Skip to main content

Collaborative problem solving in multidisciplinary networks  (5 cr)

Code: BIP7042-3005

General information


Enrollment

01.10.2023 - 31.03.2024

Timing

15.02.2024 - 30.05.2024

Number of ECTS credits allocated

5 op

Mode of delivery

Contact teaching

Campus

Wärtsilä Campus Karjalankatu 3

Teaching languages

  • English

Seats

10 - 30

Degree programmes

  • Degree Programme in Energy and Environmental Engineering

Teachers

  • Kaija Saramäki

Teacher in charge

Kaija Saramäki

Groups

  • TOP23_24
    Other Complimentary Studies Group Semester 2023-2024

Objective

After the course the student will be able to utilise multidisciplinary expert networks, creative thinking and different technologies for solving problems related to forest bioeconomy. The student will understand the complexity of forest bioeconomy and its effect on, for example, well-being, tourism, legislation, education and regional economy. The student knows the basic concepts and principles of forest bioeconomy.

Content

During the course, multidisciplinary teams will define an actual, current forest bioeconomy related problem and design a solution (product, process, service, procedure, etc.)for it together with forest bioeconomy experts from working life. Multidisciplinary problem solving and developmental ways of working will be trained. Experts, research knowledge and different technologies are utilised for designing the solution.

The solutions will be shared on the online platform. Technology that enhances interaction and place and time independence will be utlised and supported during the course.

Materials

WIll be made available in an online platform.

Teaching methods

The course is suitable for students from any discipline and teams will be formed as multidisciplinary teams consisting of students from different universities and countries. The focus is on wellbeing in the context of forest bioeconomy. In the previous implementations, the students have been for example from teacher education, IT engineering, forestry, biology, business, law and administration and environmental sciences.

Our working life partners will present problems and cases from their operations and the student teams will design a solution (product, process, service, procedure, etc.) for it together with forest bioeconomy experts from working life. Multidisciplinary problem solving and developmental ways of working will be trained. Experts, research knowledge and different technologies are utilised for designing the solution.

The course work in teams and with our working life partners will increase your transversal skills, the so called 21st century skills.

The solutions will be shared on the online platform. Technology that enhances interaction and place and time independence will be utilised and supported during the course.

Employer connections

The teams will work closely with the working life partners, which are companies, public bodies and associations.

Student workload

Independent work and familiarising with the electronic material 35h

Online groupwork 100 h (of which max 10h facilitated by lecturers online)

Content scheduling

The course starts with a preliminary task in April 2024. Choosing the team task, design and output methods are agreed within the teams. The work will be conducted online via internet and lecturers and experts are available online during separately assigned times. The course ends by 30.5.2024. The course has a few fixed times for participation and in addition to this, the student teams will agree on their own schedule.

Further information

The course is implemented jointly by Karelia UAS and University of Eastern Finland.

Evaluation scale

H-5

Assessment methods and criteria

1-5. The evaluation of the course is based on the approved completion of the course assignments, peer and expert evaluation of the digitally presented solution and participation in joint online meetings. The solution will be assessed based on:

* the definition of the problem
* novelty of the solution
* suitability of the solution to the defined problem
* justification of the solution based on research knowledge
* presentation of the solution