Computer Engineering Technology, A.A.S.

Program Description

The Computer Engineering Technology, A.A.S program prepares students for careers in computers, networking and Internet-of-Things (IoT) fields. Students acquire a general background in electronics, software, computers, communication networks, as well as IoT technologies and applications. In addition, students receive specialized training in the assembly, configuration, diagnosis, and repair of personal computers. Students planning to pursue a bachelor’s degree in Computer Engineering Technology or related programs at four-year institutions should work closely with the department and college advisors to meet the requirements of the transfer institution. Students may take courses within this program to prepare for industry certifications from the Computing Technology Industry Association, such as CompTIA A+ certification and CompTIA Network+ certification.

Program Outcomes

Graduates of the Computer Engineering Technology, A.A.S. will be able to:

• Analyze all types of AC and DC circuits using various methods of circuit analysis.
• Utilize operating systems such as Windows and Linux used on personal computers and servers.
• Design, analyze, and troubleshoot standard digital circuits.
• Create programs for a microprocessor or microcontroller.
• Analyze and troubleshoot computer hardware and software through system organization, data representation, memory management, and interrupts.
• Configure, test, monitor and maintain small- to medium-sized communication networks.
• Install, test, maintain, and secure Internet of Things (IoT) hardware and software components.
• Analyze issues to resolve IoT device or application related problems.
• Provide a well-documented solution for a novel technical problem.

General Education Courses

The list of general education courses appears in the General Education List . Some programs recommend or require specific courses to fulfill general education requirements. Please check your program’s sequence of study for this information.

Sequence of Study - Computer Engineering Technology A.A.S.

Below are the required courses for your program arranged in a suggested sequence. Please note that the sequence does not include developmental coursework. See Academic Preparation  for the developmental course sequence if applicable to you.

Required Courses (in expected order)

• INT-1010 Introduction to Information Technology Credits: 3 (Computer Literacy Institutional Requirement)
• EGL-1010 Composition I: Expository Writing Credits: 3 (English General Education Requirement)
• PAS-1000 First Year Experience Credits: 1 (Institutional Requirement)
• SOC-1010 Introduction to Sociology Credits: 3 (Social Science General Education Requirement)
• MAT-1350 Precalculus Part I Credits: 3 (Mathematics Gen. Ed. Requirement)
• INT-1111 Programming Logic and Design Credits: 3 (Program Requirement; Critical Course)
• INT-1700 Understanding Operating Systems Credits: 3 (Program Requirement)
• PHY-1570 Technical Physics Credits: 4 (Science w/ Lab General Education Requirement)
• COM-1010 Foundations of Communication Credits: 3 (Arts/Humanities Gen. Ed. Requirement)
• ENT-1730 DC and AC Circuit Analysis Credits: 3 (Program Requirement)
• EGL-1340 Writing About Technical Topics Credits: 3 (English General Education Requirement)
• ENT-1810 Internet of Things Fundamentals Credits: 3 (Program Requirement)
• ENT-2740 Digital Circuits Credits: 4 (Program Requirement)
• INT-1550 Introduction to Networks- Network Plus Prep Credits: 3 (Program Requirement)
• INT-1540 Computer Hardware I: A Plus Preparation Credits: 4 (Program Requirement; Critical Course)
• INT-2540 Computer Software: A+ Preparation Credits: 4 (Program Requirement)
• ENT-2820 Internet of Things Devices and Technologies Credits: 3 (Program Requirement)
• INT-2840 Systems Analysis and Project Management Credits: 4 (Program Requirement)

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• INT-2719 AWS Cloud Computing Architecture Credits: 4 (Program Elective) or
• ENT-2810 CPU Architecture Credits: 4 (Program Elective) or
• INT-1903 Introduction to Artificial Intelligence and Machine Learning Credits: 3 (Program Elective) or
• INT-2688 Cloud+ Preparation Credits: 3 (Program Elective)

Program Total: 60-61 Credits

Transferability

Credit earned at any public institution in the state shall be transferable to any other institution if the:

• Credit is from a college or university parallel course or program;
• Grades in the block of courses transferred average 2.00 or higher; and
• Acceptance of the credit is consistent with the policies of the receiving institution governing students following the same program. Refer to ARTSYS at artweb.usmd.edu and the receiving institution’s catalog to select transferable courses.

Need Help?

For help selecting an academic program or courses, consider using Career Coach, available at www.pgcc.edu/go/careercoach.