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Anticipating future trendsLaajuus (5 cr)

Code: LA00BF27

Credits

5 op

Teaching language

  • English

Objective

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

Enrollment

02.05.2022 - 21.08.2022

Timing

12.09.2022 - 18.12.2022

Number of ECTS credits allocated

5 op

Virtual portion

3 op

RDI portion

3 op

Mode of delivery

40 % Contact teaching, 60 % 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
Teachers
  • Tarja Keski-Mattinen
  • Aki Vainio
Scheduling groups
  • Luennot (Size: 0. Open UAS: 0.)
Groups
  • 04BIT20K
    Bachelor's Degree Programme in Business Information Technology 20K, Lahti
Small groups
  • Lectures

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

Recommended contact lessons, independent individual and group work.

Timing and attendance

Fall of 2022, 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

Assessment criteria: assessment scale failed/approved

The student shows an understanding of the role of future research methods and can apply them.

Enrollment

01.07.2022 - 04.09.2022

Timing

15.08.2022 - 25.09.2022

Number of ECTS credits allocated

5 op

Mode of delivery

Contact teaching

Unit

Faculty of Health Care and Social Services (LAB)

Campus

Lahti Campus

Teaching languages
  • English
Seats

0 - 60

Degree programmes
  • Bachelor's Degree Programme in Nursing
Teachers
  • Juha Roslakka
  • Hannele Tiittanen
Scheduling groups
  • Verkkoluento 1 (Size: 0. Open UAS: 0.)
Groups
  • HLPREX22S
  • HLPRNURSE20S
  • NURS19
    Bachelor's Degree Programme in Nursing 19S, Lappeenranta
  • HLTINURSE20S
  • HLTIEX22S
  • 08FYS20KM
Small groups
  • Virtual teaching 1

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

Assessment scale

1-5

Failed (0)

The future foresight methods used in the report and the results are not fully described. The referencing does not follow the LAB thesis guidelines.

Assessment criteria: level 1 (assessment scale 1–5)

Argumentation is fragmentary. The future foresight methods have been utilized in a random manner. The scenarios created in the report have been justified quite inadequately. The referencing follows the LAB thesis guidelines. The number of references is limited or the references are outdated

Assessment criteria: level 3 (assessment scale 1–5)

Argumentation is clear and coherent. The future foresight methods have been utilized in a quite versatile manner. The scenarios created in the report have been justified by using relevant literature and other source material. The scenarios reflect a theoretical understanding of future foresight methods.

The referencing follows the LAB thesis guidelines. The number of references is adequate, the references are up-to-date.

Assessment criteria: level 5 (assessment scale 1–5)

Argumentation is clear and coherent. The future foresight methods have been utilized in a very versatile manner. The scenarios created in the report have been justified by using relevant literature and other source material. The scenarios reflect critical reasoning and a profound theoretical understanding of future foresight methods.

The referencing follows the LAB thesis guidelines. The number of references is adequate, the references are up-to-date, including a variety of future foresight material.

Enrollment

19.11.2021 - 09.01.2022

Timing

19.01.2022 - 13.04.2022

Number of ECTS credits allocated

5 op

Virtual portion

1 op

RDI portion

1 op

Mode of delivery

80 % Contact teaching, 20 % Distance learning

Unit

Faculty of Business and Hospitality Management (LAB)

Campus

Lahti Campus

Teaching languages
  • English
Seats

0 - 35

Degree programmes
  • Bachelor's Degree Programme in International Business
Teachers
  • Marja Viljanen
Scheduling groups
  • Luennot (Size: 0. Open UAS: 0.)
Groups
  • LLTIIB21K
Small groups
  • Lectures

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

Contact lectures
Individual reading tasks
Individual and group assignments

Timing and attendance

According to the course timetable
Compulsory attendance in the first contact lecture.
Compulsory attendance in the workshops.
Compulsory attendance in the final presentation lecture.
Activeness during the contact sessions will affect the final grade positively.

Learning material and recommended literature

The Moodle learning platform &
materials provided by the lecturer.

Alternative completion methods

There are no substitute work.

Learning environment

The Moodle learning platform
Classroom workshops and lecturers

Student time use and work load

A student's estimated workload is 5 x 27 hours
consisting of:
- Contact lecturess
- Individual reading tasks
- Different individual and group course assignments.
Estimated workload is the following:
- Contact lessons: 24 hrs
- Reading and preparation: 20-25 hrs
- Individual and group assignments: 40-45 hrs
- Final group assignment: 40-45 hrs

Contents

This course provides students with skills to:
- Anticipate the changes in their own operational environment
- Utilize the futures research materials in their own field of studies
- Use the terminology and methods of future research.

Assessment criteria

Active class attendance
Smaller lecture assignments
Final group assignment
Evaluation: 1-5.

Assessment scale

1-5

Failed (0)

The student did not meet the course learning objectives.

Assessment criteria: level 1 (assessment scale 1–5)

The student knows the basic concepts and tools of future research.
The student is able to partly use the environment analyses and forecasting tools.

Assessment criteria: level 3 (assessment scale 1–5)

The student demonstrates good knowledge of the basic concepts and tools of future research.
The student is able to use the environment analyses and forecasting tools

Assessment criteria: level 5 (assessment scale 1–5)

The student demonstrates very good knowledge of the basic concepts and tools of future research.
The student is able to use well the environment analyses and forecasting tools.