EPN-V2

KJM2400 Biochemistry Course description

Course name in Norwegian
Biokjemi
Study programme
Bachelor's Degree Programme in Biotechnology and Applied Chemistry
Weight
10.0 ECTS
Year of study
2023/2024
Curriculum
SPRING 2024
Schedule
Course history

Introduction

No aids allowed

Recommended preliminary courses

The following coursework is compulsory and must be approved before the student can sit the exam:

  • Individual exercises. Takes in total about 3 hours to finish.

Required preliminary courses

Grade scale A-F.

Learning outcomes

After completing the course, the student is expected to have achieved the following learning outcomes defined in terms of knowledge, skills and general competence:

Knowledge

The student:

  • can explain the difference between the structure of prokaryotic and eukaryotic cells
  • can explain the structure and function of the most important biochemical molecules: carbohydrates, lipids, proteins and nucleic acids
  • can explain the functions of enzymes and coenzymes and understand basic enzyme kinetic theories
  • can describe the structure and function of biological membranes
  • can describe metabolic processes such as glycolysis, the citric acid cycle, electron transport chains and photosynthesis
  • can explain DNA synthesis (replication), RNA synthesis (transcription) and protein synthesis (translation) in prokaryotic organisms
  • has a basic understanding about microorganisms

Skills

The student is capable of:

  • growing and identifying some types of microorganisms with the help of gram staining, microscopy, metabolism experiments and enzymatic tests
  • performing a growth experiment and constructing a bacterial growth curve
  • using basic protein isolation methods and analyzing the protein amount and purity with the help of gel electrophoresis and spectroscopy
  • performing basic enzyme kinetic experiments
  • performing health risk assessments and classifying chemical compounds and solutions
  • is capable of planning and performing biochemical experiments
  • is capable of communicating the results of laboratory experiments both orally and in writing

Teaching and learning methods

The course builds on KJPE1300 General Chemistry and KJM1400 Organic Chemistry.

Course requirements

The following coursework is compulsory and must be approved before the student can take the exam:

  • 5-day laboratory course and 3 written lab reports (in groups of 2-4 students, 10-15 pages per report)
  • A written assignment in the form of curriculum questions
  • A group assignment ((in groups of 2-4 students) and oral presentation of the assignment.

Assessment

Statistikk gir sammen med de andre realfagene det fundamentale grunnlaget for ingeniørfagene. Dette emnet skal gi studenten forståelse for statistiske og sannsynlighetsteoretiske begreper, problemstillinger og løsningsmetoder med sikte på anvendelser innen eget fagfelt og ingeniørfag generelt. 

Permitted exam materials and equipment

Ingen ut over opptakskrav.

Grading scale

After completing the course, the student is expected to have achieved the following learning outcomes defined in terms of knowledge, skills and general competence:

Knowledge

The student:

  • is capable of explaining key concepts of set theory, probability theory, parameter estimation, hypothesis testing theory and choice of model
  • is capable of explaining normal, binomial, Poisson and exponential probability distributions, as well as typical problems to which they can be applied

Skills

The student is capable of:

  • applying statistical principles and concepts from his/her own professional field
  • carrying out basic probability calculations and parameter estimation
  • setting up confidence intervals and testing hypotheses for normally and binomially distributed data
  • carrying out simple correlation/regression analyses

General competence

The student:

  • uses statistical approaches to engineering problems and communicates them orally and in writing
  • is capable of solving problems in engineering by using probability calculations, statistical planning of trials, data collection and analysis

Examiners

Lectures and weekly exercise sessions. In the exercise sessions, the students work on assignments, both individually and in groups, under the supervision of a lecturer and/or student assistant.