Course - Bioinformatics and Experimental design and data analysis, Specialization Course - TBT4507
Bioinformatics and Experimental design and data analysis, Specialization Course
About
About the course
Course content
Experimental design and data analysis:-Uncertainty analysis,-Hypothesis testing,-Simple and Multiple linear regression,-Experimental design with two-level factorial experiments,-Analysis of variance (ANOVA),-Nonparametric methods,-IBM SPSS for statistical analysis.
The Bioinformatics part (50%) gives a comprehensive introduction to DNA analysis. Each student receives a 20 kb large "raw" DNA-sequence with unknown identity and origin (bacterial, archaeal, or eukaryotic). The students in groups of 2-4 is expected to analyse the sequence based on questions raised in an available compendium. This bioinformatic part is using a practical approach where the students are guided and have to use a wide portfolio of electronic bioinformatic tools. The students will submit several reports throughout the course work, where each is building on the previous, and all are included in the basis for grading.
Learning outcome
Experimental design and data analysis: The student has knowledge of the basic statistical models and methods used in science and technology. The student can interpret results of hypothesis testing, regression analysis, experimental design, analysis of variance and nonparametric methods. The student can use software for statistical calculations and analyzes.
Bioinfomatics: The student learns how to read DNA.
Learning methods and activities
Lectures (24 h), exercises (8 h) and self-study (64 h).
The bioinformatic part uses a problem-based learning approach.
Compulsory assignments
- Exercises statistics
Further on evaluation
Experimental design and data analysis: The number of exercises is 4, all must be approved to take the exam. Written exam (2h).
Bioinformatics: Based on a report.
Each graded part (the written exam in Experimental design and data analysis, the report in Bioinformatics) counts 50% of the total grade in the course.
Both the report and the written exam must be passed to pass the course.
If there is a re-sit examination, the examination form may be changed from written to oral. In case of retake after a failed exam or to improve grade, students can choose to retake only one part of the assessment.
Recommended previous knowledge
Bioinformatics: Basic knowledge in biochemistry, microbiology, and cell biology; e.g. corresponding to the courses TBT4102 Biochemistry 1, TBT4107 Biochemistry 2, and TBT4110 Microbiology. Basic course in Statistics from BSc.
Course materials
Probability and Statistics for Engineers and Scientists (9th Edition) by Ronald E. Walpole.
Bioinformatics: Information will be given at commencement of the course. This part relies on use of freely available online websites/softwares.
Credit reductions
| Course code | Reduction | From |
|---|---|---|
| TBT4506 | 3.7 sp | Autumn 2020 |
| TBT4508 | 3.7 sp | Autumn 2020 |
| MATV4008 | 3.7 sp | Autumn 2020 |
Subject areas
- Technological subjects
Contact information
Course coordinator
Lecturers
Department with academic responsibility
Examination
Examination
Ordinary examination - Autumn 2025
School exam
The specified room can be changed and the final location will be ready no later than 3 days before the exam. You can find your room location on Studentweb.