Baylor DSC: Data Science
DSC 2335: Database Design for DS
3 credit hours · 2 sections · 50 open seats · Michael Aars, Rose John
Prerequisite(s): A grade of C or better in CSI 1402. Current relational database design concepts for Data Science majors, including ER diagrams and normalization. Database access techniques such as SQL and JDBC. Database issues including performance and securi…
DSC 2350: Discrete Structures for DS
3 credit hours · 1 section · 30 open seats · Michael Aars
Prerequisite(s): C or better in CSI 1402 or concurrent enrollment; MTH 1321 or concurrent enrollment. An introduction to the foundations of discrete structures as they apply to data science, focusing on providing a solid theoretical foundation for further work…
DSC 3334: Algorithms and Data Structures
3 credit hours · 1 section · 30 open seats · Matthew Fendt
Prerequisite(s): C or better in CSI 1402. Analysis of the use of appropriate data structures to hold and process large amounts of data. Application of the data structures using data science and machine learning algorithms and discussion of the algorithms' runt…
DSC 3344: Analytics for Machine Learning
3 credit hours · 1 section · 20 open seats · Matthew Fendt
Prerequisite(s): C or better in DSC 3334. An introduction to the data analytics used in machine learning, including descriptive statistics, probability and counting theory, samples and probability distributions, inferential statistics, linear regression, princ…
DSC 4310: Machine Learning
3 credit hours · 1 section · 25 open seats · Xiao Shou
Prerequisite(s): C or better in DSC 2335, DSC 3344, and MTH 2311. This course provides an introduction to the fundamental methods and theory of modern machine learning. Machine learning algorithms covered include: shallow, mid-level, and deep learning models a…
DSC 4320: Data Visualization
3 credit hours · 1 section · 34 open seats · Rachel Harrison
Prerequisite(s): CSI 2300. Investigation of the various techniques for creating effective visualizations, incorporating principles of graphic design, cognitive and perceptual psychology, data analysis, and human factors evaluations. Using the growing toolbox f…
DSC 43C9: Data Science Capstone
3 credit hours · 1 section · 20 open seats · Matthew Fendt, Rachel Harrison
Prerequisite(s): C or better in DSC 4310. A semester-long project course in which students will create a computing system. The project requires applying information technology according to established design management practices, including technical presentat…