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MATLAB AND SIMULINK CLASSROOM COURSES

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MATLAB AND SIMULINK FUNDAMENTALS

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MATLAB FUNDAMENTALS

Use MATLAB for data analysis, visualization, modeling, and programming. Combine
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SIMULINK FUNDAMENTALS

Explore the fundamentals of Simulink. Model continuous-time, discrete-time, and
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designs.

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MATLAB FUNDAMENTALS FOR AEROSPACE APPLICATIONS

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5G FUNDAMENTALS WITH MATLAB

Use MATLAB and 5G Toolbox to generate reference 5G New Radio (NR) waveforms and
build an end-to-end 5G NR PHY model.

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ACCELERATING AND PARALLELIZING MATLAB CODE

Make MATLAB code run faster. Compile MATLAB code into MEX files and solve
computationally and data-intensive problems using multicore processors, GPUs,
and computer clusters.

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ADVANCED MATLAB APPLICATION DEVELOPMENT

Apply the key principles and techniques of object-oriented application
development using MATLAB to create complex interactive user interfaces.

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AUTOMATED DRIVING WITH MATLAB

Use MATLAB to perform essential automated driving tasks. Label ground truth
data, detect lanes and objects, generate driving scenarios and modeling sensors,
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BATTERY MODELING AND ALGORITHM DEVELOPMENT WITH SIMULINK

Use Simscape and Stateflow to model battery packs and develop supervisory
controls for battery management systems.

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BUILDING INTERACTIVE APPLICATIONS IN MATLAB

Use App Designer to lay out apps, interactively display and update graphics and
components, and create callback functions to control responsive graphical
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COMPUTER VISION WITH MATLAB

Perform object detection, tracking, and motion estimation on images and videos.
The course also covers camera calibration, point clouds, and 3D reconstruction.

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CONTROL SYSTEM DESIGN WITH SIMULINK

Design and model control systems with Simulink. Topics include system
identification, parameter estimation, control system analysis, and response
optimization.

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DEEP LEARNING WITH MATLAB

Create and modify deep neural networks for classification, regression, and
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DESIGN VERIFICATION WITH SIMULINK

Use Simulink Design Verifier to ensure a design is devoid of errors. Leverage
formal verification methods to understand model coverage, and automatically
generate tests to complete model coverage.

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DSP FOR FPGAS

Optimize digital signal processing (DSP) algorithms for efficient
implementations using HDL code generation for field-programmable gate arrays
(FPGAs).

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EMBEDDED LINUX AND SYSTEM INTEGRATION FOR ZYNQ

Create a reference design in Vivado and SDK, integrate user space device drivers
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