Skip to main content
Back to top
Ctrl
+
K
Introduction
COMPUTER SCIENCE
CS 300: Operating Systems
OSTEP 30 - Condition Variables
ZyBooks 10.1 - Security Goals and Threats
CS 301: Database Management Systems
18 - Relational Algebra
24 - NoSQL Databases
25 - NoSQL Databases
26 - MongoDB
27 - MongoDB
28 - MongoDB
29 - Indexes
37 - APIs
39 - APIs
CS 403: Programming Languages
1 - Introduction
2 - Introduction
3 - Syntax
4 - Semantics
5 - Parser
6 - Variables
7 - Types
8 - Types
9 - Assignment
10 - Selection
11 - Loops
12 - Subprograms
13 - Subprograms
14 - Subprogram Implementation
16 - Subprogram Implementation
18 - ADT
19 - ADT
20 - OOP
21 - OOP
22 - Smalltalk
23 - Smalltalk
24 - Smalltalk
25 - Smalltalk
26 - Functional
27 - Functional
29 - Functional
30 - Functional
32 - Functional
33 - Functional
34 - Logical
35 - Logical
36 - Logical
37 - Concurrency
38 - Concurrency
39 - Exception Handling
COPL 3 - Describing Syntax and Semantics
CS 438: Computer Communication & Networks
1 - Computer Networks and the Internet
2 - Application Layer
3 - Transport Layer
4 - Network Layer: Data Plane
5 - Network Layer: Control Plane
6 - Link Layer and LANs
CS 470: Computer Algorithms
1 - Growth of Functions
2 - Divide-and-Conquer
3 - Computational Geometry
4 - Dynamic Programming
5 - Graph Algorithms
34 - NP-Completeness
CS 483: Computational Foundations of ML
1 - Introduction
2 - Probability: Univariate Models
3 - Probability: Multivariate Models
4 - Statistics
9 - Linear Discriminant Analysis
13 - Neural Networks for Tabular Data
16 - Exemplar-based Methods
CS 491: Autonomous Vehicles
ROS Tutorials
Xbox Controller Setup
MATHEMATICS
MATH 457: Stochastic Processes I
1 - Intro
2 - Review
3 - Markov Chains
4 - Qualitative Behavior of Chains
5 - Probabilistic Study of Qualitative Behavior
6 - Long Term Behavior of a Chain
APPLIED STATISTICS
ST 531: Data Mining I
ML1 - Intro
ML2 - Data Preprocessing and Algorithm Selection
ML4 - Neural Networks
ML6 - Model Assessment and Deployment
ST 552: Applied Regression Analysis
1 - Intro
2 - SLR
3 - MLR
TB1 - Intro
TB2 - SLR
TB6 - Diagnostics and Transformations for MLR
TB7 - Variable Selection
TB8 - Logistic Regression
ST 553: Multivariate Regression Analysis
0 - Matrix Algebra Primer
1 - Sample Geometry and Random Sampling
2 - Multivariate Normal Distribution
ST 554: Mathematical Statistics I
Discrete Uniform Distributions
Hypergeometric Distribution
Bernoulli Distribution
Binomial Distribution
Geometric Distribution
Negative Binomial Distribution
Poisson Distribution
Continuous Uniform Distribution
Gamma Distribution
Exponential Distribution
Chi-Squared
\((\chi^2)\)
Distribution
Beta Distribution
Normal Distribution
Joint Distributions
Correlation and Covariance
Formulas
Homework Problems
ST 555: Mathematical Statistics II
Multivariate Distributions
Homework 1
ST 560: Statistical Methods
8 - Interval Estimation
9 - Hypothesis Tests
10 - Inference About Means and Proportions with Two Populations
11 - Inferences About Population Variances
13 - Experimental Design and Analysis of Variance (ANOVA)
14 - Simple Linear Regression
GENERAL
EC 110: Microeconomics
1 - Ten Principles of Economics
3 - Interdependence and the Gains from Trade
4 - The Market Forces of Supply and Demand
5 - Elasticity and Its Applications
6 - Supply, Demand, and Government Policies
7 - Consumers, Producers, and the Efficiency of Markets
8 - The Costs of Taxation
9 - International Trade
10 - Externalities
14 - The Costs of Production
15 - Firms in Competitive Markets
16 - Monopoly
17 - Monopolistic Competition
GY 101: Atmospheric Processes & Patterns
1 - The Nature of Physical Geography
2 - Atmospheric Energy and Matter
3 - Atmospheric Motion
4 - Atmospheric Moisture
GY 102: Earth Surface Processes
8 - Water Resources
9 - Understanding Landscapes
10 - Plate Tectonics and Regional Features
12 - Weathering and Mass Wasting
13 - Streams and Flooding
14 - Glaciers
16 - Soils
17 - Ecosystems
18 - Biomes
OTHER
Designing Machine Learning Systems
1 - Overview of ML Systems
2 - Introduction to ML Systems Design
Docker
FastAPI
0 - Pre-reqs
1 - First Steps
2 - Request Body
3 - Query Parameters and String Validation
4 - Path Parameters and Numeric Validations
5 - Query Parameter Models
6 - Body: Multiple Parameters
7 - Body: Fields
9 - Declare Request Example Data
10 - Extra Data Types
11 - Cookie Parameters
12 - Header Parameters
15 - Response Model: Return Type
pytest
1 - Getting Started
2 - Invoking pytest
3 - Asssertions
SQLAlchemy
Youtube to MP3 in Python
Repository
Open issue
.md
.pdf
GY 101: Atmospheric Processes & Patterns
GY 101: Atmospheric Processes & Patterns
#
