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
Natural language understanding
Symbolic knowledge representation and reasoning

Currently Teaching

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-140
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-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.