Advanced Programming (AP)

Course content

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

Learning outcome

At course completion, the successful student will have:

Knowledge of

  • 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

Skills to

  • 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.


Competences to

  • 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 be expected.

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.

Continuous feedback during the course of the semester
7,5 ECTS
Type of assessment
Written assignment, 7 days
Type of assessment details
The exam is individual
Exam registration requirements

To qualify for the exam 4-6 mandatory assignments must be submitted and passed. The exact number of required assignments will be given at course start.

All aids allowed
Marking scale
7-point grading scale
Censorship form
External censorship

The re-exam is an individual written assignment, different from the ordinary exam.The duration of the re-exam is 5 days.

If student did not qualify for the ordinary exam, qualification for the re-exam can be achieved by (re)submission and approval of the mandatory assignments (with one additional submission required in order to pass). The assignments must be submitted no later than the start of the winter break.

Criteria for exam assessment

See learning outcome.

Single subject courses (day)

  • Category
  • Hours
  • Lectures
  • 29
  • Preparation
  • 131
  • Practical exercises
  • 21
  • Exam
  • 25
  • English
  • 206


Course number
7,5 ECTS
Programme level
Full Degree Master

1 block

Block 1
No limit
The number of seats may be reduced in the late registration period
Study Board of Mathematics and Computer Science
Contracting department
  • Department of Computer Science
Contracting faculty
  • Faculty of Science
Course Coordinator
  • Andrzej Filinski   (7-637066747c676c42666b306d7730666d)
Saved on the 28-02-2023

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