Computer Engineering, Bachelor of Science

The 121 credit hour program in computer engineering leads to the Bachelor of Science degree in Computer Engineering. Thirty-two (32) hours of mathematics and physics and 9 hours of computer science complement the required 44 hours of work in the computer engineering area. Six (6) hours in written and oral communications, 15 hours in the humanities and social sciences, and 15 hours of engineering electives provide the opportunity for the student to acquire a general educational background and gain the cultural attributes associated with a university education.

The individual holding this degree will have advanced knowledge in his or her field of engineering interest and in addition will have a university educational background involving mathematics, the physical sciences, and the humanities and social sciences. Completion of this curriculum will enable the graduate to enter employment in positions involving computer hardware design and applications, computer software design and development, microcomputer based applications, and computer networking. The program also leads to the preparation for graduate work in computer engineering, computer science or electrical engineering.

Accreditation

The Electrical and Computer Engineering (ECE) department’s Computer Engineering Program (CENG) is accredited by the Engineering Accreditation Commission of ABET

Program Educational Objectives

The department’s Program Educational Objectives are a statement of what graduates are doing, or are capable of doing, three to five years after graduation.  The students in the Computer Engineering program receive a strong foundation in engineering science and design that not only enables them to pursue productive careers in the computer engineering field but that can be used as the foundation for careers in other areas, such as business, management, and medicine.  Typical industries in which Computer Engineering graduates are employed include microprocessor/embedded system design, digital design, hardware/software integration, and computer architecture and parallel processing.

The Computer Engineering program prepares graduates for their professional careers with the objective that within five years after graduation they will be:

  • Employed in business, academia, or government.
  • Successful engineers who have established productive careers in their field and have contributed to improve and provide innovative and effective solutions in computer engineering or related fields.
  • Demonstrating technical and decision-making processes and the human interactions necessary to produce viable, responsible, and sustainable technological solutions.
  • Engaging in lifelong learning, which may include postgraduate education, to successfully adapt to technological, industry specific, and cultural changes and to foster adept functioning in society.
  • Performing engineering practice in a context that reflects awareness of the ethics of their profession and of the impacts of their work on the profession and society at large.

These Program Educational Objectives were developed with input from the program’s educational objectives constituency, consisting of employers (including the Industry Advisory Board), graduates of the program, and faculty of the department.

Learning Outcomes

Learning Outcomes are those abilities that a graduate of the Computer Engineering program will have attained so that he/she can meet the educational objectives established for the program.

At the time of graduation, students in the ECE Computer Engineering program will have:

            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 lifelong learning.

            j.          A knowledge of contemporary issues.

            k.         An ability to use the techniques, skills, and modern engineering tools necessary for 
                        engineering practice.

NOTE: Letters are references to ABET Engineering Accreditation Commission outcomes (a through k).

Admission to the electrical engineering program will be granted if the student has maintained a cumulative GPA of at least 2.4 and is in good standing in the College of Engineering, and completed ECEN 2130 Electrical Circuits I or ECEN 2150 Electronics and Circuits I and ECEN 3130 Switching Circuit Theory or ECEN 3700 Digital Logic Design with a grade of C or better.

A transfer student will be admitted if he/she has completed courses equivalent to ECEN 2130 or ECEN 2150 and ECEN 3130 or ECEN 3700 at other institutions with acceptable transfer grades of C or better, and earned a GPA of 2.4 or better during their first 12 credit hours in electrical engineering course work at UNL.

Transfer students will be able to appeal to the College's Academic Appeals Committee for admission for an additional semester if they fail to meet the GPA requirement.

See the College of Engineering section of the catalog for details on admission to the college.

Requirements

Plan of Study Grid
First Year
First SemesterCredits
ECEN 1030 ELECTRICAL AND COMPUTER ENGINEERING FUNDAMENTALS 4
CIST 1400 INTRODUCTION TO COMPUTER SCIENCE I 3
MATH 1950 CALCULUS I 5
ACE Elective 1 3
 Credits15
Second Semester
ECEN 1060 MICROPROCESSOR APPLICATIONS 3
ECEN 1234 INTRODUCTION TO ELECTRICAL AND COMPUTER ENGINEERING 1
ECEN 2250 ELECTRICAL AND COMPUTER ENGINEERING SEMINAR 1
CSCI 1620 INTRODUCTION TO COMPUTER SCIENCE II 3
MATH 1960 CALCULUS II 5
PHYS 2110 GENERAL PHYSICS I - CALCULUS LEVEL 4
 Credits17
Second Year
First Semester
ECEN 2130 ELECTRICAL CIRCUITS I 3
ECEN 2184 ELECTRICAL CIRCUITS LABORATORY I 1
MATH 2350 DIFFERENTIAL EQUATIONS 3
PHYS 1164 GENERAL PHYSICS LABORATORY II 1
PHYS 2120 GENERAL PHYSICS-CALCULUS LEVEL 4
CMST 1110 PUBLIC SPEAKING FUNDS 2 3
 Credits15
Second Semester
ECEN 2170 ELECTRICAL CIRCUITS III 1
ECEN 2220 ELECTRONIC CIRCUITS I 4
ECEN 3130 SWITCHING CIRCUITS THEORY 4
MATH 1970 CALCULUS III 4
ENGL 3980 TECHNICAL WRITING ACROSS THE DISCIPLINES 3 3
 Credits16
Third Year
First Semester
ECEN 3100 DIGITAL DESIGN AND INTERFACING 4
ECEN 3320 ASSEMBLY LANGUAGE PROGRAMMING 1
CSCI 3320 DATA STRUCTURES 3
STAT 3800 APPLIED ENGINEERING PROBABILITY AND STATISTICS 5 3
MATH 2050 APPLIED LINEAR ALGEBRA 3
 Credits14
Second Semester
ECEN 3250 COMMUNICATIONS SYSTEMS 4
ECEN 4330 MICROPROCESSOR SYSTEM DESIGN 4
Engineering Elective 4 6
 Credits14
Fourth Year
First Semester
ECEN 4350 EMBEDDED MICROCONTROLLER DESIGN 4
ECEN 4960 CAPSTONE I 2
ENGR 4690 TECHNOLOGY, SCIENCE AND CIVILIZATION 3
Engineering Elective 4 3
ACE Elective 1 3
 Credits15
Second Semester
ECEN 4990 CAPSTONE II 3
Engineering Elective 4 6
ACE Elective 1 6
 Credits15
 Total Credits121

Engineering Electives

The computer engineering program requires 15 hours of engineering electives.  These consist of at least 15 hours of any ECEN course at the junior or senior level. Students can substitute three (3) of these hours with a course from the following list.

Computer Science (CSCI) Courses:

4150/8156      Graph Theory and Applications

4220/8226      Programming Languages

4300/8306      Deterministic Operations Research Models

4310/8316      Probabilistic Operations Research Models

4440/8446       Introduction to Parallel Computing

4450/8456       Introduction to Artificial Intelligence

4470/8476      Pattern Recognition

4500/8506      Operating Systems

4510/8516      Advanced Operating Systems

4620/8626      Computer Graphics

4660/8666      Automata, Computability and Formal Languages

4760/8766      Topics in Modeling

4830/8836      Introduction to Software Engineering

4850/8856      Database Management Systems

Math (MATH) Courses:

            4150/8156      Graph Theory and Applications

4300/8306      Deterministic Operations Research Models

4310/8316      Probabilistic Operations Research Models

4660/8666      Automata, Computability and Formal Languages

4760/8766      Topics in Modeling