Dr. Denise Byrnes

Associate Professor of Computer Science

Degrees

  1. Ph.D The Ohio State University, 1992
  2. M.S. The Ohio State University, 1987
  3. B.S. The Ohio State University, 1985

Teaching Philosophy

  1. The computer science discipline is driven by rapid advances in computing technology. It is difficult to catch one’s breath when your field is moving at a break neck pace and its application is extended to yet another discipline. This is exactly why I fell in love with the field; the necessity for continued learning and its ubiquitous application to general problem solving. I hope each of my students is infected with the same wonder and excitement I hold for computer science or at the very least, the importance of the field to their every day life. I hope my excitement is contagious. Showing the linkage between classroom theory and real-world problems is my favorite engagement tool.

Courses Taught

  • Animation, Gaming, and 3-D Virtual World
  • Connecting Art and Computer Science
  • Problem Seminar
  • Computer Programming I
  • Computer Programming II
  • Computer Organization
  • Computer Networking
  • Theory of Computation
  • Computer Graphics
  • First Year Seminar
  • Multimedia Computing
  • Data Structures and Algorithms
  • Algorithm Analysis
  • User Interface Design

Recently Advised Senior Independent Studies

  • 2015
    • Learning Emotions: A Software Engine for Simulating Realistic Emotion in Artificial Agents
      (Douglas Code)
  • 2014
    • Conquering Carcassonne
      (Andrew Hoover, Computer Science and Math)
    • Evolving Lambda-Calculus Functions Using Genetic Programming
      (Xiaomeng Ye, Computer Science & Math)
    • The Technology of Nature: A 3D Graphic Visualization of Lindenmayer Systems Structures
      (Karley Walker)
    • Worlds as Real as Ours: Image Processing and Differential Photometry of Transiting Exoplanets
      (Vanessa Logan, Computer Science and Physics)
    • Two and Three Dimensional Ising Model Based on Graphical User-Interphase Simulator
      (Norman Chamusah, Computer Science and Chemistry)
  • 2013
    • Computer Vision: Object Recognition and Human-Computer Interaction
      (Benn Snyder)
  • 2012
    • Computational profiling and identification of the 3' untranslated region within Paramecium tetraurela
      (Tristan Vrolijk, Computer Science and Biochemistry & Molecular Biology)
    • Procedurally generating everything
      (Micah Caunter)
    • Exploring opinion dynamics from a computational science perspective
      (Trisha Fultz, Computer Science and Math)
    • Computer generated architecture through nature: using swarm intelligence and evolutionary computing to generate 3D models
      (Jason Palevsky)
    • Data Mining and its Applications
      (Yanlong Hu, Computer Science and Math)