Study Guide

Learning outcomes

The students will be able to
- Understand the principles of qualitative research and data analysis
- Outline the different approaches of qualitative data analysis
- Understand the stages in the analytical process
- Code and categorize qualitative data
- Report results from analysis

Grading scale

Approved/Failed

Learning outcomes

The students will be able to
- Understand the principles of qualitative research and data analysis
- Outline the different approaches of qualitative data analysis
- Understand the stages in the analytical process
- Code and categorize qualitative data
- Report results from analysis

Teaching methods

Lectures, group exercises during instruction, individual assignments

Location and time

Instruction in Zoom:

Learning materials and recommended literature

Saldana, Johny, Patricia Leavy, and Natasha Beretvas (2011). Fundamentals of Qualitative Research. Oxford University Press.

Instructor’s slides handout

Co-operation with working life and/or RDI

Each student may select the case company/organization for the course assignment him/herself.

Important dates

30 Sept 2023, 08:30-16:30, Zoom/Teams
28 Oct 2023, 08.30 - 16.30, Zoom/Teams
25 Nov 2023, 08.30 - 16.30, Zoom/Teams

Forms of internationality

Instruction in English

Students workload

5 ects credits = 135 hours (1 credit = 27 hours of work)
Contact instruction
Reading the literature for the assignments
Collaboration with the case company/organization
Writing the assignments (notes, reports)

Content and scheduling

Objectives
The students will be able to
• Understand the principles of qualitative research and data analysis
• Outline the different approaches of qualitative data analysis
• Understand the stages in the analytical process
• Code and categorize qualitative data
• Report results from analysis

Description
The course helps to understand and conduct qualitative research. It increases capabilities to analyze qualitative data. It introduces the philosophical grounds of qualitative methodology and different qualitative methods. It helps in making methodological choices of and advancing the student’s own thesis project through individual assignments and group exercises. It helps the student to make methodological choices and apply qualitative methods of the student's own master thesis project.

Further information for students

It is compulsory to attend the contact instruction.

Grading scale

Approved/Failed

Evaluation methods and criteria

Participation in instruction, assignments

Evaluation criteria, approved/failed

Approval criteria: Obligatory assignments, participation in instruction

Learning outcomes

The students will be able to
- Understand the principles of qualitative research and data analysis
- Outline the different approaches of qualitative data analysis
- Understand the stages in the analytical process
- Code and categorize qualitative data
- Report results from analysis

Teaching methods

Lectures, group exercises during instruction, individual assignments

Location and time

Instruction in Zoom:

Learning materials and recommended literature

Saldana, Johny, Patricia Leavy, and Natasha Beretvas (2011). Fundamentals of Qualitative Research. Oxford University Press.

Instructor’s slides handout

Co-operation with working life and/or RDI

Each student may select the case company/organization for the course assignment him/herself.

Important dates

4th February 2023, 08.30 - 16.30
25th February 2023, 08.30 - 16.30
20th May 2023, 08.30 - 16.30

Students workload

5 ects credits = 135 hours (1 credit = 27 hours of work)
Contact instruction
Reading the literature for the assignments
Collaboration with the case company/organization
Writing the assignments (notes, reports)

Content and scheduling

Objectives
The students will be able to
• Understand the principles of qualitative research and data analysis
• Outline the different approaches of qualitative data analysis
• Understand the stages in the analytical process
• Code and categorize qualitative data
• Report results from analysis

Description
The course helps to understand and conduct qualitative research. It increases capabilities to analyze qualitative data. It introduces the philosophical grounds of qualitative methodology and different qualitative methods. It helps in making methodological choices of and advancing the student’s own thesis project through individual assignments and group exercises. It helps the student to make methodological choices and apply qualitative methods of the student's own master thesis project.

Further information for students

It is compulsory to attend the contact instruction. Accepting the invitation to the Canvas learning environment of the course is understood as student's expression to commitment to active participation in the course. The student is expected to inform the instructor if active participation in the course is hindered.

Grading scale

Approved/Failed

Evaluation methods and criteria

Participation in instruction, assignments

Evaluation criteria, approved/failed

Approval criteria: Obligatory assignments, participation in instruction

Learning outcomes

The students will be able to
- Understand the principles of qualitative research and data analysis
- Outline the different approaches of qualitative data analysis
- Understand the stages in the analytical process
- Code and categorize qualitative data
- Report results from analysis

Teaching methods

Lectures, group exercises during instruction, individual assignments

Location and time

Instruction in Zoom:
https://laurea.zoom.us/j/65816551536?pwd=ajQ4dlNWQzFnbmt1SjdSalpSTkxsdz09

Learning materials and recommended literature

Saldana, Johny, Patricia Leavy, and Natasha Beretvas (2011). Fundamentals of Qualitative Research. Oxford University Press.

Instructor’s slides handout

Co-operation with working life and/or RDI

Each student may select the case company/organization for the course assignment him/herself.

Important dates

17th September 2022, 08.30-16.30
22th October 2022, 08.30-16.30
26th November 2022, 08:30-16:30

Students workload

5 ects credits = 135 hours (1 credit = 27 hours of work)
Contact sessions
Reading the literature for the assignments
Collaboration with the case company/organization
Writing the assignments (notes, reports)

Content and scheduling

Objectives
The students will be able to
• Understand the principles of qualitative research and data analysis
• Outline the different approaches of qualitative data analysis
• Understand the stages in the analytical process
• Code and categorize qualitative data
• Report results from analysis

Description
The course helps to understand and conduct qualitative research. It increases capabilities to analyse qualitative data. It introduces the philosophical grounds of qualitative methodology and different qualitative methods. It helps in making methodological choices of and advancing the student’s own thesis project through individual assignments and group exercises. It includes individual coaching with the instructor concerning the methodology of student’s thesis.

Further information for students

It is compulsory to attend the contact sessions

Grading scale

Approved/Failed

Evaluation methods and criteria

Participation in instruction, assignments

Evaluation criteria, approved/failed

Approval criteria: Obligatory assignments, participation in instruction