Course Outline

Peter Dannenmann, Georg Fries, Karin Grslund, Patrick Metzler, Michael Schmidt, Andreas Zinnen

Dr. Georg Fries Modelling and Simulation using MATLAB 2

Course Outline

Chapter 1: Introduction to MATLAB Concepts (starting Mai 21st, 2015)

The MATLAB User Interface Commands Plotting Numbers Variables, Arrays and Matrices Scripts and Functions Control Flow Examples

Dr. Peter Dannenmann Modelling and Simulation using MATLAB 3

Course Outline

Chapter 2: Modelling and Simulation (starting Mai 28th, 2015)

Background information on the applications of simulation techniques

Classification of simulation systems

Basic simulation and modelling techniques

The Model Development Life Cycle

Dr. Patrick Metzler Modelling and Simulation using MATLAB 4

Course Outline

Chapter 3: The Basic Problem Solving Toolbox (starting June 4th, 2015)

Toolbox for Solving Formal Problems

Analogies

Definitions

Divide and Conquer

Exchange of Given and Looked For

Plausibility Tests

Dr. Patrick Metzler Modelling and Simulation using MATLAB 5

Course Outline

Chapter 4: Advanced Problem Solving Methods (starting June 11th, 2015)

Brute Force

Least Squares

Monte Carlo

Bridge Problem

Dr. Georg Fries Modelling and Simulation using MATLAB 6

Course Outline

Chapter 5: Statistics and Image Processing (starting June 18th, 2015)

Random Numbers Descriptive Statistics

Mean, Median, Mode Probability Density Function pdf Cumulative Distribution Function cdf Random Number Generation Intensity Transformation Spatial Filtering

Smoothing, Sharpening, Unsharp Masking Image Enhancement

Modelling and Simulation using MATLAB 7

Elective Chapters

Instance Based Machine Learning in a Nutshell

Optical Character Recognition

Modelling a Business Case

Knowledge Management

Course Outline

8 Dr. Andreas Zinnen Modelling and Simulation using MATLAB

Required Previous Chapter: Statistics and Image Processing k-means clustering k-nearest neighbours

Regression analysis/classification Density estimation

Novelty detection using KDE Nadaraya Watson and Silverman

Cross validation Model evaluation

Course Outline

Elective Chapter: Instance Based Machine Learning in a Nutshell

Dr. Georg Fries Modelling and Simulation using MATLAB 9

Course Outline

Elective Chapter: Optical Character Recognition

Theoretical principle of the Tesseract Engine

Training of your own font

Hands on: License Plate Recognition using OCR

Dr. Karin Grslund Modelling and Simulation using MATLAB 10

Course Outline

Elective Chapter: Modelling a Business Case

Overview on Modelling Business Cases

Workshop on Design Thinking

Calculating a Business Case

Dr. Michael Schmidt Modelling and Simulation using MATLAB 11

Course Outline

Elective Chapter: Knowledge Management

Knowledge is THE critical factor for successful technological developments.

In simulation and modeling experts need to share their knowledge to achieve synergies. This means explicating tacit knowledge.

As it is a most success-critical resource, we need to find out how we can make knowledge available to the development processes in simulation and modeling.