Computer Science Learning
Introduction
Introduction
Symbols of Mathematics
Introduction to Probability
Unit 1: Probability models and axioms
Unit 2: Conditioning and independence
Unit 3: Counting
Multivariable Calculus
Unit 1: Thinking about multivariable functions
Unit 2: Derivatives of multivariable functions
Algorithms: Part II
Week 1 - Undirected Graph & Directed Graph
Algorithms: Part I
Week 1 - Union-Find & Analysis of Algorithms
Week 2 - Stacks and Queues & Elementary Sorts
Week 3 - Mergesort & Quicksort
Week 4 - Priority Queues & Elementary Symbols
Week 5 - Balanced Search Trees
Week 6 - Hash Tables
Introduction to Software Design and Architecture
Design Pattern
Calculus Two: Sequences and Series
Week 1 - Sequences
Week 2 - Series
Week 3 - Convergence Tests
Week 4 - Alternating Series
Week 5 - Power Series
Week 6 - Taylor Series
LAFF Linear Algebra
Week 1 - Vectors in Linear Algebra
Week 2 - Linear Transformations and Matrices
Week 3 - Matrix-Vector Operations
Week 4 - Matrix-Vector to Matrix-Matrix Multiplication
Week 5 - Matrix- Matrix Multiplication
Week 6 - Gaussian Elimination
Week 7 - More Gaussian Elimination and Matrix Inversion
Week 8 - More on Matrix Inversion
Week 9 - Vector Spaces
Week 10 - Vector Spaces, Orthogonality, and Linear Least-Squares
Week 11 - Orthogonal Projection, Low Rank Approximation, and Orthogonal Bases
Week 12 - Eigenvalues and Eigenvectors
Stanford Machine Learning
Week 1 - Introduction
Week 2 - Linear Regression with Multiple Variables
Week 3 - Logistic Regression & Regularization
Week 4 - Neural Networks: Representation
Week 5 - Neural Networks: Learning
Week 6a - Advice for Applying Machine Learning
Week 6b - Machine Learning System Design
Week 7 - Support Vector Machines
Week 8 - Unsupervised Learning & Dimensionality Reduction
Week 9a - Anomaly Detection
Week 9b - Recommender Systems
Week 10 - Large Scale Machine Learning
Week 11 - Application Example: Photo OCR
Calculus One
Week 2-3 - Functions & Limits
Week 4 - The Beginning of Derivatives
Week 5 - Techniques of Differentiation
Week 6 - Chain Rule
Week 7 - Derivatives of Trigonometric Functions
Week 8 - Derivatives in the Real World
Week 9 - Optimization
Week 10 - Linear Approximation
Week 11-12 - Antidifferentiation & Integration
Week 13 - Fundamental Theorem of Calculus
Week 14 - Substitution Rule
Week 15 - Techniques of Integration
Week 16 - Applications of Integration
Computational Thinking
Lecture 1 - Optimization and Knapsack Problem
Lecture 2 - Decision Trees and Dynamic Programming
Exercise: Power Set Function
Lecture 3 - Graphs
Lecture 4-5 - Plotting
Lecture 6-7 - Stochastic Programs & Inferential Statistics
Lecture 8 - Monte Carlo Simulation
Lecture 9 - Sampling and Standard Error
Lecture 10-11 - Experimental Data
Lecture 12 - Machine Learning
Lecture 13 - Statistical Abuses
Effective Thinking Through Mathematics
Note
Week 4 (Telling the Story of Infinity)
Week 5 (Telling the Story of Euler Circuit Theorem)
CS50 Introduction to Computer Science
Week 1 - C
Week 2 - Arrays
Week 3 - Algorithms
Week 4 - Memory
Week 5 - Data Structures
Week 6 - HTTP
Week 7-10 - Machine Learning/Python/SQL/Javascript
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Unit 3: Counting
Unit 3: Counting
1.
Lec. 4: Counting
Unit 3: Counting
Lec. 4: Counting
1. Lec. 4: Counting
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