Dr. Pamela Cutter


Hello everyone! I'm very excited to meet all of you in person this quarter! I look forward to exploring some applications of computing in science, and learning some Python with you this quarter. My interests are in Computer Science education, applications of computing in science, as well as Computational Number Theory.

Weekly Schedule Personal Webpage

Collaboration Center

Meet TAs, Work, Learn

The Computer Science Collaboration Center is located in OU 312. It is a place to hang out and work on computer science by yourself or with your peers! TAs are available for assistance Sunday through Thursday from 7:00 PM to 9:00 PM. You can also ask questions in the online CS Collaboration Center Teams site. See the Collaboration Center schedule for more details.

Collaboration Center DSA


A new quarter begins and new knowledge awaits! Welcome to Introduction to Scientific Computing (COMP 108). This course gives students an introduction to scientific modeling and data analysis. It provides an introduction to computer programming, and covers topics that are relevant to scientific research, emphasizing the process of modeling, simulation, visualization and evaluation of data. It also includes some fundamental computer science topics, including limits of computation and algorithm analysis.

We have an awesome group of TAs at the CS Collaboration Center (OU 312 or online in the CS Collaboration Teams site) where you can go and ask any questions you have. And, of course, my office hours are available to you. Check my weekly schedule and please stop by: we can talk about the things you don't understand, the things you do, and other related (or unrelated) topics.

One last thing, diversity and inclusion in Science are critical for the achievement of excellence in computing, as in other fields. We are all responsible for ensuring that our class and the Collaboration Center remain spaces in which everyone can learn, particpate, and contribute to each other's learning experiences.