Lectures related to Source-code editor

Python Functions: Basics and Arguments

Covers the basics of writing functions in Python and working with function arguments.

Coding Environment Basics

Covers the basics of using an online coding environment to write and run code.

Macroeconomic Model Analysis

Explores the impact of productivity shocks and government policies on key economic variables.

MATLAB Essentials: Functions and Variables

Covers essential MATLAB functions, variables, loops, and debugging tools.

Advanced Information Theory: Random Binning

Explores random binning in advanced information theory, focusing on assigning labels based on typicality and achieving negligible error rates in source coding.

Language Server Protocol: Implementation for IME Compiler

Covers the Language Server Protocol implementation for the IME compiler, focusing on features like auto-completion and signature helpers.

Compilation and C++ Basics

Covers the basics of compilation and C++ programming, including variables, functions, loops, and debugging.

Preprocessor: Essential Tools for Modular Programming

Covers the preprocessor's role in modular programming, focusing on directives, encapsulation, and debugging tools.

Introduction to UNIX and C Programming Concepts

Covers UNIX fundamentals and introduces C programming concepts, including variables, data types, and basic operations.

Finite Differences in Advection-Diffusion

Explores the explicit 2-level scheme for advection-diffusion and the convergence of digital solutions.

Bode Diagram: Oscillatory System Synthesis

Covers the synthesis of an oscillatory system using the Bode diagram and MATLAB.

Van der Pol Oscillator

Explores the Van der Pol oscillator, its dynamic equations, and phase plane representation.

Computational Modeling of Systems

Covers computational modeling, project rules, collaboration, and site remediation projects.

Software Development: Code Refactoring and Debugging

Covers the process of code refactoring and debugging in software development.

Monte Carlo Method: Thermal Radiation

Explores the Monte Carlo method for thermal radiation and radiative energy exchange.

Labor Income Share

Analyzes a macroeconomic model focusing on labor income share and the effects of productivity shocks on GDP, consumption, investment, and stock prices.

Parametric Signal Models: Matlab Practice

Covers parametric signal models and practical Matlab applications for Markov chains and AutoRegressive processes.

Software: Types and Applications

Explores software types (desktop, mobile, web), open source vs. proprietary software, and key examples like TensorFlow and Red Hat Ansible.

Metabolic Modeling: TFA and Kinetic Models

Explores metabolic modeling using TFA and kinetic models, covering growth simulation, nutrient trade-offs, phenotypic analysis, and metabolomics integration.

Gaussian Mixture Models: Data Classification

Explores denoising signals with Gaussian mixture models and EM algorithm, EMG signal analysis, and image segmentation using Markovian models.