Pennsylvania State University-Penn State Erie-Behrend College · Courses
AIMA
16 courses with the subject AIMA, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
AIMA 197Special Topics1-9
/Maximum of 9 Formal courses given infrequently to explore, in depth, a comparatively narrow subject that may be topical or of special interest.
/Maximum of 9 Formal courses given on a topical or special interest subject offered infrequently; several different topics may be taught in one year or semester. This Special Topics is a GenEd course.
/Maximum of 18 Creative projects, including research and design, that are supervised on an individual basis and that fall outside the scope of formal courses.
/Maximum of 18 Creative projects, including research and design, that are supervised on an individual basis and that fall outside the scope of formal courses. Undergraduate - The Pennsylvania State University 2026-2027 3659
Artificial Intelligence (AI) is an interdisciplinary field concerned with the study of computational models of intelligence; design, implementation and application of intelligent systems/agents; exploring the design space of intelligent systems/agents; and ultimately, augmenting and extending human intellect and abilities. AI involves both algorithms and systems, with a focus on endowing computers with human-like intelligence to solve problems. This course is the first of a two-semester capstone for the Bachelor of Science in Artificial Intelligence Methods and Applications major. The goal of this course is for students to demonstrate their ability to (1) map a real-world problem that requires an AI solution (e.g., learning, inference, automated or semi-automated decision making, etc.) to an AI formulation of the problem, (2) design and prototype an initial AI solution to the problem using AI problem- solving methods, knowledge representation, machine learning, model- based inference, and automated decision making, based on concepts, techniques, and algorithms learned from at least two AI courses (e.g., A- I 370, A-I 375, and DS 310/CMPSC 448/CMPSC 445). Furthermore, this first AI capstone course introduces students to the basics of project management, including, but not limited to, creating and refining, if needed, the scope, the tasks, and milestones of the project, as well as roles and responsibilities of each team member. Capstone projects are typically group-based, consisting of 2-4 members. Capstone projects can be initiated from various sources: instructor-initiated projects, student-proposed projects, and industry partner-initiated projects. The applications for the projects can range from personalized recommender systems and object recognition in images to stock price prediction, traffic pattern recognition, computerized assistance for medical diagnosis, and pathfinding for robots, among others. The students of this first AI capstone course will also be using a project management tool to facilitate teamwork, to uncover risks early, and to investigate suitable adaptation strategies. Enforced Prerequisite at Enrollment: (DS 310 or CMPSC 448 or
Artificial Intelligence (AI) is an interdisciplinary field concerned with the study of computational models of intelligence; design, implementation and application of intelligent systems/agents; exploring the design space of intelligent systems/agents; and ultimately, augmenting and extending human intellect and abilities. AI involves both algorithms and systems, with a focus on endowing computers with human-like intelligence to solve problems. This course is the second of a two-semester capstone for the Bachelor of Science in Artificial Intelligence Methods and
/Maximum of 18 Creative projects, including research and design, that are supervised on an individual basis and that fall outside the scope of formal courses.