People Innovation Excellence


Learning Outcomes:

On successful completion of this course, students will be able to: explain the basic of analytics concept and AI in business; classify  the predictive analytics or Machine Learning process, methods and technique in business; examine the prescriptive analytics and big data in business; analyze the use of robotics, social networks, AI and IOT in business.


  1. Overview of Business Intelligence, Analytics, Data Science, and Artificial Intelligence: Systems for Decision;
  2. Artificial Intelligence: Concepts, Drivers, Major Technologies, and Business Applications;
  3. Nature of Data, Statistical Modeling, and Visualization;
  4. Data Mining Process, Methods, and Algorithms;
  5. Machine-Learning Techniques for Predictive Analytics;
  6. Deep Learning and Cognitive Computing;
  7. Text Mining, Sentiment Analysis, and Social Analytics;
  8. Prescriptive Analytics: Optimization and Simulation;
  9. Big Data, Cloud Computing, and Location Analytics: Concepts and Tools;
  10. Robotics: Industrial and Consumer Applications;
  11. Group Decision Making, Collaborative Systems, AI Support; Knowledge Systems: Expert Systems, Recommenders, Chatbots, Virtual Personal Assistants, and Robo Advisors;
  12. The Internet of Things as a Platform for Intelligent Applications.

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