Erik Golen Headshot

Erik Golen

Lecturer
School of Information
Golisano College of Computing and Information Sciences

585-475-7803
Office Location

Erik Golen

Lecturer
School of Information
Golisano College of Computing and Information Sciences

Education

BS, Ph.D., Rochester Institute of Technology

585-475-7803

Currently Teaching

ISTE-600
3 Credits
There is mounting evidence of a need to improve the ability of individuals and groups to think thoughtfully and analytically in order to develop appropriate and useful solutions to complex problems. Sources of complexity include human cognitive limitations, uncertainty, system dynamics, and reasoning errors. This course will provide students with frameworks, techniques, methods, and tools to improve analytical and critical thinking and presentation skills. Students will work individually and in groups on assignments and case study analyses.
NSSA-220
3 Credits
An introduction to the Unix operating system and scripting in the Perl and Unix shell languages. The course will cover basic user-level commands to the Unix operating system, followed by basic control structures, and data structures in Perl. Examples will include GUI programming, and interfacing to an underlying operating system. Following Perl, students will be introduced to the basics of shell programming using the Unix bash shell. Students will need one year of programming in an object-oriented language.
ISTE-222
3 Credits
The third course in the programming sequence expanding the student’s knowledge base of higher level programming concepts including data structures, algorithm development and analysis, Big-O notation, directed graphs, priority queues, performance, and a greater understanding of how complex software can more easily be designed. Programming assignments are required.
ISTE-782
3 Credits
This course introduces students to Visual Analytics, or the science of analytical reasoning facilitated by interactive visual interfaces. Course lectures, reading assignments, and practical lab experiences will cover a mix of theoretical and technical Visual Analytics topics. Topics include analytical reasoning, human cognition and perception of visual information, visual representation and interaction technologies, data representation and transformation, production, presentation, and dissemination of analytic process results, and Visual Analytic case studies and applications. Furthermore, students will learn relevant Visual Analytics research trends such as Space, Time, and Multivariate Analytics and Extreme Scale Visual Analytics.

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Published Conference Proceedings
Tran, Tuan, et al. "Sentiment Analysis of Marijuana Content via Facebook Emoji-Based Reactions." Proceedings of the IEEE International Conference on Communications 2018, Kansas City, MO. Ed. IEEE. Kansas City, MO: n.p., Web.
Kotak, Chanvi, Brian Tomaszewski, and Erik Golen. "3-1-1 Calls Hot Spot Analysis During Hurricane Harvey: Preliminary Results." Proceedings of the Proceedings of the 15th ISCRAM Conference – Rochester, NY, USA May 2018. Ed. Kees Boersma and Brian Tomaszewski. Rochester, NY: n.p., Web.
Kang, Jai W., et al. "IT Curriculum: Coping with Technology Trends & Industry Demands." Proceedings of the SIGITE’18, October 3-6, 2018, Fort Lauderdale, FL, USA. Ed. ACM. New York, NY: n.p., Web.
Nozaki, Yoshihiro, Erik Golen, and Nirmala Shenoy. "A Modular Architecture for Scalable Inter-Domain Routing." Proceedings of the IEEE Computing and Communication Workshop and Conference, January 9-11, 2017. Las Vegas, NV. Ed. IEEE. New York, NY: IEEE, 2017. Web.
Herlihy, Liam, et al. "Secure Communication and Signal Processing in Inertial Navigation Systems." Proceedings of the IEEE Electronics and Nanotechnology, April 18-20, 2017. Kyiv, Ukraine. Ed. IEEE. New York, NY: IEEE, 2017. Web.
Golen, Erik F., et al. "The GENI Test Automation Framework for New Protocol Development." Proceedings of the 3rd International Conference on Future Network Systems and Security, August 31-September 2, 2017. Gainesville, FL. Ed. Springer. New York, NY: Springer, Print.
Kang, Jai, Qi Yu, and Erik Golen. "Teaching IoT (Internet of Things) Analytics." Proceedings of the ACM SIGITE 2017, October 4-7, 2017. Rochester, NY. Ed. ACM. New York, NY: ACM, Print.