Research Methodology and Statistics

Structure Type: Course
Code: TIP0607
Type: Compulsory
Level: Bachelor
Credits: 3.0 points
Responsible Teacher: Ranta, Mikko
Teacher Team: Ranta, Mikko ; Sabel, Thomas
Language of Instruction: English

Course Implementations, Planned Year of Study and Semester

Curriculum  Semester  Credits  Start of Semester  End of Semester
IB-2015   2 spring   3.0        
IB-2016   2 spring   3.0        
IB-2017   2 spring   3.0        

Learning Outcomes

The student is able to find statistical data and interpret statistical figures. The student is able to analyze statistical data with different statistics. The student knows the basics of correlation and regression analysis. The student can critically analyze the results acquired from the research. The student is able to use Excel software for statistical analysis.

Student's Workload

Total work load of the course: 81 h
- of which scheduled studies: 40 h
- of which autonomous studies: 41 h
The assesment of student's own learning 1 h is included in contact lessons.

Prerequisites / Recommended Optional Courses

No prequisities.

Contents

Basic terms, statistical charts, parameter estimation, linear regression, dependence analysis, correlation. Excel in statistical research.

Recommended or Required Reading

Lecture notes

Mode of Delivery / Planned Learning Activities and Teaching Methods

Lectures and exercises, final exam

Assessment Criteria

1 = The student has a basic understanding of theory and is able to solve basic exercises.
3 = The student understands the theory of statistics and is able to solve more difficult exercises by using the theory.
5= The student is able to apply the theory of statistics and develope own models for solving exercises.

Assessment Methods

Final exam (70%) and exercises (30%). Numerical 1-5.

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