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!

Data Science & Machine Learning for Managers

Contents

  • Basic Workflows in Data Science
  • Programming Basics: Functions, Loops, Apply Data Access, Scraping and Import
  • Data Transformation with dplyr and data.table
  • Dealing with Text Data
  • Exploratory Data Analysis
  • Data Visualization with ggplot2
  • Data Modeling Overview
  • Unsupervised Machine Learning
  • Supervised Machine Learning
  • Deep Learning
  • Data Communication: R Markdown, Shiny Dashboards 

Learning objectives

After completing this module, students will be able to:

  • Obtain large amounts of data via APIs or web scraping from the Internet
  • Clean and transform data
  • Explore and visualize data in a goal-oriented way
  • Model data using modern machine learning techniques with respect to classifications and predictive predictions
  • Communicate data and results in the form of products and applications    

CONTENT DETAILS
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  • Data Science and Machine Learning for Managers
    Period: 3 May 2020 - 19 June 2020
    Attendance dates:
    • 3rd May 2020 09:00 AM - 3rd May 2020 05:00 PM
    • 8th May 2020 06:00 PM - 8th May 2020 10:00 PM
    • 14th June 2020 09:00 AM - 14th June 2020 05:00 PM
    • 19th June 2020 06:00 PM - 19th June 2020 10:00 PM
    • 20th June 2020 09:00 AM - 20th June 2020 05:00 PM
    • 21st June 2020 09:00 AM - 21st June 2020 05:00 PM

    Lecturer: Prof. Dr. Christoph Ihl
    Credits: 6
    Workload: 180 Hours
    Attendance Time: 48 Hours
    Examination: Presentation

Financial Performance & Management Control

Contents

  • Financial performance and economic value
  • Balance sheet
  • Income statement
  • Financial statement analysis and ratios
  • Management accounting
  • Costing 
  • Cost-based pricing
  • Break-even analysis
  • Performance measurement
  • Investment decisions
  • Monte Carlo simulation in accounting and finance
       
Learning objectives

After successful completion of this module, students are able to describe the components of the balance sheet and create a balance sheet from transaction data:

  • To describe the components of the balance sheet and to create a balance sheet from transaction data
  • To analyze business transactions and link them to balance sheet changes
  • To explain how external accounting measures income
  • Use the concept of matching to record expenditure for a period
  • To prepare a profit and loss account and to present the connection with a balance sheet
  • To identify the main principles of IFRS and their impact on financial performance management
  • To understand the approach of balance sheet analysis
  • To identify the most important analytical indicators and describe their calculation
  • To apply several standard cost accounting methods for different business contexts
  • To understand control and management of a company's costs in various areas (marketing, administration, logistics, etc.).
  • To apply management accounting techniques to strategic business decisions
  • To understand the principal-agent problem 
  • To assess the impact of performance management systems on behavior
  • To understand the time value of money and the criteria for investment decisions
  • To apply the amortization method, the present value method (NPV) and the internal rate of return method (IRR)
  • To analyze cash flows and project values
  • To determine weighted average cost of capital (WACC)
  • To explain what is meant by financial leverage and how financial leverage is measured
  • To develop numeracy and quantitative skills related to accounting and financial information
  • To apply Monte Carlo simulation to accounting and financial problems
  • To analyze and discuss case studies/projects and to develop problem-solving and team skills

CONTENT DETAILS
For attendance dates and calendar export please click the information button next to "Register".
  • Financial Performance and Management Control
    Period: 2 May 2020 - 14 August 2020
    Attendance dates:
    • 2nd May 2020 09:00 AM - 2nd May 2020 06:00 PM
    • 15th May 2020 05:00 PM - 15th May 2020 09:00 PM
    • 16th May 2020 09:00 AM - 16th May 2020 06:00 PM
    • 13th June 2020 09:00 AM - 13th June 2020 06:00 PM
    • 27th June 2020 09:00 AM - 27th June 2020 06:00 PM
    • 11th July 2020 09:00 AM - 11th July 2020 06:00 PM
    • 12th July 2020 09:00 AM - 12th July 2020 06:00 PM
    • 5th August 2020 06:00 PM - 5th August 2020 08:00 PM
    • 14th August 2020 05:00 PM - 14th August 2020 09:00 PM

    Lecturer: Prof. Dr. Matthias Meyer, Prof. Dr. Christian Ringle, Dr. Kai Mertens
    Credits: 6
    Workload: 180 Hours
    Attendance Time: 45 Hours
    Examination: Written exam

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:
    • 21st March 2020 12:00 AM - 21st March 2020 02:00 AM
    • 22nd March 2020 12:00 AM - 22nd March 2020 02:00 AM

    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/New Business Proposal

Contents

In this module, students form startup teams to develop and validate a self-chosen business idea, possibly presented by a company at the Project Fair. The validation process follows an incremental and iterative approach in which diversity, consideration of alternatives and testing of hypotheses based on prototypes are preferred to a linear five-year business plan. 

1.  Ideation and Team Mixer
2.  Customer Problem Discovery
3.  Value Proposition Design
4.  Customer Interviews
5.  Startup Discovery Presentations
6.  Market & Competition Assessment
7.  Business Model Innovation
8.  Prototyping & MVPs
9.  Business Hypotheses & Experiments
10. Startup Validation Presentation
11. Go-to-market Strategy
12. Startup Finance
13. Final Startup Pitches

Learning contents

After completing this module, students are able to:
  • Apply a modern innovation toolkit that is relevant in companies as well as in the startup world
  • Analyze given business opportunities in relation to individual elements
  • Design new business models by collecting and combining relevant ideas, facts and information
  • Evaluate business opportunities and judge the next steps and decisions

CONTENT DETAILS
For attendance dates and calendar export please click the information button next to "Register".
  • Innovation / New Business Proposal
    Period: 17 April 2020 - 10 July 2020
    Attendance dates:
    • 17th April 2020 10:00 AM - 17th April 2020 05:00 PM
    • 18th April 2020 09:00 AM - 18th April 2020 06:00 PM
    • 19th April 2020 09:00 AM - 19th April 2020 06:00 PM
    • 8th May 2020 10:00 AM - 8th May 2020 05:00 PM
    • 10th July 2020 10:00 AM - 10th July 2020 05:00 PM

    Lecturer: Prof. Dr. Christian Lüthje, Prof. Dr. Christoph Ihl
    Credits: 6
    Workload: 180 Hours
    Attendance Time: 40 Hours
    Examination: Presentation

Self-Development in a Digital Economy

Contents

  • Personal Reflection: what values guide me, what influence do I want to have in the world, how do I become an effective change maker? 
  • Effective Business Presentations: dealing with nervousness, voice, body language, audience, structure and structure of presentations
  • Conflict Management: various models according to Schulz von Thun (4 pages, internal team), Rosenberg (active listening, non-violent communication), Widmer (onion model), Glasl (conflict escalation), Blake/Mouton (conflict styles), simulation of conflict resolution talks, among others
  • Facilitating Work/Projects Groups: Moderator and moderation, techniques and posture, simulation of workshop moderation
  • Reflections in Project Groups: regular reflection on the project work in small groups for objective quality and cooperation as a team

CONTENT DETAILS
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  • Self-Development in a Digital Economy
    Period: 3 April 2020 - 16 August 2020
    Attendance dates:
    • 3rd April 2020 04:00 PM - 3rd April 2020 07:00 PM
    • 4th April 2020 09:00 AM - 4th April 2020 06:30 PM
    • 5th April 2020 09:00 AM - 5th April 2020 06:00 PM
    • 25th April 2020 09:00 AM - 25th April 2020 06:30 PM
    • 26th April 2020 09:00 AM - 26th April 2020 06:00 PM
    • 9th May 2020 09:00 AM - 9th May 2020 06:00 PM
    • 10th May 2020 09:00 AM - 10th May 2020 06:00 PM
    • 6th June 2020 09:00 AM - 6th June 2020 06:00 PM
    • 7th June 2020 09:00 AM - 7th June 2020 06:00 PM
    • 18th July 2020 09:00 AM - 18th July 2020 06:00 PM
    • 19th July 2020 09:00 AM - 19th July 2020 06:00 PM
    • 25th July 2020 09:00 AM - 25th July 2020 06:00 PM
    • 26th July 2020 09:00 AM - 26th July 2020 06:00 PM
    • 15th August 2020 09:00 AM - 15th August 2020 06:00 PM
    • 16th August 2020 09:00 AM - 16th August 2020 06:00 PM
    • 22nd August 2020 09:00 AM - 22nd August 2020 06:00 PM

    Lecturer: Sabine Conow, Chris Taylor
    Credits: 6
    Workload: 180 Hours
    Attendance Time: 64 Hours
    Examination: Presentation

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

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:
    • 18th March 2020 12:00 AM - 18th March 2020 02:00 AM

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