The Computer Science 373 syllabus is available to enrolled or registered students . Sign in to your UPI Study account to download it instantly — or enroll today to get access.
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Watch lessons, take quizzes, and pass the proctored final — fully online, on your schedule. Most students finish in 28–30 days.
UPI Study sends your official transcript directly to Woodmont College's registrar. Woodmont applies the equivalency: CPT240X – Machine Learning.
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Best if you plan to stack 3+ courses toward your Woodmont degree. All UPI Study courses included — including Introduction to Artificial Intelligence.
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Savings estimate = credits × $360, Woodmont's published undergraduate per-credit tuition (new.woodmontcollege.edu/tuition-and-fees). Under the articulation agreement Woodmont does not charge tuition for the UPI Study courses it recognizes as credit. Credit awards are subject to Woodmont's review and policy.
Introduction to Artificial Intelligence is a course about how computer systems can perform tasks that normally require human judgment, such as searching for solutions, making decisions from data, recognizing patterns, and processing language. It covers the main ideas behind AI, including intelligent agents, machine learning, neural networks, logic, probability, and natural language processing, along with the history and limits of the field.
Introduction to Artificial Intelligence (Computer Science 373) is a 3-credit course graded across four equal parts: 25% Attendance, 25% Quizzes, 25% Assignments, and 25% Final Exam. Completing the course and earning its grade produces the transcript credit that Woodmont matches to CPT240X – Machine Learning, its named course equivalency.
The course covers intelligent agents, probability, logarithmic functions, and machine learning, and it asks students to evaluate data accuracy and precision. These skills apply to technical work and to any role that depends on interpreting data-driven decisions. At Woodmont, the credit lands as CPT240X – Machine Learning, which connects directly to the BS in Technology. For the BS in Business or BS in Psychology, the exact placement depends on Woodmont's equivalency sheets, so confirm the slot before you enroll.
After you finish the course, UPI Study sends your transcript to Woodmont. Woodmont then applies CPT240X – Machine Learning to your record under the signed articulation agreement, using its equivalency sheets. Because this is a named course equivalency that maps to a specific catalog code, the credit fills a defined course requirement in your degree plan rather than an open elective slot. Woodmont accepts up to 84 credits (70%) from transfer sources, and this 3-credit course counts toward that ceiling.
This course suits adults who already hold some college credit and want a lower-cost route to a Woodmont degree, since the per-credit rate is $360 and a 3-credit course at that rate is $1,080 at Woodmont. Career changers who want a recognized machine learning credit on their record will also find it useful, because Woodmont recognizes it as CPT240X – Machine Learning rather than as a general elective. Transfer is capped at 84 credits (70%), so plan this course as one part of a larger transfer strategy. It is not the right choice for someone who wants an advanced programming course, because the outcomes are introductory and include implementing LISP and Prolog only at a foundational level.
Woodmont College recognizes UPI Study courses for credit in its undergraduate degrees under the signed articulation agreement. Each course below has the Woodmont course, general education requirement or general elective Woodmont's equivalency sheets assign it.
Transfer credits are never guaranteed. Students must be enrolled at Woodmont in good standing and meet course and program requirements. Woodmont is solely responsible for how it recognizes UPI Study courses.
Enroll for $250 (or use a UPI Study subscription), finish in 28–30 days, and transfer 3 credits to Woodmont College.