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CSC 522 Automated Learning and Data Analysis
This course provides an introduction to concepts and methods for extracting knowledge or other useful forms of information from data. This activity, also known under names including data mining, knowledge discovery, and exploratory data analysis, plays an important role in modern science, engineering, medicine, business, and government. Students will apply supervised and unsupervised automated learning methods to extract patterns, make predictions and identify groups from data. Students will also learn about the overall process of data collection and analysis that provides the setting for knowledge discovery, and concomitant issues of privacy and security. Examples and projects introduce the students to application areas including electronic commerce, information security, biology, and medicine. Students cannot get credit for both 颁厂颁听422 and 颁厂颁听522.
Typically offered in Fall and Spring
Data Science Foundations (Certificate)
/graduate/engineering/computer-science/data-science-foundations-certificate/
This online/on-campus program is well suited for working professionals who have some formal training in Computer Science and/or Statistics and wish to acquire a basic understanding of data science.聽Whether to improve their on-the-job experience or career prospects, one can expect to acquire a basic understanding of data science through this certificate program. Applicants admitted to the certificate program can enroll part-time, completing one class per semester, or enroll full-time at 9 or 12 credit hours. 聽