Fo U kurskatalog 1995--1996 - Medicinsk fakultet - Umeå universitet
Fo U kurskatalog 1995--1996 - Medicinsk fakultet - Umeå universitet Fo U kurskatalog 1995--1996 - Medicinsk fakultet - Umeå universitet
26BIOSTATISTICS, ADVANCED COURSE – LOGISTIC REGRESSION, 1.5 ECTSBiostatistik, fördjupningskurs – logistisk regression, 1,5 hpCourse directorHans StenlundTfn: 785 12 17E-mail: hans.stenlund@epiph.umu.seCourse administratorBirgitta ÅströmTfn: 090 – 785 12 06E-mail: birgitta.astrom@epiph.umu.seDepartmentDept of Public Health and Clinical Medicine,Epidemiology and Global HealthDate November 2013LanguageEnglishNumber of participants 20Form of teachingNet-based teachingTest of knowledgeHome exam.Course contentTheoretical and practical knowledge about logistic regression.DEADLINE: 2 nd of June, 2013
27ANALYSING DATA IN QUALITATIVE RESEARCH, PART 2, 3 ECTSAnalys av data i kvalitativ forskning, del 2, 3 hpCourse directorKjerstin DahlblomTfn: 785 29 28E-mail: kjerstin.dahlblom@epiph.umu.seCourse administratorBirgitta ÅströmTfn: 090 – 785 12 06E-mail: birgitta.astrom@epiph.umu.seDepartmentDept of Public Health and Clinical Medicine,Epidemiology and Global HealthDateStart 14 th of October, 2013. Online course.LanguageEnglishNumber of participants 15Form of teaching Lectures 20 hours (online)Seminars10 hours (online)Test of knowledgeHome exam.Course contentQualitative research is characterized by a wide range of approaches and methods of analysis. Thecourse covers basic concepts in qualitative analysis in the field of public health and providespractical application for different methods, especially thematic analysis.This course is a follow up of an introductory course on identifying, analyzing and reportingpatterns within data. The present course focuses on the writing process and how to presentqualitative research in writing. The open source software OpenCode will be introduced as a tool fordata management and analysis.The course is not dependent on specialized theory, and is most appropriate for researchers whoare in the beginning states of conducting qualitative research. Participants will have theopportunity to use their own data in the course, but it is not required as texts will be provided bycourse instructors.DEADLINE: 2 nd of June, 2013
- Page 1 and 2: FORSKARUTBILDNINGSKURSERVIDMEDICINS
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- Page 5 and 6: 5INTRODUKTIONSKURS TILL FORSKARSTUD
- Page 7 and 8: 7DEL 1INTRODUKTIONSKURS TILL FORSKA
- Page 9 and 10: 9PART 2INTRODUCTORY COURSE TO GRADU
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- Page 15 and 16: 15INTERVJUN SOM REDSKAP FÖR DATAIN
- Page 17 and 18: 17INSTÄLLD!KLINISK ARBETSFYSIOLOGI
- Page 19 and 20: 19FUNCTIONAL BRAIN IMAGING USING fM
- Page 21 and 22: 21GRUNDKURS I GOOD CLINICAL PRACTIC
- Page 23 and 24: 23CLIMATE CHANGE AND HEALTH, 3 ECTS
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- Page 31: 31KONTAKTPERSONER VID ÖVRIGA MEDIC
27ANALYSING DATA IN QUALITATIVE RESEARCH, PART 2, 3 ECTSAnalys av data i kvalitativ forskning, del 2, 3 hpCourse directorKjerstin DahlblomTfn: 785 29 28E-mail: kjerstin.dahlblom@epiph.umu.seCourse administratorBirgitta ÅströmTfn: 090 – 785 12 06E-mail: birgitta.astrom@epiph.umu.seDepartmentDept of Public Health and Clinical Medicine,Epidemiology and Global HealthDateStart 14 th of October, 2013. Online course.LanguageEnglishNumber of participants 15<strong>Fo</strong>rm of teaching Lectures 20 hours (online)Seminars10 hours (online)Test of knowledgeHome exam.Course contentQualitative research is characterized by a wide range of approaches and methods of analysis. Thecourse covers basic concepts in qualitative analysis in the field of public health and providespractical application for different methods, especially thematic analysis.This course is a follow up of an introductory course on identifying, analyzing and reportingpatterns within data. The present course focuses on the writing process and how to presentqualitative research in writing. The open source software OpenCode will be introduced as a tool fordata management and analysis.The course is not dependent on specialized theory, and is most appropriate for researchers whoare in the beginning states of conducting qualitative research. Participants will have theopportunity to use their own data in the course, but it is not required as texts will be provided bycourse instructors.DEADLINE: 2 nd of June, 2013
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