PART 1: SYSTEMS SCIENCE  # APPLICATION AREAS# FUNDAMENTALS OF SYSTEMS SCIENCE# DYNAMIC SYSTEMS -- BASIC CONCEPTS# SIMULATION TECHNIQUES -- BASICS# OVERVIEW OF COMMON SIMULATION TOOLSPART 2. SIMULATION BASICS & MATLAB / SIMULINK AND STOCHASTIC MODELING. # Numerical Mathematics: The Euler Method for Solving Ordinary Differential Equations and Benchmarking Using the “Inline function” in MATLAB# Modeling of Passive filters and MATLAB-based simulation# SIMULINK-based  modeling and simulation of Passive filters# Benchmarking:  MATLAB- versus SIMULINK-  based simulation of passive filters# Statistical analysis of randomness # Queuing theory# Graph theory

PART 2. SIMULATION BASICS & MATLAB / SIMULINK AND STOCHASTIC MODELINGThe slides are available for the entire lecture. These slides are uploaded to the MOODLE system. The entire content of each slide is systematically explained by the lecturer. Additional examples not included in the slides are suggested by the lecturer to allow a good understanding of the information provided.Very important note. The lecturer will explain all the concepts of the lecture clearly and verify for each concept that at least 75% of the students have understood the explained concept. Otherwise the lecturer will explain the same concept until at least 75% of the students understand it.The slides contain exercises with solutions to help students understand the content of each chapter. These solutions are systematically explained by the lecturer (during the lecture).The slides contain exercises with solutions to be solved by students during the lecture (this is part of the oral exam). The students are fully assisted by the lecturer to obtain/get correct/ exact solutions to the suggested exercises. This will be helpful in checking whether the students have understood the chapters or not.

PART 1: SYSTEMS SCIENCE # APPLICATION AREAS# FUNDAMENTALS OF SYSTEMS SCIENCE# DYNAMIC SYSTEMS -- BASIC CONCEPTS# SIMULATION TECHNIQUES -- BASICS# OVERVIEW OF COMMON SIMULATION TOOLSPART 2. SIMULATION BASICS & MATLAB / SIMULINK AND STOCHASTIC MODELINGChapter 1. Numerical Mathematics: The Euler Method for Solving Ordinary Differential Equations and Benchmarking Using the “Inline function” in MATLABChapter 2. Techniques for Modeling Passive Filters: MATLAB- and SIMULINK- based simulation - Benchmarking between the two simulation methods used.Chapter 3. Statistical analysis of stochastic scenarios with selected applicationsChapter 4. Basics of Traffic theory with concrete engineering applicationsChapter 5. Basics of graph theory  with selected applications

• The final exam takes place on-campus in the form of a written exam.• The total duration of the final exam is 3 to 4 hours. 

• The questions for the final exam cover all chapters of the lecture.

The following four possibilities/options are offered as evaluation criteria: A student must choose one of the options belowOption 1. * Final Exam (95 /%) + BONUS 1 (5 /%).• BONUS 1. Participation in the course (i.e. attending the course/lecture, asking questions, answering questions, etc.) (5% of the total mark (or total grade) of the final Exam).Option 2. * Final Exam (95 /%) + BONUS 2 (5 /%).• BONUS 2. homework (5% of the total mark (or total grade) of the final Exam). Option 3. * Final Exam (90 /%) + BONUS 1 (5 /%) + BONUS 2 (5 /%). This option is offered to a student who has chosen BONUS 1 and BONUS 2.Option 4. * Final Exam without BONUS (100 % of the total mark (or total grade) of the final Exam).This option is offered to a student who has chosen neither BONUS 1 nor BONUS 2.