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
For attendance dates and calendar export please click the information button next to "Register".

  • Data Science & Machine Learning for Managers
    Period: 13 October 2021 - 30 January 2022
    Attendance dates:
    • 17th October 2021 09:00 AM - 17th October 2021 05:00 PM
    • 23rd October 2021 09:00 AM - 23rd October 2021 05:00 PM
    • 4th December 2021 09:00 AM - 4th December 2021 05:00 PM
    • 11th December 2021 09:00 AM - 11th December 2021 05:00 PM
    • 23rd January 2022 09:00 AM - 23rd January 2022 05:00 PM
    • 30th January 2022 09:00 AM - 30th January 2022 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 & Management Control
    Period: 13 October 2021 - 29 April 2022
    Attendance dates:
    • 14th January 2022 06:00 PM - 14th January 2022 07:00 PM
    • 22nd January 2022 09:00 AM - 22nd January 2022 04:00 PM
    • 28th January 2022 05:00 PM - 28th January 2022 09:00 PM
    • 12th February 2022 09:00 AM - 12th February 2022 05:00 PM
    • 26th February 2022 09:00 AM - 26th February 2022 05:00 PM
    • 12th March 2022 09:00 AM - 12th March 2022 05:00 PM
    • 25th March 2022 05:00 PM - 25th March 2022 09:00 PM
    • 26th March 2022 09:00 AM - 26th March 2022 05:00 PM
    • 21st April 2022 04:00 PM - 21st April 2022 06:00 PM
    • 29th April 2022 05:00 PM - 29th April 2022 06:00 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

Foundations of Business Development

This module serves as a basis for MyProject and teaches the basics for the development of innovative projects and new business fields. The modules focus on recognizing, analyzing, and planning new business methods. Subsequently, students are able to develop innovations and develop business plans.

CONTENT DETAILS
For attendance dates and calendar export please click the information button next to "Register".
  • Foundations of Business Development
    Period: 13 October 2021 - 21 November 2021
    Attendance dates:
    • 15th October 2021 04:30 PM - 15th October 2021 08:00 PM
    • 16th October 2021 09:00 AM - 16th October 2021 05:00 PM
    • 5th November 2021 05:00 PM - 5th November 2021 09:00 PM
    • 6th November 2021 09:00 AM - 6th November 2021 05:00 PM
    • 12th November 2021 05:00 PM - 12th November 2021 09:00 PM
    • 14th November 2021 09:00 AM - 14th November 2021 05:00 PM
    • 19th November 2021 05:00 PM - 19th November 2021 09:00 PM
    • 21st November 2021 09:00 AM - 21st November 2021 05:00 PM

    Lecturer: Prof. Dr. Christian Lüthje, Prof. Dr. Christoph Ihl
    Credits: 6
    Workload: 180 Hours
    Attendance Time: 48 Hours
    Examination: Written assignment

Innovation Tools, Methods & Concepts

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

Contents
The focus is on tools and processes of modern technology and innovation management such as stage gate processes, technology roadmaps, foresight tools, large data analysis or simulation. At the same time, current trends such as the “Circular Economy,” “Big Data” and “Digitization” will be discussed.
Current Challenges and Trends in Technology Management
These inputs address current issues that are relevant in the context of changing workplaces and increasingly digitized forms of work:
• Disruptive Innovation and Disruptive Opportunities for Frugal Innovation
• Technology foresight – Challenges and solutions 
• Circular Economy, Cradle2Cradle Innovation (C2C) and Business Model Innovation Opportunities
• Complexity management with large data analysis and simulation
Technology Assessment and Acquisition
This input introduces a concept and methodology for the development of technology strategies and their combination with business strategies and/or policy decisions.  Concepts and applications of a range of integrated tools are presented, including technology assessment and hierarchical decision modeling. 
Innovation Process
This input includes an introduction to the basic concepts of innovation management, the framework conditions of the innovation process, the management of idea generation and selection and the management of alternative generation and implementation (technical problem solving).
  • Innovation Tools, Methods & Concepts
    Period: 13 October 2021 - 20 February 2022
    Attendance dates:
    • 15th January 2022 09:00 AM - 15th January 2022 06:00 PM
    • 16th January 2022 09:00 AM - 16th January 2022 06:00 PM
    • 13th February 2022 09:00 AM - 13th February 2022 06:00 PM
    • 20th February 2022 09:00 AM - 20th February 2022 06:00 PM

    Lecturer: Prof. Dr. Cornelius Herstatt, Prof. Dr. Iris Lorscheid, Prof. Dr. Hans Koller
    Credits: 6
    Workload: 180 Hours
    Attendance Time: 80 Hours
    Examination: Presentation

Shaping the World of Tomorrow

The module Shaping the Digital World provides students with an introduction to digital transformation (history, drivers, success factors). They learn the basics of the development of digital products through a practical project and gain an insight into the topics of IT security as well as the ethics and culture of digital society. The module encourages students to play an active role in shaping digital change and to be able to competently evaluate future developments.

CONTENT DETAILS

For attendance dates and calendar export please click the information button next to "Register".
  • Shaping the World of Tomorrow
    Period: 13 October 2021 - 31 March 2022
    Attendance dates:
    • 29th October 2021 05:00 PM - 29th October 2021 09:00 PM
    • 20th November 2021 09:00 AM - 20th November 2021 06:00 PM
    • 26th November 2021 05:00 PM - 26th November 2021 09:00 PM
    • 27th November 2021 09:00 AM - 27th November 2021 06:00 PM
    • 10th December 2021 05:00 PM - 10th December 2021 09:00 PM
    • 29th January 2022 09:00 AM - 29th January 2022 06:00 PM
    • 4th February 2022 05:00 PM - 4th February 2022 09:00 PM
    • 11th February 2022 04:30 PM - 11th February 2022 09:30 PM
    • 18th February 2022 05:00 PM - 18th February 2022 09:00 PM

    Lecturer: Carolin Weißhaar
    Credits: 6
    Workload: 180 Hours
    Attendance Time: 48 Hours
    Examination: Presentation