Associate Degree Specialization in Machine Learning and Design Techniques

Program Overview

DeVry University's Associate in Engineering Technology program with a specialization in Machine Learning and Design Techniques equips students with hands-on experience in cutting-edge technologies, such as CAD and machine learning, to solve complex problems in manufacturing and production. Upon completion, students are eligible for careers as Engineering Technicians in various fields, including Electrical Engineering and Manufacturing Engineering.

Program Outline

Degree Overview:

The Associate in Engineering Technology Program with a specialization in Machine Learning and Design Techniques at DeVry University aims to build a foundation of interdisciplinary skills needed for the Internet of Things (IoT) economy. The program focuses on providing students with hands-on experience using cutting-edge technologies, including computer-aided design (CAD) for 3D modeling, developing and training machine learning models, and applying linear regression for predictions. The curriculum is designed to equip students with skills in operating systems, programming, hardware, connectivity, and security. The program's objective is to prepare students for careers utilizing advanced tools to solve problems in manufacturing and production. The program is accredited by The Engineering Technology Accreditation Commission of ABET (ETAC of ABET). A complimentary laptop is provided to students. Qualified students may receive up to a $300 reimbursement for the cost of one industry-recognized certification exam. Students can complete the program in as little as 1 year and 4 months (minimum schedule) or 2 years (normal schedule).

Outline:

The Associate in Engineering Technology Program with a Machine Learning and Design Techniques specialization consists of a minimum of 64 credit hours, divided into:

• General Education (Essentials):
26 credits
• Tech Core:
12 credits
• Program Focus:
15 credits
• Career Preparation:
1 credit
• Specialization:
10 credits The specialization covers skills such as:
• Design and Modeling:
Using CAD software for system generation, modification, and optimization.
• Process Improvements and Machine Learning:
Applying process improvement methodologies to enhance system performance.
• Communication Methods and Findings:
Communicating research methods and recommendations.
• Collaboration in Dynamic Work Environments:
Collaborating with colleagues in various locations.

Careers:

The Machine Learning and Design Techniques specialization prepares students for careers such as:

• Electrical Engineering Technician
• Field Service Technician
• Engineering Technician (General)
• Manufacturing Engineering Technician/Industrial Engineering Technician
• Electro-Mechanical/Mechatronics Technicians
These roles often involve assisting engineers, designing and testing equipment, performing maintenance and repairs, and applying engineering principles to solve problems in manufacturing and production.

Other:

• The program's history is mentioned, highlighting DeVry's long-standing experience in engineering technology education since 1955.
• The program's curriculum is described as modern and designed to meet the challenges of the 21st century.
• The program includes a complimentary laptop (issued in the second session) and potential certification exam reimbursement.
• The program's curriculum is described as "industry-aligned".