Programming Language Design (PLD)

Course content

The course explores the design space of programming languages and how the design choices affect the implementation and other properties of the language.

A brief history of programming languages is presented and a selected set of features are explored with respect to design choices, how they interact and how they can be implemented.

The aim is to give the student an understanding of the programming-language landscape that will both be helpful when the student designs and implements programming languages but also to better understand existing programming languages.

There will be some programming in languages very different from what most students have experienced, including variants of LISP and Prolog.

Education

BSc Programme in Computer Science

Learning outcome

The course aims to give the student:

Knowledge of

  • Implementation strategies
  • Syntax
  • Memory management
  • Scope rules
  • Control structures
  • Types
  • Language paradigms
  • Modules
  • Semantics
  • Domain-specific languages
  • Computational power of languages
  • Reversible and quantum programming

 

Skills to

  • Design and implement simple programming languages or language extensions using several of the above-listed features.
  • Describe this language using a mixture of formal and informal specification.
  • Make small programs in uncommon or esoteric languages.

 

Competences to

  • Evaluate how design choices affect and are affected by implementation methods and other properties of programming languages.
  • Design or extend a programming language tailored to a specific problem area or observing specific properties.

Lectures, classroom exercises, projects.

Notes that will be published on the course home page (Absalon).

The student should have knowledge of basic programming language implementation equivalent to the course "Implementering af programmeringssprog (IPS)" and have experience programming in several language paradigms, at least including a functional language in the ML family (Standard ML, OCaml, F#, Haskell), a C-like imperative language, and a class-based object-oriented language (Java, C# or similar).

Written
Oral
Individual
Collective
Continuous feedback during the course of the semester

Oral, collective feedback is given for the exercises in the exercise classes.  The mandatory assignments are given written, individual feedback.

ECTS
7,5 ECTS
Type of assessment
Written assignment, 7 days
Type of assessment details
The exam assignment is individual, and any form of cooperation or help from people other than the teachers of the course will be considered plagiarism.
Exam registration requirements

To qualify for the written, take-home exam, the student must pass three assignments during the course.  The assignments can be solved in groups of up to three people.  It will be possible to resubmit the first two assignments after getting feedback from TAs, but due to time constraints, no resubmission is possible for the third.

To pass an assignment, at least 40% of the maximum possible points must be achieved.

Aid
All aids allowed

Using ChatGPT or similar large language models is allowed both for the group assignments and the final exam assignment, but you must include the entire dialogue in the report (otherwise it is plagiarism), and you must argue the relevance and correctness (or lack thereof) of the answers you get from the AI (otherwise, you will get no points whatsoever from the answer).

Marking scale
7-point grading scale
Censorship form
No external censorship
Several internal examiners
Re-exam

Same as ordinary exam.

If a student is not qualified for the exam, qualification can be achieved by resubmission and approval of assignments no later than 3 weeks before the re-exam.

The comments about cooperation and use of large language models from the ordinary exam also apply to the reexam.

Criteria for exam assessment

See Learning Outcome.

Single subject courses (day)

  • Category
  • Hours
  • Lectures
  • 28
  • Preparation
  • 70
  • Theory exercises
  • 28
  • Project work
  • 80
  • English
  • 206

Kursusinformation

Language
English
Course number
NDAB16008U
ECTS
7,5 ECTS
Programme level
Bachelor
Duration

1 block

Placement
Block 3
Schedulegroup
B
Capacity
No limitation – unless you register in the late-registration period (BSc and MSc) or as a credit or single subject student.
Studyboard
Study Board of Mathematics and Computer Science
Contracting department
  • Department of Computer Science
Contracting faculty
  • Faculty of Science
Course Coordinator
  • Torben Ægidius Mogensen   (7-7b7679696c7574476b7035727c356b72)
Saved on the 14-02-2024

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