MATLAB & Simulink Course Contents, pdf - Figes.com.tr

<strong>MATLAB</strong> & <strong>Simulink</strong> <strong>Course</strong> <strong>Contents</strong>
<strong>MATLAB</strong> Fundamentals
Training Objectives
<strong>MATLAB</strong> Fundamentals is a three-day course that provides a <strong>com</strong>prehensive introduction to the
<strong>MATLAB</strong> technical <strong>com</strong>puting environment. This course is intended for beginning users and those
looking for a review. No prior programming experience or knowledge of <strong>MATLAB</strong> is assumed, and the
course is structured to allow thorough assimilation of ideas through hands-on examples and
exercises. <strong>MATLAB</strong> <strong>com</strong>petency is developed in a natural way, with an emphasis on practical
application. Themes of data analysis, visualization, modeling, and programming are explored
throughout the course. Topics Include:
• Working with the <strong>MATLAB</strong> user interface
• Entering <strong>com</strong>mands and creating variables
• Performing analysis on vectors and matrices
• Visualizing vector and matrix data
• Working with data files
• Working with data types
• Automating <strong>com</strong>mands with scripts
• Writing programs with logic and flow control
• Writing functions
Pre requisites
Familiarity with undergraduate level mathematics and experience with basic <strong>com</strong>puter operations.
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<strong>MATLAB</strong> for Data Processing and Visualization
Training Objectives
<strong>MATLAB</strong> for Data Processing and Visualization is a one-day, intermediate-level course focusing on the
details of data management and visualization techniques, from reading various formats of data files
to producing customized publication-quality graphics. The course emphasizes creating scripts that
extend the basic features provided by <strong>MATLAB</strong>. Hands-on examples explore features for efficiently
organizing and presenting data, providing a practical set of tools for further data analysis. Topics
include:
• Importing data
• Organizing data
• Visualizing data
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• Exporting data
Pre requisites
<strong>MATLAB</strong> Fundamentals (ML01), or equivalent experience using <strong>MATLAB</strong>.
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<strong>MATLAB</strong> Programming Techniques
Training Objectives
<strong>MATLAB</strong> Programming Techniques provides hands-on experience using the features in the <strong>MATLAB</strong>
language to write efficient, robust, and well-organized code. These concepts form the foundation for
writing full applications, developing algorithms, and extending built-in <strong>MATLAB</strong> capabilities. Details of
performance optimization are covered throughout the one-day course, as well as tools for writing,
debugging, and profiling code. Topics include:
• Programming for correctness
• Structuring data
• Structuring code
• Classes and objects
Pre requisites
<strong>MATLAB</strong> Fundamentals (ML01), or equivalent experience using <strong>MATLAB</strong> and familiarity with basic
programming concepts.
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<strong>MATLAB</strong> for Building Graphical User Interfaces
Training Objectives
This one-day course demonstrates how to build graphical user interfaces (GUIs) in <strong>MATLAB</strong>. It
explains how to build GUIs in <strong>MATLAB</strong> from the <strong>com</strong>mand line by using GUIDE, the GUI development
environment. The course introduces concepts for designing and laying out GUIs. Demos show how
you can link actions defined by code to a user interface object, such as a push button. You will also
learn how to create custom menus for GUIs.
Pre requisites
<strong>MATLAB</strong> Fundamentals (ML01), or equivalent experience using <strong>MATLAB</strong>.
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<strong>Simulink</strong> ® for System and Algorithm Modeling
Training Objectives
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This course is for engineers who are new to system and algorithm modeling and design validation in
<strong>Simulink</strong>. It demonstrates how to apply basic modeling techniques and tools to develop <strong>Simulink</strong>
block diagrams. Topics include:
• Creating and modifying <strong>Simulink</strong> models and simulating system dynamics
• Modeling continuous-time, discrete-time, and hybrid systems
• Modifying solver settings for simulation accuracy and speed
• Building hierarchy into a <strong>Simulink</strong> model
• Creating reusable model <strong>com</strong>ponents using subsystems, libraries, and model references
If your application is Signal Processing or Communications, please refer to our <strong>Simulink</strong> for Signal
Processing course.
Pre requisites
Knowledge of <strong>MATLAB</strong> basics.
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<strong>MATLAB</strong> for Signal Processing (two days)
Signal processing in the <strong>MATLAB</strong> environment, including the capabilities of the Signal Processing and
Filter Design toolboxes. The first day of the course is an introduction to signal processing
concentrating on representations of signals in <strong>MATLAB</strong>, spectral analysis, and working with linear,
time-independent system models. The second day concerns filter design, with a <strong>com</strong>prehensive
treatment of FIR, IIR, adaptive, and multirate filters. Filter quantization and implementation are also
discussed.
Pre requisites
<strong>MATLAB</strong> Fundamentals and Programming Techniques (ML01) or equivalent experience using
<strong>MATLAB</strong>. Students are expected to have some exposure to signal processing techniques prior to
taking this advanced course.
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Image Processing with <strong>MATLAB</strong>
Training Objectives
This two-day course shows how to use Image Processing Toolbox to perform various image
processing techniques. The course explores the different types of image representations, how to
enhance image characteristics, image filtering, and how to reduce the effects of noise and blurring in
an image. It also introduces different methods used to extract features and objects within an image,
image registration, and a few techniques for reconstructing images and objects.
Pre requisites
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<strong>MATLAB</strong> Fundamentals (ML01) or equivalent experience using <strong>MATLAB</strong>. <strong>MATLAB</strong> for Signal
Processing (SG01) and a basic knowledge of image processing concepts are strongly re<strong>com</strong>mended.
Products
• <strong>MATLAB</strong>
• Signal Processing Toolbox
• Statistics Toolbox
• Wavelet Toolbox
• Image Processing Toolbox
• Image Acquisition Toolbox
• Image Acquisition Toolbox
• <strong>MATLAB</strong> Compiler
• <strong>Simulink</strong>
• Signal Processing Blockset
• Video and Image Processing Blockset
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<strong>MATLAB</strong> and <strong>Simulink</strong> for Control Design
Acceleration
Training Objectives
This is a two day hands-on course designed to provide a general understanding of how to use The
MathWorks suite of control system design tools to accelerate the design process for closed loop
control systems. Topics include:
• Model formats
• System identification
• System analysis
• Linearization
• Compensator design
• Controller implementation
Pre requisites
<strong>MATLAB</strong> Fundamentals and <strong>Simulink</strong> for System and Algorithm Modeling or equivalent experience
using <strong>MATLAB</strong> and <strong>Simulink</strong>. Also, an understanding of terminology and concepts related to <strong>com</strong>mon
control systems.
Products
• <strong>MATLAB</strong>
• Control System Toolbox
• System Identification Toolbox
• <strong>Simulink</strong>
• <strong>Simulink</strong> Control Design
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• <strong>Simulink</strong> Response Optimization
• <strong>Simulink</strong> Parameter Estimation
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<strong>MATLAB</strong> for Data Acquisition and Instrument
Control
Training Objectives
This course covers real-time interfaces of <strong>MATLAB</strong> for data acquisition and instrument control,
including:
• Acquiring measured data from a data acquisition device
• Communicating with an external instrument via a GPIB interface
• Using synchronized analog I/O and digital I/O
• Using the Instrument Control Toolbox to write <strong>com</strong>mands to the instrument and read waveform
data from the instrument
Pre requisites
<strong>MATLAB</strong> Fundamentals or the equivalent and an understanding of data acquisition hardware and
instrument control. <strong>MATLAB</strong> for Building Graphical User Interfaces is highly re<strong>com</strong>mended.
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Physical Modeling of Mechanical Systems with
SimMechanics
Training Objectives
This one-day course discusses how to model rigid-body mechanical systems in the <strong>Simulink</strong>
environment using SimMechanics. No previous knowledge of the SimMechanics software is required.
Topics include:
• Modeling simple multibody systems
• Combining <strong>Simulink</strong> blocks and SimMechanics blocks
• Creating reusable models of mechanical systems
• Modeling constraints (gears, wheels, etc.)
Pre requisites
Knowledge of <strong>MATLAB</strong> and <strong>Simulink</strong> basics.
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Stateflow ® for Logic Driven System Modeling
Training Objectives
Stateflow for Logic-Driven System Modeling is a two-day, hands-on course that covers the use of
Stateflow in implementing <strong>com</strong>plex decision flows and finite-state machines. The course is designed
for <strong>Simulink</strong> users who wish to model and simulate event-driven and logic systems. It focuses on how
to employ flow graphs, state machines, and truth tables in <strong>Simulink</strong> designs. Topics include:
• Modeling <strong>com</strong>plex logic flows
• Modeling state machines
• Implementing hierarchical state machines
• Implementing multiprocessing state machines
• Using events in state charts
• Calling functions from state charts
• Implementing truth tables
• Managing the Stateflow design interface
Pre requisites
<strong>MATLAB</strong> Fundamentals and <strong>Simulink</strong> for System and Algorithm Modeling, or working experience with
<strong>MATLAB</strong> and <strong>Simulink</strong>. Knowledge of C programming is helpful.
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Parallel Computing with <strong>MATLAB</strong>
Training Objectives
Parallel Computing with <strong>MATLAB</strong> is a two-day course introducing tools and techniques for
distributing code and writing parallel algorithms in <strong>MATLAB</strong>. The course shows how to use the
Parallel Computing Toolbox software to increase both the speed and the scale of existing code.
Attendees who are working with long-running simulations, or large data sets, will benefit from the
hands-on demonstrations and exercises in the course. Topics include:
• Working with a <strong>MATLAB</strong> pool
• Speeding up <strong>com</strong>putations
• Task-parallel programming
• Working with large data sets
• Data-parallel programming
• Increasing scale with multiple systems
• Installation and troubleshooting (optional)
• Schedulers (optional)
Pre requisites
<strong>MATLAB</strong> Fundamentals (ML01), or equivalent experience using <strong>MATLAB</strong>.
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