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Related lectures (30)
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Data Science for Engineers: Part 2
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Explores data manipulation, exploration, and visualization in data science projects using Python.
Arrays in C: Advanced Data Types
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Discusses advanced data types in C, focusing on arrays and their characteristics.
Introduction to C Programming
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Introduces the fundamentals of C programming, covering language families, data types, pointers, and compilation processes.
Matlab: Writing Formats and String Decoding
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Introduces writing formats and decoding strings using Matlab/Octave, covering various data types and GUI programming.
Python Basics
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Covers Python basics, Git, control structures, functions, file handling, and debugging using PDB.
LabVIEW: Display and DAQ
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Covers LabVIEW basics, error handling, data types, waveform display, and data acquisition.
Weibull Model: Random Data
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Explores the Weibull model's application to random data and its significance in analyzing material strength and failure probability.
Fracture Mechanics: Crack Growth and Weakest Link
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Explores fracture mechanics, crack growth, and the weakest link theory, emphasizing the statistical distribution of crack sizes and the significance of the largest crack in material failure.
Programming Fundamentals: Recap and Modular Approach
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Covers fundamental programming concepts and highlights the importance of modular code design.
Fracture Mechanics: Energy Analysis
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Explores energy analysis in fracture mechanics, emphasizing unstable crack growth and the importance of compliance in structural behavior.
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