Making smart decisions proactively
DE
Self-study
Making smart decisions proactively

Making smart decisions proactively

MCI | The Entrepreneurial School®

FH-Prof. PD Dr. habil. Johannes Siebert

About

Duration 8 units
Unit 3 hours/unit
Licence CC BY-NC-ND 4.0
Participants 1479
Availability Unlimited
Start Date 1 January 2022
Costs € 0.00
Videos 8

Trailer for Making smart decisions proactively

Teaser | Smarte Entscheidungen machen richtig glücklich!

  • 987
  • 2m35s
  • 29
Content Thumbnail Image

This video is hosted by YouTube, clicking on it will send data to YouTube. The privacy policy of YouTube applies.

Start video

General Course Information

#lebenslangesLernen #smartEntscheiden #glücklicheresLeben #seideinesGlückesSchmied

#lifelonglearning #smartdecisionmaking #happierlife #bethe architectofyourownhappiness

Are you facing an important decision? Do you want to finally learn how to make smart decisions and recognize all your options for action? Start now to become the architect of your own happiness through proactive and smart decision-making!

In the spirit of lifelong learning, this course is aimed at all inquisitive individuals who want to learn more about decision theory and improve their decision-making skills. There will be a special focus on career decisions, such as “what career to pursue” or “what job to choose”.

If you are faced with an important decision, you can use this as your own ongoing example and ideally make an informed decision at the end of the course.

Your participation in the course will be confirmed with a certificate once you have completed all the lessons and associated exercises. And now we hope you enjoy the MOOC “Making smart decisions proactively”!

Content

Course Content


What can I expect from this course?

Decisions are the only way to actively influence what is important to you or your organisation.

Even if you do not make a conscious decision, you make a decision by remaining passive. You let things take their course.

It is therefore surprising that many people do not really look at how to systematically make good decisions. Current research shows that proactive, good decision-making can be trained and that it improves life satisfaction (more information at https://www.derstandard.at/story/2000131014107/wie-man-kluge-entscheidungen-trifft).

This MOOC will help you to systematically improve your decision-making skills! In 8 units you will learn simple but effective methods for making proactive and intelligent decisions in the future.

Previous Knowledge

What prior knowledge do I need to complete this course?

This MOOC is aimed at high school graduates, students and all those who plan to lead a happier and more self-determined life in the future through proactive decision-making. No special prior knowledge is required for this MOOC.


Course Procedure

How is the course structured?

The self-study course is divided into 8 content-based units, each centered around a 15 to 25-minute video. These interactive videos contain numerous brainteasers and thought-provoking questions. You also have the opportunity to practise the methods you have learned in self-study phases and apply them directly to an important upcoming decision.


Licence

 
Is the content of this MOOC licensed?

This work is licensed under CC BY-NC-ND 4.0 MCI/Siebert


FAQs



On Social Media

Course Instructor

FH-Prof. PD Dr. habil. Johannes Siebert
FH-Prof. PD Dr. habil. Johannes Siebert

FH-Prof. PD Dr. habil. Johannes Siebert

Johannes Siebert teaches Decision Sciences and Behavioral Economics at MCI | The Entrepreneurial School ® and is a private lecturer at the University of Bayreuth.

In his research, he investigates human and organizational decision-making behavior and develops methods for decision-makers, from individuals to large organizations, to make better-informed decisions. He publishes his research findings in leading journals. Together with Ralph Keeney (Duke University), he extends the classic nudging approach by empowering people to be their own decision architect. This TEDx-Talk  gives a good insight into the approach underlying this course.

Johannes Siebert has more than 15 years of experience in applied decision research. He has worked on and managed research and consulting projects for national and international clients from business, politics and society.  In the project KLUGentscheiden! project (www.klugentscheiden.org), he designs and evaluates decision training for school students and supports them in particular with one of their first career decisions: “Which educational path will I take after school? He also works on the board of the Alliance for Decision Education with leading researchers such as Nobel Prize winner Daniel Kahneman and Richard Thaler to promote decision-making skills among young people worldwide.

Would you like to find out more about Johannes Siebert? Click here: Homepage


In collaboration with Ralph L. Keeney, Ph.D (Duke University)

Ralph Keeney specializes in the development, application and dissemination of decision-making concepts and techniques that help policy makers, governments, businesses and individuals facing important decisions to structure their choices in a logical way to promote better decision making.

Dr. Keeney has made significant contributions to the fields of decision analysis, value-focused thinking and nudging. He applies principles of operations research, management science, and decision sciences to important and challenging decision problems. His work includes theoretical, methodological and procedural contributions to decision analysis, risk analysis and value-focused thinking and their applications. His work has been cited over 50,000 times and his books have sold over 300,000 copies worldwide.

Would you like to find out more about Ralph L. Keeney? Click here: Homepage

Login & Enrol Currently: 1479 Participants

Free for all € 0.00

Partners

MCI | The Entrepreneurial School®

MCI | The Entrepreneurial School®

Innsbruck

1901 Participants
2 Courses
Average rating
Partners

Rating

Making smart decisions proactively

5 stars
41
4 stars
1
3 stars
0
2 stars
0
1 stars
0