Inna Pivkina's Teaching

I participate in the project "Learning Discrete Mathematics and Computer Science via Primary Historical Sources". We develop and classroom test projects based on primary historical sources.

The pedagogy and some of the experiences are described in my SIGCSE publications:

A Project in Algorithms based on a Primary Historical Source about Catalan Numbers (D. Pengelley, I. Pivkina, D. Ranjan, and K. Villaverde).
Historical Sources as a Teaching Tool (I. Pivkina, D. Ranjan, J. Lodder).

A list of available projects is available at http://www.cs.nmsu.edu/historical-projects/.
If you are an instructor and are interested in testing any of the projects please contact me.

Courses Taught

CS 272 Introduction to Data Structures. Spring 2006, Spring 2007, Fall 2007, Spring 2009, Spring 2011.
CS 278 Discrete Math for CS. Fall 2009, Fall 2011.
CS 372 Data Structures and Algorithms. Fall 2003, Spring 2005, Fall 2005, Fall 2006, Fall 2007, Spring 2008, Fall 2008, Spring 2011.
CS 482 / 502 Database Management Systems. Fall 2008.
CS 475 / 505 Artificial Intelligence 1. Fall 2003, Fall 2004, Spring 2006.
CS 575 Artificial Intelligence 2. Fall 2002, Spring 2004, Fall 2006, Fall 2011.
CS 479 / 579 Machine Learning. Spring 2005.
CS 461 / 579 Logic Programming. Fall 2004.
CS 479 / 579 Foundations of Constraint Satisfaction. Spring 2003.
CS 479 / 579 Data Mining. Spring 2007, Fall 2009.

Awards

Award of Excellence as the Most Distinguished faculty member in 2003-2004 of the NMSU Teaching Academy.

Distinguished faculty member in 2003-2004, 2004-2005, 2005-2006, 2006-2007, 2007-2008, 2008-2009, 2009-2010 of the NMSU Teaching Academy.