Conquer Computer Science: AI, Robots, Databases (Part 4/5)

Explore how artificial intelligence works and its main characteristics by using ai tools like ChatGPT and Perchance to create animated video explanations with licensed content and notes.

Explore the basics of artificial intelligence, including narrow versus general ai and how machines learn from data through machine learning and deep learning, like image recognition. Compare human and ai.

Explore the core characteristics of artificial intelligence, including learning, reasoning, perception, adaptability, autonomy, and interaction, and compare narrow AI, general AI, and strong AI.

Explore expert systems, a type of AI that mimics human experts using a knowledge base and inference engine to solve domain-specific problems.

Learn how machine learning enables systems to learn from data, train and test models, and make predictions, using supervised, unsupervised, and reinforcement methods.

Explore how artificial intelligence tools like ChatGPT process input, predict text, and generate human-like responses, using training data, neural networks, and feedback loops, while noting limitations and ethics.

AI errors arise because tools like chatgpt lack true understanding, rely on training data, may introduce biases or hallucinations, and have no fact checking; verify information with reliable sources.

Explores exam-style questions on artificial intelligence characteristics, contrasts ChatGPT with human teacher expectations, and shows how a robot uses learning, data collection, decision making, and adaptation to solve puzzles.

Explore robotics as the fusion of engineering and computer science, designing autonomous mechanical devices and software bots using algorithms and programming to perform work, from Capek's R.U.R. to modern programming.

Identify robots' core characteristics—physical structure, power source, sensors, actuators, and a microprocessor controller—and compare autonomous operation and movement types with software bots like web crawlers and chatbots.

Explore the diverse roles of robots across space, home, industry, and medicine, from automating repetitive tasks to aiding surgery, farming, and emergency response, while considering ethics and safety.

Explore automated systems as hardware–software hybrids that perform tasks without human input, from embedded devices to citywide grids, highlighting components, power, instructions, and oversight.

Explore how automated systems combine hardware components, including sensors, a microprocessor, and actuators, with software and control instructions to process input and generate output.

Explore how sensors and actuators drive embedded systems, converting analog signals to digital and triggering real-world responses. GPS, gyroscopic sensor, accelerometer, ultrasonic proximity sensor, and moisture-driven feedback controls irrigation.

Explore real-world automated systems across doors, lighting, transportation, irrigation, and industrial plants, focusing on sensors, microprocessors, actuators, fail-safes, human overrides, and risks.

Learn how databases organize data with tables, rows, and keys, explore relational models, normalization, schemas, and relationships from one-to-one to many-to-many.

Discover common database data types, from text and alphanumeric fields to fixed-length char, boolean, two-state values, and media types, plus numeric types like integer, decimal for currency, float, and date/time.

Explore database keys and normalization, focusing on primary keys as unique record identifiers and foreign keys that link tables to reveal one-to-many and many-to-many relationships.

Learn the basics of structured query language (SQL) and how to write SQL scripts to query databases using select, from, where, and order by, with examples from customers and orders.

Explore the fundamentals of computer science, from hardware and software to binary representation and data transmission across the internet, with links to exam prep and free resources.