**Any experimental courses offered by E E can be found at:****registrar.iastate.edu/faculty-staff/courses/explistings/**

## Courses

**Courses primarily for undergraduates:**

(Cross-listed with CPR E). Cr. R. F.S.

(1-0) Overview of the nature and scope of electrical engineering and computer engineering professions. Overview of portfolios. Departmental rules, advising center operations, degree requirements, program of study planning, career options, and student organizations.
Offered on a satisfactory-fail basis only.

(2-2) Cr. 3. F.S.

*Prereq: (MATH 143 or satisfactory scores on mathematics placement examinations); credit or concurrent enrollment in MATH 165*

Project based examples from electrical engineering. Systematic thinking process for engineering problem solving. Group problem solving. Mathematical, conceptual and computer based projects. Solving engineering problems and presenting solutions through technical reports and oral presentations. Solutions of engineering problems using computation tools and basic programming. Satisfactory placement scores can be found at: https://math.iastate.edu/academics/undergraduate/aleks/placement/.
Only one of ENGR 160, A B E 160, AER E 160, C E 160, CH E 160, CPR E 185, E E 185, I E 148, M E 160, and S E 185 may count towards graduation.

(0-2) Cr. 1. S.

*Prereq: E E 185*

Project based and hands on continuation of 185. Group skills needed to work effectively in teams. Individual interactive skills for small and large groups. Learning to use tools and methods for solving electrical engineering problems.

(3-3) Cr. 4. F.S.

*Prereq: PHYS 231; 231L; credit or concurrent enrollment in MATH 267*

Emphasis on mathematical tools. Circuit elements (resistors, inductors, capacitors) and analysis methods including power and energy relationships. Network theorems. DC, sinusoidal steady-state, and transient analysis. AC power. Frequency response. Two port models. Diodes, PSPICE. Laboratory instrumentation and experimentation.
Credit for only E E 201 or 442 may be used towards graduation.

(3-3) Cr. 4. F.S.

*Prereq: E E 201; MATH 267*

Mathematical preliminaries. Introduction to signals and systems. Signal manipulations. System properties. LTI systems, impulse response and convolution. Fourier Series representation and properties. Continuous and discrete-time Fourier Transforms and properties. Sampling and reconstruction. Modulation and demodulation. Applications and demonstrations using Matlab.

(3-3) Cr. 4. F.S.

*Prereq: E E 201; MATH 267*

Frequency domain characterization of electronic circuits and systems, transfer functions, sinusoidal steady state response. Time domain models of linear and nonlinear electronic circuits, linearization, small signal analysis. Stability and feedback circuits. Operational amplifiers, device models, linear and nonlinear applications, transfer function realizations. A/D and D/A converters, sources of distortions, converter linearity and spectral characterization, applications. Design and laboratory instrumentation and measurements.

(Cross-listed with CPR E). (3-0) Cr. 3.

*Prereq: COM S 227 or E E 285*

Professional and ethical issues in electrical and computer engineering. Soft skills, including communication and leadership skills, and how they relate to the engineering profession. Case studies illustrating ethical decision making in an engineering context and differentiating between moral and professional ethics. Issues of diversity, equity, and inclusion in the engineering profession.

(Cross-listed with CPR E). Cr. R.

Introduction to the College of Engineering and the engineering profession specifically for transfer students. Information concerning university and college policies, procedures, and resources.
Offered on a satisfactory-fail basis only.

(3-3) Cr. 4.

Integration of field-specific computational tools for practically solving electrical engineering problems. Methods for systematically reducing problems into sequential steps compatible with computer based tools. Structuring computer programs for efficiency and maintainability. Integration of multi-platform operating systems and multi-vendor tools for solving engineering problems. Hands-on laboratory experiences using Matlab, C, and other computational tools.

(3-0) Cr. 3. F.S.

*Prereq: MATH 267; PHYS 232; credit or concurrent enrollment in E E 230*

Structure of competitive electric energy systems. System operation and economic optimization. Mutual inductance, transformers. Synchronous generators. Balanced three-phase circuit analysis and power calculations. Network calculations and associated numerical algorithms. Two-port circuits. Voltage regulation. Resonance and power factor correction. DC and induction motors. Power electronic circuit applications to power supplies and motor drives.

(4-0) Cr. 4. F.S.

*Prereq: E E 201; MATH 265; PHYS 232; credit or concurrent enrollment in MATH 267*

Fundamentals and applications of electric and magnetic fields and materials. Electrostatics and magentostatics, potentials, capacitance and inductance, energy, force, torque. Uniform plane electromagnetic waves, Poynting vector. Transmission lines: transient and sinusoidal steady-state conditions, reflection coefficient.

(3-0) Cr. 3.

*Prereq: PHYS 232 or equivalent*

Conceptual study of electomagnetism and its application in engineering and related fields. EM fundamentals, EM spectrum, radiation, radiating systems, wireless, modern concepts of physics, quantum computing, transmission lines, high speed effects, waveguides, GPS and other related phenomena will be discussed and explained with the application in mind.

(3-0) Cr. 3. F.

*Prereq: E E 224*

Frequency domain analysis, spectral filtering, bandwidth. Linear modulation systems. Angle modulation systems. Phase locked loop, super-heterodyne receiver. Sampling and pulse code modulation. Digital data transmission, line coding, pulse shaping, multiplexing.

(Cross-listed with STAT). (3-0) Cr. 3. F.S.

*Prereq: E E 224*

Introduction to probability with applications to electrical engineers. Sets and events, probability space, conditional probability, total probability and Bayes' rule. Discrete and continuous random variables, cumulative distribution function, probability mass and density functions, expectation, moments, moment generating function, multiple random variables, functions of random variables. Elements of statistics, hypothesis testing, confidence intervals, least squares. Introduction to random processes.

(3-3) Cr. 4. F.S.

*Prereq: E E 224*

Laplace and z-Transforms, properties and inverses. Applications to LTI systems, circuits, analog/digital filters, feedback systems, stability analysis and margins. MATLAB labwork covering these topics.

(Cross-listed with CPR E). (3-3) Cr. 4.

*Prereq: CPR E 281; E E 201; credit or concurrent enrollment in E E 230*

Semiconductor technology for integrated circuits. Modeling of integrated devices including diodes, BJTs, and MOSFETs. Physical layout. Circuit simulation. Digital building blocks and digital circuit synthesis. Analysis and design of analog building blocks. Laboratory exercises and design projects with CAD tools and standard cells.

(Cross-listed with MAT E). (3-0) Cr. 3. S.

*Prereq: CPR E and E E majors: E E 230, MAT E majors: MAT E 317*

Introduction to semiconductor material and device physics. Quantum mechanics and band theory of semiconductors. Charge carrier distributions, generation/recombination, transport properties. Physical and electrical properties and fabrication of semiconductor devices such as MOSFETs, bipolar transistors, laser diodes and LED's.

(3-3) Cr. 4. F.

*Prereq: CPR E 281; E E 230*

Further topics in electronic systems design: Use of sensors and actuators. High-power amplifying and switching components. Linear and switched-mode power supplies. Linear and switched-mode amplifiers. Interfacing electronic components with programmable microcontrollers. Printed circuit board technology and design tools. Laboratory exercises and design projects incorporating printed circuit technology.

(Cross-listed with B M E). (3-0) Cr. 3.

*Prereq: B M E 220*

Overview of Micro-Electro-Mechanical-System (MEMS) technologies for bioengineering, fundamentals of microfluidic device design, fabrication, and characterization, survey of microfluidic functional building blocks for lab-on-a-chip applications including mixers, valves, channels, and chambers. Topics of nanotechnology in bioengineering, nanoscale building block technologies for bioengineering including self-assembling, surface chemical treatment, nano-imprinting, nano-particles, nano-tubes, nano-wires, and stimuli-responsive biomaterials.

(3-0) Cr. 3.

*Prereq: PHYS 232*

Energy-scientific, engineering and economic foundations. Energy utilization-global and national. Sectoral analysis of energy consumption. Relationship of energy consumption and production to economic growth and environment. Technology for energy production. Economic evaluation of energy utilization and production. Scientific basis for global warming. Environmental impact of energy production and utilization. Renewable energy.

Meets International Perspectives Requirement.

(Cross-listed with A B E, C E). (2-2) Cr. 3. F.

*Prereq: Junior classification in an Engineering Major*

Multi-disciplinary approach to sustainable engineering and international development, sustainable development, appropriate design and engineering, feasibility analysis, international aid, business development, philosophy and politics of technology, and ethics in engineering. Engineering-based projects from problem formulation through implementation. Interactions with partner community organizations or international partners such as nongovernment organizations (NGOs). Course readings, final project/design report.

Meets International Perspectives Requirement.

(2-2) Cr. 2.

*Prereq: E E 224*

Studio-based activity (guided problem-based learning and design) focusing on elements of design, measurement, data capture, and data interpretation. Team building, engineering professionalism, engineering process of review and critique, and presentation. Open design activities that may include working with other studios.

(Cross-listed with CPR E). Cr. R.

*Prereq: CPR E 294 or E E 294*

Exploration of academic and career fields for electrical and computer engineers. Examination of professionalism in the context of engineering and technology with competencies based skills. Introduction to professional portfolio development and construction.
Offered on a satisfactory-fail basis only.

(3-0) Cr. 3. S.

*Prereq: E E 311*

Time varying Maxwell’s equations; wave equation in an unbounded generally lossy (multi-layered) media; uniform plane waves, dielectric constant, propagation, attenuation and phase constants; wave impedance; phase and group velocities; wave polarization; reflection and transmission coefficients (at oblique incidence) at boundaries (conducting and dielectric); Doppler effect; transmission lines; propagation, attenuation, phase constants; phase velocity; characteristic impedance; load impedance and its influence; reflection and transmission coefficients; cascaded transmission lines; steady-state voltage and current; standing waves; SWR; Smith chart; matching techniques including, quarter-wave matching, single and double stub matching.

(Dual-listed with E E 514). (3-3) Cr. 4. F.

*Prereq: E E 230, E E 311*

Principles, analyses, and instrumentation used in the microwave portion of the electromagnetic spectrum. Wave theory in relation to circuit parameters. S parameters, couplers, discontinuities, and microwave device equivalent circuits. RF amplifier design, microwave sources, optimum noise figure and maximum power designs. Microwave filters and oscillators.

(Dual-listed with E E 517). (3-3) Cr. 4. S.

*Prereq: E E 311*

Fundamental antenna concepts. Radiation from wire-and aperture-type sources. Radio transmission formulas. Wave and antenna polarization. Antenna arrays. Modern antenna topics. Practical antenna design. Antenna noise. Radiowave propagation in the presence of the earth and its atmosphere. Antenna measurements and computer aided analysis.

(Cross-listed with CPR E). (3-2) Cr. 4. F.

*Prereq: E E 230 and E E 311*

Measurement of high speed systems and mixed signal systems. Measurement accuracy and error. Network analysis and spectrum analysis used in high speed measurement and testing. Test specification process and parametric measurement. Sampling and digital signal processing concepts. Design for testability. Testing equipment. Applications.

(Dual-listed with E E 519). (Cross-listed with MAT E). (3-0) Cr. 3. Alt. F., offered odd-numbered years.

*Prereq: E E 311 or MAT E 317 or PHYS 364*

Magnetic fields, flux density and magnetization. Magnetic materials, magnetic measurements. Magnetic properties of materials. Domains, domain walls, domain processes, magnetization curves and hysteresis. Types of magnetic order, magnetic phases and critical phenomena. Magnetic moments of electrons, theory of electron magnetism. Technological application, soft magnetic materials for electromagnets, hard magnetic materials, permanent magnets, magnetic recording technology, magnetic measurements of properties for materials evaluation.

(3-0) Cr. 3.

*Prereq: E E 321; E E 322; enrollment in E E 423*

Introduction to probability and random processes; Performance of analog systems with noise; Performance of digital communication with noise; optimum receivers, transmission impairments, and error rates; Introduction to information theory and coding: source coding, channel coding, channel capacity.

(3-3) Cr. 4.

*Prereq: E E 224*

Sampling and reconstruction. Concepts and mathematical tools in discrete-time signal and image processing with examples from communications, nondestructive evaluation (NDE), and medical imaging. Discrete-time correlation and matched-filter receivers. Discrete Fourier transform (DFT) and its fast implementation (FFT). 2-dimensional versions. Z transforms. Filter design. Realizations of discrete-time systems and quantization effects. Laboratory experiments illustrating DSP implementations and applications.

Cr. 3. S.

*Prereq: (E E 322 or STAT 322 or STAT 330); (MATH 207 or MATH 407 or MATH 507)*

Background material review (probability, calculus, linear algebra), Key machine learning tools and techniques. Supervised Learning: Linear Regression, Logistic Regression, Generative algorithms for classification (Gaussian & discrete-valued case; Naive Bayes assumption), Support Vector Machines, Decision trees; Unsupervised Learning: principal components analysis (PCA), robust PCA, clustering; Introduction to Deep Learning and Neural Networks; Basic Learning Theory and Bias-Variance Tradeoff; introduction to key Bayesian estimation concepts (MMSE estimation, Kalman filter, hidden Markov models).

(Dual-listed with E E 532). (Cross-listed with MAT E). (2-4) Cr. 4.

*Prereq: CPR E and E E majors: E E 230; MAT E majors: MAT E 317*

Techniques used in modern integrated circuit fabrication, including diffusion, oxidation, ion implantation, lithography, evaporation, sputtering, chemical-vapor deposition, and etching. Process integration. Process evaluation and final device testing. Extensive laboratory exercises utilizing fabrication methods to build electronic devices. Use of computer simulation tools for predicting processing outcomes. Recent advances in processing CMOS ICs and micro-electro-mechanical systems (MEMS).

(Cross-listed with CPR E). (3-3) Cr. 4. S.

*Prereq: E E 330*

Basic analog integrated circuit and system design including design space exploration, performance enhancement strategies, operational amplifiers, references, integrated filters, and data converters.

Cr. 3. S.

*Prereq: E E 332*

Use of energy band diagrams to describe the behavior of junction devices, electron and hole currents in transistors, junction capacitance, parasitic and second-order effects, development of circuit models from the underlying physical behavior, heterojunction devices, high-speed and high-power applications, measurement techniques.

(Dual-listed with E E 537). (Cross-listed with MAT E). Cr. 3. S.

*Prereq: E E 332 or MAT E 317 or PHYS 322*

Magnetic fields, flux density and magnetization. Magnetic materials, magnetic measurements. Magnetic properties of materials. Domains, domain walls, domain processes, magnetization curves and hysteresis. Types of magnetic order, magnetic phases and critical phenomena. Magnetic moments of electrons, theory of electron magnetism. Technological application, soft magnetic materials for electromagnets, hard magnetic materials, permanent magnets, magnetic recording technology, biomedical applications of magnetism, magnetic evaluation of materials.

(3-0) Cr. 3. S.

*Prereq: E E 332 or MAT E 334*

Concepts of quantum mechanics relevant to nanoelectronic devices, including quantization, tunneling, and transport; overview of some of the leading technologies for nanoelectronics, including carbon nanotubes, quantum dots, and molecular transistors; fabrication methods for building nanoelectronic devices.

(3-2) Cr. 2. F.S.

*Prereq: MATH 267; PHYS 232; PHYS 232L*

Half-semester course. Basic circuit analysis using network theorems with time domain and Laplace transform techniques for resistive, resistive-inductive, resistive-capacitive, and resistive- inductive-capacitive circuits. Transient circuit behavior. Basic operational amplifiers and applications. Familiarization with common E E instrumentation and demonstration of basic principles.
Credit for only 201 or 442 may be counted toward graduation; credit for 442 will not count toward graduation for E E or Cpr E majors.

(3-2) Cr. 2. F.S.

*Prereq: E E 442*

Half-semester course. Basics of DC machines, stepper motors, AC induction motors, and synchronous generators. AC steady state analysis, transformers, and three-phase circuit analysis.

(Cross-listed with B M E). (3-0) Cr. 3.

*Prereq: B M E 220*

Overview of biosensors and bioanalytical challenges; designing for performance including various analytical problems, ion-selective membranes, characteristics of enzymes and basics of bioaffinity sensing; fundamentals of bioselective layers including depositing films and membranes, surfaces for immobilization and bioselective agents; survey of different biosensing technologies including electroanalytical, biomembrane, optical, and acoustic-wave based sensors.

(Cross-listed with E M, M E). (2-2) Cr. 3. Alt. F., offered even-numbered years.

*Prereq: (MATH 266 or MATH 267); PHYS 231; PHYS 231L*

The basics of acoustic wave propagation in fluids with an emphasis on sound propagation in air. Topics include transmission and reflection of sound at a boundary; role of acoustic sources in directing sound fields; diffraction of sound around solid objects; reverberation of sound in a room; and the measurement of sound fields.

(2-3) Cr. 3. S.

*Prereq: E E 303; E E 324*

Basic concepts of electromagnetic energy conversion. DC motors and three-phase induction motors. Basic introduction to power electronics. Adjustable speed drives used for control of DC, induction, and AC motors. Experiments with converter topologies, DC motors, AC motors and adjustable speed drives.

(3-0) Cr. 3. F.

*Prereq: E E 303; credit or concurrent enrollment in E E 324*

Overhead and underground distribution system descriptions and characteristics, load descriptions and characteristics, overhead line and underground cable models, distribution transformers, power flow and fault analysis, overcurrent protection, power factor correction, system planning and automation, and economics in a deregulated environment.

(3-0) Cr. 3.

*Prereq: E E 303 or ECON 301*

Evolution of electric power industry. Power system operation and planning and related information systems. Linear and integer optimization methods. Short-term electricity markets and locational marginal prices. Risk management and financial derivatives. Basics of public good economics. Cost recovery models including tax treatment for transmission investments.

(Dual-listed with E E 559). (3-0) Cr. 3.

*Prereq: Credit or enrollment in E E 452, E E 456*

Summary of industry status and expected growth; power extraction from the air stream; operation and modeling of electric machines, and power electronics topologies for wind energy conversion; analysis of machine-grid power electronic circuits, controller interface, and collector (distribution) networks; treatment of harmonics, flicker, over/under-voltages, filters, low-voltage ride-through, and reactive compensation; relaying; effects on transmission expansion, planning and grid operation and coordination including variability, frequency control, reserves, and electricity markets; overview of storage technologies and hybrid configurations.

(Cross-listed with CPR E). (3-3) Cr. 4. F.

*Prereq: E E 330*

Digital design of integrated circuits employing very large scale integration (VLSI) methodologies. Technology considerations in design. High level hardware design languages, CMOS logic design styles, area-energy-delay design space characterization, datapath blocks: arithmetic and memory, architectures and systems on a chip (SOC) considerations. VLSI chip hardware design project.

(3-0) Cr. 3. F.

*Prereq: E E 324*

Stability and performance analysis of automatic control systems. The state space, root locus, and frequency response methods for control systems design. PID control and lead-lag compensation. Computer tools for control system analysis and design.

(2-3) Cr. 3. S.

*Prereq: E E 475*

Theory and practice of linear, nonlinear, and logic control systems, with hands-on labs on Modeling and Control of: Motor (model identification and validation, speed and position control using PID), Double-hinged inverted pendulum (model identification and validation, balance control using linearization and state-feedback, and swing-up control using sliding-mode), Quadcopter (model identification and validation, navigation and obstacle avoidance control using PID), PLC Assembly-line (ladder logic control for start/stop, sorting, assembly, and discharge using constructs of XIC/XIO/Timer/Counter/OSF/FIFO).

(Dual-listed with E E 588). (Cross-listed with MAT E). (3-0) Cr. 3. Alt. F., offered odd-numbered years.

*Prereq: MATH 265 and (MAT E 216 or MAT E 273 or MAT E 392 or E E 311 or PHYS 364)*

Electromagnetic fields of various eddy current probes. Probe field interaction with conductors, cracks and other material defects. Ferromagnetic materials. Layered conductors. Elementary inversion of probe signals to characterize defects. Special techniques including remote-field, transient, potential drop nondestructive evaluation and the use of Hall sensors. Practical assignments using a 'virtual' eddy current instrument will demonstrate key concepts.

(Dual-listed with E E 589). (Cross-listed with ENSCI, GEOL, MTEOR, NREM). (3-0) Cr. 3. F.

Electromagnetic-radiation principles, active and passive sensors, multispectral and hyperspectral sensors, imaging radar, SAR, thermal imaging, lidar. Examples of applications. Also offered online S.

(Dual-listed with E E 589L). (Cross-listed with GEOL, MTEOR, NREM). (0-3) Cr. 1. F.

*Prereq: 489L: E E 489 or GEOL 489 or MTEOR 489 or NREM 489, 589L: E E 589 or GEOL 589 or MTEOR 589 or NREM 589*

Processing and analysis of satellite sensor data (optical and radar). Provides practical applications in an environmental context.

Cr. arr. Repeatable.

*Prereq: Senior classification in Electrical Engineering; Permission of Department*

Investigation of an approved topic commensurate with the student's prerequisites.

Cr. arr.

*Prereq: Senior classification in Electrical Engineering; Permission of Department*

Investigation of an approved topic commensurate with the student's prerequisites.

(Cross-listed with CPR E, S E). (2-3) Cr. 3. F.S.

*Prereq: CPR E major: CPR E 232, cr or enrollment in CPR E 308, completion of 29 cr in the CPRE prof prog, ENGL 314. E E major: E E 232, cr or enrollment in E E 322, completion of 24 cr in the EE prof prog, ENGL 314. S E major: S E 317 and S E 339, ENGL 309 or ENGL 314. Co-req: CPR E 308 or COM S 352*

Preparing for entry to the workplace. Selected professional topics. Use of technical writing skills in developing project plan and design report; design review presentation. First of two-semester team-oriented, project design and implementation experience.

(Cross-listed with CPR E, S E). (1-3) Cr. 2. F.S.

*Prereq: CPR E 491 or E E 491 or S E 491*

Second semester of a team design project experience. Emphasis on the successful implementation and demonstration of the design completed in E E 491, CPR E 491, or S E 491 and the evaluation of project results. Technical writing of final project report; oral presentation of project achievements; project poster.

(Cross-listed with PHYS). (3-0) Cr. 3. F.

*Prereq: Credit or concurrent enrollment in (PHYS 322; PHYS 365; PHYS 480)*

Review of wave and electromagnetic theory; topics selected from: reflection/refraction, interference, geometrical optics, Fourier analysis, dispersion, coherence, Fraunhofer and Fresnel diffraction, holography, quantum optics, nonlinear optics.

**Courses primarily for graduate students, open to qualified undergraduates:**

(3-3) Cr. 4. F.

*Prereq: E E 435*

Design techniques for analog and mixed-signal VLSI circuits. Amplifiers; operational amplifiers, transconductance amplifiers, finite gain amplifiers and current amplifiers. Linear building blocks; differential amplifiers, current mirrors, references, cascading and buffering. Performance characterization of linear integrated circuits; offset, noise, sensitivity and stability. Layout considerations, simulation, yield and modeling for high-performance linear integrated circuits.

Cr. 3. Alt. F., offered even-numbered years.

*Prereq: E E 435, or Credit or Registration for E E 501*

Introducing in-depth chip-level power management integrated circuit (PMIC) designs, including switching power converters, linear regulators, charge pumps and other types of PMICs. Steady-state and dynamic response analysis and optimization of linear regulators and switching power converters with different control methodologies, such as voltage-/current-/band-band control. Chip-level circuit design considerations, optimizations and cadence simulations for PMICs, including system and block-level circuits, such as voltage reference, current source and current mirror, current sensor, ramp generator, non-overlapping power stage, and other circuits.

(3-3) Cr. 4. Alt. S., offered even-numbered years.

*Prereq: E E 501*

Theory, design and applications of data conversion circuits (A/D and D/A converters) including: architectures, characterization, quantization effects, conversion algorithms, spectral performance, element matching, design for yield, and practical comparators, implementation issues.

(3-3) Cr. 4.

*Prereq: E E 435 or E E 501 or instructor approval*

Analysis and design of phase-locked loops implemented in modern CMOS processes including: architectures, performance metrics, and characterization; noise and stability analysis; and design issues of phase-frequency detectors, charge pumps, loop filters (passive and active), voltage controlled oscillators, and frequency dividers.

(3-3) Cr. 4.

*Prereq: E E 501*

Filter design concepts. Approximation and synthesis. Transformations. Continuous-time and discrete time filters. Discrete, active and integrated synthesis techniques.

(3-0) Cr. 3.

*Prereq: E E 424 or equivalent and E E 435 or E E 501*

Introduction to mixed-signal IC testing; measurement uncertainty and test validity; IEEE standard test algorithms; high performance test and built-in self test challenges; new mixed-signal test algorithms and techniques to reduce data acquisition to relax instrumentation requirements, to simplify test setup, to improve test validity, and/or to enable co-testing of heterogeneous functions.

Cr. 1-3. Repeatable.

*Prereq: E E 311*

(3-0) Cr. 3. F.

*Prereq: E E 311*

Review of static electric and magnetic fields. Maxwell's equations. Circuit concepts and impedance elements. Propagation and reflection of plane waves in isotropic media. Guided electromagnetic wave. Characteristics of common waveguides and transmission lines. Propagation in anisotropic media. Special theorems and concepts. Radiation and scattering.

(3-0) Cr. 3. S.

*Prereq: E E 512*

Green's functions, perturbational and variational techniques. Analysis of microstrip lines and interconnects. Spectral domain approach, waves in layered media. Integral equations and method of moments. Inverse scattering. Electromagnetic applications.

(Dual-listed with E E 414). (3-3) Cr. 4. F.

*Prereq: E E 230, E E 311*

Principles, analyses, and instrumentation used in the microwave portion of the electromagnetic spectrum. Wave theory in relation to circuit parameters. S parameters, couplers, discontinuities, and microwave device equivalent circuits. RF amplifier design, microwave sources, optimum noise figure and maximum power designs. Microwave filters and oscillators.

(3-0) Cr. 3. S.

*Prereq: E E 311*

Maxwell's equations. Differential equation based methods. Finite difference and finite difference time domain methods, boundary conditions. Finite element method and applications to the analysis of practical devices. Integral equation based methods. Electric and magnetic field integral equations. Matrix solvers. Fast solution methods.

(Dual-listed with E E 417). (3-3) Cr. 4. S.

*Prereq: E E 311*

Fundamental antenna concepts. Radiation from wire-and aperture-type sources. Radio transmission formulas. Wave and antenna polarization. Antenna arrays. Modern antenna topics. Practical antenna design. Antenna noise. Radiowave propagation in the presence of the earth and its atmosphere. Antenna measurements and computer aided analysis.

(Cross-listed with AGRON, MTEOR). (3-0) Cr. 3. Alt. S., offered even-numbered years.

*Prereq: MATH 265*

Microwave remote sensing of Earth's surface and atmosphere using satellite-based or ground-based instruments. Specific examples include remote sensing of atmospheric temperature and water vapor, precipitation, ocean salinity, and soil moisture.

(Dual-listed with E E 419). (Cross-listed with M S E). (3-0) Cr. 3. Alt. F., offered odd-numbered years.

*Prereq: E E 311 or MAT E 317 or PHYS 364*

Magnetic fields, flux density and magnetization. Magnetic materials, magnetic measurements. Magnetic properties of materials. Domains, domain walls, domain processes, magnetization curves and hysteresis. Types of magnetic order, magnetic phases and critical phenomena. Magnetic moments of electrons, theory of electron magnetism. Technological application, soft magnetic materials for electromagnets, hard magnetic materials, permanent magnets, magnetic recording technology, magnetic measurements of properties for materials evaluation.

(3-0) Cr. 3. F.

*Prereq: E E 422, credit or enrollment in E E 523*

Digital communication systems overview. Characterization of communication channels. Digital modulation and demodulation design and performance analysis. Channel capacity and error-control coding concepts. Waveform design for band-limited channels. Equalization. Wireless fading channels and performance.

(Cross-listed with CPR E). (3-0) Cr. 3. Alt. F., offered irregularly.

*Prereq: Permission of instructor*

Topics on cognitive radio networks: Cognitive Radio Networks Architecture; Software Defined Radio Architecture; Spectrum Sensing; Spectrum Management; Spectrum Sharing; Spectrum Mobility; Applications of Cognitive Radio Networks.

(3-0) Cr. 3.

*Prereq: E E 322, MATH 317*

Axioms of probability; Repeated trials; Functions of a random variable and multiple random variables: covariance matrix, conditional distribution, joint distribution, moments, and joint moment generating function; Mean square estimation; stochastic convergence; Some important stochastic processes: Random walk, Poisson, Wiener, and shot noise; Markov chaines; Power spectral analysis; Selected applications.

(3-0) Cr. 3. F.

*Prereq: E E 322, E E 424, MATH 317*

Review: sampling and reconstruction of signals; discrete-time signals, systems, and transforms. Multi-rate digital signal processing and introduction to filter banks. Optimal linear filtering and prediction. Introductions to adaptive filtering and spectral estimation. Applications.

Cr. 3.

*Prereq: MATH 207, E E 322*

Review of basic theoretic tools such as linear algebra and probability. Machine learning basics will then be introduced to motivate deep learning networks. Different deep learning network architectures will be studied in detail, including their training and implementations. Applications and research problems will also be surveyed at the end of the class.

(3-0) Cr. 3. S.

*Prereq: E E 422*

Statistical estimation theory and performance measures: maximum likelihood estimation, Cramer-Rao bound, Bayesian estimation, optimal demodulation, signal design. Introduction to graphical models. Hidden Markov models and Kalman filter. Classical statistical decision theory, decision criteria, binary and composite hypothesis tests. Error probability and Chernoff bound. Applications.

(Cross-listed with CPR E). (3-0) Cr. 3. S.

*Prereq: E E 322 or equivalent*

Introduces a variety of data analytics techniques ‐ particularly those relevant for electrical and computer engineers ‐ from a foundational perspective. Topics to be covered include techniques for classification, visualization, and parameter estimation, with applications to signals, images, matrices, and graphs. Emphasis will be placed on rigorous analysis as well as principled design of such techniques.

Cr. 3.

*Prereq: E E 332; E E 432 or E E 532*

Fundamentals of modeling and design of micro-nanosystems and devices based on various operational mechanisms. Significant hands-on experience using commercial software COMSOL to design and model micro-nanosystems and devices for biomedical and biomedicine applications among others. Experimental hands-on experience to operate the fabricated micro-nanosystems and devices in the instructor's research lab.

(Dual-listed with E E 432). (Cross-listed with M S E). (2-4) Cr. 4.

*Prereq: CPR E and E E majors: E E 230; MAT E majors: MAT E 317*

Techniques used in modern integrated circuit fabrication, including diffusion, oxidation, ion implantation, lithography, evaporation, sputtering, chemical-vapor deposition, and etching. Process integration. Process evaluation and final device testing. Extensive laboratory exercises utilizing fabrication methods to build electronic devices. Use of computer simulation tools for predicting processing outcomes. Recent advances in processing CMOS ICs and micro-electro-mechanical systems (MEMS).

(Cross-listed with PHYS). (3-3) Cr. 4.

*Prereq: E E 311 and E E 332*

Basic elements of quantum theory, Fermi statistics, motion of electrons in periodic structures, crystal structure, energy bands, equilibrium carrier concentration and doping, excess carriers and recombination, carrier transport at low and high fields, space charge limited current, photo-conductivity in solids, phonons, optical properties, amorphous semiconductors, heterostructures, and surface effects. Laboratory experiments on optical properties, carrier lifetimes, mobility, defect density, doping density, photo-conductivity, diffusion length of carriers.

(Cross-listed with PHYS). (3-0) Cr. 3.

*Prereq: E E 535*

P-n junctions, band-bending theory, tunneling phenomena, Schottky barriers, heterojunctions, bipolar transistors, field-effect transistors, negative-resistance devices and optoelectronic devices.

(Dual-listed with E E 437). (Cross-listed with M S E). Cr. 3. S.

*Prereq: E E 332 or MAT E 317 or PHYS 322*

Magnetic fields, flux density and magnetization. Magnetic materials, magnetic measurements. Magnetic properties of materials. Domains, domain walls, domain processes, magnetization curves and hysteresis. Types of magnetic order, magnetic phases and critical phenomena. Magnetic moments of electrons, theory of electron magnetism. Technological application, soft magnetic materials for electromagnets, hard magnetic materials, permanent magnets, magnetic recording technology, biomedical applications of magnetism, magnetic evaluation of materials.

(3-0) Cr. 3.

*Prereq: E E 456, E E 457 or equivalent*

Characteristics of bulk energy conversion, storage, and transport technologies. Environmental legislation. Modeling of electricity markets. Evaluation of sustainability and resiliency. Types of planning analyses: economic, multi-sector, long-term, national. Planning tools and associated optimization methods.

(3-0) Cr. 3.

*Prereq: E E 455*

Transient models of distribution components, automated system planning and distribution automation, surge protection, reliability, power quality, power electronics and intelligent systems applications.

(3-0) Cr. 3.

*Prereq: E E 452*

Converter topologies, AC/DC, DC/DC, DC/AC, AC/AC. Converter applications to do motor drives, power supplies, AC motor drives, power system utility applications (var compensators) and power quality.

(Dual-listed with E E 459). (3-0) Cr. 3.

*Prereq: Credit or enrollment in E E 452, E E 456*

Summary of industry status and expected growth; power extraction from the air stream; operation and modeling of electric machines, and power electronics topologies for wind energy conversion; analysis of machine-grid power electronic circuits, controller interface, and collector (distribution) networks; treatment of harmonics, flicker, over/under-voltages, filters, low-voltage ride-through, and reactive compensation; relaying; effects on transmission expansion, planning and grid operation and coordination including variability, frequency control, reserves, and electricity markets; overview of storage technologies and hybrid configurations.

(Cross-listed with AER E, I E). (3-0) Cr. 3.

*Prereq: Coursework in basic statistics*

Introduction to organized multidisciplinary approach to designing and developing systems. Concepts, principles, and practice of systems engineering as applied to large integrated systems. Life-cycle costing, scheduling, risk management, functional analysis, conceptual and detail design, test, evaluation and systems engineering planning and organization.
Not available for degrees in industrial engineering.

(Cross-listed with AER E). (3-0) Cr. 3. S.

*Prereq: E E 565*

Avionics functions. Applications of systems engineering principles to avionics. Top down design of avionics systems. Automated design tools.

(3-0) Cr. 3.

Introduction to convex optimization problems emerging in electrical engineering. Efficiently solving convex optimization problems with the use of interior point algorithms software. Review of linear algebra, convex functions, convex sets, convex optimization problems, duality, disciplined convex programming, applications to optimal filtering, estimation, control and resources allocations, sensor network, distributed systems.

(Cross-listed with AER E, M E). (3-0) Cr. 3. F.

*Prereq: E E 324 or AER E 331 or M E 370 or M E 411 or MATH 341*

Elementary notions of probability. Random processes. Autocorrelation and spectral functions. Estimation of spectrum from finite data. Response of linear systems to random inputs. Discrete and continuous Kalman filter theory and applications. Smoothing and prediction. Linearization of nonlinear dynamics.

(Cross-listed with AER E, M E). (3-0) Cr. 3. S.

*Prereq: E E 577*

The optimal control problem. Variational approach. Pontryagin's principle, Hamilton-Jacobi equation. Dynamic programming. Time-optimal, minimum fuel, minimum energy control systems. The regulator problem. Structures and properties of optimal controls.

(Cross-listed with AER E, M E). (3-0) Cr. 3.

*Prereq: E E 577*

Introduction to modern robust control. Model and signal uncertainty in control systems. Uncertainty description. Stability and performance robustness to uncertainty. Solutions to the H2, Hoo, and l1 control problems. Tools for robustness analysis and synthesis.

(Cross-listed with AER E, M E). (3-0) Cr. 3. F.

*Prereq: E E 475 or AER E 432 or M E 411 or MATH 415; and MATH 267*

Sampled data, discrete data, and the z-transform. Design of digital control systems using transform methods: root locus, frequency response and direct design methods. Design using state-space methods. Controllability, observability, pole placement, state estimators. Digital filters in control systems. Microcomputer implementation of digital filters. Finite wordlength effects. Linear quadratic optimal control in digital control systems. Simulation of digital control systems.

(Cross-listed with AER E, M E, MATH). (3-0) Cr. 3. F.

*Prereq: E E 324 or AER E 331 or MATH 415; and MATH 207*

Linear algebra review. Least square method and singular value decomposition. State space modeling of linear continuous-time systems. Solution of linear systems. Controllability and observability. Canonical description of linear equations. Stability of linear systems. State feedback and pole placements. Observer design for linear systems.

(Cross-listed with AER E, M E, MATH). (3-0) Cr. 3. S.

*Prereq: E E 577*

Linear vs nonlinear systems. Phase plane analysis. Bifurcation and center manifold theory. Lyapunov stability. Absolute stability of feedback systems. Input-output stability. Passivity theory and feedback linearization. Nonlinear control design techniques.

(Dual-listed with E E 488). (Cross-listed with M S E). (3-0) Cr. 3. Alt. F., offered odd-numbered years.

*Prereq: MATH 265 and (MAT E 216 or MAT E 273 or MAT E 392 or E E 311 or PHYS 364)*

Electromagnetic fields of various eddy current probes. Probe field interaction with conductors, cracks and other material defects. Ferromagnetic materials. Layered conductors. Elementary inversion of probe signals to characterize defects. Special techniques including remote-field, transient, potential drop nondestructive evaluation and the use of Hall sensors. Practical assignments using a 'virtual' eddy current instrument will demonstrate key concepts.

(Dual-listed with E E 489). (Cross-listed with ENSCI, GEOL, MTEOR, NREM). (3-0) Cr. 3. F.

Electromagnetic-radiation principles, active and passive sensors, multispectral and hyperspectral sensors, imaging radar, SAR, thermal imaging, lidar. Examples of applications. Also offered online S.

(Dual-listed with E E 489L). (Cross-listed with GEOL, MTEOR, NREM). (0-3) Cr. 1. F.

*Prereq: 489L: E E 489 or GEOL 489 or MTEOR 489 or NREM 489, 589L: E E 589 or GEOL 589 or MTEOR 589 or NREM 589*

Processing and analysis of satellite sensor data (optical and radar). Provides practical applications in an environmental context.

Cr. 1-6. Repeatable.

Formulation and solution of theoretical or practical problems in electrical engineering.

Cr. 1-6. Repeatable.

Formulation and solution of theoretical or practical problems in electrical engineering.

Cr. 1-6. Repeatable.

Formulation and solution of theoretical or practical problems in electrical engineering.

Cr. 1-6. Repeatable.

Formulation and solution of theoretical or practical problems in electrical engineering.

Cr. 1-6. Repeatable.

Formulation and solution of theoretical or practical problems in electrical engineering.

Cr. 1-6. Repeatable.

Formulation and solution of theoretical or practical problems in electrical engineering.

Cr. 1-6. Repeatable.

Formulation and solution of theoretical or practical problems in electrical engineering.

Cr. 1-6. Repeatable.

Formulation and solution of theoretical or practical problems in electrical engineering.

Cr. 1-6. Repeatable.

Formulation and solution of theoretical or practical problems in electrical engineering.

(1-0) Cr. 1-4. Repeatable, maximum of 8 times. F.S.

Technical seminar presentations on topics in various areas in electrical engineering. It will have the following sections, corresponding to graduate study areas in the department: Bioengineering; Communications, signal processing, and machine learning; Electric power and energy systems; Electromagnetic, microwave, and nondestructive evaluation; Microelectronics and photonics; Systems and controls; and VLSI.
Offered on a satisfactory-fail basis only.

Cr. 1-3. Repeatable, maximum of 6 credits. F.S.SS.

Investigation of an approved topic commensurate with the student's prerequisites.

(Cross-listed with CPR E). Cr. R. F.S.

*Prereq: Electrical and Computer Engineering Graduate Student*

Introduction to graduate study in Electrical and Computer Engineering at Iowa State University. Building networks, introduction to core requirements, and tools and techniques for success.
Offered on a satisfactory-fail basis only. ECpE

Cr. arr. Repeatable.

**Courses for graduate students:**

(3-0) Cr. 3. F.

*Prereq: E E 417 or E E 517*

Introduction to several advanced topics related to antenna design, analysis, and fabrication; beyond what is covered in E E 417 or E E 517 which primarily addresses fundamental foundations of antenna theory, analysis, and design. Topics include: Radiation integrals and methods; Polarization, in a comprehensive manner; antenna synthesis and continuous sources; Integral equations, self and mutual impedances, and vector effective length; Aperture antennas and field calculation fundamentals; Near-field to far-field transformation; Microstrip antennas; and Reconfigurable antenna fundamentals. Assignments will involve the use of numerical electromagnetic solvers such as HFSS and CST Microwave Studio. Expands skill sets in the area of numerical EM analysis, which is a critical issue for practical and advanced antenna design problems.

(3-0) Cr. 3.

*Prereq: E E 521*

Fundamentals of error-control coding techniques: coding gain, linear block codes. Galois fields. Cyclic codes: BCH, Reed-Solomon. Convolutional codes and the Viterbi algorithm. Trellis-coded modulation. Iterative decoding. Recent developments in coding theory.

(3-0) Cr. 3. Repeatable.

*Prereq: Permission of instructor*

Advanced topics of current interest in electric power system engineering.

(3-0) Cr. 3. Repeatable.

*Prereq: Permission of instructor*

Advanced topics of current interest in the areas of control theory, stochastic processes, digital signal processing, and image processing.

(Cross-listed with AGRON, BCB, ENGR, GENET, M E). (3-0) Cr. 1. Repeatable, maximum of 2 credits. F.S.

*Prereq: Graduate student status and completion of at least one semester of graduate coursework.*

Understanding key topics of starting a technology based company, from development of technology-led idea to early-stage entrepreneurial business. Concepts discussed include: entrepreneurship basics, starting a business, funding your business, protecting your technology/business IP. Subject matter experts and successful, technology-based entrepreneurs will provide real world examples from their experience with entrepreneurship. Learn about the world class entrepreneurship ecosystem at ISU and Central Iowa.
Offered on a satisfactory-fail basis only.

(Cross-listed with CPR E). Cr. R. Repeatable.

One semester and one summer maximum per academic year professional work period.
Offered on a satisfactory-fail basis only.

Cr. arr. Repeatable.