Artificial Intelligence - Lec 1 by Harsh Pandya
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This document provides an overview of artificial intelligence (AI) including definitions of intelligence and AI, a brief history of AI, and discussions of different realms and capabilities of AI. It introduces AI instructor Harsh Pandya and teaching assistant Taylor Pospisil, defines intelligence and describes designing machines that think and act rationally. The document outlines some important developments in AI from the 8th century BC to modern neural networks and deep learning. It also introduces various subdomains of AI like natural language processing, computer vision, robotics, and decision making systems.
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In this slide, I just tried to give an overview of artificial intelligence.please comment if anything valuable thing that can be added to it. suggestions and corrections are welcome.
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Syllabus
Chapter-1
Introduction to objective, scope and outcome the subject
Chapter 2
Introduction: Scope and Specialization of Civil Engineering, Role of civil Engineer in Society, Impact of infrastructural development on economy of country.
Chapter 3
Surveying: Object Principles & Types of Surveying; Site Plans, Plans & Maps; Scales & Unit of different Measurements.
Linear Measurements: Instruments used. Linear Measurement by Tape, Ranging out Survey Lines and overcoming Obstructions; Measurements on sloping ground; Tape corrections, conventional symbols. Angular Measurements: Instruments used; Introduction to Compass Surveying, Bearings and Longitude & Latitude of a Line, Introduction to total station.
Levelling: Instrument used Object of levelling, Methods of levelling in brief, and Contour maps.
Chapter 4
Buildings: Selection of site for Buildings, Layout of Building Plan, Types of buildings, Plinth area, carpet area, floor space index, Introduction to building byelaws, concept of sun light & ventilation. Components of Buildings & their functions, Basic concept of R.C.C., Introduction to types of foundation
Chapter 5
Transportation: Introduction to Transportation Engineering; Traffic and Road Safety: Types and Characteristics of Various Modes of Transportation; Various Road Traffic Signs, Causes of Accidents and Road Safety Measures.
Chapter 6
Environmental Engineering: Environmental Pollution, Environmental Acts and Regulations, Functional Concepts of Ecology, Basics of Species, Biodiversity, Ecosystem, Hydrological Cycle; Chemical Cycles: Carbon, Nitrogen & Phosphorus; Energy Flow in Ecosystems.
Water Pollution: Water Quality standards, Introduction to Treatment & Disposal of Waste Water. Reuse and Saving of Water, Rain Water Harvesting. Solid Waste Management: Classification of Solid Waste, Collection, Transportation and Disposal of Solid. Recycling of Solid Waste: Energy Recovery, Sanitary Landfill, On-Site Sanitation. Air & Noise Pollution: Primary and Secondary air pollutants, Harmful effects of Air Pollution, Control of Air Pollution. . Noise Pollution Harmful Effects of noise pollution, control of noise pollution, Global warming & Climate Change, Ozone depletion, Greenhouse effect
Text Books:
1. Palancharmy, Basic Civil Engineering, McGraw Hill publishers.
2. Satheesh Gopi, Basic Civil Engineering, Pearson Publishers.
3. Ketki Rangwala Dalal, Essentials of Civil Engineering, Charotar Publishing House.
4. BCP, Surveying volume 1
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- 2. Who is Intelligent? And why? • What is Intelligence? • What is Artificial Intelligence? • History of AI
- 3. Intelligence Knowledge Logical Reasonable Or just Human?
- 4. Artificial Intelligence Designing machines that: Think like human Act like human Think Rationally Act Rationally Being rational means maximally achieving your pre-defined goals
- 5. Why not mimic human brain? “Brains are to Intelligence as wings are to flight” Brains are good at rational thinking but not perfect
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- 9. Footprints of AI 1943, McCulloch & Pitts: Boolean circuit model of brain 1950, Alan Turing published “Computing Machinery and Intelligence” introduced concept of learning in machines by letting them alter their program 1950s, Samuel's checkers program, Newell & Simon's Logic Theorist, Gelernter's Geometry Engine 1956: Dartmouth meeting: the term “Artificial Intelligence” adopted 1965: Robinson's complete algorithm for logical reasoning
- 10. Footprints of AI 1980-88: Expert systems industry booms 1988-93: Expert systems industry busts: “AI Winter” 1990s: Resurgence of probability, focus on uncertainty Neural Networks became more popular, Agents and learning systems bloomed 1997, Deep Blue beats Gary Kasparov
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- 16. Decision making systems Scheduling, e.g. airline routing, military Route planning, e.g. Google maps Medical diagnosis Web search engines Credit card fraud detection Product recommendations / Pop up ads
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Editor's Notes
- Greetings
- We shall be focusing on act rationally school of thought
- 1950 paper: Computing machinery and intelligence
- Would patrol island 3 times a day