Jansen Orfan Headshot

Jansen Orfan

Lecturer
Department of Computer Science
Golisano College of Computing and Information Sciences

585-475-2834
Office Location

Jansen Orfan

Lecturer
Department of Computer Science
Golisano College of Computing and Information Sciences

Education

BS in Computer Science, Monmouth University; MS in Computer Science, University of Rochester

585-475-2834

Areas of Expertise

Currently Teaching

CSCI-331
3 Credits
An introduction to the theories and algorithms used to create artificial intelligence (AI) systems. Topics include search algorithms, logic, planning, machine learning, and applications from areas such as computer vision, robotics, and natural language processing. Programming assignments are an integral part of the course.
CSCI-242
4 Credits
This course serves as a means of bringing transfer students with some programming and data structures background to the same skill level that the computer science program's first year students have after completing CSCI 141 and 142. Problem solving skills and the choice and application of appropriate algorithms and data structures are at the core of the course. Assignments (both in class and for homework) requiring a design and an implementation are an integral part of the course. Larger programming projects are also required.
CSCI-630
3 Credits
An introduction to the theories and algorithms used to create artificial intelligence (AI) systems. Topics include search algorithms, logic, planning, machine learning, and applications from areas such as computer vision, robotics, and natural language processing. Programming assignments and oral/written summaries of research papers are required.
CSCI-603
3 Credits
This course focuses on the application of computational thinking using a problem-centered approach. Specific topics include: expression of algorithms in pseudo-code and a programming language; elementary data structures such as lists, trees and graphs; problem solving using recursion; and debugging and testing. Assignments (both in class and homework) requiring a pseudo-code solution and implementation in a programming language are an integral part of the course. Note: This course serves as a bridge course for graduate students and cannot be taken by undergraduate students without permission from the CS Undergraduate Program Coordinator.