Courses

This course consists of four major parts: 1) neuroscience and interfaces, 2) brain imaging technologies, 3) front-end circuit design, 4) power/data links and graphical user interface, and 5) circuit, wireless link, and safety simulating software-learning parts.

This course consists of four major parts: 1) neuroscience interfaces, 2) brain imaging technologies, 3) front-end circuit design, 4) power/data links and graphical user interface, and 5) circuit, wireless link, and safety simulating software-learning parts.

Methods and materials for music educators in the specialized techniques of brass (trumpet, trombone, horn, euphonium, tuba) pedagogy; emphasis on learning through performing and teaching in-class lessons.

A study of teaching techniques, materials, and repertoire for brass instruments.

This course is operated like a broadcast newsroom and is designed to provide students with real time practical experience in the art of deadline storytelling. Students write, shoot, report, produce, anchor and edit news stories while rotating through different jobs in the newsroom. Students write more than half a dozen news stories during the semester. Editorial decision- making and production management are emphasized. Reporting (formerly BJ 362: Advanced News Production)

The purpose of this course is to expand on the skills learned in AET 191. Industry-driven BIM software will be utilized to create accurate and useful building models while further exposing students to the power and potential of BIM and its impact on the Architecture, Engineering, and Construction Industry. Emphasis will be placed on the information component of BIM.

The purpose of this course is to expand on the skills learned AET191.Industry-driven BIM software will be utilized to cre- ate accurate and useful building models while further exposing students to the power and potential of BIM and its impact on the Architecture, Engineering and Construction Industry. Em- phasis will be placed on the information component of BIM.

This course provides the foundation for big data analysis, modeling, and spreadsheet usage. Students will learn several analytical methods that are proven useful in business decision making.

The course provides a strong foundation for extensive data analysis, spreadsheet use, and modeling in two other statistical software, R and Python. Students can learn several analytical methods useful in real-life business-decision making.

Fundamentals of developing comprehensive, component-based local and Internet business applications. Grade of C or better in prerequisite course. Credit will not be given for both ISMN 5650 and ISMN 6650/6656.