Multiway Data Analysis will be taught by professor Stephen Reichenbach from 9:30-10:20 a.m. on Mondays, Wednesdays and Fridays. The course will cover introduction, models, methods, and applications of multiway data analysis. From the text, Applied Multiway Data Analysis by Pieter M. Kroonenberg, “Multiway analysis is a specialized branch of the larger field of multivariate statistics that extends the standard method for two-way data…. Multiway analysis is applicable across a rane of fields, from the social and behavioral sciences to agriculture, environmental sciences, and chemistry.”
The Kroonenberg text will be the textbook used in the course.
Data and Network Security will be taught by professor Byrav Ramamurthy from 12:30-1:45 on Tuesdays and Thursdays. This is an introductory level course on the concepts and principles of data and network security. The focus is of this class is on practical aspects and application of cryptosystems in security protocols for networks such as the internet.
The basic topics to be included: Applications of cryptography and cryptosystems for digital signatures, hash functions and messages digests; authentication, discussing the benefits and pitfalls of different authentication schemes, e.g. PKI and Kerberos; secure group communication, including key distribution and key management; network security protocols for wired and wireless networks, e.g. IPsec, SSL/TLS, WEP, WPA; cyberattacks and countermeasures, (distributed) denial of service attacks, firewalls, email filtering viruses, worms; security in wireless ad hoc and sensor networks and grid/middleware security.
More information can be found here: cse.unl.edu/~byrav/CSCE496DNS/outline.html
History of Harvest will be taught by professors William G. Thomas and Ian Cottingham at 9:30-10:45 a.m. on Tuesdays and Thursdays. This is a jointly-offered course for computer science and engineering students as well as history majors. The History Harvest will work together in cross-disciplinary teams to develop software artifacts and corresponding historical analysis of harvested materials. This class is a combination of computational thinking and historical analysis.
More information can be found here: newsroom.unl.edu/announce/cse/2731/14889