Lectures related to Local variable

Functions: Reusability and Error Reduction

Covers functions in C programming, emphasizing reusability and error reduction through proper function structure.

Passing by Reference: Benefits and Performance Considerations

Explores passing by reference in functions, highlighting benefits and performance considerations compared to passing by value.

Matlab 2: Vectorisation and Functions

Covers vectorisation, functions, and flow control in Matlab, emphasizing the importance of avoiding global variables and providing examples of simple plots and debugging techniques.

C++: Loops and Incrementation

Covers C++ loops, incrementation, and variable scope, with examples of evaluating expressions and reading input from the keyboard.

Programming Functions in MATLAB

Covers programming functions in MATLAB, including handling scalars, vectors, matrices, and variable naming conventions.

Understanding Microcontrollers: Functions

Introduces the fundamentals of functions in microcontroller programming, emphasizing naming rules and step-by-step development.

Understanding Microcontrollers: Functions

Introduces the fundamentals of functions in microcontroller programming, emphasizing naming conventions and program structuring.

Arduino Data Acquisition

Explores Arduino data acquisition, emphasizing global variables, race conditions, and state machines.

Function Parameters and Global Variables

Explores function parameters, global variables, debugging tools, and vectorization in programming.

Static Usage in C++: Understanding Variable Lifetimes

Covers the three usages of 'static' in C++, focusing on variable lifetimes and scope.

Control Structures in C: Key Concepts and Examples

Introduces control structures in C programming, covering branches, loops, and best practices for writing clear code.

Introduction to MATLAB: Basic Concepts

Introduces basic MATLAB concepts through exercises and Python transition.

Data Structures: Tuples, Sets, Dictionaries

Explores tuples, sets, and dictionaries in Python, covering immutability, uniqueness, and key-value pairs.

Stochastic Endowment Consumption Model

Covers the stochastic endowment consumption model, log-linear transformation, impulse response solution, and Matlab codes.

Irreversible Processes, Dissipation

Explores irreversible processes, dissipation, heat generation, subsystem behavior, and state variables.

Programming Fundamentals: Functions

Introduces Python programming basics, focusing on functions to enhance code efficiency.

Introduction to Java Programming

Covers Java programming basics, emphasizing code reusability and demonstrating it with a practical example.

Blocks and Lexical Scopes

Explores nested functions, blocks, visibility rules, and lexical scoping in Scala.

Programming for Engineers: Advanced MATLAB Techniques

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

Monotonicity and Semantics of Local Variables

Explores properties of relations, monotonicity, semantics of local variables, and translation in programs.