Computer Engineering

Advanced Topics
Digital Logic Design
Embedded System Design
Machine Intelligence

Computer Engineering is a high-quality program focused on education, professional development, and research to prepare outstanding Computer Engineering graduates and to provide service to the community. The program is interdisciplinary and encompasses a range of disciplines including engineering, science, and mathematics. The program educates students in the fundamental core of Computer engineering and its cutting-edge, high-impact areas.

Advanced Topics

For students who like to explore, the Advanced Topics “concentration” enables you choose up to twelve hours from electives or other concentration courses to fill out your program.

Digital Logic Design

Digital Logic Design is the design of circuits and systems that form the base of all electronics. A combined discipline of electrical and computer engineering, digital logic design is used to develop intricate hardware, such as circuit boards and microchips, for computers, navigational systems, cell phones, robotics, and other high-tech systems. The Digital Logic Design program in the Computer Engineering Department will give you a strong foundation in logic principles, practical experience in programming digital circuits, and hands-on training in electrical component integration for a high-powered career in high tech.

Embedded System Design

Embedded systems are designed to handle a particular task within a larger mechanical or electrical system. The field of embedded systems design unifies hardware and software development and spans microprocessor-based control systems, system-on-chip (SoC) design, and device software. Today’s embedded systems are everywhere: hybrid vehicles, airplanes, medical equipment, traffic lights, factory controllers, videogame consoles, and digital cameras. The Embedded Systems Design program in the Computer Engineering Department will give you hands-on training in programming and analyzing embedded devices, using design automation tools, and experimenting with the latest embedded technologies.

Machine Intelligence

Machine Intelligence is a branch of computer engineering that applies methods of computation to replicate, and sometimes surpass, human intellectual functions. The field seeks to advance machine learning, reasoning, and self-correction, as well as the abilities of machines to perceive, move, manipulate and communicate. The Machine Intelligence program in the Computer Engineering Department will give you a foundation in programming strategies for machine learning and pattern recognition, as well as the opportunity to design your own intelligent machines, to prepare you for a career in building the stuff of science fiction.

Florida Common Prerequisites

Students who started as freshmen at Florida Poly (native students) must complete general education requirements and the following courses to enter the degree program as a junior:

CHM 2045 - Chemistry 1 Credits: 3
CHM 2045L - Chemistry 1 Laboratory Credits: 1
COP 2271C - Introduction to Computation and Programming Credits: 3
EEL 3111C - Circuits 1 Credits: 4
EEL 3112C - Circuits 2 Credits: 3
MAC 2311 - Analytic Geometry and Calculus 1 Credits: 4
MAC 2312 - Analytic Geometry and Calculus 2 Credits: 4
MAC 2313 - Analytic Geometry and Calculus 3 Credits: 4
MAP 2302 - Differential Equations Credits: 3
PHY 2048 - Physics 1 Credits: 3
PHY 2048L - Physics 1 Laboratory Credits: 1
PHY 2049 - Physics 2 Credits: 3
PHY 2049L - Physics 2 Laboratory Credits: 1

Transfer students must meet general education requirements and satisfy the following Florida State Common Prerequisites to enter the degree program as a junior:

CHM 2045/2045L

or CHM X045C
or CHS X440/X440L(1)
or CHS X440/CHMX045L

& COP 2271C

& EEL 3111C

or EEL X111/X117L

& EEL 3112C

& MAC 2311

or MAC X281

& MAC 2312

or MAC X282

& MAC 2313

or MAC X283

& MAP 2302

or MAP X305

& PHY 2048/2048L

or PHY X048C
or PHY X043/X048L
or PHY X053/X053L

& PHY 2049/2049L

or PHY X049C
or PHY X044/X049L
or PHY X054/X054L

(1) With consent of instructor

Learning Compact

Florida Polytechnic University’s Academic Learning Compact describes what students, who follow the major’s study plan, will know and be able to do. These are listed as core student learning outcomes.

College:	Engineering
Program:	Computer Engineering
Purpose of the Program:	Computer Engineering is a high-quality program focused on education, professional development, and research to prepare outstanding Computer Engineering graduates and to provide service to the community. The program is interdisciplinary and encompasses a range of disciplines including engineering, science, and mathematics. The program educates students in the fundamental core of Computer engineering and its cutting-edge, high-impact areas.
Graduates of the program will demonstrate the following:	Graduates of the Computer Engineering program will demonstrate the following: a) An ability to apply knowledge of mathematics, science, and engineering b) An ability to design and conduct experiments, as well as to analyze and interpret data c) An ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability d) An ability to function on multidisciplinary teams e) An ability to identify, formulate, and solve engineering problems f) An understanding of professional and ethical responsibility g) An ability to communicate effectively h) The broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context i) A recognition of the need for, and an ability to engage in life-long learning j) A knowledge of contemporary issues k) An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.

Core Learning Outcomes:

Student Learning Outcomes	The Outcomes Involve These Skills:
Upon completion of the Computer Engineering Degree in the College of Engineering, students will possess:	Content	Critical Thinking	Communication
a) An ability to apply knowledge of mathematics, science, and engineering	X
b) An ability to design and conduct experiments, as well as to analyze and interpret data		X
c) An ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability		X
d) An ability to function on multidisciplinary teams			X
e) An ability to identify, formulate, and solve engineering problems		X
f) An understanding of professional and ethical responsibility	X		X
g) An ability to communicate effectively			X
h) The broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context		X
i) A recognition of the need for, and an ability to engage in life-long learning	X
j) A knowledge of contemporary issues	X
k) An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.	X