DM560: Introduction to Programming in C++
Study Board of Science
Teaching language: Danish or English depending on the teacher, but English if international students are enrolled
EKA: N330010102
Assessment: Second examiner: None
Grading: Pass/Fail
Offered in: Odense
Offered in: Autumn
Level: Bachelor
STADS ID (UVA): N330010101
ECTS value: 5
Date of Approval: 25-04-2019
Duration: 1 semester
Version: Approved - active
Entry requirements
Entry requirements. The course cannot be followed if you have passed either DM536 or DM550, or if you have either DM536 or DM550 mandatory in your curriculum.
Academic preconditions
Course introduction
The aim of the course is to enable the student to program in C++. Programming is a fundamental competence which is the foundation for development of efficient computer based solutions.
The course gives an academic basis for applying programming as a solution method later in the study programme.
In relation to the competence profile of the degree it is the explicit focus of the course to:
- Give the competence to apply computer programming to model and analyse numerical problems
- Give skills to develop computer programs in C++
- Give knowledge and understanding of practical computer programming
Expected learning outcome
The learning objective of the course is that the student demonstrates the ability to:
- Design object-oriented models for concrete problems.
- Devise a program structure based on the model.
- Implement the planned program in the concrete programming language used.
- Find and use adequate elements in the library belonging to the language.
- Plan and execute a testing of the program.
- Design and implement recursive solutions of problems.
- Design and implement abstract data types.
Content
The following main topics are contained in the course:
- The basic structuring tools sequence, repetition, conditional instruction and subprogram.
- Fundamental data structures from the library belonging to the language.
- Object-oriented programming techniques, including examples and applications.
- Recursion and recursive data structures.
- Examples of abstract data types and their realization.
Literature
Examination regulations
Exam element a)
Timing
Autumn
Tests
Project
EKA
N330010102
Assessment
Second examiner: None
Grading
Pass/Fail
Identification
Full name and SDU username
Language
Normally, the same as teaching language
Examination aids
To be announced during the course
ECTS value
5
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. These teaching activities are reflected in an estimated allocation of the workload of an average student as follows:
- Intro phase (lectures, class lessons) - 20 hours
- Training phase: 22 hours
Educational form: In the intro phase, concepts, theories and models are introduced and put into perspective. In the training phase, students train their skills through exercises and dig deeper into the subject matter.
Study phase activities. students gain academic, personal and social experiences that consolidate and further develop their scientific proficiency. Focus is on immersion, understanding, and development of collaborative skills.