COURSE DESCRIPTION

The course aims to provide students with the skills and capabilities to undertake business research. Throughout the course, students will gain knowledge of the fundamental research concepts and methods applicable to their own research.

Detailed course description is available here.

COURSE LECTURER

Professor Silvia Golem, PhD

Lecturer CV and information is available here.

LEARNING OUTCOMES

• Develop an understanding of how a business research is carried out, to compare different research paradigms, examine strengths and weaknesses of competing approaches in the context of a student research project
• Identify different stages of the process of business research and understand the importance of ethical issues associated with the conduct of business research
• Compare different types of research approaches and asses their adequacy in relation to a specific research question
• Apply basic principles of critical literature review
• Develop and formulate clear and concise research questions
• Undertake an independent literature search using a range of methods, identify key words, evaluate the relevance, value and sufficiency of the literature found; use and reference the literature accurately in the context of the critical literature review
• Differentiate various types of data, measurement scales, and undertake an independent data search and collection of secondary data, and use tools to crate questionnairess

TARGET AUDIENCE

• Graduate students in economics (or in social sciences, technical sciences or science related fields) who intend to round out their knowledge in the field and use it in the proces of preparing dissertations.
• Holders of undergraduate degrees or students in the last year of ther studies in economics or the social sciences who wish to study the field of behavioural economics.
• Researchers and professionals working in the field.

CREDITS TRANSFERS (ECTS)

This FEBT Summer school program offers participants the possibility of going through evaluation process for the purspose of requesting official credit transfers (ECTS).

• Evaluation process

Participants who wish to acquire 6 ECTS will be evaluated based on the regular and active course attendance and taking two mid-term exams and writing a final paper assignment (the project task is individual or group work which implies selection of the suitable machine learning method for a particular problem, analysis and comparison of the results and selection of the optimal model).

CERTIFICATE OF ATTENDANCE

Participants not interested in credit transfer will instead receive the Certificate of Attendence, stating the course completed. These students will be neither evaluated nor graded.