Teaching Experience

CPSC 393: Machine Learning

Undergraduate, Chapman University |Spring 2026 

This course introduces fundamental machine learning concepts and techniques, including data preprocessing, supervised and unsupervised learning, decision trees, neural networks, deep learning, and ensemble methods. Students gain hands-on experience using Python and Jupyter Notebooks to analyze real-world datasets, evaluate model performance, and apply machine learning solutions through practical case studies. (3 credits)

CPSC 408: Database Management

Undergraduate, Chapman University |Spring 2026

The course emphasizes database design, relational data modeling, and the development of database-driven applications in a client-server environment. Students learn foundational data management concepts, including how data is represented, organized, and structured within application and system software. Students use SQL as the primary query language to create, manipulate, retrieve, and manage data effectively. (3 credits)


EENG 300: Electronics and Circuits II

Undergraduate, Chapman University |Fall 2025, Spring 2026

This course provides a comprehensive transition from the DC analysis of circuits to the AC, diving deep into the details of AC circuit analysis. The course offers an in-depth exploration of operational amplifiers, AC power, frequency responses, and filter applications. Additionally, it introduces the powerful technique of circuit analysis using the Laplace transform. (3 credits)


CPSC 308: Enterprise Data Management

Undergraduate, Chapman University |Fall 2025

This is an introductory course on data management, with emphasis on database systems for organizations. Students learn the fundamentals of data storage and retrieval, gaining hands-on experience with the SQL and a contemporary relational database management system. (3 credits)


Grand Challenges Initiative Courses

Undergraduate, Chapman University |Fall 2024, Spring 2025 

The Grand Challenges Initiative is a four-course, interdisciplinary undergraduate sequence at chapman University in which students work in teams to address complex national and global challenges through science, engineering, innovation, and research. Across the sequence, students develop skills in information literacy, problem-solving, teamwork, project planning, data analysis, and scientific communication. 


This course introduces first-year students to the Grand Challenges Initiative and serves as the foundation for the full project sequence. In this course, students form interdisciplinary teams, select a grand challenge topic, and begin working with a research mentor. By the end of the course, each team develops a written project plan that outlines its goals, milestones, and proposed direction for future work. (3 credits)


In this course, student teams build on the work completed in FFC 100B by refining their project ideas, conducting deeper research, and beginning to pilot possible solutions.  The major outcome of the course is an in-depth research proposal that describes the team’s project goals, planned methods, timeline, and funding request for supplies needed in the second year. (1 credit) 


During this course, teams conduct much of the hands-on work for their project, including designing, testing, collecting data, and analyzing results. Students also begin working with an outside mentor who provides additional expertise related to the specific focus of their project. By the end of the semester, each team completes a project milestone developed in consultation with its instructor, team members, and mentor. (1 credit) 


In this final semester, student teams complete their projects, finalize their analysis, and prepare to communicate their findings to a broader audience. The course emphasizes professional communication, final project documentation, and public presentation. Students present their work at a research symposium to peers, faculty, outside experts, and members of the Chapman community. (1 credit)