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CB2080 Proteomics 7.5 credits

Information per course offering

Termin

Information for Spring 2026 Start 16 Mar 2026 programme students

Course location

AlbaNova

Duration
16 Mar 2026 - 1 Jun 2026
Periods

Spring 2026: P4 (7.5 hp)

Pace of study

50%

Application code

60829

Form of study

Normal Daytime

Language of instruction

English

Course memo
Course memo is not published
Number of places

Places are not limited

Target group
No information inserted
Planned modular schedule
[object Object]

Contact

Examiner
No information inserted
Course coordinator
No information inserted
Teachers
No information inserted

Course syllabus as PDF

Please note: all information from the Course syllabus is available on this page in an accessible format.

Course syllabus CB2080 (Spring 2026–)
Headings with content from the Course syllabus CB2080 (Spring 2026–) are denoted with an asterisk ( )

Content and learning outcomes

Course disposition

The lectures are given by experts in their respective fields and cover the background of the proteomic topic, methods for mass spectrometry and affinity-based analyses and their applications in clinical or biological research. The course also includes insights into how proteomics data can be used to map large-scale protein expression and current bioinformatic strategies.

The course activities include a laboratory element where the students practice the methods discussed. The work is performed in a real-world research environment and designed as a group activity ending with project presentations.

At the end of the course, there are two workshops where PhD students, postdocs and researchers present ongoing research projects. The presentations are followed by discussions in groups as well as with the whole class and the students are meant to engage with the presenter about the topic.

Course contents

The objective of the course is to present current trends for large-scale protein analysis. The course will provide an overview of typical proteomics applications used today, including principles, needs and challenges. The content covers both experimental methods as well as data analysis strategies with a focus on biomarker discovery and precision medicine.

Intended learning outcomes

The course will introduce students to current methods, challenges, and applications in the field of proteomics. After completion of the course, the student is able to

  1. describe currently applied proteomics technologies
  2. compare different proteomics technologies
  3. suggest suitable approaches for biomedical applications
  4. engage in and contribute to scientific discussions
  5. critically evaluate scientific results

Literature and preparations

Specific prerequisites

A bachelor's degree, corresponding to at least 180 ECTS credits, including at least a total of 20 ECTS in life sciences, 20 ECTS in chemistry, 15 ECTS in mathematics and 5 ECTS in programming.

Literature

You can find information about course literature either in the course memo for the course offering or in the course room in Canvas.

Examination and completion

Grading scale

A, B, C, D, E, FX, F

Examination

  • ÖVN1 - Exercise, 1.0 credits, grading scale: P, F
  • ÖVN2 - Exercise, 1.0 credits, grading scale: P, F
  • TEN2 - Oral exam, 5.5 credits, grading scale: A, B, C, D, E, FX, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

If the course is discontinued, students may request to be examined during the following two academic years.

Examiner

Ethical approach

  • All members of a group are responsible for the group's work.
  • In any assessment, every student shall honestly disclose any help received and sources used.
  • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Further information

Course room in Canvas

Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.

Offered by

Main field of study

Biotechnology

Education cycle

Second cycle