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Electrical Engineering B.S.E.E.

Electrical Engineering
Swenson College of Science and Engineering
  • Program Type: Baccalaureate
  • Requirements for this program are current for Fall 2017
  • Required credits to graduate with this degree: 130
  • Required credits within the major: 112
  • Degree: Bachelor of Science in Electrical Engineering
The electrical engineering B.S.E.E. program is concerned with the theory, design, and application of electrical phenomena. The department displays strengths in such diverse areas as microelectronics and VLSI, signal processing, electromagnetics, digital computer systems, automatic control, communications, and power and energy. The program balances theoretical and practical experience in electrical engineering through analysis, synthesis, and experimentation, using facilities that include major instructional laboratories and research laboratories. The Bachelor of Science in Electrical Engineering is accredited by the Engineering Accreditation Commission of ABET, http://www.abet.org
Program Delivery
This program is available:
  • via classroom (the majority of instruction is face-to-face)
Admission Requirements
For information about University of Minnesota admission requirements, visit the Office of Admissions website.
General Requirements
The Board of Regents, on recommendation of the faculty, grants degrees from the University of Minnesota. Requirements for an undergraduate degree from University of Minnesota Duluth include the following:
  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.
  3. Students must complete a minimum of 120 semester credits.
  4. At least 30 of the last 60 degree credits earned immediately before graduation must be awarded by UMD.
  5. Students must complete at least half of their courses at the 3xxx-level and higher at UMD. Study-abroad credits earned through courses taught by UM faculty and at institutions with which UMD has international exchange programs may be used to fulfill this requirement.
  6. If a minor is required, students must take at least three upper division credits in their minor field from UMD.
  7. The minimum cumulative UM GPA required for graduation will be 2.00 and will include only University of Minnesota coursework. A minimum UM GPA of 2.00 is required in each UMD undergraduate major and minor. No academic unit may impose higher grade point standards to graduate.
  8. Diploma, transcripts, and certification will be withheld until all financial obligations to the University have been met.
Program Requirements
1. EE majors must meet with their advisers each semester. See department for details. 2. Completion of the EE "Exit Survey," and a one-to-one exit interview with the EE department head.
EE Requirements (37 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)
EE 3151 - Control Systems (4.0 cr)
EE 3235 - Electronics II (4.0 cr)
EE 3445 - Electromagnetic Fields (3.0 cr)
EE 4899 - Senior Design Project I (1.0 cr)
EE 4999 - Senior Design Project II (3.0 cr)
or EE 4951 - Design Workshop (4.0 cr)
EE Electives (21 cr)
Minimum one course from four out of the five areas of specialization. The rest of the credits can be filled from any of the five areas. With approval, students may also take EE 5995 Special Topics course; group assigned will depend upon topics title.
Take 21 or more credit(s) from the following:
Communications and Signal Processing
· EE 5477 - Antennas and Transmission Lines (3.0 cr)
or EE 5479 - Antennas and Transmission Lines Laboratory (1.0 cr)
or EE 5741 - Digital Signal Processing (3.0 cr)
or EE 5745 - Medical Imaging (3.0 cr)
or EE 5765 - Modern Communication (4.0 cr)
· Controls and Robotics
· EE 5151 - Digital Control System Design (3.0 cr)
or EE 5351 - Introduction to Robotics and Mobile Robot Control Architectures (3.0 cr)
or EE 5742 - Pattern Recognition and Machine Learning (4.0 cr)
or EE 5801 - Introduction to Artificial Neural Networks (3.0 cr)
or EE 5831 - Fuzzy Set Theory and Its Application (3.0 cr)
· Digital Systems
· EE 4305 - Computer Architecture (4.0 cr)
or EE 4321 - Computer Networks (3.0 cr)
or EE 4341 - Digital Systems (4.0 cr)
or EE 5315 - Multiprocessor-Based System Design (3.0 cr)
· Microelectronics and VLSI
· EE 4311 - Design of Very Large-Scale Integrated Circuits (3.0 cr)
or EE 4611 - Introduction to Solid-State Semiconductors (3.0 cr)
or EE 5211 - Advanced Analog Integrated Circuit Design (3.0 cr)
or EE 5611 - Microelectronics Technology (3.0 cr)
· Power and Energy
· EE 4501 - Power Systems (4.0 cr)
or EE 5501 - Energy Conversion System (3.0 cr)
or EE 5522 - Power Electronics I (3.0 cr)
or EE 5533 - Grid- Resiliency, Efficiency and Technology (3.0 cr)
Non-EE Electives (3 cr)
Take 3 or more credit(s) from the following:
· CE 2017 - Engineering Mechanics: Statics and Mechanics of Materials (5.0 cr)
· CHE 2001 - Introduction to Environmental Engineering (3.0 cr)
· CHE 2111 - Material and Energy Balances (3.0 cr)
· IE 3115 - Operations Research (4.0 cr)
· ME 2105 - Introduction to Material Science for Engineers (3.0 cr)
Courses From Other Programs (51 cr)
First math course is determined by the ACT math score. This schedule presupposes placement into Math 1296.
Chemistry
CHEM 1153 - General Chemistry I [LE CAT5, NAT SCI] (4.0 cr)
CHEM 1154 - General Chemistry Lab I [LE CAT4, NAT SCI] (1.0 cr)
Computer Science
CS 1511 - Computer Science I [LE CAT3, LOGIC & QR] (5.0 cr)
or CS 1581 - Honors: Computer Science I [LE CAT3, LOGIC & QR] (5.0 cr)
Economics
ECON 1022 - Principles of Economics: Macro [LE CAT6, SOC SCI] (3.0 cr)
or ECON 1023 - Principles of Economics: Micro [LE CAT6, SOC SCI] (3.0 cr)
Math and Stats
MATH 1296 - Calculus I [LE CAT2, LOGIC & QR] (5.0 cr)
or MATH 1596 - Honors: Calculus I [LE CAT2, LOGIC & QR] (5.0 cr)
MATH 1297 - Calculus II [LOGIC & QR] (5.0 cr)
or MATH 1597 - Honors: Calculus II [LOGIC & QR] (5.0 cr)
MATH 3280 - Differential Equations with Linear Algebra (4.0 cr)
MATH 3298 - Calculus III (4.0 cr)
STAT 3611 - Introduction to Probability and Statistics (4.0 cr)
Ethics
CS 3111 - Computer Ethics [HUMANITIES] (4.0 cr)
or PHIL 3242 - Values and Technology [LE CAT8, HUMANITIES] (3.0 cr)
or PHIL 3325 - Environmental Ethics [HUMANITIES, SUSTAIN] (4.0 cr)
Physics
PHYS 2013 - General Physics I [LE CAT5, NAT SCI] (4.0 cr)
or PHYS 2017 - Honors: General Physics I [NAT SCI] (4.0 cr)
PHYS 2014 - General Physics Lab I [NAT SCI] (1.0 cr)
PHYS 2015 - General Physics II (4.0 cr)
or PHYS 2018 - Honors General Physics II (4.0 cr)
PHYS 2016 - General Physics Lab II (1.0 cr)
Writing
WRIT 3130 - Advanced Writing: Engineering (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) prereq: CE, ChE, CS, EE, IE, ME majors only
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, Math 3280 (Concurrent registration is allowed)
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
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 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 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 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, instructor consent, no Grad credit; credit will not be granted if already received for 4951
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 cand, instructor consent; no Grad credit; credit will not be granted if already received for 4899
EE 5477 - Antennas and Transmission Lines
Credits: 3.0 [max 3.0]
Prerequisites: 3445; credit will not be granted if already received for 4477
Grading Basis: A-F or Aud
Typically offered: Periodic Spring
Theory and performance of antennas and transmission lines. Topics: Allocation of RF spectrum, radiation theory, EM wave propagation, ground effects, interference, antenna performance metrics, transient and sinusoidal transmission line behavior, bounce diagrams, Smith chart, waveguide theory, modeling with the numerical electromagnetics code (NEC), unlicensed wireless applications, specific antenna designs and applications, class demonstrations. prereq: 3445; credit will not be granted if already received for 4477
EE 5479 - Antennas and Transmission Lines Laboratory
Credits: 1.0 [max 1.0]
Prerequisites: 5477 pre or co-req
Grading Basis: A-F or Aud
Typically offered: Every Spring
This laboratory course provides hands-on experience with designing, constructing, and measuring the performance of radio frequency (RF) antennas and transmission lines. Concepts include velocity factor, propagation, factors, characteristic impedance, tuning stubs and matching sections, resonance, parasitic elements, gain, directivity, return loss and RF safety. This course supports the theory presented in EE 5477 (Antennas and Transmission Lines) and is optional for those enrolled in or having completed EE 5477. prereq: 5477 pre or co-req
EE 5741 - Digital Signal Processing
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Periodic Spring
Discrete linear shift-invariant systems, z- & Fourier transform, sampling, discrete-time processing of signals, reconstruction of analog signals, filters and filter structures in direct, parallel, and cascaded forms, FIR & IIR digital filter design, impulse-invariant, bi-linear transform & window functions, FFT, introduction to image processing. prereq: 2111; credit will not be granted if already received for 4741
EE 5745 - Medical Imaging
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Spring Odd Year
Introduction to the methods and devices for medical imaging, including x-ray imaging, x-ray computer tomography (CT), nuclear medicine (single photon planar imaging, single photon emission computer tomography (SPECT), and positron emission tomography (PET), magnetic resonance imaging (MRI), and ultrasound imaging. The physics and design of systems, typical applications, medical image processing, and tomographic reconstruction. prereq: EE (ECE) 2111, Math 3298 or instructor permission
EE 5765 - Modern Communication
Credits: 4.0 [max 4.0]
Typically offered: Every Fall
Design and analysis of modern communication systems; evaluation of analog and digital modulation techniques. (3 hrs lect, 3 hrs lab) prereq: 2111; credit will not be granted if already received for 4765
EE 5151 - Digital Control System Design
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Periodic Spring
Digital control system characteristics: transient and steady-state responses, frequency response, stability. Digital control system design using transform techniques. Controllability and observability. Design of digital control systems using state-space methods: pole placement and observer design, multivariable optimal control. Implementation issues in digital control prereq: 3151; credit will not be granted if already received for 4151
EE 5351 - Introduction to Robotics and Mobile Robot Control Architectures
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Periodic Spring
Basic concepts and tools for the analysis, design, and control of robotic mechanisms. Topics include basic robot architecture and applications to dynamical systems, mobile mechanisms, kinematics, inverse kinematics, trajectory and motion planning, mobile roots, collision avoidance, and control architectures. prereq: 3151
EE 5742 - Pattern Recognition and Machine Learning
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Fall Even, Spring Odd Year
Various methods of pattern recognition, non-parametric techniques, linear discriminant functions, support vector machines, statistical classification, min-max procedures, maximum likelihood decisions and case studies. prereq: STAT 3611, senior or graduate standing in science or engineering or instructor consent; some basic concepts in linear algebra and probability theory.
EE 5801 - Introduction to Artificial Neural Networks
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Periodic Fall
General techniques and theory of neural networks, their applications and limitations. The course particularly addresses the design issues and learning algorithms for diverse areas of applications. prereq: CS 1521, Math 3280, Stat 3611 or instructor consent; credit will not be granted if already received for 4801
EE 5831 - Fuzzy Set Theory and Its Application
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Periodic Fall
Fuzzy sets and operations on fuzzy sets. Fuzzy relations and the extension principle. Linguistic variable and fuzzy IF-THEN rules. Fuzzy arithmetic. Fuzzy logic and approximate reasoning. Design of Fuzzy Systems from I/O data. Fuzzy logic--based control. Pattern Classifications. prereq: CS 1521, Math 3280; credit will not be granted if already received for 5831
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 4321 - Computer Networks
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Periodic Fall
Network classification and services. Protocol and communication architectures. Hardware components: multiplexers, concentrators, bridges, routers, access servers. (3 hrs lect) prereq: 2325
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 5315 - Multiprocessor-Based System Design
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Periodic Fall
Parallelism, interconnection networks, shared memory architecture, principles of scalable performance, vector computers, multiprocessors, multicomputers, dataflow architectures, and supercomputers. prereq: 2325; credit will not be granted if already received for 4315
EE 4311 - Design of Very Large-Scale Integrated Circuits
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Periodic Fall
Philosophy of and techniques for designing VLSI circuits in CMOS technology. Full- and semi-custom design techniques. Digital, analog, and hybrid CMOS circuits and systems. Substantial design project required. (3 hrs lect) prereq: 3235 or instructor consent
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 5211 - Advanced Analog Integrated Circuit Design
Credits: 3.0 [max 3.0]
Grading Basis: A-F only
Typically offered: Periodic Fall
Provides ECE students with fundamental analysis and design skills for transistor-level analog integrated circuits, such as operational amplifiers, transconductance amplifiers, bandgap references, amplifier-based filters, analog-to-digital converters, digital-to analog converters and phase-locked loop. Project-oriented with a focus on transistor-level design of analog circuits from transistor sizing to layout in an integrated circuit environment such as Cadence tool sets. The expected outcomes are that students are able to design an analog system of medium complexity at transistor-level. prereq: 3235 or equiv
EE 5611 - Microelectronics Technology
Credits: 3.0 [max 3.0]
Grading Basis: A-F only
Typically offered: Periodic Fall
Various fabrication processes in silicon-based microelectronic circuits and devices: lithography, oxidation, diffusion, thin film deposition, etching and integration of various technologies; material defects analysis and device characterization skills; design of fabrication process with SUPREME IV simulator; fabrication technologies involved in other devices: optical devices, MEMS and semiconductor nanostructures. prereq: 3235
EE 4501 - Power Systems
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
Fundamentals of rotating machines: DC, synchronous, and induction machines. Transformers. Power system representation. Transmission lines. Power system analysis: stability and dynamic performance. Balanced and unbalanced faults. Power system protection. (3 hrs lect, 3 hrs lab) prereq: 2006; no grad credit
EE 5501 - Energy Conversion System
Credits: 3.0 [max 3.0]
Course Equivalencies: 02012 - EE 5501/ME 5325
Grading Basis: A-F or Aud
Typically offered: Every Fall
Theory, design and operation of conventional and alternative electrical energy conversion systems. Carbon dioxide cycle, Earth/Sun radiation balance, and environmental impacts. Power delivery systems and integration of conversion systems with the grid. Development of generation portfolios. Impact of energy policies and current energy issues. Case studies. prereq: Chem 1151 or 1153 and 1154
EE 5522 - Power Electronics I
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
Power semiconductor devices; traditional power converters; ac-dc converters: half-wave and full-wave rectifiers; dc-dc converters: traditional and transformer derived choppers; dc-ac converters: single-phase and three-phase inverters; ac-ac converters; pulse-width modulation; applications. prereq: 3235
EE 5533 - Grid- Resiliency, Efficiency and Technology
Credits: 3.0 [max 3.0]
Prerequisites: 2006 or instructor consent
Grading Basis: A-F or Aud
Typically offered: Every Fall
Concepts and architecture of grid, smart grid and microgrid; resiliency under physical and cyber attacks; grid efficiency via sensors, networks and control; technology including standards and protocols for cybersecurity and protection of the grid; case studies and testbeds. prereq: 2006 or instructor consent
CE 2017 - Engineering Mechanics: Statics and Mechanics of Materials
Credits: 5.0 [max 5.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
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 and 2014; 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 Fall & 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 2111 - Material and Energy Balances
Credits: 3.0 [max 3.0]
Course Equivalencies: 02519 - 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
IE 3115 - Operations Research
Credits: 4.0 [max 4.0]
Prerequisites: Math 3280, Stat 3411, BSIE candidate or instructor consent
Grading Basis: A-F or Aud
Typically offered: Every Spring
This course prepares students to formulate optimization models in the formats of linear programming, network programming, integer mixed linear programming, goal programming, multi objective programming and nonlinear programming models; understand the simplex algorithm and solve simple linear programming models by hand; implement complex models and solve them using computer software; and interpret and communicate final results. prereq: Math 3280, Stat 3411, BSIE candidate or instructor consent
ME 2105 - Introduction to Material Science for Engineers
Credits: 3.0 [max 3.0]
Prerequisites: Chem 1151 or 1153 and 1154; credit will not be granted if previously given for Engr 2110 or IE 2105.
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.
CHEM 1153 - General Chemistry I (LE CAT5, NAT SCI)
Credits: 4.0 [max 4.0]
Course Equivalencies: 02278 - 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.
CHEM 1154 - General Chemistry Lab I (LE CAT4, NAT SCI)
Credits: 1.0 [max 1.0]
Course Equivalencies: 02279 - 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.
CS 1511 - Computer Science I (LE CAT3, LOGIC & QR)
Credits: 5.0 [max 5.0]
Course Equivalencies: 01383 - CS 1211/1511/1581
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 1581 - Honors: Computer Science I (LE CAT3, LOGIC & QR)
Credits: 5.0 [max 5.0]
Course Equivalencies: 01383 - CS 1211/1511/1581
Grading Basis: A-F or Aud
Typically offered: Every Fall
Similar to 1511, but in greater depth and with more challenging assignments. For high-ability students. prereq: Honors student, 3 1/2 yrs high school math
ECON 1022 - Principles of Economics: Macro (LE CAT6, SOC SCI)
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall, Spring & Summer
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
ECON 1023 - Principles of Economics: Micro (LE CAT6, SOC SCI)
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall, Spring & Summer
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
MATH 1296 - Calculus I (LE CAT2, LOGIC & QR)
Credits: 5.0 [max 5.0]
Course Equivalencies: 01420 - 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 1596 - Honors: Calculus I (LE CAT2, LOGIC & QR)
Credits: 5.0 [max 5.0]
Course Equivalencies: 01420 - Math1290/1296/1596
Grading Basis: A-F or Aud
Typically offered: Every Fall
First part of standard introduction to calculus of functions of single variable. Limits, continuity, derivatives, integrals, and their applications, indeterminate forms. Same as Math 1296, but with more depth, rigor, more challenging assignments. For high-ability students with excellent preparation. prereq: 1250 or 3 1/2 years high school mathematics including trigonometry, department consent, a grade of C- or better in is required in all prerequisite courses
MATH 1297 - Calculus II (LOGIC & QR)
Credits: 5.0 [max 5.0]
Course Equivalencies: 01421 - 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 1597 - Honors: Calculus II (LOGIC & QR)
Credits: 5.0 [max 5.0]
Course Equivalencies: 01421 - Math 1597/1297
Grading Basis: A-F or Aud
Typically offered: Every Spring
Same as Math 1297, but with more depth, rigor, and challenging assignments. Techniques of integration, transcendental functions, exponentials and logarithms, infinite sequences and series, vectors, partial differentiation, and applications. Intended for high-ability students with excellent preparation. prereq: 1596 or a grade of A in 1290 or 1296, department consent
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
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
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
CS 3111 - Computer Ethics (HUMANITIES)
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
Ethical issues posed by computer use, including those related to networking, intellectual property, privacy, crime and security, risk and reliability, and effects on work and wealth. Includes significant writing and a class presentation prereq: WRIT 3100 or 3110 or 3121 or 3130 0r 3140 or 3150 or 3160 or Engr 4001, minimum 60 credits or instructor consent, a grade of C- or better is required in all prerequisite courses
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
PHIL 3325 - Environmental Ethics (HUMANITIES, SUSTAIN)
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Periodic Fall & Spring
Moral dimension of relationship between humans and earth's natural environment. Pollution, energy policy, economics, law, and environment; endangered species; rights of nonhumans; preservation and conservation; obligations toward future generations; ethical theory and environment. prereq: 30 cr or instructor consent
PHYS 2013 - General Physics I (LE CAT5, NAT SCI)
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall, Spring & Summer
Calculus-based introduction to Newtonian Mechanics, fluid mechanics, and heat. The companion laboratory, PHYS 2014 should be taken concurrently. The combination of PHYS 2013 and 2014 meets liberal education category 4. prereq: previous or concurrent registration in PHYS 2014. Prerequisite of Math 1290 or 1296 or 1596; credit will not be granted if already received for PHYS 1201 or 2011.
PHYS 2017 - Honors: General Physics I (NAT SCI)
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
Advanced coverage of General Physics topics that include Newtonian Mechanics, fluid mechanics, and heat. Mathematically and conceptually demanding problem solving techniques. The companion laboratory, PHYS 2014, should be taken concurrently. The combination of PHYS 2014 and PHYS 2017 meets liberal education natural science with lab. prereq: Previous or concurrent registration in PHYS 2014. Previous or concurrent registration in Math 1290 or Math 1296 or 1596, or physics major or instructor permission. Credit will not be granted if already received for PHYS 1201 or PHYS 2011 or PHYS 2013.
PHYS 2014 - General Physics Lab I (NAT SCI)
Credits: 1.0 [max 1.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall, Spring & Summer
Calculus-based introduction to Newtonian Mechanics, fluid mechanics, and heat exemplified by laboratory study. This laboratory accompanies lecture PHYS 2013 and should be taken concurrently. The combination of PHYS 2013 and 2014 meets liberal education category 4. prereq: previous or concurrent enrollment in PHYS 2013
PHYS 2015 - General Physics II
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
Calculus-based introduction to electricity, magnetism and optics. The companion laboratory, PHYS 2016, should be taken concurrently. prereq: previous or concurrent registration in 2016. Prerequisite of 2011 or 2013 and 2014, Math 1297 or 1597; credit will not be granted if already received for PHYS 1202, 1204 or 2012.
PHYS 2018 - Honors General Physics II
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
Advanced coverage of calculus-based introduction to electricity magnetism and optics. Mathematically and conceptually demanding problem solving techniques. The companion laboratory, PHYS 2016 should be taken concurrently. Prerequisites: Previous or concurrent registration in PHYS 2016; PHYS 2013 or 2017; co-registration in or prior completion of Math 1287 or 1597 or instruction permission. Credit will not be granted if already received for PHYS 1202 or 1204 or 2012 or 2015.
PHYS 2016 - General Physics Lab II
Credits: 1.0 [max 1.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
Calculus-based introduction to electricity, magnetism and optics exemplified by laboratory study. This laboratory accompanies lecture PHYS 2015 and should be taken concurrently. prereq: Previous or concurrently enrollment in PHYS 2015 or 2018.
WRIT 3130 - Advanced Writing: Engineering
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
Study and practice of writing tasks in engineering, including oral presentations. Exploration of rhetorical situations in professional practice, including research methods, document design, editing, effective collaboration, and ethical issues in the production of professional documents, such as instructions, lab reports, proposals, short and long reports, and career documents. prereq: WRIT 1120 or MNTC completed and minimum 60 credits