Applied Artificial Intelligence

Catalog Description

The Computer Science Information Systems curricula provides a foundation in computing and information

systems serving the diverse goals of the Grossmont community: employment in various phases of the

computing industry, transfer to a baccalaureate institution for continued study in the computer and information

sciences, training in selected topics for application in other professions or for personal enrichment, and

advanced study for returning computing professionals. Throughout, emphasis is placed on blending

fundamental theory and technique with practical applications in business, scientific and academic computing.

A guiding principle is the use of intense hands-on instruction with state-of-the-art computer technology.

Three related but distinct areas of emphasis designed to provide corresponding job entry points are available

as two-year curricula: Computer Vision, Natural Language Processing, and Deep Learning. Completion of

the Computer Science Information Systems core courses or their equivalent plus any one area of emphasis

satisfies the major requirements for the Associate Degree.

An area of emphasis leading to an entry level position which specializes in artificial intelligence or machine

learning. Students completing this sequence will be expected to assist data analysts, data driven decision

making, and automation for small, medium, and large-sized organizations.

Program Student Learning Outcomes (PSLOs):

Students will utilize the latest AI tools and frameworks to solve problems, automate processes, and analyze

data.

1. Analyze and evaluate machine learning and artificial intelligence frameworks that best fit a problem,

data set, or process automation in a business and/or scientific environment.

2. Design a technologically feasible and efficient solution.

3. Standup and implement the solution.

4. Demonstrate and explain the solution.

The estimate for the 2025 Cohort will be 25-30, then 30-50 after that.

Vision 2030: A Roadmap for California Community College Page #13

STRATEGIC DIRECTION 3: THE FUTURE OF LEARNING

Generative artificial intelligence (AI) provides powerful new capabilities with tremendous

implications for higher education. Use of tools such as ChatGPT has taken off among college

students. This has raised both concerns about undermining learning as well as presenting

new opportunities to enhance learning. It is critical that policy and practice concerning AI is

centered in both human oversight and a deep commitment to diversity, equity and inclusion.

While AI holds great promise as a tool to eliminate equity gaps, it could also quite easily

replicate biases, such as through uneven access by following the fissures of the pre-existing

digital divide.

California community colleges should be leaders in this space. We are committed to staying

ahead of the curve on the evolving landscape of learning and support for our students. To

quote the governor who signed an Executive Order on Sept. 6, 2023: “We’re taking a cleareyed,

humble approach to this world-changing technology. Asking questions. Seeking

answers from experts. Focused on shaping the future of ethical, transparent, and trustworthy

AI. Doing what California always does – leading the world in technological progress.”

There are numerous areas of opportunity, including:

• Increasing adaptive teaching and learning. AI is capable of creating a customized — and

therefore highly engaging — learning experience by adapting to a student’s learning

process in real time.

• Expanding the ability to provide crucial feedback to learners. AI can greatly increase the

quantity of highly germane feedback, expanding opportunities for students to learn and

improve their skills.

• Offering innovation and new capabilities to educators and learners. Educators can

customize and design additional tools that utilize AI to improve the speed with which they

accomplish routine tasks, freeing up time to engage and support their students.

The Artificial Intelligence curriculum within the Computer Science Information Systems program at Grossmont College equips students with a robust foundation in AI and machine learning, preparing them for entry-level positions in various organizations. With a focus on hands-on instruction using state-of-the-art technology, students explore three specialized areas—Computer Vision, Natural Language Processing, and Deep Learning. The program emphasizes the integration of theoretical knowledge with practical applications, enabling students to analyze and evaluate appropriate AI frameworks, design efficient solutions, implement them, and effectively communicate their findings. Students may earn both noncredit and credit courses, culminating in an Associate's degree, certificate of proficiency, and/or certificate of achievement, ensuring they are well-prepared to assist in data-driven decision-making and automation across diverse sectors.