HCCK03261U COG Empirical Methodologies 2
Master in Cognition and Communication 2015-Curriculum
The course falls in three parts. The first part is a set of workshops dedicated to data analysis. The second part is a couple of lectures on topics such as mixed methods and writing up of research projects. The third part is a series of project workshops where students work on their own research projects.
The data analysis cover both quantitative and qualitative data analysis. These workshops are placed in the beginning of the course to allow students to plan ahead: It is generally a very good idea to know what type of analysis you will be conducting before you collect any data, and in quantitative research it is not just a good idea - it is imperative.
The quantitative data analysis workshops introduce students to fundamental procedures in quantitative data analysis. This will include a tutorial in SPSS by way of a sample data set and walkthrough in Bryman (5th edition).
The qualitative data analysis workshop introduces students to general procedures of qualitative data analysis. This includes an introduction to coding procedures and thematic analysis by way of a sample data set from an interview project.
The workshops in the third part of the course will be structured around the various research projects conducted by the students.
Cognition and Communication 2015-Curriculum:
Module 3: Empirical Methodologies 2: HCCK03261E
- Category
- Hours
- Class Instruction
- 28
- Preparation
- 176,75
- Total
- 204,75
- Credit
- 7,5 ECTS
- Type of assessment
- OtherThe exam will be conducted in English
Criteria for exam assesment
Cognition and Communication, 2015-Curriculum:
Course information
- Language
- English
- Course code
- HCCK03261U
- Credit
- 7,5 ECTS
- Level
- Full Degree Master
- Duration
- 1 semester
- Placement
- Spring
- Schedule
- The schedule will be available from November 15, 2016
- Study board
- Study Board of Media, Cognition and Communication
Contracting department
- Department of Media, Cognition and Communication
Course responsibles
- Jens Borglind (5-7b738083785179867e3f7c863f757c)
Lecturers
Andreas Gregersen