OVERVIEW OF REQUIREMENTS
Minimum number of credits required to earn certificate: 12
Minimum Cumulative GPA required to earn certificate: 2.5
Minimum Grade requirements for courses to count toward certificate: A minimum grade of C in each course
Contact Information: Mohamad Musavi, Associate Dean, College of Engineering, 205 AMC Building, (207)581-2218, email@example.com; and Yifeng Zhu, Professor of Electrical and Computer Engineering, 271 Engineering Science Research Building, (207)581-2499, firstname.lastname@example.org
Requirements: The proposed free-standing certificate program requires the completion of 12 credits (4 courses) through a combination of 400- and 500-level courses as described in the proposed course sequence section below. A maximum of one course (or 3 credits) at 400 or 500 level may be transferred from outside of UMaine to the program for credit.
Prerequisites: Undergraduate applicants should have taken at least one course in each of the following three areas:
- college calculus (MAT 228 or equivalent),
- statistics and probability (STS 232, STS 332, STS 434, ECE 316, CHE 350 or equivalent), and
- engineering-level software programming (ECE 177, MEE 125, CIE 115, PHY 241, COS 125 or equivalent).
recommend they familiarize themselves with Python and Matlab before their first course. In addition, it is expected that students who take COS 470 should have COS 226 (data structures
and algorithms) or equivalent.
- Gain sufficient knowledge of AI methods for developing engineering applications based on modern AI tools.
- Develop skills necessary for analyzing and processing data, and designing, implementing, and testing AI methods using available tools such as Matlab and Python.
- Establish suitability and validation of AI methods for engineering applications.
The courses completed for this certificate program may be counted towards an undergraduate or graduate degree per the guidelines of the respective undergraduate or graduate degree program.
The program shall be completed within 3 years from the date of acceptance into the program.