Syllabus database for doctoral courses

    Startpage
  • Syllabus database for doctoral courses

SYLLABI FOR DOCTORAL COURSES

Print
Swedish title Sommarskola i Big Data inom sjukvården
English title Summer School in Big Data in Healthcare
Course number 3171
Credits 1.5
Responsible KI department Institutionen för cell- och molekylärbiologi
Specific entry requirements
Grading Passed /Not passed
Established by The Committee for Doctoral Education
Established 2019-02-11
Purpose of the course To increase the understanding of Big Data in Life sciences, the impact of Big Data in research, the specific opportunities and the tools and technologies applied as well as challenges including ethical aspects.
Intended learning outcomes Upon completion of the course, the doctoral students can describe important concepts in Big Data in genomics, relate them to the application of Big Data in Life Sciences, and critically evaluate important methods and technologies employed in Big Data.
Contents of the course Central concepts of Big Data in genomics.
Technological advances that transform the way that genetic data is generated, analysed and presented.
How advances in Big Data lead to effective approaches to identify clinically actionable genetic variants for individualized diagnosis and treatment.
Important methods and technologies used in Big Data.
Challenges remaining.
Teaching and learning activities The teaching and learning activities consist of seminars, laboratory visits, student projects and networking opportunities.
Compulsory elements The seminars and discussions and the research development workshop are compulsory. Compensation is according to the instructions of the course director.
Examination The learning outcomes will be examined individually with active participation in the discussions and the research development workshop.
Literature and other teaching material Recent articles in the field.
Course responsible Matti Nikkola
Institutionen för cell- och molekylärbiologi


Matti.Nikkola@ki.se
Contact person