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| Title |
Advanced Project in Computer Science
|
| Semester |
E2025
|
| Master programme in |
Computer Science
|
| Type of activity |
Project |
| Mandatory or elective |
Elective It is mandatory to sign up for either the Advanced Project in Computer Science or Project-oriented Internship in Computer Science. |
| Teaching language |
English
|
| Study regulation |
Read about the Master Programme and find the Study Regulations at ruc.dk |
| REGISTRATION AND STUDY ADMINISTRATIVE | |
| Registration |
You register for activities through stads selvbetjening during the announced registration period, which you can see on the Study administration homepage. When registering for courses, please be aware of the potential conflicts and overlaps between course and exam time and dates. The planning of course activities at Roskilde University is based on the recommended study programmes, which should not overlap. However, if you choose optional courses and/or study plans that goes beyond the recommended study programmes, an overlap of lectures or exam dates may occur depending on which courses you choose. |
| Number of participants |
|
| ECTS |
15
|
| Responsible for the activity |
Henrik Bulskov (bulskov@ruc.dk)
|
| Head of study |
Henrik Bulskov (bulskov@ruc.dk)
|
| Teachers |
|
| Study administration |
IMT Registration & Exams (imt-exams@ruc.dk)
|
| Exam code(s) |
U60063
|
| ACADEMIC CONTENT | |
| Overall objective |
The project work is problem-oriented and must develop the student's skills in applying theories and methods within a defined academic computer science topic. The project work involves a self-chosen problem in relation to the design and implementation of an IT application in a complex context. The project gives students the opportunity to describe and reflect upon independently completed work dealing with a complex research question. |
| Detailed description of content |
The project work is problem-oriented and must develop the student's skills in applying theories and methods within a defined academic computer science topic. The project work involves a self-chosen problem in relation to the design and implementation of an IT application in a complex context. The project gives students the opportunity to describe and reflect upon independently completed work dealing with a complex research question. |
| Course material and Reading list |
Decided by students and supervisor. |
| Overall plan and expected work effort |
Total workload of 412 hours. |
| Format |
|
| Evaluation and feedback |
Projects are survey evaluated by the IMT department. |
| Programme |
As agreed with the supervisor. The supervision framework and practice are described by the Study Board for Computer Science and Digital Transformation. In the framework you can find information about what you can expect from your supervisor, norms for supervision hours, and about the progress report. You can read the supervision practice here along with other guidelines from the Study Board, such as guidelines for allocation of funds for projects, thesis contracts, etc. |
| ASSESSMENT | |
| Overall learning outcomes |
After completing this course, students will be able to:
|
| Prerequisites |
|
| Form of examination |
Oral project exam in groups with individual assessment
Permitted group size: 2-6 students. The character limits of the project report are: For 2 students: 4,800-180,000 characters, including spaces. For 3 students: 4,800-192,000 characters, including spaces. For 4 students: 4,800-192,000 characters, including spaces. For 5 students: 4,800-204,000 characters, including spaces. For 6 students: 4,800-204,000 characters, including spaces. The character limits include the cover, table of contents, abstract, bibliography, figures and other illustrations, but exclude appendices. Time allowed for the exam including time used for assessment is for: 2 students: 60 minutes. 3 students: 75 minutes. 4 students: 90 minutes. 5 students: 105 minutes. 6 students: 120 minutes. Permitted support and preparation materials at the oral exam: All Assessment: 7-point grading scale Moderation: Internal co-assessor. |
| Form of Re-examination |
Samme som ordinær eksamen / same form as ordinary exam
|
| Type of examination in special cases |
|
| Examination and assessment criteria (implemented) |
The exam will be based on the project report. In the assessment of the examination, emphasis will be placed on the learning outcomes. Use of Generative Articifial Intelligence (GAI) in exams For project reports, bachelor's projects and master's theses, generative AI aids (GAI) are permitted in the work with the exam if the use is declared. You must clearly declare how you have used generative artificial intelligence (GAI). This can be included as part of the methodology section or as a short statement at the end of your report. This means that you must describe how you have used GAI, e.g. for the preparatory work on the project, to ask questions and search for information, to receive feedback and criticism on your text, to carry out proofreading or to improve language and readability. It is important that you actively relate to your choice of tools in this way, as it is part of the entire process of creating the project, and thus part of your scientific method and professional communication. The use of any specific text that is GAI-generated requires citation, just as when using all other sources from which direct quotations are used. In the library's guide, you can see more about how to cite AI and how you can account for your use of GAI. The use of generative artificial intelligence (GAI) must always take place within the framework of Roskilde University's ‘Guidelines for using generative artificial intelligence in written exams.’ However, ordinary spell checking and other language suggestions, such as Word or other word processing programs, as well as programs for writing minutes and transcription, are permitted in all written exams and do not need to be declared. |
| Exam code(s) | |
| Last changed | 30/09/2025 |
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