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Duluth Campus

Electrical and Computer Engineering B.S.E.C.E.

Electrical Engineering
Swenson College of Science and Engineering
  • Students will no longer be accepted into this program after Summer 2012. Program requirements below are for current students only.
  • Students interested in Electrical and Computer Engineering have the option to pursue an Electrical Engineering major with a Computer Engineering minor.
  • Program Type: Baccalaureate
  • Requirements for this program are current for Spring 2017
  • Required credits to graduate with this degree: 135
  • Required credits within the major: 117 to 119
  • Degree: Bachelor of Science in Elect and Compt Engineering
The mission of the Department of Electrical and Computer Engineering (ECE) is to provide a high quality educational opportunity for students by delivering a program with a strong hands-on laboratory and design component in conjunction with a thorough foundation in theory and to provide students with the tools and skills to be lifelong contributors to their profession and society as a whole. The B.S.E.C.E. program combines traditional electrical engineering topics with current computer design and analysis topics. The program is concerned with the theory, design, and application of electrical phenomena and digital computers, including electronic circuits, signal analysis, system design, and computer architecture. The department displays strengths in such diverse areas as electronics, signal processing, electromagnetics, digital computer systems, communications, and controls. Faculty specialize in areas such as VLSI design, microprocessor systems, image processing, robust control, solid state devices, optoelectronics, nanostructures, robotics, instrumentation, neural networks, and fuzzy logic. The program balances theoretical and practical experience in electrical and computer engineering through analysis, synthesis, and experimentation, using facilities that include major instructional and research laboratories. Electrical and computer engineering program educational objectives: 1. Develop a productive career. 2. Advance knowledge in their field through technical innovations and scholarly research. 3. Integrate the impact ethical foundation, creative purpose, and technical knowledge into responsible citizenship. 4. Contribute to the well-being of their community. 5. Pursue lifelong learning. Honors Requirement: To receive department honors upon graduation, students must finish the program with an overall GPA of at least 3.50, satisfactorily complete a research project under the guidance of a faculty member, and convey the results in an oral and written presentation to the department.
Program Delivery
This program is available:
  • via classroom (the majority of instruction is face-to-face)
Admission Requirements
Students who enter the electrical and computer engineering program as freshmen must follow the lower division program. Students should complete the lower division ECE program before applying to the upper division program. Admission is competitive and on a space-available basis. A minimum GPA of 2.00 is required for admission to the upper division program. See department for details.
For information about University of Minnesota admission requirements, visit the Office of Admissions website.
Required prerequisites
Lower Division (22 cr)
EE 1001 - Introduction to Electrical Engineering (2.0 cr)
EE 1315 - Digital Logic (4.0 cr)
EE 2006 - Electrical Circuit Analysis (4.0 cr)
EE 2111 - Linear Systems and Signal Analysis (4.0 cr)
EE 2212 - Electronics I (4.0 cr)
EE 2325 - Microprocessor Systems (4.0 cr)
Required prerequisites
Lower Division From Other Programs (37 cr)
First math course is determined by math ACT score. This schedule presupposes placement into MATH 1296.
CS 1511 - Computer Science I [LE CAT] (5.0 cr)
CS 1521 - Computer Science II (5.0 cr)
MATH 1296 - Calculus I [LE CAT, LOGIC & QR] (5.0 cr)
MATH 1297 - Calculus II [LOGIC & QR] (5.0 cr)
MATH 3280 - Differential Equations with Linear Algebra (4.0 cr)
PHYS 2011 {Inactive} [LE CAT4, NAT SCI] (4.0 cr)
PHYS 2012 {Inactive} (4.0 cr)
CHEM 1153 - General Chemistry I [LE CAT, NAT SCI] (4.0 cr)
CHEM 1154 - General Chemistry Lab I [LE CAT, NAT SCI] (1.0 cr)
General Requirements
  1. Students must meet all course and credit requirements of the departments and colleges or schools in which they are enrolled including an advanced writing course. Students seeking two degrees must fulfill the requirements of both degrees. However, two degrees cannot be awarded for the same major.
  2. Students must complete all requirements of the Liberal Education Program or its approved equivalent.
  3. Students must complete a minimum of 120 semester credits completed in compliance with University of Minnesota Duluth academic policies with credit limits (e.g., Satisfactory/Non-Satisfactory Grading Policy, Credit for Prior Learning, etc).
  4. At least 30 semester credits must be earned through UMD, and 15 of the last 30 credits earned immediately before graduation must be awarded by UMD.
  5. At least half of upper-division (3xxx-level or higher) credits that satisfy major requirements (major requirements includes all courses required for the major, including courses in a subplan) through UMD.
  6. If a minor is required, students must take at least three upper division credits in their minor field from UMD.
  7. For certificate programs, at least 3 upper-division credits that satisfy requirements for the certificate must be taken through UMD. If the program does not require upper division credits students must take at least one course from the certificate program from UMD.
  8. The minimum cumulative University of Minnesota (UMN) GPA required for graduation is 2.00 and includes only University of Minnesota coursework. A minimum UMN GPA of 2.00 is required in each UMD undergraduate major, minor, and certificate. No academic unit may impose a higher GPA standard to graduate.
  9. Diploma, transcripts, licensure, and certification will be withheld until all financial obligations to the University have been met.
Program Requirements
Requirements for the B.S.E.C.E. in electrical and computer engineering include: * Completion of the ECE program as outlined satisfies the requirements for a computer science minor. * ECE majors must meet with their advisers each semester. See department for details. * Completion of the ECE "Exit Survey," and a one-to-one exit interview with the ECE department head. * Final Project: Completion of a capstone team design project integrating the knowledge from their academic career. Project must involve the design of hardware or software to meet specifications agreed upon by the student and the faculty project adviser. Oral and written reports are required.
Upper Division (30 cr)
EE 3151 - Control Systems (4.0 cr)
EE 3235 - Electronics II (4.0 cr)
EE 4341 - Digital Systems (4.0 cr)
EE 3445 - Electromagnetic Fields (3.0 cr)
EE 4611 - Introduction to Solid-State Semiconductors (3.0 cr)
EE 4305 - Computer Architecture (4.0 cr)
EE 4951 - Design Workshop (4.0 cr)
or EE 4899 - Senior Design Project I (1.0 cr)
EE 4999 - Senior Design Project II (3.0 cr)
ECE Technical Electives
NOT including 4899, 4951, 4991, 4999
Take 5 or more credit(s) from the following:
· ECE 4xxx
· ECE 5xxx
Upper Division From Other Programs (28-30 cr)
CS 2511 - Software Analysis and Design (4.0 cr)
CS 5312 - Operating Systems (4.0 cr)
MATH 3298 - Calculus III (4.0 cr)
PHIL 3242 - Values and Technology [LE CAT8, HUMANITIES] (3.0 cr)
STAT 3611 - Introduction to Probability and Statistics (4.0 cr)
WRIT 3130 - Advanced Writing: Engineering (3.0 cr)
ECON 1023 - Principles of Economics: Micro [LE CAT, SOC SCI] (3.0 cr)
or ECON 1022 - Principles of Economics: Macro [LE CAT, SOC SCI] (3.0 cr)
Engineering outside of ECE elective requirement
CE 2017 - Engineering Mechanics: Statics and Mechanics of Materials (5.0 cr)
or CHE 2001 - Introduction to Environmental Engineering (3.0 cr)
or CHE 2011 - Design of Engineering Experiments (3.0 cr)
or CHE 2111 - Material and Energy Balances (3.0 cr)
or ME 2105 - Introduction to Material Science for Engineers (3.0 cr)
 
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EE 1001 - Introduction to Electrical Engineering
Credits: 2.0 [max 2.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
Definition and description of electrical engineering. Digital and analog systems. Electrical engineering lab equipment and software. Selected specialties. (2 hrs lect)
EE 1315 - Digital Logic
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
Binary number system and digital coding techniques. Boolean algebra, combinational logic circuits, and minimization techniques. Synchronous sequential circuits and state reduction techniques. Medium Scale Integration (MSI) combinational components. prereq: CE, ChE, CS, EE, IE, ME majors or instructor consent
EE 2006 - Electrical Circuit Analysis
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
Basic circuit analysis: resistive circuits, voltage and current sources--independent and dependent. Nodal and mesh analysis. Network theorems. Energy storage elements. RC, RL, and RLC transient and steady state analysis, phasors. SPICE analysis. (3 hrs lect, 3 hrs lab) prereq: Phys 2015, and Math 3280 (Concurrent registration is allowed for both courses)
EE 2111 - Linear Systems and Signal Analysis
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
Signal and system modeling concepts, system analysis in time domain, Fourier series and Fourier transform. Discrete time domain signals and systems, Z transform, applications. (3 hrs lect, 3 hrs lab) prereq: 2006
EE 2212 - Electronics I
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
Diodes, BJTs, FETs, ideal operational amplifiers, DC analysis, small signal models, and analysis; single-stage circuits design; power amplifiers. (3 hrs lect, 3 hrs lab) prereq: 2006
EE 2325 - Microprocessor Systems
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
Microcomputer components. Instruction set, machine and assembly language programming. Addressing modes. Signed/unsigned arithmetic. Stack uses. Assembly-level translation of high-level language constructions. Input/Output interfacing. Interrupt programming. (3 hrs lect, 3 hrs lab) prereq: 1315
CS 1511 - Computer Science I (LE CAT)
Credits: 5.0 [max 5.0]
Course Equivalencies: CS 1511/1581
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
A comprehensive introduction to computer programming using the C++ language. The course covers program design, C++ programming basics, control structures, functions and parameter passing. Students write and implement programs with data structures (arrays), pointers and files. Object-oriented programming is also introduced, along with concepts of abstraction, ADTs, encapsulation and data hiding. prereq: 3 1/2 yrs high school math or instructor consent
CS 1521 - Computer Science II
Credits: 5.0 [max 5.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
Continuation of introduction to computer science. Methods for procedural and data abstraction. Focus on classical data structures, procedural and data abstraction, and the abstract data type. Introduction to software engineering technique. Algorithm analysis, principles of object-oriented programming issues in ethical use of computers. Requires implementation of significant programming projects. prereq: 1511 or 1581, a grade of C- or better is required in all prerequisite courses
MATH 1296 - Calculus I (LE CAT, LOGIC & QR)
Credits: 5.0 [max 5.0]
Course Equivalencies: Math1290/1296/1596
Grading Basis: A-F or Aud
Typically offered: Every Fall, Spring & Summer
First part of a standard introduction to calculus of functions of a single variable. Limits, continuity, derivatives, integrals, and their applications. prereq: Math ACT 27 or higher or a grade of at least C- in Math 1250 or department consent
MATH 1297 - Calculus II (LOGIC & QR)
Credits: 5.0 [max 5.0]
Course Equivalencies: Math 1597/1297
Grading Basis: A-F or Aud
Typically offered: Every Fall, Spring & Summer
Second part of a standard introduction to calculus. Vectors, applications of integrals, transcendental functions, series, and multivariable functions and partial derivatives. prereq: A grade of at least C- in 1290 or 1296 or 1596
MATH 3280 - Differential Equations with Linear Algebra
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall, Spring & Summer
First, second, and higher order equations; series methods; Laplace transforms; systems; software; modeling applications; introduction to vectors; matrix algebra, eigenvalues. prereq: A grade of at least C- in 1297 or 1597
CHEM 1153 - General Chemistry I (LE CAT, NAT SCI)
Credits: 4.0 [max 4.0]
Course Equivalencies: CHEM 1173/CHEM 1153/CHEM 1161
Grading Basis: A-F or Aud
Typically offered: Every Fall, Spring & Summer
Fundamental principles of chemistry exemplified by study of elements, compounds, and their reactions. Covers fundamental concepts of the atom, molecule, stoichiometry, chemical reactions, thermochemistry, gas laws, atomic structure, periodic table, chemical bonding, and other selected topics. The companion laboratory, CHEM 1154, should be taken concurrently. The combination of CHEM 1153 and CHEM 1154 meets the lab component of NAT SCI, LE CAT 4. prereq: One year high school chem, Math ACT 24 or higher or a grade of least C- in Math 1005, Credit will not be granted if already received for 1151 or 1161 or 1173. Fall semester, SCSE majors only.
CHEM 1154 - General Chemistry Lab I (LE CAT, NAT SCI)
Credits: 1.0 [max 1.0]
Course Equivalencies: CHEM 1174/CHEM 1154
Grading Basis: A-F or Aud
Typically offered: Every Fall, Spring & Summer
Basic laboratory skills while investigating the fundamental principles of chemistry. Covers fundamental concepts of the atom and molecule, stoichiometry, acid-base reactions, oxidation-reduction reactions, thermochemistry, characteristic properties of anions, gas laws and spectrophotometry. This laboratory accompanies lecture CHEM 1153. The combination of CHEM 1153 and CHEM 1154 meets liberal education category 4 requirements. prereq: Previous or concurrent enrollment in CHEM 1153 or 1173; credit will not be granted if already received for CHEM 1151, 1161 or 1174.
EE 3151 - Control Systems
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
System mathematical modeling: differential equations, Laplace transform, block diagrams, signal flow graphs. System performance characteristics: time response, sensitivity, steady-state error. Stability analysis: Routh-Hurwitz, root locus and Nyquist. State variables. Compensation design, software tools. (3 hrs lect, 3 hrs lab) prereq: 2111
EE 3235 - Electronics II
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
Multistage circuits, frequency analysis, non-ideal operational amplifiers, feedback and stability, oscillators, filters. (3 hrs lect, 3 hrs lab) prereq: 2212
EE 4341 - Digital Systems
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Periodic Spring
Digital logic family characteristics. Medium Scale Integration (MSI) components and applications. Programmable Logic Devices (PLDs). Alternative clocking techniques. Computer arithmetic circuits and memory design. Fundamental mode asynchronous finite-state machine design. (3 hrs lect, 3 hrs lab) prereq: 2325, no graduate credit; credit will not be granted if already received for ECE 3341
EE 3445 - Electromagnetic Fields
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
Fundamentals of electromagnetic analysis. Electrostatic and magnetostatic fields. Introductory numerical analysis of electromagnetic fields. Time-varying fields and potentials. Maxwell's equations and their applications. (3 hrs lect) prereq: Math 3280, 3298, Phys 2012 or 2015 and 2016
EE 4611 - Introduction to Solid-State Semiconductors
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
Fundamentals of solid-state semiconductors and devices. Quantum mechanical concepts and atomic states, solid-state structure, band structure, semiconductor statistics, and transport. (3 hrs lect) prereq: Phys 2012 or 2015; credit will not be granted if already received for ECE 3611
EE 4305 - Computer Architecture
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
Advanced assembly language programming techniques. Memory design principles. Virtual memory. Cache memory. Processor design. Pipelined and Reduced Instruction Set Computers (RISC). Advanced microprocessor features. (3 hrs lect, 3 hrs lab) prereq: 2325
EE 4951 - Design Workshop
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Periodic Spring
Study of a selected topic; its application to a design project, completed individually or in a small group. Focuses on a different method each semester offered. Completion satisfies requirement for a senior design project. prereq: WRIT 3130 previous or concurrent registration allowed, BSECE or BSEE or BSEP cand, instructor consent; no Grad credit; credit will not be granted if already received for 4899
EE 4899 - Senior Design Project I
Credits: 1.0 [max 1.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
Selection and completion of team project approved and supervised by faculty. See also ECE 4999. prereq: WRIT 3130, BSECE or BSEE or BSEP cand, instructor consent; no grad credit, credit will not be granted if already received for 4951
EE 4999 - Senior Design Project II
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
Students present senior design project results in formal written and oral reports after making refinements. Complete documentation of results in professional manner required. Results must be presented in an oral report with other senior project team members. ECE 4899 and ECE 4999 must be completed within one year for credit. prereq: 4899 and BSEP candidate, instructor consent, no Grad credit; credit will not be granted if already received for 4951
CS 2511 - Software Analysis and Design
Credits: 4.0 [max 4.0]
Typically offered: Every Fall & Spring
Techniques for analyzing, designing, and creating medium-scale software through object-oriented design and implementation. Analysis and use of data structures. Introduction to design patterns. Emphasis on polymorphism and abstraction to increase software modularity, reusability, and flexibility. prereq: 1521 or instructor consent, a grade of C- or better is required in all prerequisite courses
CS 5312 - Operating Systems
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
Operating system as resource manager. Modern solutions to issues such as processor management and scheduling, concurrency and related problems including deadlocks, memory management and protection, file system design, virtualization, distributed and cloud computing. Concepts including concurrency are illustrated via laboratory assignments, This is a potential Master's project course. prereq: grad student, 2511, 2521, (2531 or 3512 or MATH 3355) or instructor consent, a grade of C- or better is required in all prerequisite courses
MATH 3298 - Calculus III
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall, Spring & Summer
Third part of a standard introduction to calculus. Conic sections, vectors and vector-valued functions, partial derivatives and multiple integrals, vector fields, Green's and Stokes' theorems. prereq: A grade of at least C- in 1297 or 1597
PHIL 3242 - Values and Technology (LE CAT8, HUMANITIES)
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
Problems related to science and technology. Application of moral theory to issues raised by technology, such as distribution of power, effects on environment, labor and social life, privacy, intellectual property rights, product liability, and professional codes of ethics. prereq: 60 cr or instructor consent
STAT 3611 - Introduction to Probability and Statistics
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall, Spring & Summer
Basic probability, including combinatorial methods, random variables, mathematical expectation. Binomial, normal, and other standard distributions. Moment-generating functions. Basic statistics, including descriptive statistics and sampling distributions. Estimation and statistical hypothesis testing. prereq: A grade of at least C- in Math 1290 or Math 1296
WRIT 3130 - Advanced Writing: Engineering
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall, Spring & Summer
Study of writing for those invested in the disciplines of engineering or computer science. Exploration of academic and professional rhetorical situations. Practice with research methods, document design, editing, effective collaboration, and ethical issues in the production of documents in multiple genres for multiple audiences. pre-req: 1) WRIT 1120 or MNTC or AA completed 2) minimum 60 credits earned or in progress
ECON 1023 - Principles of Economics: Micro (LE CAT, SOC SCI)
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
Analyzing free enterprise system through study of product and resource markets. Supply and demand, utility, production and cost, market structure, resource use, market failures, regulatory role of government, and real-world application of these concepts. prereq: Minimum 15 credits or department consent
ECON 1022 - Principles of Economics: Macro (LE CAT, SOC SCI)
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
Analyzing overall performance of an economic system. National income accounting and theory, unemployment, inflation, fiscal policy, money, monetary policy, economic growth, international trade, non-U.S. economies, and real-world application of these concepts. prereq: Minimum 15 credits or department consent
CE 2017 - Engineering Mechanics: Statics and Mechanics of Materials
Credits: 5.0 [max 5.0]
Grading Basis: A-F or Aud
Typically offered: Periodic Fall, Spring & Summer
Vector algebra. Applications of equations of equilibrium to analysis of simple engineering structures and machines. Nature and influence of friction. Elementary theory of statically determinate framed structures. Introductory treatment of stress and strain at a point. Stress-strain relation in two dimensions. Axial loading, torsion, shear and bending moment diagrams, bending stresses, deflection of determinate and indeterminate beams, instability. prereq: MATH 1297, PHYS 2011 or 2013 or 2017 and 2014, and Civil Engineering or Mechanical Engineering or Industrial Engineering or Engineering Physics major; credit will not be granted if already received for ENGR 2015 and ENGR 2016 combined.
CHE 2001 - Introduction to Environmental Engineering
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
Comprehensive survey of environmental engineering. Fundamental science and engineering principles as basis for analyzing environmental issues. Federal laws on air pollution, wastewater discharge, and hazardous waste. Wastewater treatment, air pollution control, waste minimization, resource recovery, and recycling. prereq: Chem 1113 or higher, Math 1250 or higher
CHE 2011 - Design of Engineering Experiments
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
Basic theories of experimental design, data analysis, and statistical process control, emphasizing their application to chemical engineering practice. prereq: Math 1297 and (prereq or coreq 2111 or 2211)
CHE 2111 - Material and Energy Balances
Credits: 3.0 [max 3.0]
Course Equivalencies: CHE 2211/CHE 2111
Typically offered: Every Fall & Spring
Elementary principles of chemical processes, emphasizing material and energy balances. prereq: Chem 1151 or 1161 or 1153 and 1154, Math 1296 or 1596 minimum grade of C
ME 2105 - Introduction to Material Science for Engineers
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
Structures and properties of engineering materials, emphasizing metals, composites, polymers, and ceramics. prereq: Chem 1151 or 1153 and 1154; credit will not be granted if previously given for Engr 2110 or IE 2105.