DM574: Introduction to Programming
Study Board of Science
Teaching language: Danish or English depending on the teacher, but English if international students are enrolled
EKA: N330057102
Assessment: Second examiner: Internal
Grading: 7-point grading scale
Offered in: Odense
Offered in: Autumn
Level: Bachelor
STADS ID (UVA): N330057101
ECTS value: 7.5
Date of Approval: 24-02-2022
Duration: 1 semester
Version: Approved - active
Entry requirements
The course cannot be followed if the student has passed DM536, DM550, DM562, DM857, DS800, DS801, DS830 or MM560, or if the student has DM536, DM550, DM562, DM857, DS800, DS801, DS830 or MM560 mandatory in their curriculum.
Academic preconditions
Course introduction
The course gives an introduction to structured and object-oriented programming.
The course provides an academic basis for solving problems by modelling and implementing computer programs.
In relation to the learning outcomes of the degree the course has explicit focus on:
- giving the competence to plan and execute computer programs in Python
- knowledge of common programming methods
- developing skills in programming in different types of programming languages
- developing skills in software development
- developing skills in constructing bigger software systems
- developing skills in deciding and justify professional decisions
- developing skills in describing, formulating and disseminating problems and results to either other professional or non-specialists or collaborative partners and users
- giving the competence to handle complex and development-oriented situations in study and work contexts
- giving the competence to identify one's own needs for learning and structure one's own learning in different learning environments
This course builds upon the students' highschool competences in Mathematics. The course's content is essential for later courses in algorithms and software development, where the students are required to be able to program.
Expected learning outcome
The learning objectives of the course are that the student demonstrates the ability to:
- design models for concrete problems;
- devise a program structure based on the model;
- implement the planned program in the concrete programming language used;
- plan and execute a testing of the program;
- design and implement recursive solutions of problems.
Content
The following main topics are contained in the course:
- The basic structuring tools sequence, repetition, conditional instruction and procedure.
- Fundamental data structures such as lists, maps, and trees.
- Structured programming techniques, including examples and applications.
- Recursion and recursive data structures.
The course is taught in Python.
Literature
Examination regulations
Exam element a)
Timing
Autumn and January
Tests
Portfolio exam with oral defense
EKA
N330057102
Assessment
Second examiner: Internal
Grading
7-point grading scale
Identification
Full name and SDU username
Language
Normally, the same as teaching language
Examination aids
To be announced during the course
ECTS value
7.5
Additional information
Portfolio examination consists of two parts:
- Small individual assignments
- Group project (with written report and oral defense). Oral defence is held during the exam period - January.
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.
Teaching activities are planned for the following amount of hours:
- Introphase (lectures): 28 hours
- Training phase: 28 hours (discussions)
- Studyphase: 10 hours
In the intro phase a combination of classical lectures, where the terms and methods of the course are presented, and more applied sessions, where students are taught how the learnt knowledge can be applied in concrete scenarios, is employed. The training phase consists of discussion sessions, where the students learn the competences that enable them to transform their knowledge into solution and, consequently, into concrete computer programs. In the study phase the students work independently with improving their understanding and their competences regarding the contents of the course.
Activities during the study phase: The students get concrete assignments, which they are expected to solve in small groups.
Teacher responsible
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.