Types of Futures KnowledgeLaajuus (1 cr)
Code: NN00FQ19
Credits
1 op
Objectives
During this online course, you will study the basic types of futures knowledge.
Enrolment period
01.08.2023 - 31.07.2024
Timing
01.08.2023 - 31.08.2024
Credits
1 op
Virtual portion
1 op
Mode of delivery
Online learning
Unit
HUBS
Teaching languages
- English
Seats
10 - 100
Degree programmes
- Cross-study in the Tampere Universities Community
Teachers
- Mika Boedeker
- Mika Boedeker
Person in charge
Sanna Tahlo
Groups
-
23CAMPUSONLINECAMPUSONLINE
-
24CAMPUSONLINECAMPUSONLINE
-
VAPAA
Objectives (course unit)
During this online course, you will study the basic types of futures knowledge.
Location and time
1.8.23-31.8.24
Moodle
Exam schedules
No spesific dates. The course needs to be completed on 31.8.2024 at the latest.
Assessment methods and criteria
Evaluation is based on completing the exam presented in the course Moodle.
The course needs to be completed on 31.8.2024 at the latest.
Assessment scale
Pass/Fail
Teaching methods
This course is done completely online and independently, and you can complete it at your own pace, at a time that suits you. The course needs to be completed on 31.8.2024 at the latest.
See enrollment and Moodle instructions at HUBS
https://hubs.fi/en/studies/study-calendar/types-of-futures-knowledge/
Learning materials
On-line material to be announced in the course Moodle.
Student workload
27 hours of independent work.
Completion alternatives
No alternative ways.
International connections
The whole course is done in english. Course material is in english.
Further information
During this online course, you will study the basic types of futures knowledge.
The course is an independent part of three online futures studies courses. However, if you are not familiar with the basics of future studies, it is recommended that you complete the NN00FQ17 first.
• NN00FQ17 Introduction to Futures Studies and Foresight, 1 cr
• NN00FQ19 Types of Futures Knowledge, 1 cr
• NN00FQ20 Futures Studies and Foresight Methods, 1 cr
Assessment criteria - pass/fail (Not in use, Look at the Assessment criteria above)
Pass: The student reaches the required level in the exam specified in the course Moodle.
Fail: The student doesn't reach the required level of the exam specified in the course Moodle.
Enrolment period
01.03.2022 - 31.07.2023
Timing
01.03.2022 - 31.08.2023
Credits
1 op
Virtual portion
1 op
Mode of delivery
Online learning
Unit
Business and Media
Campus
TAMK Main Campus
Teaching languages
- English
Seats
1 - 100
Teachers
- Mika Boedeker
Person in charge
Mika Boedeker
Groups
-
VAPAA
Objectives (course unit)
During this online course, you will study the basic types of futures knowledge.
Location and time
1.3.22-31.8.23
Moodle
Exam schedules
No spesific dates. The course needs to be completed on 31.8.2023 at the latest.
Assessment methods and criteria
Evaluation is based on completing the exam presented in the course Moodle.
The course needs to be completed on 31.8.2023 at the latest.
Assessment scale
Pass/Fail
Teaching methods
This course is done completely online and independently, and you can complete it at your own pace, at a time that suits you. The course needs to be completed on 31.8.2023 at the latest.
See enrollment and Moodle instructions at HUBS
https://hubs.fi/en/studies/study-calendar/types-of-futures-knowledge/
Learning materials
On-line material to be announced in the course Moodle.
Student workload
27 hours of independent work.
Completion alternatives
No alternative ways.
International connections
The whole course is done in english. Course material is in english.
Further information
During this online course, you will study the basic types of futures knowledge.
The course is an independent part of three online futures studies courses. However, if you are not familiar with the basics of future studies, it is recommended that you complete the NN00FQ17 first.
• NN00FQ17 Introduction to Futures Studies and Foresight, 1 cr
• NN00FQ19 Types of Futures Knowledge, 1 cr
• NN00FQ20 Futures Studies and Foresight Methods, 1 cr
Assessment criteria - pass/fail (Not in use, Look at the Assessment criteria above)
Pass: The student reaches the required level in the exam specified in the course Moodle.
Fail: The student doesn't reach the required level of the exam specified in the course Moodle.