MATLAB for Scientific Data Exploration
The goal of the MATLAB nanocourse is to instruct the use of MATLAB as tool for scientific data management and exploration, while enabling the deciphering and navigation of complex data structures that are often generated by MATLAB-based software packages. This is NOT a MATLAB programming course, although for data exploration some minimal coding skills will be established.
What will be covered
- Overview of MATLAB as a data exploration tool (user interface, documentation, applications).
- Navigation of regular data using matrices.
- Navigation of irregular data in dynamic structures.
- Design and implementation of data structures for irregular, complex information bases.
Beginner’s level familiarity with core elements of programming languages (loops, if-statements, functions). Applicants who are not familiar with these concepts are asked to work through these elements. The instructors recommend the following 3 – 4 hours youtube video block for self-study
- Course Coordinator: Gaudenz Danuser, Ph.D
- Course Coordinator: Andrew Jamieson, Ph.D
- Course Administration: Rebekah Craig
How to Apply
Applicants please submit a max 400 word statement of interest with their potential use case of MATLAB. In addition, they please provide some account of previous programming experience or an expression of commitment that they will for at least 6 hours review the material of an online programming course or book. Based on this information the instructors will select max 15 participants. Selected applicants must commit to participation in the entire course.
Notification of Acceptance: