Course "Introduction to Functional Programming" SoSe2020

This course is mandatory for BSc Computer Science.

Students of other curricula may choose this course; please check your curriculum.

Team

  • Lecturer: Prof. Dr. Ralf Lämmel <ed.znelbok-inu|lemmeal#ed.znelbok-inu|lemmeal>
  • Lab assistant: Hakan Aksu <ed.znelbok-inu|uskanakah#ed.znelbok-inu|uskanakah>
  • Assignment assistants:
    • Maximilian Breibach <ed.znelbok-inu|hcabierbm#ed.znelbok-inu|hcabierbm>
    • Lukas Christmann <ed.znelbok-inu|nnamtsirhcsakul#ed.znelbok-inu|nnamtsirhcsakul>

++ Important Note ++

This semester, the course will be organized via the OLAT platform. The registration password was sent to all students registered in KLIPS at the start of the lecture period. If you were not registered at that time, or are unable to register via KLIPS in general, you can also request access via mail to ed.znelbok-inu|uskanakah#ed.znelbok-inu|uskanakah.

There will be no on-campus meetings until further notice. All information on materials, videos, assignments and more can be found in OLAT.


Synopsis and format

See the official (timeless) synopsis for this module in the curriculum. The following text is closely tied to the specific edition. See the general course site for additional material, e.g., pointers to applicable textbooks for those interested. The course introduces the functional programming paradigm with the Haskell programming language as the primary language throughout the course. The course covers basics of functional programming (functions, datatypes, list processing, higher-order functions, etc.), functional design of data structures and algorithms, more advanced, mathematically influenced concepts (such as monoids, monads, and functors), selected programming techniques around data processing (e.g., generic programming) and basic software engineering methods for functional programs (e.g., modularization, documentation, testing, and packaging).


Links


Schedule

  • Lecture: Friday 14:15-15:45, D 028
  • Lab: Mondays 12:15 - 14:45 E 312
  • Exam: TBA
  • Resit: TBA

Assignments

The assignments are designed to help understand all material covered in the lecture. Also, the assignments support effective preparation for the exam. Issued assignments may be discussed in Olat. Solved assignments are discussed in detail in the lab videos. Each student has a folder at https://svn.uni-koblenz.de/fp/main/fp20/students/username (replace username by your Uni-specific username). The text of the assignment for each option is part of a source file providing a skeleton for the solution. These files are put into the public assignment folder on the date of issue by the assignment assistant. The folder has to be moved and committed to personal student folders and have to be completed and committed by the deadline. Thus, students are only supposed to modify the given file and not create new files. The assignment assistant checks submitted solutions.

The “topic” in the following table is linked to the assignment, once it is published. Students also find the assignment in their folders, as described above.

No. Date of issue Deadline Topic
1 TBA TBA Basic functions]
2

Exam admission rules

Students need to pass homework assignments as follows:

  • Admission from previous years is inherited.
  • Students submit individual submissions for the assignments.
  • Submission must arrive by the deadline. Late submissions are not graded.
  • 8 submissions need to receive a score 1 or better.
  • 5 submissions need to receive a score 2.
  • Students need to register for exam via KLIPS.

Scores: Missing or useless or late submissions receive score 0. Submissions which are essentially correct and complete and meet essentially all additional software engineering requirements (e.g., regarding testing), modulo smaller problems, receive score 2. Submissions which show the noteworthy beginning of a proper solution but are definitely incorrect or incomplete or violate software engineering requirements receive score 1.

Relation between lecture, assignments, and exam: The topics of the assignments and labs, which are directly inherited from the topics for the lectures, define directly the topics for the exam. There is going to be 10? tasks in the exam, one task per lecture/assignment topic. Each exam task received 0-2 points.