An engineer’s notebook.
Advanced mathematics for engineering applications, including calculus, linear algebra, and differential equations.
Vector Calculus Linear Algebra Differential Equations
Comprehensive guides on electronic circuit design, simulation tools, and practical implementations.
Digital Logic Analog Circuits PCB Design
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Interactive Python notebooks for solving real-world engineering problems and data analysis.
Python MATLAB Simulation
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Deep dives into programming concepts, algorithms, and software design patterns.
Algorithms Design Patterns System Design
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Core engineering principles, from mechanics to thermodynamics and control systems.
Mechanics Control Systems Thermodynamics
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Fundamental computer science concepts, from data structures to operating systems.
Data Structures Operating Systems Networks
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Statistical analysis, machine learning, and data visualization techniques.
Statistics Machine Learning Visualization
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Study of complex systems, emergence, and network science.
Complex Systems Network Theory Emergence
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