Lectures in course ME-213: Programmation pour ingénieur

Explains image recognition in LabVIEW, focusing on reading parameters and recognizing digits.

Covers tools and best practices for software writing, debugging, testing, and managing code.

Introduces LabVIEW essentials for engineers, covering loops, structures, dataflow, error handling, clusters, strings, and graph customization.

Introduces Matlab basics, error handling, and billiards project concepts.

Covers LabVIEW fundamentals, data acquisition, sound acquisition, and design patterns like state machines and producer-consumer.

Covers the basics of LabVIEW programming, focusing on virtual instruments and graphical data flow execution.

Explores LabVIEW essentials, troubleshooting common issues, managing cache, and data visualization techniques.

Introduces LabVIEW for data processing and visualization, covering topics like waveform synchronization and color lookup tables.

Covers the basics of LabVIEW, including its importance, history, functions, and tools available.

Explores Matlab programming with scripts and functions, vectorization, and 2D graphics.

Explores program development, debugging, testing, and code management best practices for reliable software.

Provides a recap on frequency methods for designing PD controllers for systems.

Explores advanced MATLAB techniques, emphasizing vectorization, 'find' function, and plot manipulation.

Emphasizes error management in LabVIEW, source file analysis, and program execution with Xcode.

Covers the basics of file handling in C, common issues, and standard functions.

Covers advanced Matlab programming topics such as cell arrays, 3D surfaces, and interpolation.

Covers derivation, integration, and simulation in Matlab, along with the representation of numbers and potential errors.

Covers project evaluation, testing practices, and submission requirements for students.

Covers programming basics, debugging, good practices, and a semester-long project for engineering students.