Basic Statistics and Graphics for Biomolecular Strategies
Arts and Society, Cross-Disciplinary Strategies
2019S, Lecture and Discussion (VOD), 1.0 semester hours, course number S02623
The Basic Statistics and Graphics for Biomolecular Strategies course of Tanja Gesell and Elin Axelsson-Ekker will impart knowledge of statistical thinking, and fundamentals of data exploration and analysis as well as data visualisations. Additionally, students will learn the basics of a programming language relevant for statistics, the R language. Along with this line, the course will provide a comprehensive introduction on how to plot data with R’s default graphics system, base graphics. R is one of the most widely used statistical languages in Data Science across a wide variety of disciplines.
After the first part of this course, students should have general statistical skills, which they can apply, in different fields. In the second part of the course, they will learn and apply special skills and programs that are necessary for a project for Biomolecular Strategies. We will include the students in the analysis, based on their current knowledge, skills, and preferences.
The grade will depend the contributions to the discussions and exercises during the semester (50%) and the project work (50%). Attendance at the lecture is not mandatory but recommended.
Students from other faculties or universities will be given a place on the course subject to room capacities.
22 March 2019, 12:45–16:15 Cross-Disciplinary Strategies - Lecture Room
29 March 2019, 12:45–16:15 Cross-Disciplinary Strategies - Lecture Room
12 April 2019, 10:15–13:30 Cross-Disciplinary Strategies - Lecture Room
14 May 2019, 16:00–19:30 Cross-Disciplinary Strategies - Lecture Room
17 May 2019, 12:45–16:15 Cross-Disciplinary Strategies - Lecture Room
24 May 2019, 12:45–16:15 Cross-Disciplinary Strategies - Lecture Room
07 June 2019, 12:45–18:00 Cross-Disciplinary Strategies - Lecture Room
Via online registration
Curriculum Allocation and ECTS
co-registration: possible (2.0 ECTS)
Individual courses: possible (2.0 ECTS)