Teaching

Graduate Level
- Intelligent Systems Technology
- User Interface Technology (graduate level - Information Technology Leadership program) -- 4 times
- Data Warehousing (graduate level) -- 10 times, including twice online.
- Advanced Computing with Java (graduate level) -- 5 times
- Machine Learning with Data Mining Applications -- 4 times grad, first as Graduate Special Topics Summer 1999, most recent 2 times online.
- Database Systems -- 3 times at foundation level for graduate level
Undergraduate Level
- CS1 Variations
  - Programming Concepts and GUIs (VB CS1 ?) - 6 times (7 sections)
  - Computing and Problem Solving (CS1 using Java) -- 2 times
  - Computing and Problem Solving (CS1 using C) -- 2 times
  - Object Programming (Java CS1+ ?) - 2 times
- CS2 Variations
  - Introduction to Data Structures and Algorithms (CS2 using Java) -- 1 time
  - Introduction to Data Structures and Algorithms (CS2 using C++) -- 2 times
- Artificial Intelligence
- Database Systems -- 14 times undergrad (4 times were at Rutgers)
- Database Applications (advanced DB, with n-tier applications)
- Data Mining -- Undergraduate Special Topics -- 3 times (4 sections)
- Project Design (first part of senior capstone) -- 2 times
- Project Implementation (second part of senior capstone) -- 2 times
- Non-Major Variations
  - Introduction to Computing; Math/Science Applications -- 8 times (10 sections)
  - Introduction to Computing using Packages; Business Majors -- 4 times (7 sections)
  - Introduction to Computing using Packages -- 5 times (3 times were at Rutgers)
  - Introduction to Computing Science Principles -- 1 time
At Rutgers (other than mentioned above)
- Information Systems Design -- 6 times
- Introduction to Computer Science (CS1 using C++) -- 2 times
- Software Lab I (Unix-based) -- 2 times
- Introduction to Machine Learning -- Special Topics Fall 1996
- Introduction to Artificial Intelligence -- 5 times
- Object-Oriented Programming Using C++ (pre-98 RU-C curriculum) -- 2 times
- Structured Programming Methods (CS1 using Pascal)(pre-96 RU-C curriculum) -- 3 times
- Advanced Programming Methods (using Pascal)(pre-92 RU-C curriculum) -- 2 times

Other Activities:

member Arts and Sciences Strategic Planning group (2011-)
member Leaves and Grants committee (2011-)
member core advisory board (old core) (2010-)
member Ad hoc Core Discussion leadership group
Charter Celebration Committee - La Salle Univ, 2006-2009
Faculty Advisor - Student ACM Chapter - La Salle Univ, 1999-2004
Member Faculty Development Committee, 2003-2006; co-chair and chair 2004-2006
Member Athletic Committee, 2000-2002
Member ad hoc cemmittee studying Forensic Studies curriculum possibilities 2004-present
Member ad hoc committee studying BioPsych curriculum possibilities 2000
computer science faculty search committee member 2003
participant in updating of CSC curriculum 2010-2011
head of adhoc committee studying non-major computer science, 2008-2009, 2011-2012
head of book selection committee for CSC 151/152/155 book selection committee, 2005-present
participant in interviewing of prospective grad CIS students
participant in updating of Grad CIS curriculum
sub committee chair in updating of CSC curriculum 2002
Site Coordinator - 1992 ACM Regional Programming Contest - Rutgers-Camden site.
Faculty Advisor - Computer Science Association (student club) - Rutgers-Camden, 1991-1996

Resources:

Program to Assign Students to Groups described in my SIGCSE 2001 paper. It is in Pascal and would need advice on how to use it. My more recent version uses simple genetic algorithms (instead of constraint propogation) and is written in Java.
Weka Data Mining Software (GNU License) a really nice free system with many learning algorithms available.
UTCS Machine Learning Research Group some popular programs - useful for ML or AI class demos
C++ Program Design by Cohoon and Davidson at UVa.

Last updated January 3, 2012