Aim
The course aim is to prepare the student for studies in the later parts of the programmes.

Knowledge and understanding
For a passing grade the student must

• be able to steup basic chemical engineering models using material and energy balances.

Skills and abilities
For a passing grade the student must

• be able to soleve models in chemical enginnering using numerical methods

Contents
Basic chemical engineering: Material balances. Energy balances. Balances on transient processes.
Computional methods: Matlab. Numerical methods for linear equation systems, non-linear equation, integrals, non-linear equation systems and differential equations.
Statistics: The basis in probability theory and inference, confidence intervals, statistical methods such as design of experiments and regression analysis.
Statistic applications: measurement value analysis, different types of errors and their propagation; comparisons of means and variations; concepts and methods for quality control, estimations of proportions; regression analysis, calibration; factorial designs, optimisation of experimental parameters, response surfaces. Applications in chemical and biotechnical engineering are of particular interest

Literature
Grimsberg, M: Grundläggande Kemiteknik. KFS 2007.
Grimsberg, M: Börja med Matlab. KFS 2005.
Olbjer, L: Experimentell och industriell statistik.1999.