ISEM 564 - Cloud Computing, Big Data Applications and Machine Learning

(3 semester hours)
Prerequisites: None
Description: This course concentrates on the practical aspects of Cloud Computing and Big Data applications, architectures and analytics. Topics include data models, query languages, storage, retrieval techniques, distributed computing challenges. Classroom projects expose the student to cloud-based and real-world big data applications in business, healthcare, and public safety. The student will grasp the connection between big data and cloud computing and various components such as machine learning and data security. By utilizing cloud services, the student can learn about different cloud platforms.