Cyril S. Ku Home Page

Cyril S. Ku, Ph.D.

Professor

Department of Computer Science
William Paterson University
Office: HSCIE 5030
E-Mail: kuc@wpunj.edu

WPU Profile

Spring 2026 Semester Schedule
Time Monday Tuesday  Wednesday  Thursday Friday
8:30 AM - 9:45 AM          
10:00 AM - 11:00 AM        Research
      Meeting		      Research     Research  
   Meeting
 11:00 AM - 12:15 PM           Research     Research  
12:30 PM - 1:45 PM        Common
         Hour		         Office
        Hour*		    Common   
       Hour		   Research  
2:00 PM - 3:15 PM       CS 3500
   HSCIE 5019   		     CS 4100/5100  
   HSCIE 5035  		    Research     Research  
3:30 PM - 4:40 PM       CS 3500
   HSCIE 5019   		         Office
        Hour*		   CS 4100/5100  
   HSCIE 5035  		    Research     Research  
5:00 PM - 6:15 PM       CS 6030
   HSCIE 5019   		   CS 4070/5070  
   HSCIE 5000   		      Research     Research  
6:30 PM - 7:40 PM       CS 6030
   HSCIE 5019 		   CS 4070/5070  
   HSCIE 5000   		      
*Office hours can also be arranged by appointment.

Research:

Founder & Director of Data Science Research Lab (WPU): DSRL

Co-PI of NSF S-STEM Grant (WPU): MaCS Scholars Program

Research Scientist of Healthcare Approaches to Justice Collaborative (MSU): HAJC

Courses Taught:

  • CS 2010 - Computer and Information Technology
  • CS 2100 - Web Page and Site Design
  • CS 2150 - Computer and Information Technology for Educators
  • CS 2600 - Discrete Mathematics
  • CS 3420 - Data Structures
  • CS 3500 - Software Engineering
  • CS 3550 - Data Management Concepts and Applications
  • CS 3570 - Fundamentals of Web-based Information Technology
  • CS 3990 - Selected Topics: Data Warehousing and Data Mining
  • CS 4035 - Systems Analysis and Design
  • CS 4070 - Data Science and Analytics
  • CS 4075 - Data Mining and Data Analytics (Online B.S. in IT Program)
  • CS 4080 - Data Mining and Machine Learning
  • CS 4100 - Artificial Intelligence
  • CS 4400 - Database Management
  • CS 4950 - Internship
  • CS 4990 - Independent Study
  • CS 5500 - Software Engineering (Graduate Course)
  • CGSI 3000 - Selected Topics in Cognitive Science
  • Virtual World: Web Design and Development (Summer Short Course)     
Course descriptions can be found in the Academic Catalog.