Numerical Analysis
Explore differential equations, numerical integration, and root-finding methods using software tools. Learn practical techniques for solving complex mathematical problems in engineering and science.
The Mechanical Universe
Comprehensive exploration of physics principles, from classical mechanics to quantum theory, using visual aids and mathematical concepts to illuminate the workings of the universe.
Linear Regression and Linear Models
Learn powerful statistical tools: linear regression and models. Predict continuous values using various data types. Covers least squares, multiple regression, t-tests, ANOVA, and R implementation.
Logistic Regression
Learn to predict discrete outcomes using logistic regression, covering coefficients, maximum likelihood, R-squared, p-values, deviance, and practical implementation in R.
Networks, Signals and Systems
Comprehensive exploration of network theory, signals, and systems, covering elements, parameters, transforms, frequency response, synthesis, graph theory, impedance, filters, and Fourier series.
Graph Theory
Comprehensive exploration of graph theory algorithms, covering search, shortest paths, trees, topological sorting, network flow, and more, with practical implementations and problem-solving techniques.
AP Physics 1 Review with Physics Girl
Never taken physics before? Want to learn the basics of physics? Need an AP Physics 1 review before the exam? This course is for you!
Linear Algebra
In this course, you will learn systems of linear equations, Matrices, Elementary row operations, Row-reduced echelon matrices. Vector spaces, Subspaces, Bases and dimension, Ordered bases and coordinates.
Computational Fluid Dynamics
This course provides an introduction to Computational Fluid Dynamics (CFD) with an emphasis on the fundamental principles that govern the implementation of CFD in practical applications.
Multivariable Calculus
This course includes topics like differentiation and integration of the functions of two or more variables together with their various applications. This course also includes the calculus of vector functions with different applications.
Probability & Random Variables
Comprehensive exploration of probability theory, random variables, and stochastic processes, covering fundamental concepts to advanced topics like spectral analysis and adaptive filtering.
Quantum Mechanics and Applications
Explore quantum mechanics fundamentals, including wave-particle duality, Schrödinger equation, and applications in atomic physics. Develop problem-solving skills for quantum systems.
Big Data Analytics
Comprehensive exploration of big data analytics, covering programming, databases, statistics, machine learning, visualization, and cloud computing for practical applications.
Mathematics - Probability and Statistics
Comprehensive exploration of probability and statistics, covering set theory, probability laws, distributions, sampling, descriptive statistics, estimation, and hypothesis testing.
Probability and Statistics
Comprehensive exploration of probability theory, statistical distributions, sampling, estimation, and hypothesis testing, providing a solid foundation for data analysis and statistical inference.
Data Analytics with Python
Learn Python-based data analytics, covering statistics, probability, hypothesis testing, regression, ANOVA, clustering, and decision trees. Gain practical skills for data-driven decision making and statistical analysis.
Statistics and Machine Learning in R
If you want to do statistics and machine learning in R, this playlist is for you, and you only. No one else is allowed to watch it.
Geometry Lessons
Explore fundamental geometry concepts including angles, triangles, polygons, circles, and the Pythagorean theorem in this comprehensive overview of key geometric principles.
Signals and Systems
This course is a study of signals and systems, covering topics: formal definition of 'signal' and 'system', continuous and discrete signals, continuous and discrete-time systems, Linear Time-Invariant (LTI) systems, representation of continuous and discr…
Cryptography and Network Security
Explore modern cryptography, network security, and cryptanalysis techniques. Learn about symmetric and asymmetric encryption, hash functions, and secure communication protocols.
Electromagnetic Theory
Comprehensive exploration of electromagnetic theory, covering fields, potentials, Maxwell's equations, waves, and applications in waveguides and radiation. Ideal for advanced physics students.