Syllabus for Applied Bioinformatics

Tillämpad bioinformatik

Syllabus

  • 15 credits
  • Course code: 1MB519
  • Education cycle: Second cycle
  • Main field(s) of study and in-depth level: Technology A1F, Bioinformatics 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 (G)
  • Established: 2018-03-06
  • Established by:
  • Revised: 2018-08-30
  • Revised by: The Faculty Board of Science and Technology
  • Applies from: week 30, 2019
  • Entry requirements: 120 credits as well as 30 credits of the courses Proteomics and Metabolomics, Script Programming, Statistical Inference for Bioinformatics, Knowledge-based Systems in Bioinformatics, Molecular Evolution, Information Management Systems, Large Datasets for Scientific Applications, Genome Analysis, Automated Predictive Modelling.
  • Responsible department: Biology Education Centre

Learning outcomes

The aim of the course is to apply previously acquired knowledge in a bioinformatic project.

After completing the course the student should be able to:

  • plan and carry out a bioinformatic project that intends to solve a biological, biomedically or technical problem
  • Critically analyse, value and summarise the obtained results and present those in writing as well as orally
  • make well founded scientific, social and ethical assessments of all parts of the project
  • search, value and use scientific literature in subjects that lie within the scope of the course and implement this knowledge in the project.

Content

The studies are carried out in the form of project work. The projects are designed in consultation with employer in the industry or academia and include development of new tools or applications of already existing tools to solve biological and biomedical problem. The projects can e.g. include genome annotation, gene expression analysis, population genetic analyses or modelling of metabolic reaction pathways. The course also includes practicing to critically analyse and account for strengths and weaknesses in his own and others' oral and written presentations as well as in the project work (engineering skills, scientific approach and experimental ability).

Instruction

Project work and seminars

Assessment

Seminars 3 credits. Written and oral presentation of project work (12 credits).

If special circumstances apply, the examiner can make exceptions from the stated exam method and decide that a student is assessed in a different way. Special causes can e g be notice of special educational support from the coordinator of the university for students with disabilities.

Reading list

Reading list

Applies from: week 30, 2019

  • Vetenskaplig och teknisk litteratur

    Institutionen för biologisk grundutbildning,