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. # Solving ordinary differential equations with MATLAB# Solving ordinary differential equations with SIMULINK# 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. Solving equations with MATLABChapter 2. Solving equations with SIMULINKChapter 3. Statistical analysis of stochastic scenariosChapter 4. Basics of Traffic theoryChapter 5. Basics of graph theory

• 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 final exam (i.e., a written exam) corresponds to 50% of the overall grade of the lecture.• Taking part in the lecture and answering questions correspond to the oral examination. This is evaluated with 25% of the overall grade of the lecture.• All assignments (i.e., homework) correspond to 25% of the overall grade of the lecture.