Teacher: Instructor atl

Intro To Machine Learning Part 1-ATL-2023-01

This course introduces students to the basics of machine learning. Students will learn:

• how to apply the Problem-Solving Process to train AI bot to solve a problem. 
• Understand the different types of machine learning
• Understand how a models help computers make decision
• Train A.I Bot and an AI Lap app how to use data to make decisions and predictions with real-data.

Teacher: Instructor atl

MBlock Creating Smart Objects Through Code-ATL-2022.12

Ages: 8-12 years old

Description:

Maybe you own a smart speaker such as Google Home or Alexa at home. How does it work? In this workshop, you will use mBlock, a block-based language (derived from Scratch), with many extensions to create smart objects that will improve your life at home. This field of computer science is called “the Internet of Things” or IoT. You will use cognitive services, climate data, video sensing, text to speech, and translation services to design fun and interactive inventions. 

Teacher: Instructor atl

Intro To Comp.Sci With Python 3-ATL-2022-11

This course is designed to help students begin their computer science journey through the use of a real-world programming language – Python 3. Python is in the top 3 most loved languages by software developers and is the number one language developers want to learn, according to Stack Overflow. Students will build upon their problem-solving skills and understand computational thinking through the context of programming. They will discover how vital syntax is in a text-based languages, as well as how programs flow.

Teacher: Instructor atl

Intro to Quantum Computer ATL-2022.03

This course will cover the fundamentals of quantum computing. We will cover basic quantum algorithms and will run them on real quantum computers at IBM.  

Students must have experience programming in Python or another programming language and must have completed Algebra 1. Knowledge of Matrix addition, subtraction and multiplication is a plus. 

By the end of this course students will have a working knowledge of:

1. What Quantum Computing (QC) is, 
2. Qubits and Quantum States,
3. Quantum Circuits and Measurements, 
4. Single and Multi-Qubit gates, 
5. Entanglement, 
6. How to use IBM Qiskit and IBM Experience, and 
7. how to run quantum algorithms on IBM’s real quantum computers and simulators.

Teacher: Instructor atl

Introduction to Quantum Computing-ATL-2021.08

This course will cover the fundamentals of quantum computing. We will cover basic quantum algorithms and will run them on real quantum computers at IBM. By the end of this course students will have a working knowledge of:

• What is Quantum Computing (QC)?
• Qubits and Quantum States
• Quantum Circuits and Measurements
• Single and multi-qubit gates
• Entanglement
• Teleportation and Superdense Coding
• Deutsch-Jozsa Algorithm
• Grover’s Algorithm
• Shor’s Factoring and Period Finding Algorithm
• Quantum Fourier Transform (QFT)
• How to use IBM Qiskit and IBM Experience
• How to develop applications using quantum algorithms
• How to run quantum algorithms on IBM’s real quantum computers and simulators

Teacher: Nicole AgardTeacher: Instructor atlTeacher: Karen Brown

Learn to Code Online With Microbit-ATL-2020.06