Welcome! This session provides a concise introduction to the fundamentals of neural networks, a foundational concept in artificial intelligence and machine learning🧠🤖. Participants will learn the basic structure of neural networks, including neurons, layers, weights, and activation functions. The session will also cover how neural networks are trained using data through processes such as forward propagation and backpropagation. This session's going to be a lot of fun. Look forward to seeing you there!

Have you ever wondered what a quantum computer is? Or what it does? This course intends to provide a basic introduction to quantum computation. Over the course of three sessions, we'll go over superposition, cryptography, and we'll wrap up by going over practical applications of quantum computers. I'll primarily use this article from IBM to guide our discussions: [](https://www.ibm.com/think/topics/quantum-computing) [https://www.ibm.com/think/topics/quantum-computing](https://www.ibm.com/think/topics/quantum-computing) [](https://www.ibm.com/think/topics/quantum-computing) Looking forward to seeing you there!

Are you confused on how to craft a meaningful essay for your AP World, APUSH, or AP Euro exam? Don't worry! In this class, we'll cover the thinking process, and how to bring an idea to the paper. We'll cover: 1. Crafting thesis statements! 2. Structuring your essay! 3. Any other questions you may have on writing.

We'll go over any topic in Algebra 1 that you may feel uncomfortable with.

I will primarily cover the units listed in the Pre-Algebra section in khan academy:[https://www.khanacademy.org/math/pre-algebra](https://www.khanacademy.org/math/pre-algebra) However, this course is also open to learners that need homework help and test-prep help. We will cover simple distribution, factorization, proportionality, and any other questions you may have. We can stick to the curriculum or go over any burning questions you may have. This is an introductory course. All you really need is a pencil, paper, and the will to learn