Graduate Certificate in Engineering Applications of Artificial Intelligence
Driven by rapid advances in new algorithms, big data, and computational power, Artificial Intelligence is revolutionizing every aspect of our daily lives. This includes applications in engineering domains, such as smart manufacturing, industry 4.0, autonomous vehicles, smart grids, and internet of things (IoT). According to PwC Global Artificial Intelligence study, it is expected that over the next ten years AI will contribute $15.7 trillion dollars to the global economy boosting GDP for local economies by 26%. The Burning Glass Program Insights Reports for AI and Machine Learning reflect that in Maine there were 116 job postings in machine learning in the last 12 months with an average salary of $114,000 with 102.5% job posting growth by 2023. More than 50% of these jobs are in the manufacturing sector where engineering applications of AI can increase productivity, resilience and adaptability of various processes. With AI playing such a critical role in the growth of the Maine economy, this certificate will provide invaluable insight and hands-on experience with this technology for the engineers of the future.
The University of Maine has historically maintained a significant presence in AI with the development of related courses such as Artificial Neural Networks, Deep Learning, Fuzzy Logic, and Robotics. This certificate program will address embrace the many ways that this technology can be applied to engineering for the benefit of industry professionals as well as undergraduate and graduate students. Students will develop the capabilities of applying AI tools and appropriate approaches to solve practical problems in various engineering disciplines.
Why get your Graduate Certificate in Engineering Applications of Artificial Intelligence
While there are many different options for attending graduate school, The University of Maine is the only college to offer a graduate certificate covering the engineering applications of artificial intelligence in the state of Maine. The department is proud to prepare you to embrace artificial intelligence and help to power the future of engineering.
Requirements
This 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. Graduate students will earn a certificate with the lowest acceptable grade of C in a maximum of one course. At least three of the completed courses (9 credits) must be at 500-level. The program shall be completed within 3 years from the date of acceptance into the program.
Prerequisites
Class assignments in core courses listed below will use Python or Matlab. If students have extensive programming experiences in a different language (C/C++/Java/JavaScript/Perl/R), we 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.
For graduate students and professionals, an earned baccalaureate degree or its equivalent in a STEM discipline from an accredited college or university is required for admission. A minimum grade point average of 2.5 applies to all candidates and minimum TOEFL score of 80 (IbT), 6.5 (IELTS) or 60 (PTE Academic) are required for international students.
The courses completed for this certificate program may be counted towards a graduate degree per the guidelines of the respective graduate degree program.
what will i study?
This program requires the completion of 12 credits of coursework (4 courses) divided into two categories of core and elective courses as described below. Elective courses are classified into two categories: either (Category I) expose a new perspective of AI to increase the breadth, such as Fuzzy Logic, or (Category II) create an opportunity to apply AI to specific applications. All electives involve a course project, such as robotics and medical image analysis. All students in this certificate program must apply appropriate AI approaches learned from core courses to projects in elective courses.
Core Courses
ECE 490/5901 Neural Networks
COS 470/5702 Introduction to Artificial Intelligence
ECE 491/5913 Deep Learning
Elective Courses (Category One)
COS 470/570 Introduction to Intelligence
ECE 490/590 Artificial Neural Networks
ECE 5774 Fuzzy Logic
COS 475/5755 Machine Learning
Elective Courses (Category Two)
ECE 5336 Advanced Robotics
MEE 4447/5518 Robot Dynamics & Control
ECE 4179 Introduction to Robotics
MEE 459/55910 Engineering Optimization
CIE 52111 Civil Engineering Systems and Optimization
BEN 451/55112 Biological and Medical Image Analysis I
BEN 452/55213 Biological and Medical Image Analysis II
