WWB-Area | Learning field

Work and management techniques | (Self-)Management in science

Starting Point

Your workdays are getting longer and longer – but your to-do list isn't getting any shorter. You work a lot and feel productive - but there never seems to be time for your own research and projects. Does this sound familiar?

Now please imagine that things could be different: That you could manage your time in a way that allows you to make progress with all your projects – and that at the same time you could have leisure time that you actually really use to relax, without feeling guilty.

Aim

In order to improve your time and self management you will learn:

• to classify and prioritize tasks,
• to know what needs to be done and when do to it; and which tasks can be delegated,
• how to succeed in having enough time for your own (research) projects as well as actual free time.

Content

Contents of this training are:

• Strategic weekly planning, taking into account your individual most productive working hours
• Goal and priority setting
• Different time management tools

Methods

Input, exchange of experiences and discussion, reflection and practical exercises.Max. number of participants: 15.

Notes

Student workers are welcome, subject to availability. 

For registration, please fill in the provided form. In case of any questions regarding the course, please contact Team WWB.

In case of any organizational questions please contact wwb@zewk.tu-berlin.de.

Your binding participation is very important to us. On the one hand, our courses are connected with high costs. On the other hand, we plan much group work and work interactively with you. Hence, should you be unable to attend the entire course or should you be prevented from attending the course at all, please let us know as soon as possible so that we can allocate the place to other interested persons. In the event of multiple unexcused absence, we reserve the right to exclude you from further ZEWK courses.

Please help us to develop our program in a targeted manner. Your data will not be disclosed to third parties.

Im Rahmen der Berlin University Alliance ist unser Programm für die Nachwuchswissenschaftler*innen der HU Berlin, FU Berlin und Charité geöffnet.