Syllabus for Degree Project D in Computational Science

Examensarbete D i tillämpad beräkningsvetenskap

  • 15 credits
  • Course code: 1TD908
  • Education cycle: Second cycle
  • Main field(s) of study and in-depth level: Computational Science A1E

    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 (G)
  • Established: 2007-08-30
  • Established by:
  • Revised: 2018-08-30
  • Revised by: The Faculty Board of Science and Technology
  • Applies from: Spring 2019
  • Entry requirements:

    A Bachelor's degree and, in addition, at least 25 credits in computational science at Master's level, including courses at Master's level that are necessary for the project. Admission requires a project plan accepted by the department. Proficiency in English equivalent to the Swedish upper secondary course English 6.

  • Responsible department: Department of Information Technology

Learning outcomes

On completion of the course, the student should be able to:

  • show a deep knowledge within the chosen field of computational science
  • search, interpret and compile relevant scientific literature
  • delimit a scientific problem, plan a scientific study, choose appropriate methods, carry out the study, interpret and evaluate the results and, if applicable, generate falsifiable a hypotheses to explain the observations
  • present the results in correct language for different target groups both in scientific and in popular form

Content

An independent project is carried out, where the knowledge from earlier completed courses are applied. The project is guided by a supervisor in close connection to ongoing projects in research or development.

To achieve the objectives, the student shall

  • under supervision delimit a scientific problem, investigate it, interpret and evaluate the results and present the project in oral and written form
  • search, evaluate and compile information relevant for the chosen problem
  • actively participate in seminars and other activities at the department where the project is carried out

Instruction

The teaching is devised individually dependent on the direction of the project. Supervision is provided individually or in group.

Assessment

To pass, a passed oral and written presentation of the degree project at a seminar is required. The written presentation should consist of a scientific report, a popular summary and a summary in English. Oral and written opposition on another thesis.

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.

Syllabus Revisions

Reading list

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

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