The 9th Computer Science Advisory Board (AB) meeting at California State University Channel Islands took place on May 13, 2022, 1:00-2:00pm, followed by the Capstone Showcase in the Sierra Hall lobby.
The chair of the AB is Chris Meissner (photo left), who introduced the meeting. As there were construction closures on campus, some AB members did not make it to the meeting, but were able to attend the Capstone showcase which followed immediately 2:00-3:00.
Michael Soltys, the chair of the department of Computer Science, gave a short update on the department including the enrollment numbers:
Professor Jason Isaacs is going to be sending an email to the AB to review the Program Educational Outcomes (PEOs), which is one or the roles of the AB for ABET accreditation. The last time the PEOs were examined was at the 3rd AB meeting in November 2018.
Eric Kaltman discussed his work on revamping the Minor in Gaming, a popular minor with students; and a great way of attracting students to the Computer Science department. The slides of the presentation are given at the end of this page.
Timur Taluy from FileYourTaxes gave a presentation on his company, its recent fast growth, and mentioned how CI students were hired over the years, both as interns and permanent employees, and about the deployment of AWS cloud technology (which we teach at CI) to meet the sudden spikes in demand (especially around tax day every year) without making permanent capital investments in hardware infrastructure.
Sam has always been interested in puzzles, riddles, and brain teasers. When he was young, he enjoyed taking everything apart to see how it worked, often forgetting to put things back together. As he got older this desire to understand how things work became a fascination with tech in general, so when the time was right he enrolled in community college to study Computer Science.
Sam is now a Senior in Computer Science at CI, graduating in December 2021. During the summer 2021, Sam did an internship as a Software Developer at GBL Systems, where he participated in a large scale software development effort, using the Agile methodology, and CI/CD. Sam became enthusiastic about programming, and has contributed several tickets, and many technical solutions, to the project.
Travis Chamness is a software development intern at GBL systems, assisting in the review of active systems.
Travis is a senior student at CI, majoring in Computer Science. His LinkedIn profile can be seen here, and he has an active GitHub repository that can be visited here.
I discovered computer science to be the most interesting major I had investigated after switching my academic major seven times. What resonated with me about computer science was the depth of knowledge needed, the creativity employed, and a need for deep work. These characteristics are what drive me in all of my hobbies whether it is surfing, guitar, culinary, or anything else I choose to do with my time. While in my undergraduate program at CI I worked as a peer-led team leader for COMP 105, 150, and 151. This was opportunity for me to share knowledge and passion as well as to help bond the Channel Islands computer science community.
In this paper a Machine Learning framework for predicting enrollment is proposed. The framework consists of Amazon Web Services SageMaker together with standard Python tools for Data Analytics, including Pandas, NumPy, MatPlotLib and Scikit-Learn. The tools are deployed with Jupyter Notebooks running on AWS SageMaker. Based on three years of enrollment history, a model is built to compute — individually or in batch mode — probabilities of enrollments for given applicants. These probabilities can then be used during the admission period to target undecided students. The audience for this paper is both SEM practitioners and technical practitioners in the area of data analytics. Through reading this paper, enrollment management professionals will be able to understand what goes into the preparation of Machine Learning model to help with predicting admission rates. Technical experts, on the other hand, will gain a blue-print for what is required from them.
Sarah Hassan is a 2021 graduate with a BS in Computer Science and a minor in both Visual Media Communication and Mathematics. During her years at CSUCI, Sarah was working part-time at her local Apple Store as a Technical Specialist. While working at Apple and being a fresh graduate, she was granted the opportunity to partake in what is known as a Career Experience, an opportunity for employees to experience a new role while contributing to important projects at Apple. Her role is a Siri Experience Prototyper in the Siri Conversational Interaction team. Sarah believes that her Capstone project (an iOS application) was able to leave a good impression during her interviews along with her graphic design knowledge. She was able to share her link to her Capstone project and discuss technical/design challenges she’s faced while also sharing graphic design work she has done at CSUCI.
Please help us make our students’ Virtual Capstone Showcase a special occasion by visiting the sites of their projects, and leaving a comment. Our students have worked hard to meet the demands of a senior capstone project, in difficult circumstances, and they are facing a challenging job market (although Computer Science is doing relatively well even in the COVID19 economy). It will encourage them to have your feedback, as industry leaders.
As educators, we need to approach the transition to online teaching as permanent change and innovate for the future. At California State University, we have moved to virtual instruction repeatedly throughout the last five years for a variety of reasons. I encourage educators to have an online version for all your classes, not only for emergencies, but also to be responsive to students who want online offerings.