Explore the six frontier technologies

Training data, simple classifiers, predictions and responsible AI.

On paper, label 12 fictional messages as “helpful” or “spam”. Invent two classification rules. Test both on four new messages and identify mistakes.

Build a small Python program that checks keywords in sample messages. Add a test set and measure correct and incorrect predictions. Explain why this is not a sophisticated AI model.

Authentication, malware, phishing, network protection and ethical security practice.

Review five fictional security messages. Highlight warning signs, rank the risks and recommend safe responses; never test real people or accounts.

Create a password-strength checklist or a Python quiz that teaches how to spot suspicious messages without storing real credentials.

Classical bits, qubits, measurement and probability — with clear warnings that everyday coin tosses are analogies, not quantum computers.

Compare a classical bit with a qubit. Use repeated coin tosses to investigate probability, then write down two important ways the analogy fails.

Use Python random simulations to record 100 outcomes and chart their frequencies. Research why genuine quantum behaviour cannot be recreated by this simple simulation.

DNA sequence representations, bioinformatics, matching patterns and ethical scientific data use.

Compare two fictional DNA strings. Count matching positions, mark differences and suggest why a short match alone cannot prove a biological relationship.

Write a Python function that counts occurrences of a short DNA pattern in a sample sequence. Add tests for missing data and case sensitivity.

Binary states, logic gates, transistors and the distinction between hardware and software.

Create a truth table for AND, OR and NOT. Explain how combining simple rules produces more complex behaviour.

Use Python Boolean expressions to simulate a simple digital circuit. Test all input combinations before explaining its limitations.

Packets, transmission, wireless networking, latency and reliability.

Compare two routes through a fictional network and calculate their total link delays. Discuss why real-world delays can vary.

Model a five-node network in Python and identify the lowest-total-delay route. Extend your model to show a failed connection.