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Programming for Engineers
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Related lectures (47)
MATLAB Essentials: Functions and Variables
Covers essential MATLAB functions, variables, loops, and debugging tools.
Gitlab Agent for Kubernetes (`agentk`)
Covers the setup of a Gitlab agent for Kubernetes, focusing on installation, version control, and troubleshooting.
Numerical Methods for Boundary Value Problems
Covers numerical methods for solving boundary value problems using finite difference, FFT, and finite element methods.
Programming for Engineers
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Covers programming basics for engineers, emphasizing MATLAB, C, and LabVIEW tools for project development.
Programming for Engineers
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Covers programming concepts using MATLAB, C, and LabVIEW for engineering projects, including a billiards game analysis.
Introduction to Matlab Programming
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Introduces Matlab programming, covering basic operations, matrix manipulations, and debugging.
Matlab: Interactive Mode and Project Steps
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Introduces Matlab basics, error handling, and billiards project concepts.
Programming for Engineers
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Covers programming concepts, memory management, debugging, and advanced MATLAB functionalities.
Matlab Programming: Script and Function
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Explores Matlab programming with scripts and functions, vectorization, and 2D graphics.
Programming for Engineers: Advanced MATLAB Techniques
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Explores advanced MATLAB techniques, emphasizing vectorization, 'find' function, and plot manipulation.
LabVIEW: Display and DAQ
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Covers LabVIEW programming for data acquisition and display, including LabVIEW sound and visualization.
Matlab: 3D Surface Plotting
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Covers logical arrays, 3D surface plotting, parametric curves, interpolation, and fitting in Matlab.
Matlab 2: Vectorisation and Functions
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Covers vectorisation, functions, and flow control in Matlab, emphasizing the importance of avoiding global variables and providing examples of simple plots and debugging techniques.
LabVIEW Programming Essentials
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Explores LabVIEW essentials, troubleshooting common issues, managing cache, and data visualization techniques.
Programming for Engineers: Overview and Interactive Quiz
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Covers programming concepts for engineers, including interactive quizzes and practical applications to enhance learning and engagement.
Spectral Estimation Methods
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Explores parametric spectrum estimation methods, including line and smooth spectra, and delves into heart rate variability analysis.
Programming for Engineers
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Covers programming basics, debugging, good practices, and a semester-long project for engineering students.
Untitled
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Quiz LV
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Covers examples related to racing programming for engineers, focusing on values of variables, debugging, and shift registers.
File Management and Exception Handling in Python
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Focuses on file management and exception handling in Python programming.
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