Main field(s) of study and in-depth level:
Computer Science A1F,
Computational Science A1F
Explanation of codes
The code indicates the education cycle and in-depth level of the course in relation to other courses within the same main field of study according to the requirements for general degrees:
G1N: has only upper-secondary level entry requirements
G1F: has less than 60 credits in first-cycle course/s as entry requirements
G1E: contains specially designed degree project for Higher Education Diploma
G2F: has at least 60 credits in first-cycle course/s as entry requirements
G2E: has at least 60 credits in first-cycle course/s as entry requirements, contains degree project for Bachelor of Arts/Bachelor of Science
GXX: in-depth level of the course cannot be classified
A1N: has only first-cycle course/s as entry requirements
A1F: has second-cycle course/s as entry requirements
A1E: contains degree project for Master of Arts/Master of Science (60 credits)
A2E: contains degree project for Master of Arts/Master of Science (120 credits)
AXX: in-depth level of the course cannot be classified
Fail (U), Pass (3), Pass with credit (4), Pass with distinction (5)
The Faculty Board of Science and Technology
120 credits including 30 credits in mathematics. In addition 30 credits at Master's level, where 20 credits must be in computational science and where Scientific Computing III or Scientific Computing for Partial Differential Equations is included. Proficiency in English equivalent to the Swedish upper secondary course English 6.
On completion of the course, the student should be able to:
in a project group, plan and within given time frames carry out a project in the computational science area;
argue for and evaluate solution methods;
evaluate results and relate them to the project's subject field;
communicate with expertise from the project's subject field;
present and summarise the project work orally in English or Swedish in a seminar;
present and summarise the project work in the form of a scientific report and in a popular style as a poster and a web presentation.
The course is based on a project, where students in small groups analyse a given problem, and solve the problem, entailing planning, program development and presentation. The work entails interpretation of the problem, mathematical modelling, numerical methods, implementation, and presentation. The project tasks are taken from industry or university and cover many application areas. Instruction is also given in project management as well as oral and written presentation of scientific results, e.g. in seminars, posters, and on the web, including popular scientific presentation.
Project work in groups (2-4 students). Seminars and training in presentation skills and project management.
Written report, oral presentation in seminars, poster, web presentation. Opponent on another presentation.
If there are special reasons for doing so, an examiner may make an exception from the method of assessment indicated and allow a student to be assessed by another method. An example of special reasons might be a certificate regarding special pedagogical support from the disability coordinator of the university.