Modelling and Simulation using MATLAB

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Iversity online courses
Iversity's vision is to share world-class knowledge. Based out of Berlin, iversity works directly with professors instead of through universities to provide its high-quality courses in multiple different languages. Contemporary Architecture taught by internationally known professor Dr. Ivan Shumkov and Dark Matter in Galaxies: The Last Mystery led by world-famous astrophysicist Paolo Salucci are only two examples of the kind of top-tier courses you can take at Iversity. Google, Shell Compa...
Iversity's vision is to share world-class knowledge. Based out of Berlin, iversity works directly with professors instead of through universities to provide its high-quality courses in multiple different languages. Contemporary Architecture taught by internationally known professor Dr. Ivan Shumkov and Dark Matter in Galaxies: The Last Mystery led by world-famous astrophysicist Paolo Salucci are only two examples of the kind of top-tier courses you can take at Iversity. Google, Shell Company and Deutsche Bank - three of the most innovative and successful companies in the world - declared iversity a Lighthouse Project in Higher Education, a prestigious and highly sought after international honor. PC Magazine named Iversity as one of the best websites of 2013. Iversity's broad range of courses led by the best professors in the world gives you access to previously unattainable knowledge.

Provider Subject Specialization
Humanities
Sciences & Technology
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Course Description

Modelling and Simulation using MATLAB Technical progress wouldn’t be possible without modelling and simulation. They are starting point and basis in most cases of research and development. Modelling and simulation make a particular part or feature of the world easier to define, visualize, quantify and understand. Both require identifying and selecting relevant aspects of a situation in the real world and then using different types of models for different aims and defining the best fitting model parameters. MATLAB is a high-level programming language and an environment for numerical computation and visualization. You can analyse data and create models for a wide range of applications, including signal processing and communications, image and video processing, control engineering and computational finance. In this course you will learn the basics of modelling and simulation from an interdisciplinary perspective. In addition, we will te... Modelling and Simulation using MATLAB Technical progress wouldn’t be possible without modelling and simulation. They are starting point and basis in most cases of research and development. Modelling and simulation make a particular part or feature of the world easier to define, visualize, quantify and understand. Both require identifying and selecting relevant aspects of a situation in the real world and then using different types of models for different aims and defining the best fitting model parameters. MATLAB is a high-level programming language and an environment for numerical computation and visualization. You can analyse data and create models for a wide range of applications, including signal processing and communications, image and video processing, control engineering and computational finance. In this course you will learn the basics of modelling and simulation from an interdisciplinary perspective. In addition, we will teach you how to develop models using MALTAB and the block diagram environment Simulink. Why this MOOC is interdisciplinary Scientific disciplines have their own ideas about specific types of modelling. Such as conceptual models to better understand the subject, graphical models to visualize the subject, operational models to operationalize and mathematical models to quantify the subject. In this course, our experts from three disciplines look at modelling concepts from various angles: Technological view Economic perspective Importance of knowledge management. Course Contents The course is divided in two sections. The first part (A) teaches the basics and is mandatory to all participants. Within the second part of the course (B) you have the opportunity to choose from a catalogue of applications (MOOClets) to work on selected examples. Part A – Interdisciplinary Introduction to modelling and simulation Modelling Simulation Introduction to MATLAB concepts Building a business case Methods to solve formal problems Knowledge management Introduction to Simulink Part B – Selectable Applications of modelling and simulation (MOOClets) You can choose three to five applications according to your preference and knowledge from the following catalogue: Simulation of a water treatment plant Application 'modelling a business base' Application 'knowledge management' Control engineering I – 'controlling Lego® NXT robots' Control engineering II – 'line tracking with Lego® Segway' Control engineering III – 'a Segway – how does it work?' Image processing I – ‘statistics for image processing and machine learning’ Image processing II – 'a brief introduction to image processing' Image processing III – ‘application of machine learning algorithms in a nutshell' Quality measurement of video cameras (lenses and sensors) Acoustic simulation of musical instruments … (further chapters are planned) Learning with the MOOC During the term of the MOOC we will offer video lectures that convey modelling and simulation step by step in a descriptive way. You will exercise the issues in interactive tasks and weekly homework. The MOOC platform is a networking tool. You can benefit from the peer-to-peer learning and the forum within the course. While not required, we recommend creating learning groups and to engage in the community. Experimentation and playful learning are part of the MOOC. Learning Outcomes Students are acquainted with the concepts of modelling and simulation from an interdisciplinary point of view Students are able to implement and simulate models using MATLAB/Simulink Depending on the selected applications in part B of the course students get deeper know how in control engineering, image processing, machine learning, business case modelling, knowledge management and simulation of a water treatment plant. Enthusiastic students with only simple programming knowledge get an understanding of the basic MATLAB programming. Workload Approx. 8-12 hours per week. 12 Units including individual selected applications of Part B. Experimentation and a deeper look at the topics as you like. FAQ
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