Cyril S. Ku Home Page

Cyril S. Ku, Ph.D.

Professor

Department of Computer Science
William Paterson University
Office: HSCIE 5030
Phone: 973-720-2952
E-Mail: kuc@wpunj.edu

ORCID: https://orcid.org/0000-0001-6310-9597
Web: https://wpconnect.wpunj.edu/directories/faculty/default.cfm?user=kuc

Spring 2024 Semester Schedule

Time Monday Tuesday  Wednesday  Thursday Friday
8:00 AM - 9:15 AM          
10:00 AM - 11:30 AM        Research
      Meeting
    Research     Research  
 11:30 AM - 12:15 PM          Research     Research  
12:30 PM - 1:45 PM      CS 4070
  HSCIE 5040  
     Common
         Hour
     CS 4070
  HSCIE 5040  
  Common
      Hour
  Research  
2:00 PM - 3:15 PM         Office
        Hour*
          Office
        Hour*
     Office
     Hour*
  Research  
3:30 PM - 4:45 PM      CS 4100
  HSCIE 5019  
       CS 4100
  HSCIE 5019  
  Research     Research  
5:00 PM - 6:15 PM        CS 3500
  HSCIE 5035  
    Research     Research  
6:30 PM - 7:40 PM        CS 3500
  HSCIE 5035  
     
Online Asynchronous
  CS 3570 (Fundamentals of Web-based Information Technology)
*Office hours can also be arranged by appointment.

Research:

Data Science Research Lab: DSRL

NSF S-STEM Grant: MaCS Scholars Program

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
  • 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.