Syllabus for Advanced Course on Topics in Scientific Computing I

Öppen fördjupningskurs i beräkningsvetenskap I

A revised version of the syllabus is available.

  • 5 credits
  • Course code: 1TD322
  • Education cycle: Second cycle
  • Main field(s) of study and in-depth level: Computational Science A1F, Computer 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: 2011-03-10
  • Established by: The Faculty Board of Science and Technology
  • Applies from: Autumn 2010
  • Entry requirements:

    At least 120 credits of which at least 30 credits in mathematics. In addition 20 credits Computer Science, where Scientific Computing III or Scientific Computing, bridging course or the equivalent must be included.

  • Responsible department: Department of Information Technology

Learning outcomes

The overall aim of this course is to offer an opportunity to deepen the knowledge in scientific computing, in an area not covered by ordinary courses. It can be done through studies of research papers, text books, projects or by participating in a PhD-level course.

To pass, the student should be able to

  • summarise and assess the content of the chosen area in scientific computing.

Content

The exact content is decided upon each individual course instance. The content must be on advanced level in one area within scientific computing. Here, we consider scientific computing in a broad sense; applications in Physics, Chemistry, Biology etc. are well suited under the condition that they have a computational focus.

Instruction

Decided upon on each course instance.

Assessment

A suitable exam is decided by examiner on each course instance. Types of examinations in the course are written tests, oral examination of a research paper or a book and/or implementations and investigations of numerical methods.

Syllabus Revisions

Reading list

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

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