Course syllabus

Metabolic Engineering
Metabolic engineering

KMBN05, 7.5 credits, A (Second Cycle)

Valid for: 2024/25
Faculty: Faculty of Engineering LTH
Decided by: PLED B/K
Date of Decision: 2024-04-17
Effective: 2024-05-08

General Information

Main field: Biotechnology Depth of study relative to the degree requirements: Second cycle, in-depth level of the course cannot be classified
Elective for: B4-mb, B4-pt, MBIO2
Language of instruction: The course will be given in English

Aim

Based on previous knowledge obtained from courses, particularly in gene technology, mathematics and microbiology, the course aims to introduce the students to the field of metabolic engineering, discuss tools and strategies used in the field and give the students insight in how the technology can be used in industrial biotechnology.

Learning outcomes

Knowledge and understanding
For a passing grade the student must

Competences and skills
For a passing grade the student must

Judgement and approach
For a passing grade the student must

Contents

Examination details

Grading scale: TH - (U, 3, 4, 5) - (Fail, Three, Four, Five)
Assessment:

A written examination, a graded oral presentation based on a literature study and a graded lab simulation report and/or presentation.


The examiner, in consultation with Disability Support Services, may deviate from the regular form of examination in order to provide a permanently disabled student with a form of examination equivalent to that of a student without a disability.

Modules
Code: 0117. Name: Metabolic Engineering.
Credits: 7.5. Grading scale: TH - (U, 3, 4, 5).

Admission

Admission requirements:

The number of participants is limited to: No
Selection: Completed university credits within the programme. Priority is given to students enrolled on programmes that include the course in their curriculum.
Kursen överlappar följande kurser: KMB040

Reading list

Contact

Course coordinator: Ed van Niel, ed.van_niel@tmb.lth.se
Teacher: Magnus Carlquist, magnus.carlquist@tmb.lth.se
Course homepage: https://www.tmb.lth.se

Further information

The course contains obligatory sessions: introduction lecture, lab simulation sessions, literature study presentation.

The course is based on independent work. The use of generative artificial intelligence (GAI) is permitted for self-study but may not be used for examination activities such as laboratory reports, assignments, assignments and exams.