Course objectives
Teaching beyond the classical lectures incorporates a learning process based on the students’ involvement in hands on project handling, where students are asked to implement, in groups, specific applications, combining individual study with the ability to search and compile information within collaboration, in small groups. Teaching starts initially with lectures on the basic concepts to all students, then students ate divided into groups (with a small number of people). Each group is unsigned with the implementation of a specific bio-statistical problem.
The course aims to familiarize students with the mathematical background and how it can be implemented using python programming.
Learning Outcomes
After the successful completion of the course the student acquires the ability and knowledge:
– Introduced to the essential mathematical background used in statistical analysis
– Learn how to develop applications using computational tools to solve bio-statistical problems
– To work both in groups cooperatively
| Name | Capacity | |
|---|---|---|
| Boulougouris Georgios | Associate Professor | gbouloug@mbg.duth.gr |
