Anticipating future trends (5 cr)
Code: LA00BF27-3010
General information
Enrollment
04.05.2020 - 15.09.2020
Timing
01.08.2020 - 31.12.2020
Number of ECTS credits allocated
5 op
Virtual portion
4 op
Mode of delivery
20 % Contact teaching, 80 % Distance learning
Unit
Faculty of Business and Hospitality Management (LAB)
Campus
Lahti Campus
Teaching languages
- English
Seats
20 - 40
Degree programmes
- Bachelor's Degree Programme in Business Information Technology
- Studies for incoming exchange students
Teachers
- Tarja Keski-Mattinen
- Aki Vainio
Groups
-
04BIT18SDegree Programme in Business Information Technology 18S, Lahti
-
LLTIEX20S2
Learning outcomes
The student is able to
- anticipate the changes in their own operational environment
- utilise the futures research materials produced by national and international societies in their own field of studies
- use the terminology and methods of futures research in the research and development of their own field
Implementation and methods of teaching
Note: Due to the current situation, the autumn 2020 version will be held remotely in it's entirety.
Recommended contact lessons, independent individual and group work.
Timing and attendance
Fall of 2020, recommended contact lessons.
Learning material and recommended literature
The Moodle learning platform & materials provided by the lecturer.
Alternative completion methods
No alternative ways of completion
Working life cooperation
Students can bring their own study subjects from their work, thesis or internship.
Exam retakes
No exams.
Learning environment
The Moodle learning platform, recommended classroom workshops and lecturers. Optional group work.
Student time use and work load
A student's estimated workload is 5 x 27 hours.
Contents
This course provides students with skills to:
- Anticipate the changes in their own operational environment
- Utilize the futures professional material produced by national and international communities in their own field of studies
- Use the terminology and methods of future research.
Additional information for students: previous knowledge etc.
The student should be adequately advanced in their own field of study.
Assessment criteria
Based on one individual and one group assignment.
Assessment scale
Approved/Failed
Failed (0)
The student did not meet the course learning objectives.
Assessment criteria: assessment scale failed/approved
The student shows an understanding of the role of future research methods and can apply them.
Assessment criteria: level 1 (assessment scale 1–5)
The student knows the basic concepts and tools for future research.
The student can use environment analyses and forecasting tools.
Assessment criteria: level 3 (assessment scale 1–5)
The student demonstrates a good knowledge of the basic concepts and tools of future research and tools to observe the future of IT development.
The student can use environment analyses and forecasting.
Assessment criteria: level 5 (assessment scale 1–5)
The student demonstrates a very good knowledge of the basic concepts and tools of future research and tools to observe the future of IT development and applying it to other fields. The student can use well environmental analyses and forecasting tools.