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Methods Courses

Applied Statistics in Molecular Biology with Dr Strauß

When: 19th to 23rd of February 2018, 5 full days (actually starting time TBC)

Where: in room N02.008 in the BMC

Course Content:

"Applied statistics in molecular biology" is a practical course designed to provide you with a smooth way in handling, visualising, and statistically testing data.                                                                                                                         It is run with real world data collected in the lab in the last years. The software we use is R and Rstudio, open source statistical programming language.                                                                                                                   Neither knowledge in statistics nor in R is required to follow the course, although it is very useful to have your own data in mind when thinking about statistics.
The purpose of the course is not to show you fancy high class statistics but to help you with everyday questions regarding the data you often collect.

GraphPad Prism, Introduction and Graph Creation

When: 10-12th April 2018, starting at 9:00am

Where: Room to be announced.

Course Content:

  • Data import
  • Descriptive statistical analysis
  • Creation and optimization of output
  • Mastery of the dialog system
  • New functions and procedures in GraphPad 7
  • Graphical features of Prism
  • Data visualization and export

Please note: All students are required to bring their own laptops and download the Tutorial Data Sets, Statistical Tutorials, and user guides from the Prism website.

 

Please contact the lsm@bio.lmu.de if you are interested in learning a specific method.

Please note: LSM students should participate in at least two methods courses during their doctoral study.

LSM students are encouraged to attend methods workshops in foreign labs. For this purpose they can apply for the reimbursement of travel expenses and participation fees. Participation should be organized by the student.

Cancellation policy:

Once you have registered for a course provided by the LSM, you will be held responsible to participate or you will be unable to attend any further workshop provided by the LSM and/or surrounding graduate programmes. Please give at least 24 hours notice to the LSM office before the course, should you be unable to attend, so that another student may take your place. Should you fall ill on the day of the course, a doctor’s note is necessary.

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    Previous Methods Courses

  • GMP course (2-6 and 9-13 Oct. 2018)
  • Statistical Literacy workshop, with Rick Scavetta (20-22 Sept. 2017)
  • Adobe Illustrator Workshop, with Dr. Andreas Binder (15 to 16 May 2017)
  • MatLab workshop, by Mathworks, with Trainer Dr. Yvonne Blum (3 to 5 May 2017)
  • Processing and Analysis of Scientific Images, Biovoxxel by Dr. Jan Brocher (16 to20 Jan. 2017)
  • Applied Statistics in Molecular biology by Dr. Axel Strauß (14 to 18 Nov. 2016)
  • Python Biobash Workshop (25 to 29 April 2016)
  • Adobe Illustrator (21/22 March 2016)
  • Comprehensive and Customized Image Processing and Analysis-BioVoxxel (2/3/4 December 2015)
  • Statistic R (12 to 16 October) extra day on 30 November.
  • Adobe Illustrator (14/15 January 2015)
  • Statistic R (October 29-5 November, 2014)
  • Applied Statistics for Molecular Biologists (November 14/15, 2013)
  • Adobe Illustrator (+Photoshop) course (July 29/30, 2013)
  • Adobe Illustrator (+Photoshop) course  (April, 18/19, 2013)

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