Foundations of Computer Science and Artificial Intelligence

Mastering the fundamentals of computer science and artificial intelligence is key to solving complex computational problems and understanding modern technology. This text-based course guides you through core theoretical principles and practical application concepts step by step. You will gain a clear understanding of standard algorithms, core data structures, programming logic, and fundamental AI concepts. What you will learn: Understand essential computer science terminology, basic hardware concepts, and algorithmic thinking. Explore core data structures including arrays, linked lists, stacks, queues, trees, and graphs. Analyze algorithm efficiency and time complexity using Big O notation. Learn foundational artificial intelligence concepts, machine learning paradigms, and model evaluation basics. Discover contemporary AI workflows, including prompt engineering principles and vector embeddings. Practice working through structured computational logic problems and written code examples. You will start with foundational definitions and key terminology before progressing to core algorithms, computer systems, and modern AI concepts. Designed specifically for beginners and introductory students, this course requires no prior programming experience. Start building your foundation in computer science and artificial intelligence today.