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 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