Learning outcomes

To give the students a working knowledge of questionnaire design, data entry, handling of bias in the process of data management and presentation of cross-sectional data sets in tables and graphs.

Contents

• Questionnaire design
• Data collection
• Data entry and cleaning
• Software for data analysis
• Presentation of data in tables and graphs
• Reporting the results
• Quality control in data collection and management

Further information on prerequisites and recommendations

Attendance is open for all university of Tampere students but limited to 24 students. If more students wish to take the course, preference is given to degree students in health sciences and others will be accepted in the order of registration. the course will be cancelled if less than 8 students register to participate in it.

Teaching methods

Teaching method	Contact	Online
Seminar	13 h	0 h
Exercises	107 h	0 h

Teaching language

English

Evaluation and evaluation criteria

Pass/fail.
Active participation in seminars, completion of the practical assignment.

Recommended year of study

1. year spring

Belongs to following study modules