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Advanced MATLAB Programming 1 Section4 Lessons16 Hours

Curriculum

1 Section
4 Lessons
16 Hours

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Course Curriculum
4 Items

Lesson 3: Performance, Parallel Computing, and Large Data

Lesson Overview

Develop practical capability in performance, parallel computing, and large data as part of the Advanced MATLAB Programming learning path.

Topics Covered

Profiler and performance measurement
Vectorization, preallocation, and algorithmic efficiency
Memory usage and copy behavior
Parallel loops and batch concepts
Datastores and tall-array workflows
GPU and code-generation considerations

Practical Activity

Build a guided MATLAB exercise covering profiler and performance measurement.
Apply vectorization, preallocation, and algorithmic efficiency to a practical engineering or data scenario.
Validate results and troubleshoot an issue involving gpu and code-generation considerations.

Key Takeaways

Explain and apply profiler and performance measurement.
Use memory usage and copy behavior in a structured workflow.
Validate outputs with plots, metrics, tests, or simulation evidence.

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Lesson 2: Object-Oriented Programming and Advanced Data Models

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