About this course
Introduction to Artificial Intelligence Course
Introduction:
The term artificial intelligence stirs emotions. For one thing there is our fascination with intelligence, which seemingly imparts to us humans a special place among life forms. Questions arise such as “What is intelligence?”, “How can one measure intelligence?” or “How does the brain work?”. All these questions are meaningful when trying to understand artificial intelligence. However, the central question for the engineer, especially for the computer scientist, is the question of the intelligent machine that behaves like a person, showing intelligent behaviour.
Course Objectives:
§ To make participants familiar with Intelligence & its history.
§ To make participants understand brain science & problem-solving.
§ To show participants what changes AI brings to our society.
§ Participants will be able to work with Propositional Logic (Syntax, Semantics, etc.).
Introduction:
The term artificial intelligence stirs emotions. For one thing there is our fascination with intelligence, which seemingly imparts to us humans a special place among life forms. Questions arise such as “What is intelligence?”, “How can one measure intelligence?” or “How does the brain work?”. All these questions are meaningful when trying to understand artificial intelligence. However, the central question for the engineer, especially for the computer scientist, is the question of the intelligent machine that behaves like a person, showing intelligent behaviour.
Course Objectives:
§ To make participants familiar with Intelligence & its history.
§ To make participants understand brain science & problem-solving.
§ To show participants what changes AI brings to our society.
§ Participants will be able to work with Propositional Logic (Syntax, Semantics, etc.).
Course Outlines:
§ Introduction
1. What is AI?
2. Brain Science & Problem Solving
3. Turing Test & Chatterbots
§ AI History
1. The First Beginning
2. Logic Solves
3. The New Connectionism
4. Reasoning Under Uncertainty
5. Distributed, Autonomous & Learning Agents
6. AI Revolution
§ AI & Society
1. AI & Transportations
2. Robotics
§ Knowledge-Based system
§ Propositional Logic
Who should attend?
§ Students
§ IT Professionals
Learning Outcomes:
This course is based on the Artificial Intelligence introduction. It will give You More Career Options in fields like Big Data & Robotics. The course will prepare you for the evolution of AI.
§ Propositional Logic
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