Associate Professor of Computer Science
His main research interest is in the area of genetic optimization of neural networks for human-like tasks, mainly for cooperative, team-based games. He is currently studying ways in which the coding of evolved parameters affect the performance of artificial multi-agent systems under environments with changing conditions. He is also interested in issues of technology and society, such as access to STEM education for underrepresented students, privacy and data collection on the Internet, and the effect of new media and new technology on the economy.
His papers have been presented at conferences such as the International Joint Conference on Neural Networks, the Congress on Evolutionary Computation, and the International Conference on Neural Information Processing.
Bigger-sized software programs, which are developed through a longer time span, require development steps that are not necessary for smaller projects. This course will expose students to the design, implementation, testing, and maintenance of this type of projects, putting particular but not exclusive emphasis on agile development methods. Students will be involved in the actual GROUP implementation of a major piece of software, in conditions similar to those found in industry. Prerequisite: Students must have ample experience before the beginning of the course with the C, C++, or Java, or some other high level languages, in at least a semester of computer programming experience. By the end of the semester successful student will be able to: understand the reasons for software engineering, and act accordingly; understand the differences between the waterfall model and agile models of software engineering, and when to best use each of them; understand what is involved in each of the following step by having engaged in each of them: requirement engineering; system modeling; architectural design; software testing.
This course will expose students to the major topics involved in developing real-life applications that make use of data in order to dynamically generate websites. Emphasis will be placed on both standard database theory, such as normalization and integrity, and real-life deployment, installation, and maintenance of database driven websites. The course will concentrate on the Model-View-Controller software architecture. Code development will be done using Ruby and Ruby on Rails, but previous experience with these languages is not assumed. The course will also briefly touch on other database models and languages, but not much. Prerequisite: At least two semesters of college-level programming experience with a high level programming language.
Computational linguistics is an interdisciplinary field investigating the use of computers to process or produce human language (also known as "natural language," to distinguish it from computer languages). To this endeavor, linguistics contributes an understanding of the special properties of language data, and provides theories and descriptions of language structure and use. Computer science contributes theories and techniques for designing and implementing computer systems that generate and parse linguistic input. Students in this course will engage in both the theoretical and the applied aspects of this inquiry. Prerequisite detail: Any combination of courses that totals at least two semesters worth of college-level studies in linguistics, computer science, or psycholinguistics.(i.e. two computer science courses, two linguistics courses, one course in computer science and one course in linguistics, etc.)
This course is designed to give students a strong introduction to computer programming, with an emphasis on their developing their own projects by the end of the semester. As a course that can provide a strong foundation for further computer science courses, this class will expose students to input/output operations, if-else structures, loops, functions, objects, and classes. The course will also introduce students to the use of Python libraries developed by the Open Source community in order to incorporate advanced features into their own programs. Some of these libraries include Pygame, pyEvolve, and Pylab. No prior programming experience is necessary.
Programming tasks can be attacked with a number of different approaches. While real-time systems benefit from event-driven programming, other tasks benefit from object oriented, functional, imperative, logic, or symbolic programming. Students in this course will be exposed to the most commonly used programming paradigms, as well as what distinguishes them from each other and when using any one of them might be advantageous. Prerequisite detail: At least one semester long college course in computer programming in a language such as python, C, C++, perl, Java, Lisp, or Clojush
This course is designed to give students a strong introduction to computer programming, with an emphasis on their developing their own projects by the end of the semester. By the end of the course successful students will be able to write programs of moderate difficulty. While Unity is a platform commonly used to develop computer games, students will be able to develop any type of program. As a course that can provide a strong foundation for further computer science courses, this class will expose students to input/output operations, if-else structures, loops, functions, objects, and classes. No prior programming experience is necessary.
Evolutionary computation is an artificial intelligence strategy based on natural evolution, in which candidate solutions are evaluated and recombined based on their performance. Agent-based systems use a collection of information to solve a complex task, while possibly providing for planning, communication, error recovery, and learning. In this course we will study and combine these two techniques and apply them to virtual simulations of games such as Capture the Flag, Robocup, RoboRescue, Quidditch, and others. Emphasis is placed on the design and implementation of course projects. Students will be able to work with a variety of software packages, such as neural network simulators, evolutionary packages, virtual world simulators, computer game platforms such as pygames and Unity. Students should be comfortable programming in at least one high level programming language such as python, C, C++, C#, Java, Lisp, etc. Prerequisite detail: At least one college-level course in computer programming.