Research and Development (5 cr)
Code: AL00CE27-3004
General information
Enrollment
20.11.2023 - 05.01.2024
Timing
08.01.2024 - 19.04.2024
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Unit
Faculty of Business and Hospitality Management (LAB)
Campus
Lappeenranta Campus
Teaching languages
- English
Seats
0 - 80
Degree programmes
- Bachelor's Degree Programme in Tourism and Hospitality Management
Teachers
- Tuuli Mirola
- Minna Ikävalko
Scheduling groups
- Luennot (Size: 0. Open UAS: 0.)
- Välitentti (Size: 0. Open UAS: 0.)
Groups
-
LLPRHOMA22SBachelor's Degree Programme in Tourism and Hospitality Management 22S Lappeenranta
Small groups
- Lecture
- Miderm exam
Learning outcomes
The student is able to
- obtain, utilise and assess R&D-related information and their sources critically
- follow the rules of ethical principles applied in all research activities
- use the most typical research and development methods of their own field
- write a scientific report and is familiar with the requirements for language and style and how to document the sources
Implementation and methods of teaching
Lectures on campus, assignments, independent studying and two midterm exams.
Timing and attendance
Lectures on week 2-15 according to timetable
Attending the first lecture is compulsory: course information and instructions are given.
1st midterm exam on week 8 according to the timetable
2nd midterm exam on week 16 according to the timetable
Learning material and recommended literature
Lecture material given by the teachers in Moodle.
Exam retakes
Re-exam dates announced at the beginning of the course.
Learning environment
Lectures and Moodle
Student time use and work load
5 cr = 135 hours of student work.
Lectures
Assignments
Independent studying
1st and 2nd midterm exams
Contents
Research path: research process and basic concepts.
Features of quantitative research. Nature of qualitative research method and its 'sub-methods', e.g. grounded theory, discourse analysis, and case-study. Collecting the empirical data. How to analyse the empirical data. Content of the research report.
Features of quantitative research. Basic statistical concepts. Sampling. Measurement. Descriptive analysis: transformations, tables, graphs. Numerical descriptive measures: measures of central tendency, variation and shape. Statistical relationships: linear correlation, cross tabs and chi-square test.
Additional information for students: previous knowledge etc.
First year studies completed or respective skills and knowledge
Assessment criteria
Two written midterm exams
Assessment scale
1-5
Failed (0)
Failing to reach level 1 according to the evaluation criteria
Assessment criteria: level 1 (assessment scale 1–5)
1 = Student understands the basic research concepts and the steps of a research process. Student recognises different research methods. Student understands how to collect theoretical and empirical research data. Student is able to use basic descriptive methods in analysing research data and read the respective research results.
Assessment criteria: level 3 (assessment scale 1–5)
3 = Student understands and is able to explain the basic research concepts, the steps of a research process and different ways to use research methods. Student is able to collect theoretical and empirical research data.Student is able to use analysis methods suitable for the research data and interpret the respective results. Student is able to write a research report.
Assessment criteria: level 5 (assessment scale 1–5)
5 = Student masters and is able to use of the basic research concepts fluently. Student is able to justify the selection of data collection method and collect suitable theoretical and empirical research data. Student is able to justify, use and apply different analysis methos in different research settings. Student masters the interpretation of the respective analysis results and is able to draw practical conclusions based on the results. Student is able to write a profound research report.