Workload:
180 h
|
Module Number BIOINF3510 |
Module Title Biomedical Data Literacy |
Type of Module Elective Compulsory |
|---|---|---|
| ECTS | 6 | |
|
Work load - Contact time - Self study |
Workload:
180 h Class time:
60 h / 4 SWS Self study:
120 h |
|
| Duration | 1 Semester | |
| Frequency | In the winter semester | |
| Language of instruction | English | |
| Type of Exam | Written exam |
|
| Lecture type(s) | Lecture, Tutorial | |
| Content | Basics for the handling of biomedical research data. Introduction of other statistical data analysis (including statistical modeling, mixture models). The course provides insights into clustering methods and basics from testing theory. Further, we will discuss principle component analysis, time series analysis using autoregressive models, as well as some insights to differential equation based modeling. We will discuss image data analysis and basic methods for supervised learning. |
|
| Objectives | This course will provide you with essential skills to perform data science projects. You will be familiarized with the foundations to perform data-driven research. |
|
| Allocation of credits / grading |
Type of Class
Status
SWS
Credits
Type of Exam
Exam duration
Evaluation
Calculation
of Module (%) |
|
| Prerequisite for participation | There are no specific prerequisites. | |
| Lecturer / Other | Claassen, Nahnsen | |
| Literature | - |
|
| Last offered | unknown | |
| Planned for | Wintersemester 2024 | |
| Assigned Study Areas | BIOINFM2210, BIOINFM2510, MDZINFM3110 | |