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TBT4507 - Bioinformatics and Experimental design and data analysis, Specialization Course

About

Examination arrangement

Examination arrangement: Aggregate score
Grade: Letter grades

Evaluation Weighting Duration Grade deviation Examination aids
Assignment 50/100
School exam 50/100 2 hours D

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.

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 To
BT3220 3.7 AUTUMN 2020
TBT4506 3.7 AUTUMN 2020
TBT4508 3.7 AUTUMN 2020
MATV4008 3.7 AUTUMN 2020
More on the course

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Facts

Version: 1
Credits:  7.5 SP
Study level: Second degree level

Coursework

Term no.: 1
Teaching semester:  AUTUMN 2024

Language of instruction: English, Norwegian

Location: Trondheim

Subject area(s)
  • Technological subjects
Contact information
Course coordinator: Lecturer(s):

Department with academic responsibility
Department of Biotechnology and Food Science

Timetable

List view
Calendar view

Examination

Examination arrangement: Aggregate score

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Autumn ORD School exam 50/100 D 2024-12-03 15:00 INSPERA
Room Building Number of candidates
SL510 Sluppenvegen 14 16
Autumn ORD Assignment 50/100 INSPERA
Room Building Number of candidates
Summer UTS School exam 50/100 D INSPERA
Room Building Number of candidates
  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
Examination

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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