Seminars Computational Science

Course manual 2018/2019

Course content

In the Seminars Computational Science, the students read and discuss recent scientific papers, attend guest lectures by visiting scientists, learn the best practices and tools in Computational Science research, conduct a literature study, write an overview and give an oral presentation. 

Study materials

Literature

• Computational Science journals:

  – Journal of Computational Science (Elsevier)

  – Computing in Science and Engineering (IEEE)

  – Other topical journals

Other

• Computational Science tools, libraries, models and methods

Objectives

After a successful completion of the course, the students can:

• demonstrate the breadth of knowledge in Computational Science methods and applications;
• analyse recent Computational Science literature and reflect on the strengths and weaknesses of publications;
• write a comprehensive report on a literature study conducted on topical problems or methods of Computational Science;
• give an oral presentation about Computational Science methods or applications;
• describe the best practices in scientific research;
• apply Computational Science tools in their research;
• demonstrate critical thinking and inquisitive approach to reading literature and attending lectures.

Teaching methods

• Lecture
• Seminar
• Presentation/symposium

Weekly seminars with invited lectures and presentations by students. 

Learning activities

Attendance

The programme does not have requirements concerning attendance (OER-B).

Additional requirements for this course:

At least 75% of seminars shall be attended to pass the course. 

One seminar session may be replaced by another conference or workshop relevant to Computational Science. 

Assessment

Attendance of the seminars (at least 75%), a report, and oral presentation.

No marks, only pass/no pass with sufficient performance in all elements of the course.

Fraud and plagiarism

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

Timetable

The schedule for this course is published on DataNose.

Contact information

Coordinator

• dr. Valeria Krzhizhanovskaya