Program Mission

To educate graduates with broad background in mathematics, science, software, and hardware capable of performing successfully as computer engineers and/or pursuing graduate studies.

Program Educational Objectives

The program educational objectives for the computer engineering graduates are:

1. Establish themselves as practicing professionals and continuously evolve to meet the needs of a changing information and industry-based society, maintaining an ethical and socially responsible perspective.
2. Develop successfully as team members, leaders, and managers or entrepreneurs in the Computer Engineering arena.
3. Provide comprehensive solutions to Computer Engineering problems that leverage technological advancements.
4. Engage in professional development through a lifetime of continuing education, research, and/or graduate studies.

Student Outcomes

By the time of graduation, students of the Computer Engineering program at PUPR are expected to have attained the following:

1. an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics
2. an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors
3. an ability to communicate effectively with a range of audiences
4. an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts
5. an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives
6. an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions

7. an ability to acquire and apply new knowledge as needed, using appropriate learning strategies.

Career Opportunities

The demand for Computer Engineers continues to expand in parallel to the computer and informatics revolution that has characterized the turn of the century.  This trend is expected to continue well into the 21^st century as computers continue to impact human development in all disciplines and industries, including business, research, and entertainment.  Job opportunities exist within all kinds of businesses, given their need for and reliance on computational infrastructure, as well as in organizations specifically devoted to research and development of computer technologies.

Academic Load

The minimum full-time load per trimester is twelve (12) credit-hours.  To register for sixteen (16) credit-hours or above the student must obtain the approval of the Department Head and Dean.  Credits will not be awarded for courses in which the student is not properly registered.

Duration

The program’s curriculum format offers career-minded professionals the unique opportunity to earn a Bachelor of Science in Computer Engineering in four years, while continuing to work in their current positions. It is also suitable for full-time students who have the desire to focus their entire effort on pursuing this degree. The program may be completed in four years by enrolling in about 12 to 13 credits per trimester.

Academic Schedule

Registration for all students is held prior to the beginning of each term on designated registration days as stipulated on the Academic Calendar. Completion of registration for each term is required prior to class attendance. The academic year consists of three terms, and three summer sessions. One summer session for engineering courses, and two summer sessions for arts and sciences courses. Fall, winter, and spring classes are scheduled from 8:00 a.m. to 10:30 p.m., Monday through Thursday, and from 8:00 a.m. to 5:00 p.m. on Fridays and Saturdays. Students are required to make-up class contact hours lost because of holidays.

Developmental Studies

All students that request admission and are admitted to the Computer Engineering Program must show evidence that they have acquired the academic abilities and skills necessary to progress through this major. Those not demonstrating the complete acquisition of these abilities and skills will be required to take some of these developmental courses. Abilities and skills are demonstrated through the results of the College Entrance Examination Board Test, results in PUPR’s placement test, previous university experience, other tests, or criteria. The courses are designed to help students overcome deficiencies in languages, mathematics, and science. These developmental courses are in addition to the 149 credits of the Computer Engineering Program.  The courses are awarded their corresponding credits according to contact hours.  The courses are the following: 

Developmental Studies Component

(Maximum of 30 Credit-Hours)

Laboratories

The ECECS Department provides undergraduate laboratory and research in the following topics:  Electrical Measurements, Electronics, Power Electronics, Communications, Logic Circuits, Process Control & Instrumentation, Electromechanical Energy Conversion, Power System Analysis, Power System Protection, Computer Programming, Computer Interfacing, Computer Architecture, Computer Networks, Real Time Digital Signal Processing, Fundamentals of Digital Signal Processing, Automation Engineering, Robotic Engineering, and Plasma Engineering.

Student Organizations

The students enrolled in the department may become members of the following student organization:

• IEEE Student Branch- This is an organization for registered undergraduates currently enrolled in computer engineering programs. Branches are organized under the Institute of Electrical and Electronics Engineers, Inc., the world’s largest professional engineering society.

Degree Offered

PUPR offers a Bachelor of Science in Computer Engineering (BSCpE) degree. In order to earn the BSCpE degree, the student must complete the following requirements:

Minimum Graduation Requirements

15         Credit-hours in Mathematics

14         Credit-hours in Basic Sciences

21         Credit-hours in Socio-Humanistic Studies and Languages

  9         Credit-hours in Engineering Sciences

81         Credit-hours in Basic Computer Engineering Component

  6         Credit-hours in Computer Engineering Program Electives

  3         Credit-hours in Free Electives

149      Total Credit-hours

Computer Engineering Curriculum

(149 Credit-Hours)

Mathematics Component
(15 Credit-Hours)

Basic Sciences Component
(14 Credit-Hours)

Socio-Humanistic Studies and Languages Component
(21 Credit-Hours)

Engineering Sciences Component
(9 Credit-Hours)

Computer Engineering Core Component
(81 Credit-Hours)

Computer Engineering Technical Electives
(Must take 6 credits in technical electives to complete graduation requirements)

Notes: A student is required to select six credit-hours of available technical electives in order to acquire additional skills that reinforce the student’s knowledge in a specific area of interest.  Availability of courses COE 4902, COE 4904 and COE 4990, as well as CS 4990, EE 4990, and EE 4991, for the Computer Engineering Program students will be determined by the Program Director, depending on the specific teaching or research topic.

Free Electives
(3 Credit-Hours)
Select 3 credit-hours of free electives in any area

Computer Engineering Program Curriculum Sequence

(149 Credit-Hours)

First Year
First Quarter

1^st Year – Second Quarter

1^st Year – Third Quarter

Second Year
First Quarter

2^nd Year – Second Quarter

2^nd Year – Third Quarter

Third Year
First Quarter

3^rd Year – Second Quarter

3^rd Year – Third Quarter

Fourth Year
First Quarter

4^th Year – Second Quarter

4^th Year – Third Quarter

Program Courses

Computer Engineering and Computer Science Courses

(Go to the ECECS Department Courses for the Description)

CECS       2004                                    Discrete Structures

CECS       2200                                    Computer Programming Fundamentals

CECS       2202                                    Computer Programming I

CECS       2203                                    Computer Programming I Laboratory

CECS       2222                                    Computer Programming II

CECS       2223                                    Computer Programming II Laboratory

CECS       3200                                    Assembly Language Programming

CECS       3202                                    Visual-Oriented Programming

CECS       3210                                    Advanced Programming

CECS       3212                                    Data Structures

CECS       3214                                    Internet Programming I

CECS       3216                                    Machine Learning

CECS       3218                                    Data Engineering for Machine Learning I

CECS       3220                                    Human-Computer Interaction

CECS       3234                                    UNIX Operating System

CECS       3302                                    Data Communications

CECS       4200                                    Programming Languages

CECS       4202                                    Database Systems

CECS       4204                                    Software Engineering

CECS       4206                                    Design and Analysis of Algorithms

CECS       4208                                    Computer Forensics

CECS       4210                                    Ethical Hacking

CECS       4214                                    Network Security

CECS       4216                                    Reverse Engineering

CECS       4218                                    Introduction to Game Design

CECS       4220                                    E-Commerce

CECS       4224                                    Deep Learning

CECS       4226                                    Computer Graphics

CECS       4228                                    Computational Theory

CECS       4230                                    Operating Systems

CECS       4232                                    Data Engineering for Machine Learning II

CECS       4236                                    Software Requirements Engineering

CECS       4240                                    Real-Time Operating Systems

CECS       4248                                    Software Testing and Verification

CECS       4911                                    Computer Engineering Seminar I

CECS       4912                                    Computer Engineering Seminar II

Computer Science Courses

(Go to the ECECS Department Courses for the Description)

Note: Courses CS 2302, CS 3010, and CS 3300, are not acceptable as valid requirements for the BSCoE degree.

Computer Engineering Courses

(Go to the ECECS Department Courses for the Description)

COE        2300                                    Logic Circuits

COE        2301                                    Logic Circuits Laboratory

COE        3302                                    Digital Systems Design with VHDL

COE        3303                                    Digital Systems Design with VHDL Laboratory

COE        3320                                    Microprocessors

COE        3321                                    Microprocessors Laboratory

COE        4002                                    Capstone Design Course I

COE        4022                                    Capstone Design Course II

COE        4320                                    Computer Architecture

COE        4321                                    Computer Architecture Laboratory

COE        4330                                    Computer Networks

COE        4331                                    Computer Networks Laboratory

COE        4340                                    Microcomputer Interfacing

COE        4341                                    Microcomputer Interfacing Laboratory

COE        4902                                    Undergraduate Research in Computer Engineering

COE        4904                                    Undergraduate Research in Computer Engineering II

COE        4990                                    Special Topics in Computer Engineering

Electrical Engineering Courses

(Go to the ECECS Department Courses for the Description)

EE           1130                                    Freshman Design for Electrical and Computer Engineers

EE           2000                                    Circuit Analysis I

EE           2001                                    Electrical Measurements Laboratory

EE           2010                                    Computational Methods in Electrical & Computer Engineering

EE           2020                                    Circuit Analysis II

EE           2500                                    Electronics I

EE           3002                                    Signals & Systems

EE           3710                                    Random Processes

EE           4606                                    Digital Control Systems

EE           4620                                    Robotic Engineering Design

EE           4621                                    Robotic Engineering Design Laboratory

EE           4640                                    Avionics Systems

EE           4720                                    Digital Signal Processing

Other Department Courses

(Go to the Business Administration Department Courses for the Description)

MGMT   4660                                    Entrepreneurship