Shiley School of Engineering aims to answer this question with a new AI miner.
The university has been offering courses that explore the fundamentals of AI systems since 2018, the first semester in which computer science faculty compiled a series of 12 credit miners courses.
Tammy Vandegrift, interim dean of Shiley School of Engineering and professor of computer science, says minors are deeper than AI trends.
“AI is much broader than ChatGpt,” Vandegrift said.
In fact, AI is older than some people think and has developed over decades. After Openai launched a free demo version of ChatGPT, users began to acknowledge the generated AI and emerged everywhere.
Vandegrift says that basic techniques of AI and machine learning, such as model construction and probability theory, will be applied in new ways thanks to technological development.
“This is used in ways that allow data to be stored in a way that could not be saved previously, so these techniques are applied in slightly different ways. [and] Vandegrift has access to data he has never accessed before.
Minors are open to all students regardless of major and are designed to complement most disciplines, according to Andrew Nuxoll, an associate professor of computer science and department chair.
“Computer science is like chocolate. [else]Nuxoll said.
For those entering the field without prior experience, introductions to computer science courses provide an opportunity to taste what minors look like.
Top division courses, such as the Computer Science Seminar, are built on their basic knowledge, including materials for experts in programming, mathematics and ethical dilemma AI to meet.

Professor Andrew Nuxoll runs tournaments for student work.
The curriculum emphasizes AI models based on decades of research. For example, in CS 421, a Nuxoll AI class, students work on a game called Reantics. This is a two-player game in which at least one player is AI.
“In fact, there are custom environments that are used in the class,” says Nuxoll. “This is a game that is easy to play with writing AI, but is so complicated that it's difficult to write effective AI.”
Despite the fact that minors are new, students are already looking forward to proclaiming it.
Two junior computer science majors, Changenly and Joshua Krasnogorov, recently set up appointments with academic advisors to declare minors.
Li hopes that minors will boost their resumes as their employers are trying to use AI in businesses and organizations.
“A lot of companies, they want to move towards AI. I feel that keeping up with that demand is a skill that needs to be met. There aren't many engineers who know a lot about AI and how to create it,” says Li.
Krasnogorov explains that AI programming is easier than it looks, especially for those with mathematics basics.
“This is an oversimplification, but it's all about matrix growth,” Krasnogorov said. “And when you get to it, it's all linear algebra. But you don't need to be very mathematically to get it. It's just a syntax.”
Li says that while mathematics majors may benefit from their expertise in linear algebra or coding, other majors may find AI useful in the field.
“AI in the medical field, especially machine learning, can detect certain cells from images that some doctors may have missed,” Li said. “I think AI is very good. I think it will benefit society.”
Krasnogorov also encourages his peers to try out AI miners.
“I know there are clever people who can get almost anything. If that's one of the things you can get into the subject and learn it very quickly, why not?” Krasnogorov said. “To the dean of the department [and to] Anyone who made it happen, I would like to thank you. Because it's a minor that's really useful for computer science students. ”
Regina Castillo is a Beacon news reporter. You can contact her Medinaca27@up.edu.
