6 EC
Semester 1 & 2, period 1, 2, 3, 4, 5, 6
5284INPR6Y
| Owner | Master Computational Science (joint degree) |
| Coordinator | dr. Valeria Krzhizhanovskaya |
| Part of | Master Computational Science (Joint Degree), |
| Links | Visible Learning Trajectories |
This course is only available upon request and availability of teaching staff. Sometimes Computational Science researchers or lecturers offer small projects, which can be counted towards this Individual Project course. The Individual Project should include modelling and simulation. It cannot re-use the results or reports from other courses or internships. Project duration and workload should be equivalent to a 6 EC course (168 working hours). It is also possible to do a shorter project equivalent to a 3 EC course.
In order to start the Individual Project, the student should first find an Examiner who will define and grade the project. A list of examiners can be found on Datanose https://datanose.nl/#program[MSc%20CLSJD]/examiners. Daily supervisors can be from a different organisation, as long as they are experts in the field.
Then you can register for the course Individual Project (5284INPR6Y) in GLASS or via email vakaanmelding-fnwi@uva.nl (mention your student ID and the course code 5284INPR6Y).
In Canvas course page, you will find a PDF form to fill in. The Examiner will sign this form, and you will send it for approval to the Examinations Board. If the Board approves this project, then you upload the signed form to Canvas and start the project.
After completion of the Project, submit a project report on Canvas, along with the assessment by the Examiner. The evaluation criteria include: (1) Research work (theoretical knowledge, programming & math skills, independence, creativity and originality, work attitude, cooperation) and (2) Report quality (research question, relevance and motivation, use of literature, methods, results, conclusions, language and structure, layout) and code quality if it was a major part of the project. For a detailed description of these criteria, please see the Master Thesis Manual (Datanose course "Master Thesis Computational Science", course manual, link to the "thesis manual").
|
Activity |
Number of hours |
|
Self-study |
168 |
This programme does not have requirements concerning attendance (Ter part B).
| Item and weight | Details |
|
Final grade |
The 'Regulations governing fraud and plagiarism for UvA students' applies to this course. This will be monitored carefully. Upon suspicion of fraud or plagiarism the Examinations Board of the programme will be informed. For the 'Regulations governing fraud and plagiarism for UvA students' see: www.student.uva.nl