Syllabus for Project in Computational Science

Projekt i tillämpad beräkningsvetenskap

A revised version of the syllabus is available.

  • 15 credits
  • Course code: 1TD307
  • Education cycle: Second cycle
  • Main field(s) of study and in-depth level: Computer Science A1F, Technology 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:

    First cycle

    • 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

    Second cycle

    • 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

  • Grading system: Fail (U), Pass (3), Pass with credit (4), Pass with distinction (5)
  • Established: 2012-05-10
  • Established by: The Faculty Board of Science and Technology
  • Revised: 2017-05-03
  • Revised by: The Faculty Board of Science and Technology
  • Applies from: Spring 2017
  • Entry requirements:

    120 credits including 30 credits in mathematics. In addition 30 credits at Master

  • Responsible department: Department of Information Technology

Learning outcomes

To pass, 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.

Content

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.

Instruction

Project work in groups (2-4 students). Seminars and training in presentation skills and project management.

Assessment

Written report, oral presentation in seminars, poster, web presentation. Opponent on another presentation.

Syllabus Revisions

Reading list

The reading list is missing. For further information, please contact the responsible department.

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