Course - Biopolymeric materials and Experimental design and data analysis, Specialization Course - TBT4506
TBT4506 - Biopolymeric materials and Experimental design and data analysis, Specialization Course
About
Examination arrangement
Course content
In 'Biopolymeric Materials', emphasis will be placed on the properties and behavior of biological macromolecules at concentrations above critical overlap concentration, such as viscosity profile, order / disorder transitions, gel formation, viscoelastic properties and phase behavior when mixing macromolecules. Examples of the use of biopolymers will be given with special emphasis on biomedicine and biopolymers used in immobilization of cells and enzymes. Demonstration of rheological equipment for characterization of soft materials will be given.
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.
Learning outcome
Biopolymeric materials: Basic knowledge of biological biopolymers in concentrated solutions and gels, materials based on them and how such materials can be tailored and changed to defined properties.
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.
Learning methods and activities
Biopolymeric materials: Lectures and demonstrations.
Experimental design and data analysis: Lectures (24 h), exercises (8 h).
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 written exam (2 hours).
Biopolymeric materials and Experimental design and data analysis: Written exam (2 hours).
Both parts of the exam must be passed to receive a passing grade in 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
Previous knowledge in biochemistry, microbiology, biochemical engineering, and molecular genetics is required; e.g. corresponding to the courses TBT4107, TBT4110, TBT4145 and TBT4135. Basic course in Statistics from BSc.
Course materials
Information to be given at commencement of the course. Probability and Statistics for Engineers and Scientists (9th Edition) by Ronald E. Walpole.
Credit reductions
| Course code | Reduction | From | To |
|---|---|---|---|
| TBT4507 | 3.7 | AUTUMN 2020 | |
| TBT4508 | 3.7 | AUTUMN 2020 | |
| MATV4008 | 3.7 | AUTUMN 2020 |
No
Version: 1
Credits:
7.5 SP
Study level: Second degree level
Term no.: 1
Teaching semester: AUTUMN 2024
Language of instruction: English, Norwegian
Location: Trondheim
- Technological subjects
Department with academic responsibility
Department of Biotechnology and Food Science
Examination
Examination arrangement: Aggregate score
- Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
- Autumn ORD School exam 50/100 D INSPERA
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Room Building Number of candidates - Autumn ORD School exam 50/100 D INSPERA
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Room Building Number of candidates - Summer UTS School exam 50/100 D INSPERA
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Room Building Number of candidates - Summer UTS School exam 50/100 D INSPERA
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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.
For more information regarding registration for examination and examination procedures, see "Innsida - Exams"