NDAK16007U CHANGED: Software Engineering (SE)
MSc Programme in Computer Science.
CHANGED FOR THE STUDY YEAR 2018/19
Software engineering represents the principles, methods, tools, and techniques involved in the design, development, implementation, and maintenance of software systems. The purpose of this course is to provide an overview of the different aspects and stages involved in the engineering of software with a special focus on the use of models in software engineering and adaptability. Assuming that course participants are acquainted with basic software development principles, this course will provide knowledge on and experience with the wider aspects and stages in the lifecycle of a software system. During this course you will as a student be introduced to the general principles of software engineering, methods for addressing software engineering problems, and common tools and techniques applied in the different aspects of the field. Concretely, you will be given access to existing code for a case management system and be asked to make and document a change to the system.
The course will include lectures and exercises in the following
subjects:
• Project Management
• Requirements Elicitation
• Software Design, Models and Development
• Software Implementation
• Maintenance, Change and Evolution
CHANGED FOR THE STUDY YEAR 2018/19
Knowledge of
- How software systems are designed, developed, implemented, and maintained
- The necessary principles in the engineering of software systems
- Methods, tools, and techniques to design, develop, implement, and maintain software
Skills to
- Manage the processes of designing, developing, implementing, and maintaining software systems
- Communicate the design of a system
- Control the quality of the produced software
- Adapt and predict evolution of software systems
Competences to
- Document and communicate their engineering process
- Critically read and apply existing methods, tools, and techniques
See Absalon for a list of course literature.
- Category
- Hours
- Exam
- 1
- Exam Preparation
- 13
- Lectures
- 24
- Preparation
- 56
- Project work
- 80
- Theory exercises
- 32
- Total
- 206
There will be continuous supervision of student projects during
exercise classes and it will be possible to hand in and receive
feedback on a draft of the final report.
In all cases, it is the student's own responsibility to make
use of these opportunities.
As
an exchange, guest and credit student - click here!
Continuing Education - click here!
PhD’s can register for MSc-course by following the same procedure as credit-students, see link above.
- Credit
- 7,5 ECTS
- Type of assessment
- Oral examination, 25 minutesThe students as a group will first present their project. The presentation will take approximately 15-20 minutes, depending on the number of students in the group.
This is followed by an individual oral exam of 20 minutes (including grading) per student without preparation.
The examination will be based on the student report and course curriculum. - Exam registration requirements
Submitted and approved student report based on the course project and student's reflections.
- Aid
- Only certain aids allowed
Only the following materials are allowed at the exam:
• The project report
• The presentation slides
• Source code for the group project
- Marking scale
- 7-point grading scale
- Censorship form
- No external censorship
Several internal examiners.
- Re-exam
Same as ordinary exam.
The report must be (re)submitted no later than two weeks before the re-exam in order for the student to qualify for the re-exam.
Criteria for exam assesment
See Learning Outcome.
Course information
- Language
- English
- Course code
- NDAK16007U
- Credit
- 7,5 ECTS
- Level
- Full Degree Master
- Duration
- 1 block
- Placement
- Block 3
- Schedule
- A
- Course capacity
- No limit
- Continuing and further education
- Study board
- Study Board of Mathematics and Computer Science
Contracting department
- Department of Computer Science
Contracting faculty
- Faculty of Science
Course Coordinators
- Thomas Troels Hildebrandt (hilde@di.ku.dk)