Lectures related to Python Loops: Odd Numbers Sum

Excitonic Devices: Modeling and Applications

Covers excitonic device modeling and exciton control using 2D materials.

Offers a comprehensive introduction to Data Science, covering Python, Numpy, Pandas, Matplotlib, and Scikit-learn, with a focus on practical exercises and collaborative work.

Decision Trees: Classification

Explores decision trees for classification, entropy, information gain, one-hot encoding, hyperparameter optimization, and random forests.

Binary Sentiment Classifier Training

Covers the training of a binary sentiment classifier using an RNN.

Carbonate equilibrium

Explores the equilibrium in carbonate systems, including species like H₂CO3 and HCO3, with examples and exercises.

Numerical Analysis: Stability in ODEs

Covers the stability analysis of ODEs using numerical methods and discusses stability conditions.

Harmonic Forms: Main Theorem

Explores harmonic forms on Riemann surfaces and the uniqueness of solutions to harmonic equations.

Boolean Algebra: Properties and Optimization

Covers Boolean algebra properties, optimization techniques, and the importance of valid groups in Karnaugh maps.

Boolean Algebra: Properties and Optimization

Explores Boolean algebra properties and optimization techniques using Karnaugh diagrams and De Morgan's theorems.

Conformal Transformations: Theory and Applications

Explores the theory and applications of conformal transformations, covering special conformal transformations and isomorphic transformations.

Ergo: ergometry figures

Covers the analysis of ergometry figures using Excel and the interpretation of respiratory and cardiovascular parameters.

Semiconductor Devices II: Defects Engineering

Covers the analysis of measurements and defects engineering in semiconductor devices, including density of states and defect probing.

Boolean Algebra: Properties and Theorems

Covers the properties and theorems of Boolean algebra in logic systems.

Programming Basics: Control Structures and Functions

Introduces fundamental programming concepts in Python, focusing on control structures like conditions and loops.

Observing Inhabited Spaces

Includes an exercise where students analyze and comment on photos of inhabited spaces.

Numerical Analysis of Differential Equations

Covers the numerical analysis of differential equations, focusing on methods and stability conditions.

Convergence of Sequences: Exercise 7 Series 5

Covers the convergence of sequences, focusing on Exercise 7 from Series 5.

Linear Algebra: Surjection and Image

Explains surjection and image concepts in linear algebra with illustrative examples and exercises.

Cable Forces: Determining Weight and Efforts

Explores determining weight and forces in cable systems using subsystems and analyzing force distributions.

Control Flow in Python: Conditional Statements and Loops

Covers control flow in Python, focusing on conditional statements and loops.