Science Olympiad Code Craze (HS)
- Level High School
- Contact Hours 85
- Timeframe Year
This course is designed for Science Olympiad (C) high school participants who want to compete in the Code Craze event in the 2025-2026 school year. This course covers the following major topic areas: 1. Principles of Coding 2. AI & Machine Learning 3. Cryptography 4. Python Programming 5. Quantum Computing Event participants will be tested via an interactive quiz and a coding activity.
To explore the full course, click here.
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Introduction to Programming
Karel is a dog that only knows how to move, turn left, and place tennis balls in his world. You can give Karel these commands to instruct him to do certain things. We use Karel to show you what it means to program, and allow you to focus on problem-solving. |
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Intro to AI
In this module, students will gain an understanding of the main concepts and vocabulary around AI. |
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Machine Learning
Students will learn the fundamentals of machine learning, covering its lifecycle, supervised, unsupervised, and reinforcement learning, and explore bias within learning models. |
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Training AI Models
In this hands-on module, students will learn how to train AI models using Teachable Machine and will explore the use cases for AI in various industries. |
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Risks of AI
Students will explore the ethical implications and risks of AI technology, including bias, hallucinations, security, disinformation, and legal challenges, ending in a project to create a public service announcement about AI. |
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Cryptography
Students dive into the history of cryptography systems, the motivation behind using encryption systems, and modern cryptography systems. This includes explaining the core concepts of Public Key Infrastructure and hash functions. Students will also explore the importance of digital certificates, and authentication methods. |
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Basic Python and Console Interaction
Students learn the basics of programming by writing programs that interact with users through the keyboard. |
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Conditionals
Students teach their programs to make decisions based on the information it receives. |
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Looping
Students learn how to write more efficient code by using loops as shortcuts. |
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Functions and Exceptions
Students learn how their programs can be decomposed into smaller pieces that work together to solve a problem. |
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Strings
Students learn more sophisticated strategies for manipulating text in their programs. |
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Creating and Altering Data Structures
Students learn how tuples and lists are formed and the various methods that can alter them. |
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Extending Data Structures
Students learn to build more complex programs that make use of grids and dictionaries. |
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Quantum Computing
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