Modul CH0801, CH0807

Laboratory Course/Seminar in Measurement Technology, Data Interpretation and Simulation

Lecturer (assistant)
Duration5 SWS
TermWintersemester 2017/18
Position within curriculaSee TUMonline
DatesSee TUMonline

Admission information

See TUMonline
Note: Bachelor degree in Chemistry, Physics or a related discipline. The mandatory inscription and the allocation take place via TUMonline. An introduction is given on Monday, 16.10.2017, at 13:15 in the CIP pool of the Department of Chemistry; the course takes place on Mondays, 12:15 to 16:00, and Fridays, 13:15 to 17:00.

Objectives

At the end of the lab course, the students understand the practical and theoretical fundaments of computer-based data acquisition in Physical Chemistry; they are able to design and operate such experiments on their own. Furthermore they are able to evaluate, to analyze and to critically assess research data.

Description

In this lab course, the students are taught advanced measurement techniques in Physical Chemistry, as well as analysis and modeling of data.

Prerequisites

Previous knowledge of Analysis and Linear Algebra, foundations of Physical Chemistry and basic knowledge of Experimental Physics

Teaching and learning methods

Lab course that includes a thematic introduction into various measurement techniques, programming, interconnection of computer-based experiments, an introduction into the fundaments of scientific programming and associated simulation techniques. The content is elaborated in form of 10 thematic blocks. To this end, introductory seminars and subsequent practical training in groups are held during 10 weeks in two afternoon sessions. Homework is assigned each week, to be completed in between the sessions.

Examination

Grades are determined based on written/oral exams and the degree of active participation in the course.

Recommended literature

G.L. Squires, Practical Physics, Cambridge 2001, ISBN 978-0521779401 R. Pratap, Getting Started with MATLAB: A Quick Introduction for Scientists and Engineers, Oxford University Press 2010, ISBN 978-0199731244 W. Georgi und E. Metin, Einführung in LabVIEW, Hanser 2012, ISBN 978-3446423862

Links