Philosophy of Teaching: I desire to create and cultivate exploration communities where students can learn and are motivated to expand their knowledge beyond the confines of any given course. My teaching philosophy is based on four principles:
I view myself as a tour guide – not a regular guide for a well-known attraction, but a guide for a mysterious and possibly demanding excursion. The best tour guides are enthusiastic and passionate about their gigs. They have a deep knowledge of the landscape and quickly highlight points of interest and things to avoid. They are aware of and support the needs of their group and strive to build a sense of camaraderie. The great ones do not coddle participants but walk a tightrope, providing them with agency, direction, and boundaries to safely explore the area.
I strive to be a teacher whose passion for computing motivates students to learn. I strive to communicate key learning outcomes and address barriers that might impede learning. Unlike a competitive environment, I seek to transform each class into a supportive community. Finally, I equip students with the tools to explore and learn outside the confines of my course.
The objective of this course is to introduce students to data visualization through the lens of data science. Students will gain experience in creating interactive visualizations in Python using a structured process based on visualization theory. .
This course provides an introduction to computer systems. It pulls back the veil and exposes students to disk operations and operating systems and the relationships between application software and computing hardware.
This is a first year course for students intending to major in computer science. It provides an introduction to the basic concepts of systematic program design. It uses the How to Design Programs curriculum.
This is a first year survey course for non-majors. It provides students with an overview of data representation, mining, visualization and the basic structure of the internet. In this course students explore the social implications of computers
This course provides an introduction to the landscape of science in an integrated manner. Students enrolled in this course get shown to address problems in an interdisciplinary context. From a computer science perspective, students learn how to use Python to address real world problems.
This course provides an introduction to the landscape of science in an integrated manner. Students enrolled in this course get shown to address problems in an interdisciplinary context. From a computer science perspective, students learn how to use Python to address real world problems.
This course provides an introduction to data analytics. Students in this course come from a myriad of backgrounds and as result course content must be made accessible and relevant to various fields.
This is a first year course for computer science students. It provides an introduction to the basic concepts of computer programming using the Python language.
This second year course, builds on the first year course and exposes students to object-oriented design
This course provides an introduction to programming. Students are exposed to the basics of programming using C++
I incorporate evidence-based strategies to improve the development and delivery of course content. (Link to Applications). For instance, research on exam wrappers and nudges inspired the content for the nudges used in CPSC 110. I improve my teaching practice on an ongoing basis by staying abreast of emerging computer science education research and undergoing training to improve my skills.