Course code BIO322

BIO322 Advanced topics in genomics

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Showing course contents for the educational year 2022 - 2023 .

Course responsible: Matthew Peter Kent, Marie Saito
ECTS credits: 10
Faculty: Faculty of Biosciences
Teaching language: EN, NO
(NO=norsk, EN=Engelsk)
Limits of class size:
Teaching exam periods:
This course starts in Autumn parallel. This course has teaching/evaluation in Autumn parallel.
Course frequency: Annually
First time: Study year 2003-2004
Course contents:

The course will give the students a broad conceptual understanding of how complex genomics data can be used to provide new biological insights. We will focus in particular on how we can study molecular mechanisms underlying biological differences at three levels; between species, between individual in a population and between cells in an organism.

The course has weekly lectures and group assignments where the students will work with specific analyses methods or the interpretation of results from analyses. The lectures are intended to introduction to a topic, while in the group assignments the students will gain practical experience with key concepts and methods used to analyse genomic variation.

Learning outcome:

KNOWLEDGE: At the end of the course, students will have knowledge about how genomic data from different species, between different individuals of the same species, and between different cells within an organism can be used to gain insight into biological phenomena. This will include conceptual principles specific to these three levels, along with methods and approaches and exposure to what kind of questions can be addressed at each level.

SKILLS: At the end of the course students should be able to design experiments, choose and prepare methods for analysing data, and be able to make a critical interpretation of results from such analyses.

GENERAL COMPETENCE: The student must have a good overview of both the possibilities and challenges of using genomics data to provide biological insight, so that he or she can make independent assessments of new methods and technologies in the future.

Learning activities:
Learning activities include lectures, group work, practical activities and presentation.
Teaching support:
Can be found at the BIO322-Canvas pages.
BIO210/211 and/or BIO200.
Recommended prerequisites:
Mandatory activity:

Individual completion of online quiz after modules 1-3.

Submission of group written report on module 4.

Group-based oral presentation of module 4.

Portfolio assessment of Module 4 project.
Nominal workload:
250 hours.
Reduction of credits:
Type of course:

One lecture per week (2 hours)

One session of group work per week (2 hours)

An external examiner approves the evaluation arrangements for the course.
Examination details: Portfolio: Passed / Not Passed