BIOS3010 – Bioinformatics
Course description
Schedule, syllabus and examination date
Course content
Today's methods in molecular biology produce large datasets that require specialised computational tools to be analysed. These make it possible to tackle questions in the biosciences that were previously seen as unanswerable. This course will introduce central topics, theories and tools in bioinformatics, and teach you to use these to compare and analyse biological datasets.
Learning outcome
After completing this course, you
- can compare sequences of nucleotides and amino acids to provide functional and evolutionary information
- can analyse and visualise protein structure information
- can use simple programming to implement algorithms relevant to bioinformatics
- can perform simple analyses of datasets from high-throughput sequencing technologies
- can discuss and assess the use of methods for sequence and structure analyses
- can explain the theoretical and statistical principles underlying sequence and structure analysis
Admission to the course
Students who are admitted to study programmes at UiO must each semester register which courses and exams they wish to sign up for?in Studentweb.
Priority will be given to students in the bachelor program in Biosciences.
Special admission requirements
In addition to fulfilling the Higher Education Entrance Qualification, applicants have to meet the following special admission requirements:
- Mathematics R1 (or Mathematics S1 and S2)
And in addition one of these:
- Mathematics R2
- Physics (1+2)
- Chemistry (1+2)
- Biology (1+2)
- Information technology (1+2)
- Geosciences (1+2)
- Technology and theories of research (1+2)
Mathematics R2 was a requirement up until and including the study year 2021/2022, as part of a trial arrangement. From and including the study year 2022/2023, Mathematics R2 is no longer a requirement.
The special admission requirements may also be covered by equivalent studies from Norwegian upper secondary school or by other equivalent studies (in Norwegian).
Formal prerequisite knowledge
A background in elementary?programming, equivalent to the content of BIOS1100 – Introduction to computational models for Biosciences.
Recommended previous knowledge
BIOS1110 – Celle- og molekyl?rbiologi og STK1000 – Introduction to Applied Statistics
Overlapping courses
- 8 credits overlap with MBV3070 – Bioinformatics (discontinued).
- 6 credits overlap with IN4030 – Introduction to Bioinformatics.
Teaching
- Lectures
- Organized group tutorials with TA per week (Mandatory for the first four weeks)
- Independent tutorials with mandatory assignments?where TA is available (Mandatory for the first four weeks)?
Attendance is mandatory for the first lecture, also for those on the waiting list. If you are unable to attend the first lecture, you will lose your seat on the course if you have not informed the student administration studieinfo@ibv.uio.no prior to the first lecture.
Approved mandatory course work is valid for 3 years.
Access to teaching: A student who has completed compulsory instruction and coursework and has had these approved, is not entitled to repeat that instruction and coursework. A student who has been admitted to a course, but who has not completed compulsory instruction and coursework or had these approved, is entitled to repeat that instruction and coursework, depending on available capacity.
Examination
- Final written exam which counts 100% towards the final?grade.?
Mandatory assignments must be passed and mandatory attendance registered prior to students sitting for the exam.
Approved mandatory course work is valid for 3 years.
Exam attempts: It will also be counted as one of the three attempts to sit the exam for this course, if you sit the exam for one of the following course: MBV3070 – Bioinformatics (discontinued)
Examination support material
No examination support material is allowed.
Language of examination
You may write your examination paper in Norwegian, Swedish, Danish or English.
Grading scale
Grades are awarded on a scale from A to F, where A is the best grade and F is a fail. Read more about the grading system.
Resit an examination
This course offers both postponed and resit of examination. Read more:
More about examinations at UiO
- Use of sources and citations
- Special exam arrangements due to individual needs
- Withdrawal from an exam
- Illness at exams / postponed exams
- Explanation of grades and appeals
- Resitting an exam
- Cheating/attempted cheating
You will find further guides and resources at the web page on examinations at UiO.