11 Courses
Zookeepers Coding Adventure-ATL-2023.05
Black Boys Code Technology ZOO KEEPER's Adventure 2 Week Course
Coders Defend your Galaxy Game Development-ATL-2023.04
Black Boys Code Technology After School Program Semester 3 – Summary
After school program for Black boys ages 10-14, allowing them to explore the world of computer science & coding.
As a continuation of our Learning Math Through Code Program, this 11-week program will build on the core topics learned in previous sessions.
Intro to Quantum Computer ATL-2023.03
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:
- What Quantum Computing (QC) is,
- Qubits and Quantum States,
- Quantum Circuits and Measurements,
- Single and Multi-Qubit gates,
- Entanglement,
- How to use IBM Qiskit and IBM Experience, and
- how to run quantum algorithms on IBM’s real quantum computers and simulators.
Intro to Machine Learning Part 3-ATL-2023.03
This course introduces students to the basics of machine learning (this Part 2). 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.
Intro to Machine Learning Part 2-ATL-2023-02
This course introduces students to the basics of machine learning (this Part 2). 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.
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.
MBlock Creating Smart Objects Through Code-ATL-2022.12
Ages: 8-12 years old
Description:
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.
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:
- What Quantum Computing (QC) is,
- Qubits and Quantum States,
- Quantum Circuits and Measurements,
- Single and Multi-Qubit gates,
- Entanglement,
- How to use IBM Qiskit and IBM Experience, and
- how to run quantum algorithms on IBM’s real quantum computers and simulators.
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
