DM552: Programming Languages
Study Board of Science
Teaching language: Danish or English depending on the teacher, but English if international students are enrolled
EKA: N330038102
Assessment: Second examiner: Internal
Grading: 7-point grading scale
Offered in: Odense
Offered in: Spring
Level: Bachelor
STADS ID (UVA): N330038101
ECTS value: 10
Date of Approval: 05-10-2022
Duration: 1 semester
Version: Approved - active
Comment
DISCONTINUED - offered last time Spring 2023
1. Exam attempts are held June 2023
2. Exam attempts are held August 2023
3. Exam attempts will be held in January 2024
Entry requirements
Academic preconditions
The contents of DM550 Introduction to Programming must be known.
The course DM507 Algorithms and Data Structures is recommended.
The course DM507 Algorithms and Data Structures is recommended.
Course introduction
The course gives an introduction to the main concepts and the structure of programming languages, paying particular attention to the functional paradigm. It allows students to learn the general principles of programming language design, and the specific choices characterizing the language paradigms. It fosters a coherent understanding of advantages and disadvantages of different levels of abstraction and programming language constructs, giving to the participants the experience with programming in languages other than the mainstream object-oriented languages.
The course builds on the knowledge acquired in the courses DM550 Introduction to Programming and DM507 Algorithms and Data Structures. It provides a professional basis for choosing courses or bachelor projects in programming languages later on the program.
In relation to the learning outcomes of the degree the course has explicit focus on:
- developing skills in programming in different types of programming languages
- developing skills in analysing advantages and disadvantages of different language constructs
- developing skills in deciding and justifying professional decisions
- giving the competence to identify one's own needs for learning and structure one's own learning in different learning environments
Expected learning outcome
The learning objectives of the course are that the student demonstrates the ability to:
- detect and describe the main characteristics and structures of a programming language
- distinguish and develop simple programs in the main programming paradigms
- solve non-trivial programming tasks in a functional programming language by writing clear and correct code
Content
The following main topics are contained in the course:
- Scoping rules
- Stack of activation records
- Heap, Memory management
- Sequence control, procedures, recursion
- Types, Parameters, Exceptions
- Functional languages: higher-order, polymorphism, lists, lazy evaluation
Literature
Examination regulations
Exam element a)
Timing
Spring and June
Tests
Portfolio
EKA
N330038102
Assessment
Second examiner: Internal
Grading
7-point grading scale
Identification
Full name and SDU username
Language
Normally, the same as teaching language
Duration
Written exam - 4 hours
Examination aids
Project - aid allowed
Written examination:
The exam is without aids. However, it is allowed to use "ordbogsprogrammet" (the dictionary programme) from http://www.ordbogen.com/ in electronic form. The browser version is not allowed.
Internet is not allowed during the exam. However, you may visit system DE-Digital Exam and PeerGrade in connection with downloading the examination paper and template at the exam start and to submit your answer at the end of the exam.
ECTS value
10
Additional information
Portfolio examination consists of:
- Project
- Written exam, held during the exam period in June
The re-examination will be changed to an oral examination if there are nine or fewer registered.
Indicative number of lessons
Teaching Method
At the faculty of science, teaching is organized after the three-phase model ie. intro, training and study phase.
- Intro phase (lectures, class lessons) - 40 hours
- Training phase: 42 hours
The course will contain lectures, problem solving and programming. In the lectures, the theory will be covered, partly via a dialogue with the students. The aim of the problem solving is a better understanding of the theory, and through programming the students will obtain experience with the challenges and advantages of non imperative programming languages.
Activities during the study phase: Programming and small projects
Teacher responsible
Additional teachers
Timetable
Administrative Unit
Team at Educational Law & Registration
Offered in
Recommended course of study
Transition rules
Transitional arrangements describe how a course replaces another course when changes are made to the course of study.
If a transitional arrangement has been made for a course, it will be stated in the list.
See transitional arrangements for all courses at the Faculty of Science.