10 courses with the subject DAT, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
DAT 1100Introduction to Data Science1
Offered: Every fall semester Describes the field of data science and data science careers. Students will read current media or journal articles involving data science including ethical and security issues, and present written and oral analyses.
Offered: Every spring semester An introduction to cryptography, security management, network and computer security, and cloud security. Topics covered include cybersecurity, fundamental security design principles, web and database security; as well as common cryptography algorithms and hashing functions.
Offered: Every spring semester Students will explore the methodologies for discovering patterns in datasets such as classification, clustering associations, and anomaly detection. Opportunities will be available to experiment with data mining tools such as R, Weka, or Oracle Data Miner. The seminar will conclude with both oral and written presentations with appropriate data visualizations.
DAT 2200 with a grade of C- or better and MAT 3360 with a grade of C- or better
DAT 3380Seminar II4
Offered: Every fall semester Practical experience working on real problems under the supervision of a faculty member experienced in data science. The seminar will conclude with both oral and written presentations with appropriate data visualizations.
in the internship; completion of internship contract with the Director of Career and Personal Development, including required signatures Offered: Every semester as needed This course offers students the opportunity to apply their theoretical knowledge to practical experiences in the field and learn about vocational options in data science. For information on policies and procedures for enrolling in internships, see the section of this Catalog entitled Internships 3800.
Junior standing; at least 12 credit hours completed at Greensboro College prior to enrolling
DAT 4900Data Analytics Practicum3
Offered: Every fall semester, online only (Note: this course will be taught online by instructor(s) from another college via a partnership. Please be aware of differences in start and end dates for this course.) This course is a capstone project in which students are asked to work through a full data science workflow on a set of real data drawn from sports, politics, business or public health. This course exists to prepare students for the kind of work they will do on Data Science or Analytics teams, and as such, also features an emphasis on interviewing for jobs in the space and communicating results to stakeholders. This online class has optional live sessions.