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Techniques and Data Analysis in Biophysics 2

Module PH2257

This module handbook serves to describe contents, learning outcome, methods and examination type as well as linking to current dates for courses and module examination in the respective sections.

Module version of WS 2017/8

There are historic module descriptions of this module. A module description is valid until replaced by a newer one.

available module versions
SS 2019WS 2017/8

Basic Information

PH2257 is a semester module in German or English language at Master’s level which is offered in winter semester.

This Module is included in the following catalogues within the study programs in physics.

  • Specific catalogue of special courses for Biophysics
  • Complementary catalogue of special courses for condensed matter physics
  • Complementary catalogue of special courses for nuclear, particle, and astrophysics
  • Complementary catalogue of special courses for Applied and Engineering Physics

If not stated otherwise for export to a non-physics program the student workload is given in the following table.

Total workloadContact hoursCredits (ECTS)
150 h 30 h 5 CP

Responsible coordinator of the module PH2257 in the version of WS 2017/8 was Friedrich Simmel.

Content, Learning Outcome and Preconditions

Content

  • Thermal Forces and diffusion in theory and practice
    Grundlagen, praktische Nutzung, Thermophorese Basics, applications, thermophoresis
  • Dynamic light scattering
    Basics of light scattering and instrumentation, data analysis
  • Flow cell cytometry
    Basics and data analysis
  • Basics of Bayesian statistics

Learning Outcome

Upon successful completion of the module, the students

  • are able to understand thermal forces and diffusion in biological systems and judge the success of experiments by applying basic equations.
  • are able to understand the functioning of light scattering and to scientifically evaluate the obtained data.
  • can explain the basics of flow cytometry and can evaluate concrete experimental data.
  • can understand the basics of Bayesian statistics and are able to apply it to simple problems.

Preconditions

No preconditions in addition to the requirements for the Master’s program in Physics.

Courses, Learning and Teaching Methods and Literature

Courses and Schedule

TypeSWSTitleLecturer(s)Dates
VO 2 Techniques and Data Analysis in Biophysics 2 Simmel, F.
Assistants: Pirzer, T.
Fri, 11:00–13:00, ZNN 2.003

Learning and Teaching Methods

The topics of the lecture are presented by oral, power point and blackboard presentation.

The students should independently work on relevant examples from up-to-date research. These will be discussed scientifically with other examples in the lecture. Here, the students should utilize the learning content of the lecture to analyse  and to scientifically evaluate these examples.

In parallel the students should work with text books which can be accompanied by the study of scientific publications.

Media

Lecture notes, additional literature, the lecture notes are provided through Moodle

Literature

Cell Biology by the Numbers, R. Milo, R. Phillips and N. Orme.

A Primer on Bayesian Interference for Biophysical Systems, Biophysical Journal, Keegan E. Hines.

Module Exam

Description of exams and course work

There will be an oral exam of 25 minutes duration. Therein the achievement of the competencies given in section learning outcome is tested exemplarily at least to the given cognition level using comprehension questions and sample calculations.

For example an assignment in the exam might be:

  • How is light scattering utilized in flow cell cytometry?
  • What is native electrophoresis?
  • Explain the basic principles of thermophoresis.
  • Explain the term "gating".

In the exam no learning aids are permitted.

Exam Repetition

The exam may be repeated at the end of the semester.

Current exam dates

Currently TUMonline lists the following exam dates. In addition to the general information above please refer to the current information given during the course.

Title
TimeLocationInfoRegistration
Prüfung zu Methoden und Datenanalyse in der Biophysik 2
Mo, 22.7.2019 Dummy-Termin. Wenden Sie sich zur individuellen Terminvereinbarung an die/den Prüfer(in). Anmeldung für Prüfungstermin vor So, 22.09.2019. // Dummy date. Contact examiner for individual appointment. Registration for exam date before Sun, 2019-09-22. bis 30.6.2019 (Abmeldung bis 21.7.2019)
Di, 24.9.2019 Dummy-Termin. Wenden Sie sich zur individuellen Terminvereinbarung an die/den Prüfer(in). Anmeldung für Prüfungstermin von Mo, 23.09.2019 bis Sa, 19.10.2019. // Dummy date. Contact examiner for individual appointment. Registration for exam date from Mon, 23.09.2019 till Sat, 19.10.2019. bis 23.9.2019
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