Artificial Intelligence/Machine Learning Minor

Location(s): West Lafayette

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About the Minor

The Artificial Intelligence and Machine Learning minor gives students a grounding in the fundamental concepts underlying modern AI and Machine Learning approaches and systems. It covers both the mathematical background as well as programming, and allows students to branch out and draw on courses across the spectrum of AI and ML topics.

Applying for the Minor

Before applying for this minor, students must have completed MA 16500, MA 16600, and PHYS 17200 (or their equivalents) with a ‘C-’ grade or better in each.
All requisites for these courses must be met in order to enroll in these courses (non-engineering students may apply for a prerequisite override for ENGR 13100 in ECE 20001). Click each course to see the required requisites. These requisites may include CS 15900, MA 16100/16500, MA 16200/16600, MA 26100, MA 26500, MA 26200/26600, PHYS 17200, and/or PHYS 24100/27200, as necessary.
Transfer credit may be accepted for up to two of the “Required Courses” (this includes the regional campuses, and study abroad credit).
A minimum overall GPA of 2.000 is required in ECE courses to qualify for the minor. Approval of the ECE minor may be revoked if the ECE GPA falls below 2.000.
Enrollment in all ECE courses is subject to space availability. Students requesting space in restricted ECE courses must submit an application and may need to wait until ‘Open Enrollment’ to register. Electrical Engineering and Computer Engineering majors are given priority.

Requirements for the Minor (18 credits)

Required Course (3 credits)

ECE 20875 - Data Science Using Python Credit Hours: 3.00

Selectives (15 credits)

A minimum of two courses must be completed from each of the below sections; however, combined with the above required course, all must total 18 credits. This means that a third course will need to be completed from at least one of the sections below.

Core Courses (6-9 credits)

ECE 20869 - Discrete Math For Computer Engineering Credit Hours: 3.00
ECE 26400 - Advanced C Programming Credit Hours: 3.00
ECE 30100 - Signals And Systems Credit Hours: 3.00
ECE 30200 - Probabilistic Methods In Electrical And Computer Engineering Credit Hours: 3.00
ECE 36800 - Data Structures Credit Hours: 3.00

Selective Courses (6-9 credits)

ECE 43800 - Digital Signal Processing With Applications Credit Hours: 4.00
ECE 50024 - Machine Learning Credit Hours: 3.00
ECE 56900 - Introduction To Robotic Systems Credit Hours: 3.00
ECE 40875 - Data Mining Basic Concepts And Techniques Credit Hours: 3.00 or
ECE 50836 - Introduction To Data Mining Credit Hours: 3.00
ECE 47300 - Introduction To Artificial Intelligence Credit Hours: 3.00 or
ECE 57000 - Artificial Intelligence Credit Hours: 3.00

Pre-Requisite Information

For pre-requisite information, log in to mypurdue.purdue.edu and click here.

Disclaimer

The student is ultimately responsible for knowing and completing all degree requirements. Consultation with an advisor may result in an altered plan customized for an individual student. The myPurduePlan powered by DegreeWorks is the knowledge source for specific requirements and completion.

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