4 courses with the subject DATA, 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.
DATA 101Introduction to Data Analysis3
This course is an introduction to the science of data. Students will explore how data is generated, gathered, stored and utilized to influence all aspects of the world around them. Students will be provided opportunities to gather data of personal interest and relevant to social responsibility for analysis. Students will perform statistical analysis on clean data while learning basic techniques using leading-edge data software. Credit(s): 3 Credit(s): 3
This course covers the collection and analysis of data from physical sensors. Topics include construction, calibration and physics of measurement instruments and actuators; communication protocols; localization; beamforming; inspection and visualization of data; statistical modeling and analysis of sensor outputs; and decision-making. Students will assemble, test and program micrcontroler-based sensor systems. Applications include science, engineering, business, education and electronic art. Credit(s): 3
As an introductory course on data mining, this course provides theoretical and practical coverage of data mining topics and introduces the key concepts, principles, algorithms, and systems of data mining, including, but not limited to data warehousing and data preprocessing techniques, data mining techniques for classification, and evaluation of patterns mined from data. Major components of data classification, association and sequence analysis will be a focus. Credit(s): 3
This is a capstone experience pairing students with industry partners to provide students the opportunity to contextualize what they have learned in preceding data analysis coursework. Topics will include the application of advanced data mining, data ethics and reproducible research. Students will utilize skills from previous courses to map a general question to a statistical framework, access and manipulate raw data, discover patterns, analyze, model and summarize findings. 3 Credit(s): 3
