Module 1 : Introduction to Artificial
Intelligence and it’s Applications
1
, Topics to be covered
• History and Foundation of AI
• Intelligence, and its type,
• Water Jug Problem,
• Categorization of Artificial Intelligent based Systems.
• Applications to various domains and Current trends in AI
• Introduction to Data Science: Definition, History, and Related Terminologies,
• Types of Analytics,
• Applications of Data Science
• Data Science Process Models.
2
, Artificial Intelligence
• “Artificial Intelligence is the science and engineering of making intelligent
machines”.
• Artificial Intelligence is the study of how to make computers do things
which, at the moment, people do better.
• Artificial Intelligence is the branch of computer science that is concerned
with the automation of intelligent behavior.
• Artificial Intelligence is the study and design of intelligent agents,
where an intelligent agent is a system that perceives its environment and
takes actions that maximize its chance of success.
3
Intelligence and it’s Applications
1
, Topics to be covered
• History and Foundation of AI
• Intelligence, and its type,
• Water Jug Problem,
• Categorization of Artificial Intelligent based Systems.
• Applications to various domains and Current trends in AI
• Introduction to Data Science: Definition, History, and Related Terminologies,
• Types of Analytics,
• Applications of Data Science
• Data Science Process Models.
2
, Artificial Intelligence
• “Artificial Intelligence is the science and engineering of making intelligent
machines”.
• Artificial Intelligence is the study of how to make computers do things
which, at the moment, people do better.
• Artificial Intelligence is the branch of computer science that is concerned
with the automation of intelligent behavior.
• Artificial Intelligence is the study and design of intelligent agents,
where an intelligent agent is a system that perceives its environment and
takes actions that maximize its chance of success.
3