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Data science is a multidisciplinary field that uses statistics, programming, and domain expertise to extract knowledge and insights from data to solve problems and make predictions. It involves a dynamic process of collecting, cleaning, analyzing, and modeling large datasets to find patterns, inform decisions, and understand complex phenomena. Key tools include programming languages like Python, statistical methods, machine learning, and data visualization, all applied within a specific industry or field.

Artificial Intelligence (AI) is the field of computer science focused on creating systems that can perform tasks requiring human intelligence, such as learning, reasoning, problem-solving, and perception. AI systems learn from vast amounts of data, recognize patterns, and use complex algorithms to make decisions and solve problems, often automating processes or providing personalized recommendations in fields like healthcare, finance, and transportation. Key subfields include machine learning and neural networks, and common examples range from virtual assistants like Siri and chatbots to self-driving cars and generative AI models

This course explores the fundamental law of arithmetic, aiming to equip students with a profound understanding of this subject. Arithmetic states that every integer greater than 1 is either prime itself or can be uniquely represented as a product of prime numbers, regardless of the order of the factors. In mathematics, the fundamental theorem of arithmetic, also called the unique factorization theorem and prime factorization theorem, states that every integer greater than 1 is prime or can be represented uniquely as a product of prime numbers, up to the order of the factors.