.
- Quickly acquaint themselves with advanced programming techniques, from academic literature and/or technical documentation.
- Use those techniques to solve challenging, realistic problems.
- Write correct, efficient, and maintainable programs with clear separation of concerns.
- Give an assessment of their own code, based on a systematic evaluation of correctness, selection of algorithms and data structures, error scenarios, and elegance.
Lectures, mandatory assignments, exercise labs.
See Absalon when the course is set up.
Programming ability in at least two substantially different
languages, and familiarity with basic software-development
principles (modularity, abstraction, systematic testing, ...) will
It is strongly recommended to have some experience with functional programming, corresponding to Chapters 2, 4, 5, and 6 of "Learn You a Haskell for Great Good", for example.
General academic qualifications equivalent to a BSc degree in Computer Science, Software Development, or a closely related subject, are recommended.
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
Written assignment, 7 days
- Type of assessment details
- The exam is individual
- All aids allowed
- Marking scale
- 7-point grading scale
- Censorship form
- External censorship
Criteria for exam assessment
See learning outcome.
Single subject courses (day)
- Practical exercises
- 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
- Andrzej Filinski (7-738076848c777c52767b407d8740767d)
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Courseinformation of students