Methods Courses

Introduction to Python with Nick del Grosso (4 days workshop)

When: 30.01-2.02.2023
Where: online

Statistics in R (5 half days workshop)

When: 20-24.02.2023
Where: Online

Intermediate Data Analysis in Python Workshop

When: 8-12-05.2023
Where: TBC

Affinity Designer with Dr. Andreas Binder

When: 3-4 August 2023
Where:LMU Biocenter

Sceintific Image Processing and Analysis (Basic/Advanced Workshop)

When: 7,8,9 Feb 2024 (basic) and 12,13 Feb 2024(advanced)

Sign up per email: lsm@bio.lmu.de

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 (5 days each) 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. Please give at least 48 hours working days´s notice to the LSM office before the course, should you be unable to attend, so that another student may take your place. If you fall ill on the day of the course, a doctor’s note is necessary.

Previous Methods Courses

• Affinity Designer with Andreas Binder (Vector Graphics Editor-Adobe Illustrator alternative) (28.04 - 29.04.22)
• Statistics in R ( 7-9 February and 14-5 February 2022)
• Python with Nick del Grosso (07.06. - 10.06.22)
• Statistics in R (28-29 January and 1-3 February)
• Affinity Designer with Andreas Binder (18-19 March)
• Processing and Analysis of Scientific Images/Advanced Image Analysis by Jan Brocher (7-9, 15-16 April)
• Python with Nick del Grosso (for beginners) (19-21, 27-28 May)
• Python with Nick del Grosso (Intermediate) (13-15, 21-22 October)

• Statistical Literacy by Rick Scavetta (25, 27, 30 Nov 2020)
• Processing and Analysis of Scientific Images/Advanced Image Analysis by Jan Brocher (22-24 April 2020 and 27-29 April 2020)
• Python with Nick del Grosso (24.01, 31.01, 14.02, 20.02, 21.02.2020)
• Statistics R with Axel Strauß (16-20 September 2019)
• Adobe Illustrator with Andreas Binder (18-19 July; 26-27 September 2019)
• Bioinformatics (Linux, NGS data analysis and RNA-seq Data Analysis) with ECSEQ (2-5 April 2019)
• GraphPad Prism with Statcon (10-12 April 2018)
• Statistic R course, with Axel Strauß (19-23 Feb)
  

• GMP course (2-6 and 9-13 Oct. 2017)
• 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)