Main field(s) of study and in-depth level:
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:
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.
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.
Fail (U), Pass (3), Pass with credit (4), Pass with distinction (5)
The Faculty Board of Science and Technology
120 credits within the Master's Programme in Molecular Biotechnology Engineering including Transform Methods, Probability and Statistics, Chemical Thermodynamics and Microbiology. Participation in Scientific computing II. English language proficiency that corresponds to English studies at upper secondary (high school) level in Sweden ("English 6").
On completion of the course, the student should be able to:
formulate quantitative dynamics models of biochemical reaction schemes
explain the physical principles underlying speed and accuracy in enzymatic processes
simulate stochastic and deterministic reaction models.
Reaction kinetics and enzyme kinetics: Reaction and diffusion control, enzyme catalysis, relaxation kinetics, separation of time scales. Irreversible thermodynamics: Energy dissipation, accuracy and proofreading in chemical reactions. Non-linear deterministic systems analysis: Phase space analysis, bifurcation theory. Stability and oscillations in biological regulatory systems. Mesoscopic kinetics: Stochastic chemical processes, description of stochastic biological systems with Master equations. Reaction-diffusion models: Description of spatial dependent kinetics with both partial differential equations and reaction-diffusion Master equations. The course contain programming assignments in MATLAB, describing some selected control system illustrating the difference between stochastic and deterministic analysis. Furthermore, a wet lab session is included, where some example from the course is studied using fluorescence microscopy.
Lectures, classroom exercises, laboratory sessions and written assignments.
Written examination (3 credits), laboratory sessions and written assignments (2 credits).
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.