Biopolymeric materials and Experimental design and data analysis, Specialization Course

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.

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.

Biopolymeric materials: Lectures and demonstrations.

Experimental design and data analysis: Lectures (24 h), exercises (8 h).