Data on the course
353306S Information Literacy and Data Analysis, 5 ECTS cr  
Code 353306S  Validity 01.08.2019 -
Name Information Literacy and Data Analysis  Abbreviation Information Lit 
Scope 5 ECTS cr  
TypeAdvanced Studies Discipline 
TypeCourse   
  Grading1 - 5, pass, fail 
 
   
Unit Health Sciences 

Teachers
Name
Mimmi Tolvanen 

Description
ECTS Credits 

5 ECTS cr

 
Language of instruction 

Finnish

 
Timing 

1st year spring term, 4th period

 
Learning outcomes 

The student is familiar with the research process and with the characteristics of scientific information including an ability to obtain and process scientific information, and to report and apply the results especially in the health sciences.
The student knows the role of scientific publications, can use and evaluate information sources critically. The student will be able to search research articles using basic literature retrieval methods and to use bibliographic databases available at the Medical Faculty.
The student knows basic principles in publication process, research ethics and good scientific practice.
The student is familiar with the basic research studies. The student is familiar with requirements for high quality reporting of research findings. Further, the student is able to analyze data with basic statistical methods, use basic statistical significance tests and inference methods, and evaluate critically scientific research reports.

 
Contents 

Scientific information:
Principles of scientific research, ethics in research, research methods in the main disciplines (clinical medicine, epidemiology, biomedicine and health sciences).


Scientific communication:
Scientific journals, research articles, critical evaluation of research findings, ethics in scientific publication and bibliometrics.


Data analysis:
Aims and phases of statistical research, planning statistical research, obtaining data, variable distributions (frequencies, graphs and statistics), basics in statistical inference and methods (estimates, significance tests and confidence limits), basic methods in comparing groups and estimating associations between variables, specific methods applied in medical research. Critical reading of published research articles.

 
Mode of delivery 

Blended teaching

 
Learning activities and teaching methods 

Lectures, small group lessons, assignments and exam.

 
Target group 

Master students in health sciences

 
Recommended optional programme components 


352252S Methods of Statistical Analysis in Health Sciences

 
Recommended or required reading 

Material in lessons and small group lessons.

 
Assessment methods and criteria 

Regular and active participation in lectures, small group lessons, readiness tests and completion of practical projects and exams. 

Read more about assessment criteria at the University of Oulu webpage.

 

 
Grading 

1-5 / fail

 
Person responsible 

Mimmi Tolvanen

 


Current and future instruction
Functions Name Type ECTS cr Teacher Schedule
Registration
Information Literacy and Data Analysis  Course  Mimmi Tolvanen  15.08.20 -22.04.21

Future examinations
Functions Name Type ECTS cr Teacher Schedule
registration period has ended Information Literacy and Data Analysis  Exam  Mimmi Tolvanen 
07.08.20fri 12.00-15.00