8 courses with the subject DSCI, 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.
3-S (online) Introduction to the discipline of data science including necessary skills, concepts, and data science processes used in practice. Moral and ethical issues in data science from a Christian perspective. Fulfills General Education Abstract and Quantitative Reasoning requirement. Liberal Arts.
3-WSP Introduction to the fundamentals of data science including data science methodology, understanding data sources, data collection, exploration, and visualization. Introduction to programming tools along with an overview of machine learning. Learning about the integration of faith as part of the data science process. Fulfills General Education Abstract and Quantitative Reasoning requirement. Liberal Arts.
3-WSP In addition to the most basic aspects of statistics in general, introduces data types, data structures, and data wrangling utilizing the R programming language. Taught at participating high schools to selected, qualified students.
DSCI 212 Data Science II or CSCI 345 Machine Learning 4 4 credits chosen from below BADM/PSY 309 Statistics 4 COMM/ART 224 Motion Media Design & Animation 4 COMM/ART 228 Digital Video I 4
4-F25 Continuing focus on data mining, learning, and analysis: evolutionary learning, statistical learning, data streaming learning, data visualization and communication, and legal and ethical issues in the full lifecycle of data science. Data Science I and II together intend to teach the full spectrum of data science. Liberal Arts. Prerequisite: DSCI 211
0–6-WSP 255
178
Source: Houghton University's catalog, linked per course · table learning_unit · CourseShelf publish 61
