KNOWLEDGE-BASED AI: COGNITIVE SYSTEMS (4 SCU)

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.

Topics:

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.