James Heliotis

Professor

Department of Computer Science

Golisano College of Computing and Information Sciences

jehics@rit.edu

585-475-6133

Office Hours

Mon 13:00 Tue 14:00 Thu 14:00

Office Location

GOL-3515

Office Mailing Address

Computer Science Department Rochester Institute of Technology 102 Lomb Memorial Drive Rochester NY 14623-56

James Heliotis

Professor

Department of Computer Science

Golisano College of Computing and Information Sciences

Education

BS in Engineering, Cornell University; MEng in Electrical Engineering, Cornell University; Ph.D. in Computer Science, University of Rochester

Bio

James Heliotis received his Bachelor of Science and Master of Engineering in Electrical Engineering degrees from Cornell University in 1975 and 1976. After a few years as an engineer and real-time systems programmer at Xerox Corporation, he returned to academia and received his Ph.D. in Computer Science from the University of Rochester in 1984.

Since 1983 he has taught in the Department of Computer Science at the Rochester Institute of Technology, with teaching assignments in the department of Software Engineering as well. He currently holds the rank of Full Professor.

Dr. Heliotis has also done software development training and consulting for several companies in the Rochester area, including Xerox, Kodak, Tropel, Frontier, Heidelberg, and ITT.

His interests are in computing education as well as object technology, software engineering, software development tools, real-time systems, and aspect-oriented software.

jehics@rit.edu

585-475-6133

Personal Links

Personal Website

Curriculum Vitae

Areas of Expertise

Computing Education

Computer Science Education

Software Development Tools

Programming Languages

Software Design

Select Scholarship

Published Conference Proceedings

Heliotis, James. "A Python Helper Class for Beginning Data Structures." Proceedings of the 31st Annual Regional Conference of the Consortium for Computing Science in Colleges, Eastern Region. Ed. Vincent Cicirello and Aakash Taneja. Stockton, NJ: n.p., Print.

Invited Keynote/Presentation

Heliotis, James, Ivona Bezakova, and Sean Strout. "Programming Board Game Strategies in CS2." Frontiers in Education 2013. IEEE Computer Society, ASEE, IEEE. Oklahoma City, OK. 23 Oct. 2013. Conference Presentation.

Currently Teaching

CSCI-140

Computer Science for AP Students

4 Credits

This accelerated course covers material from the first-year sequence of courses and provides the foundation for all subsequent Computer Science courses. The course stresses problem solving while covering modern software development techniques and introducing essential software tools. Topics include tree and graph structures, nested data structures, objects, classes, inheritance, interfaces, object-oriented collection class libraries for abstract data types (e.g. stacks, queues, maps, and trees), and static vs. dynamic data types. Concepts of object-oriented design are a large part of the course. Software qualities related to object orientation, namely cohesion, minimal coupling, modifiability, and extensibility, are all introduced in this course, as well as a few elementary object-oriented design patterns. Input and output streams, graphical user interfaces, and exception handling are covered. Note: Requires department permission for registration.

CSCI-344

Programming Language Concepts

3 Credits

This course is a study of the syntax and semantics of a diverse set of high-level programming languages. The languages chosen are compared and contrasted in order to demonstrate general principles of programming language design and implementation. The course emphasizes the concepts underpinning modern languages rather than the mastery of particular language details. Programming projects will be required.

CSCI-142

Computer Science II

4 Credits

This course delves further into problem solving by continuing the discussion of data structure use and design, but now from an object-oriented perspective. Key topics include more information on tree and graph structures, nested data structures, objects, classes, inheritance, interfaces, object-oriented collection class libraries for abstract data types (e.g. stacks, queues, maps, and trees), and static vs. dynamic data types. Concepts of object-oriented design are a large part of the course. Software qualities related to object orientation, namely cohesion, minimal coupling, modifiability, and extensibility, are all introduced in this course, as well as a few elementary object-oriented design patterns. Input and output streams, graphical user interfaces, and exception handling are covered. Students will also be introduced to a modern integrated software development environment (IDE). Programming projects will be required.