Overview

moNITor - book workshops and modules at the NIT

At the NIT Northern Institute of Technology Management in Hamburg, talents from all over the world learn how to master management tasks responsibly. In ideal learning environments, they develop skills to shape digital change. They acquire these skills in our practice-oriented Technology Management program (M.A./MBA/Certificate) or in our innovative lifelong learning workshops.

moNITor is our new booking platform for our seminars and modules as well as for continuing education workshops. It is quite intuitive and makes it easier for you to manage your enrollment for upcoming events, update your personal data, redeem vouchers, and so much more!

Innovation Methods Session: Big Data

The Input Session "Big Data" is part of the module Innovation Methods.

Social media and the Internet of Things are major drivers in our data universe. They pave the way for new possibilities of automation, individualization and efficiency. Our digital footprints also lead us into sensitive areas such as profiling or the collection of dark data whose future analysis possibilities via artificial intelligence algorithms are hardly foreseeable. This makes a critical reflection with the topic necessary. This seminar also gives an insight into the basics of analysis techniques, so that a basic understanding is achieved. The understanding of the complexities behind the data also includes the consideration of processes and dependencies. Here, simulation can help to build models that create a better understanding.


CONTENT DETAILS
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  • Innovation Methods Session: Big Data
    Period: 18 January 2020 - 18 January 2020
    Attendance dates:
    • 18 January 2020

    Lecturer: Prof. Dr. Iris Lorscheid

Innovation Methods Session: Circular Economy & Frugal Innovation

The Input Sessions "Circular Economy & Frugal Innovation" are part of the module Innovation Methods. 

Driven by depleting resources and growing awareness for alternative economic models contrasting the current “take-make-waste” approach, the concept of Circular Economy (CE) presents an opportunity to combine environmental and social interests with the goal of economic growth. The course introduces the concepts of Circular Economy and Cradle to Cradle innovation and their relevance for the different disciplines in Technology and Innovation Management. 


CONTENT DETAILS
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  • Innovation Methods Session: Circular Economy & Frugal Innovation
    Period: 21 March 2020 - 22 March 2020
    Attendance dates:
    • 21 March 2020
    • 22 March 2020

    Lecturer: Prof. Dr. Cornelius Herstatt & Viktoria Drabe

Innovation Methods Session: Innovation Process

The Input Session "Innovation Process" is part of the module Innovation Methods. 

  • Know the basic activities and process steps along the phases of the innovation process
  • Know sources of resistance and obstacles in the innovation process and identify and apply appropriate methods to overcome them
  • Know important concepts and approaches from theory and gain an insight into empirical research work in this thematic field

CONTENT DETAILS
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  • Innovation Methods Session: Innovation Process
    Period: 27 March 2020 - 29 March 2020
    Lecturer: Dr. Michael Rosemann

Innovation Methods Session: Technology Foresight

The Input Session "Technology Foresight" is part of the module Innovation Methods. 

In today’s world of converging industries, accelerating innovation cycles, and globalized competition foresight becomes more and more important but at the same time more and more challenging to operate. In this class we will start with a rough picture of ongoing Business Model Innovations as indication of fundamental changes in traditional industries and as evidence for the necessity to run foresight. However, in many companies foresight is barely practiced. Against this background the core of the course is to introduce students to the “communication and process oriented approach” of running foresight - which has been successfully implemented in many companies. 


CONTENT DETAILS
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  • Innovation Methods Session: Technology Foresight
    Period: 19 January 2020 - 19 January 2020
    Lecturer: Prof. Dr. Hans Koller

Denke der IT-ler verstehen - Digital Survival Training

Was Sie schon immer über Programmierung wissen wollten und nie zu fragen gewagt haben! In zwei Tagen Intensiv-Training lernen Sie die Grundlagen des Programmierens und erhalten Einblicke in aktuelle Trends wie Machine Learning und Arti cial Intelligence. Verstehen Sie endlich, was in den Köpfen der IT-Spezialisten vorgeht, wenn sie von Server-Client-Interaktion und Co. sprechen. Vor allem aber machen Sie sich mit der Denkweise der digitalen Schöpfer vertraut! Lernen Sie disruptiv zu denken!

CONTENT DETAILS

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  • Denke der IT-ler verstehen - Digital Survival Training
    Period: 7 February 2020 - 8 February 2020
    Lecturer: Dr. Martin Burckhardt, Ludic Philosophy

WORKSHOP: KI IN DER UNTERNEHMERISCHEN PRAXIS

Der Begriff AI oder KI ist allgegenwärtig und gilt durch dessen disruptive Auswirkung auf so gut wie alle Industrien als die nächste industrielle Revolution. Künstliche Intelligenz ist der Dachbegriff für Maschinen und Programme, die ähnlich wie der Mensch durch die Auswertung von gewaltigen Datenmengen, selbstständig lernen, urteilen und Probleme lösen können. 

AI / KI in der Unternehmerischen Praxis - mit besonderem Fokus auf Marketing

Werden Sie sprachfähig und verschaffen Sie sich einen umfassenden Überblick über das Themengebiet AI / KI. Dabei erhalten Sie nicht nur einen allgemeinen Einblick, sondern bekommen explizite Einsatzmöglichkeiten dieser Technologie in der Unternehmerischen Praxis mit Schwerpunkt Marketing & Sales aufgezeigt. Lernen Sie, welche Fähigkeiten in der Zukunft gefragt sind, damit Sie Ihre Vorhaben und Projekt erfolgreich steuern können.

CONTENT DETAILS

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  • WORKSHOP: KI IN DER UNTERNEHMERISCHEN PRAXIS
    Period: 18 March 2020 - 18 March 2020
    Attendance dates:
    • 18 March 2020

    Lecturer: Benjamin Ferreau (Wirtschaftsingenieur, Dozent, Digital Experte & Entrepreneur)

Innovation Methods

Students are introduced to modern technology and innovation management in the Innovation Methods module. They are familiarized with trends and current developments and can subsequently evaluate and shape them.

CONTENT DETAILS
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  • Certificate: Innovation Manager
  • Innovation Methods
    Period: 18 January 2020 - 29 March 2020
    Attendance dates:
    • 18 January 2020
    • 19 January 2020
    • 13 March 2020
    • 14 March 2020
    • 15 March 2020
    • 21 March 2020
    • 22 March 2020

    Lecturer: Prof. Dr. Cornelius Herstatt
    Credits: 6
    Workload: 180 Hours
    Attendance Time: 80 Hours
    Examination: Presentation

Strategy Management Game

In this module students learn to develop entrepreneurial strategies in response to national and international market challenges and to analyze the consequences of strategic alternatives. 

CONTENT DETAILS
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  • Strategy Management Game
    Period: 10 January 2020 - 29 February 2020
    Attendance dates:
    • 10 January 2020
    • 8 February 2020
    • 15 February 2020
    • 21 February 2020
    • 22 February 2020
    • 28 February 2020
    • 29 February 2020

    Lecturer: Prof. Dr. Nicole Richter
    Credits: 6
    Workload: 180 Hours
    Attendance Time: 40 Hours
    Examination: Written assignment, Presentation

Design Thinking

Design Thinking is a new and different approach to solving problems and developing innovations. The focus is on people, needs, and deeper interrelationships. Design Thinking is a process, instrument, and mindset at the same time. Students learn the basics of design thinking in the course and use it as an example to solve a tricky problem. In the further course of the module, the instruments and working methods learned in this module are deepened and supplemented in an application-oriented manner.

CONTENT DETAILS
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  • Design Thinking
    Period: 25 January 2020 - 8 March 2020
    Attendance dates:
    • 25 January 2020
    • 26 January 2020
    • 1 February 2020
    • 2 February 2020
    • 16 February 2020
    • 23 February 2020
    • 7 March 2020
    • 8 March 2020

    Lecturer: Prof. Dr. Christoph Ihl
    Credits: 6
    Workload: 180 Hours
    Attendance Time: 60 Hours
    Examination: Presentation