Artificial Intelligence BIT206

Explore the world of Artificial Intelligence

  • the concept of artificial intelligence (AI)
  • applications across a range of industries
 

Course Content

This course is divided into eight lessons as follows:

1.  Introduction to Artificial Intelligence

  • A Brief History of AI
  • Theory of Mind
  • TYPES OF ARTIFICIAL INTELLIGENCE
  • Three Branches of AI
  • Strong AI
  • Applied AI
  • Cognitive Simulation
  • Reasons AI Matters
  • Introduction to Natural Language Processing

2.  Ethical, Economic, and other Concerns

  • ETHICS AND ARTIFICIAL INTELLIGENCE
  • AI Ethics Principles and Guidelines
  • ETHICAL PERSPECTIVES
  • Human Rights
  • Privacy Breach

3,  Neural Networks

  • Structure of the Human Nervous System
  • Cells of the Nervous Tissue
  • Main anatomical features of Neurons
  • Neural Circuits
  • INTELLIGENCE AND ADAPTABILITY
  • Artificial Neurons
  • Input
  • Weight
  • Bias
  • Summation Function
  • Activation Function
  • ARTIFICIAL NEURAL NETWORKS
  • APPLYING ARTIFICIAL NEURAL NETWORKS
  • Digital Worm Brains
  • Control system
  • Cybernetics
  • Artificial brain cells
  • Enhanced mobility

4.  Deep Learning

  • Size
  • Width
  • Depth
  • Capacity
  • Architecture
  • UNIVERSAL APPROXIMATORS
  • Width Case
  • Depth Case
  • ABSTRACTION AND FUNCTION
  • TRAINING A DEEP NEURAL NETWORK
  • ReCaptcha
  • Pitfalls of Deep Neural Networks

5,  Machine Learning

  • ALGORITHMS
  • Structured Data
  • Practical Applications
  • Unstructured Data
  • Semi-Structured Data
  • Applying Algorithms
  • THREE TYPES OF MACHINE LEARNING
  • Supervised Machine Learning
  • Unsupervised Machine Learning
  • Reinforcement Machine Learning

6.  Business Applications

  • AI APPLICATIONS
  • Marketing
  • Customer Relationship Management
  • SOCIAL MEDIA
  • Machine Learning and Social Media Ads
  • Customer Service

7.  Application in Environmental & Primary Industries

  • Agriculture and Horticulture
  • Pest Control
  • PRECISION AGRICULTURE
  • Harvesting robots
  • Robot Tractors
  • ENVIRONMENTAL INDUSTRIES AND CLIMATE CHANGE
  • Poaching
  • Air Quality
  • Problem Based Learning (PBL) Project

8.  Industrial and Other Applications

  • INTRODUCTION
  • TRANSPORT
  • Travel and Transportation
  • Self-driving cars or automated driving systems (ADS)
  • Transport, Freight, and Logistics
  • FACTORIES
  • HEALTH SECTOR
  • Individual Health and Personalised Health Care
  • General Healthcare
  • Modelling
  • EDUCATION SECTOR
  • Training and education
  • Tutoring and Coaching
  • Plagiarism Detection and Authorship
  • LEISURE INDUSTRY
  • Entertainment
  • ENVIRONMENT MONITORING AND MANAGEMENT
  • Predicting Fire and Analysis (emergency management)

Course Duration - 100 hours

 

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Fee Information (S2)
Prices in Australian Dollars

PlanAust. PriceOverseas Price
A 1 x $726.00  1 x $660.00
B 2 x $396.00  2 x $360.00

Note: Australian prices include GST. 
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