ISEM 564 - Big Data and Machine Learning

(3 semester hours)
Prerequisites: ISEM 501 or ISEM 534, or permission of instructor
Description: This course introduces the main concepts of big data with focus on applications of big data and data sciences in business settings. The student explores several Open Big Data (OBD) sources and investigates applications of OBD in health, education, public safety, public welfare and other vital sectors. Through hands-on experiments, the student develops a significant understanding of data science and practical applications of big data. Some tools used by practitioners of data science and analytics are introduced but sophisticated mathematical or programming background is not required.