Inna Pivkina's Teaching

Earned ACUE badges

[Creating an Inclusive and Supportive Learning Environment]

[Creating an Inclusive and Supportive Online Learning Environment]

[Inspiring Inquiry and Lifelong Learning in Your Online Course]

Courses Taught

CS 151 / 451 C++ Programming. Spring 2021, Fall 2021, Spring 2022, Fall 2022, Spring 2023.
CS 172 / 460 Computer Science I. Fall 2014, Spring 2015, Fall 2016, Spring 2020, Fall 2021, Fall 2022, Spring 2023, Summer 2023, Fall 2023.
CS 271 / 462 Object Oriented Programming. Spring 2019, Fall 2020, Fall 2023.
CS 272 / 463 Introduction to Data Structures. Spring 2006, Spring 2007, Fall 2007, Spring 2009, Spring 2011, Fall 2012, Spring 2016, Spring 2017, Spring 2018, Spring 2021, Spring 2022.
CS 278 / 465 Discrete Math for CS. Fall 2009, Fall 2011, Fall 2012, Spring 2013, Fall 2013, Spring 2014, Fall 2015, Fall 2016, Fall 2017, Fall 2018, Fall 2019, Fall 2020, Spring 2022, Spring 2023.
CS 372 / 469 Data Structures and Algorithms. Fall 2003, Spring 2005, Fall 2005, Fall 2006, Fall 2007, Spring 2008, Fall 2008, Spring 2011, Spring 2012, Spring 2013, Fall 2013, Spring 2014, Fall 2014, Fall 2015, Spring 2017, Spring 2018, Spring 2019, Spring 2020, Spring 2021.
CS 482 / 502 Database Management Systems. Fall 2008.
CS 475 / 505 Artificial Intelligence 1. Fall 2003, Fall 2004, Spring 2006, Spring 2012, Spring 2016.
CS 575 Artificial Intelligence 2. Fall 2002, Spring 2004, Fall 2006, Fall 2011.
CS 479 / 579 Machine Learning. Spring 2005, Spring 2015.
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, Fall 2013.
CS 488 / 508 Data Mining. Fall 2017, Fall 2018.
CS 510 Automata, Languages, Computability. Fall 2019, Fall 2020, Fall 2021, Fall 2022, Fall 2023.

Projects based on historical sources

I participated in the project "Learning Discrete Mathematics and Computer Science via Primary Historical Sources". We developed 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/.

Awards

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

Distinguished faculty member of the NMSU Teaching Academy in 2003-2004, 2004-2005, 2005-2006, 2006-2007, 2007-2008, 2008-2009, 2009-2010. Member of the NMSU Teaching Academy in 2014-2015, 2016-2017.