NordBioMed network received 2017 funding from Erasmus+ Strategic Partnership programme for our project OERCompBiomed (Open Educational Resources in Computational Biomedicine). The project started September 1, 2017 and will end August 31, 2020. The major goals are to improve education in biomedicine by implementing novel courses in the form of open OERs (virtual courses). We will develop virtual courses that provide needed education and training in different aspects of the rapidly evolving field of biomedicine with focus on computational science and computational biomedicine (bioinformatics, bioimaging). Also, knowledge and tools in bioethics will be covered to help students to identify, analyze and discuss new and challenging bioethical issues connected to the evolving biomedicine field.
More to read:
http://ec.europa.eu/programmes/erasmus-plus/projects/eplus-project-details/#project/bc4e0bdb-aa64-4d5c-a7f2-26d68ec36647
Summer School 2016 – Current techniques in Drug Development – was a great succes with excellent lectures, inspiring discussions, expert mentors and enthusiastic students. The lectures were given by distinguished members of academia as well as by experts of private sector. One of the lectures was given by Vice-Chancellor of Karolinska Institutet Karin Dahlman-Wright. Karin wrote about her Seili experiences in her blog http://blog.ki.se/rektor/
UEF // Summer School will arrange a course about Machine Learning and Bioinformatics: Biomedical Data Science (5 ECTS) at Kuopio , Finland
The course will cover current topics related to bioinformatics challenges and machine learning applications in biomedicine. The specific topics are:
1) How to access and use genome-wide measurement data across disease. The course will briefly introduce basics of molecular biology and biomedicine and give a broad overview of the data produced by the latest measurement technologies.
2) How to model and identify candidate genes and pathways involved in disease pathogenesis.
3) Mathematical basis of dimensionality reduction, signal feature analysis and inference
The course consists of lectures and small group exercises given by national and international experts. In addition students will make a project plan in small teams during which they practice working in an interdisciplinary setting. This course is applicable to undergraduate and post-graduate students with biomedical or computational background.
Study material: Material distributed during the course.
Teaching methods and assessment: Lectures and exercises/problem-based tasks, independent work
Evaluation: Pass/Fail.
5 ects: Evaluation is based on an oral presentation+written project summary
2 ects: Evaluation is based on a learning diary and attending the first week program
Teachers/course directors: Merja Heinäniemi, Ville Hautamäki
More information and how to apply: http://summerschool.uef.fi/biomedical-data-science
SUMMER SCHOOL 2016
