Real World Applications of Artificial Intelligence and Data Science

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REAL WORLD APPLICATIONS 1719506
FREE PDF 1719506
Code: 1719506 Credits: 4 Semester 1 AIAD

Real World Applications of Artificial Intelligence and Data Science

Get the full GTU study material, English & Gujarati textbook PDFs, syllabus curriculum, and solved previous year question papers.

Real World Applications of Artificial Intelligence and Data Science Syllabus — Unit-wise Content

The official GTU curriculum for Real World Applications of Artificial Intelligence and Data Science (subject code 1719506) as prescribed for AIAD · Semester 1 divides the course into 4 units, covering 42 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.

Download the official syllabus PDF (1719506)

Unit 1 Technical and Economic Landscape of AI with its Applications

10 lecture hours

  • The AI system lifecycle
  • AI research
  • Economic characteristics of AI, Private equity investment in AI start-ups
  • Broader trends in development and diffusion of AI AI in transportation with autonomous vehicles
  • AI in agriculture
  • AI in financial services
  • AI in marketing and advertising
  • AI in science
  • AI in health
  • AI in criminal justice
  • AI in security
  • AI in the public sector
  • AI applications using augmented and virtual reality

Unit 2 AI for Healthcare Data

10 lecture hours

  • Shifting from volume to value
  • Evidence-based medicine
  • Personalized medicine
  • Connected medicine
  • Medication adherence
  • Accessible diagnostic tests
  • Smart implantable
  • Digital health and therapeutics
  • Incentivized Wellness
  • Mining records
  • Conservational AI, Making better doctors
  • Virtual and Augmented reality
  • Robot assisted surgery
  • Inpatient care
  • Smart homes
  • Smart hospitals
  • Reductionism BRANCH: COMPUTER ENGINEERING (ARTIFICIAL INTELLIGECNE AND DATA SCIENCE) Page 2

Unit 3 AI for Marketing Data

10 lecture hours

  • Solving the marketing problem
  • Using AI to get the attention
  • Using AI to persuade
  • Using AI for retention
  • The AI marketing platform

Unit 4 Case Study

10 lecture hours

  • AI and Data Science in Practice Alphabet
  • Uber, GE, NASA
  • Tesla Textbook: 1
  • Artificial Intelligence in Society OECD Publishing
  • Machine Learning and AI for Healthcare by Arjun Panesar Apress
  • Artificial Intelligence for Marketing by Jim Sterne WILEY
  • Artificial Intelligence in Practice by Bernard Marr and Matt Ward WILEY

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