Applied Artificial Intelligence is a new professional graduate program in Electrical & Computer Engineering (ECE) leading to MS in Computer Engineering with a specialization in Applied Artificial Intelligence. Curriculum includes basic and advanced concepts in machine learning, deep learning, big data, and cloud technologies. It will help students identify and solve complex problems from various domains like IoT, Sensors, Robotics, etc. As part of this track, students will learn full data science life cycle and its application to various domains.
Machine learning courses are focused on the implementation of regression, classification, and clustering algorithms. Deep learning courses are focused on the application of image processing and sequencing/time series data using Convolution Neural Network and Recurrent Neural Network algorithms. Students will also learn the fundamentals of big data technologies and its applications to large scale data sets.
Students will learn data storage using Hadoop Distributed File System (HDFS), apply batch processing, and perform in-memory analytics using Spark. They will also learn about Kafka message broker to import data and No-SQL database like Cassandra or Mongo DB.