Applied Artificial Intelligence
| Course Code | IOTH-728 |
|---|---|
| Lecture hours per week | 2 |
| Lab hours per week | 2 |
| Course Availability | Open |
| Description | In this course, students will learn the concepts of Artificial Intelligence (AI) and its subfields. Internet of Things (IoT) devices create a very connected world and instant access to information. In this course, students will learn how information can be more beneficial with AI. Students will be introduced to several types of machine learning and deep learning algorithms and how to apply them in the real time IoT data set. The concepts of underfitting, overfitting, cross-validation in machine learning will be covered throughout the course. Students will have opportunity to practice building an end-to-end project using machine learning and deep learning algorithms for the IoT dataset. Students will also investigate applications of AI to various areas including smart cities and homes, autonomous vehicles, smart monitoring systems, farming, health care, etc. Students will gain hands-on experience by developing automated IoT systems with the help of AI and also by using cloud-based services to apply machine learning and deep learning models for IoT dataset. |