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Introduction to Time Management

Target group

Doctoral candidates.

 

Content

To finish your Doctoral thesis successfully, one of the most important skills you need – next to subject related expertise – is the ability to realistically plan and organize your research in the long term – and to effectively structure every single workday. This seminar gives you space to reconsider your existing behavior and to learn about well-proven powerful techniques.

You will learn about fundamental requirements for good time management during your dissertation project:

  • Setting smart goals
  • Making decisions and developing initiative
  • Gaining and re-gaining motivation along the journey


Also, you will become familiar with strategies for efficient and effective use of time

  • Time planning and your dissertation: long term planning with your master plan, weekly and daily planning
  • Setting priorities (Eisenhower Method, Pareto Principle)
  • Finding your balance: research project – job – private life
  • Getting rid of time-killers
  • Using high concentration techniques (silent hour, Pomodoro Technique)
  • Controlling your inner state through relaxation techniques

 

Objectives

  • You know how to use powerful time planning methods on three horizons
  • You know how to balance professional and private life
  • You know how to control your inner state using concentration and relaxation techniques
  • You can exchange experiences with other participants

 

Methods

Trainer input; individual, partner, and group work; written and creative focusing exercises; relaxation exercises; guided and free sequences in which participants can develop images; brief presentations by participants; group reflection.

 

Trainer

Dr. Matthias Mayer, www.mmsc.de

Workload

15 h

Date

Wed, 15.05.2024, 09:00–17:00 h

Thu, 16.05.2024, 09:00–17:00 h

Registration

Please register via the campus management portal HISinOne.

Location

Seminar Room of the Freiburg Research Services (FRS),
Friedrichstr. 41-43, 2nd floor 

Max. Number of Participants

13 doctoral candidates