Pushing the Envelope – Innovative Courses in Computing

We have also created the Innovations in Computing Courses program to spark interest in computing and bring diverse topics into our academic offerings. The application process is competitive. Faculty must apply to teach an innovative course and prove the importance of the proposed topic. Class size is smaller, with only 15 students, and the college supplies limited funding for equipment. The interest that these courses have generated, as well as participation rates, led us to make some of them permanent courses. We plan to continue this initiative in future semesters.

Spring 2025 Special Topic Courses

Each semester we offer multiple special topic course. See details on what we are offering for Spring 2025 below!

All majors are welcome to register for these courses.

  • CRN: 17112

    This course focuses on AI-driven, self-controlling network softwarization for nextgeneration networks beyond 5G and 6G. It covers engineering principles such as wireless beam steering control and radio channel conditions including IoT sensors, emphasizing network intelligence for automating the optimization of wireless networks. Students will explore the latest developments in network softwarization and AI technologies, enabling them to design and deploy advanced network solutions for future communication systems.

  • CRN: 17150

    This course teaches the fundamentals of generative artificial intelligence (AI), including foundational and intermediate prompt engineering methods for deferent outputs, such as business, technical writing, education, and engineering contexts. In this course, students will learn how to leverage effective prompt engineering methods for productive communication in multiple academic and professional disciplines.

  • CRN: 17057

    This course explores the integration of human and machine intelligence in decision-making across various sectors. It covers key topics such as the psychological and societal impacts of AI, biases and fairness, transparency, human-AI collaboration, and design principles for AI user experiences. Students will examine real-world applications like social media, labor platforms, and public decision-support tools. Through interdisciplinary projects, they will critically analyze current AI systems, assess their human impact, and design new, human-centered solutions.

You can find a history of prior offerings and a list of the most recent offerings below.

Summer 2023 - Kimberly Gardener and Gita Taasoobshirazi, "Introduction to Digital Methods"
Spring 2023 - Henrik Warpefelt, "Interaction in Games"
Fall 2023 - Sungchul Jung, "Learning Metaverse in Metaverse Space"