The courses offered are subject to change. They will be cancelled from UNITE if there are no registrations the week before classes start. Course descriptions are taken from University Web site http://onestop2.umn.edu/courses/tc/designators.jsp . Courses topics may be revised per instructor. Contact instructor for more up-to-date and specific information.

View U of Minnesota General Class Schedule .

Note about Final Exams: Final exam dates listed, as posted in the official University of Minnesota Class Schedule, or changed due to instructor's decision. UNITE will broadcast on Saturdays. If you choose to take the exam off site, you will need to have a proctor administer the exam. If you need to make other arrangements you will need to contact the instructor directly.

Grad 0999 –- Call Number –26622 -UNITE students must register online themselves for this status. Graduate students registering for this status must register before the semester begins or they will be charged the normal late registration fees.

Undergraduate students who wish to enroll in a 5xxx EE course need to review this announcement.

Note: UNITE call numbers will be filled in by the UNITE office once we receive your registration. We DO NOT use on-campus section numbers (i.e. 001) that you would find on the regular on-campus course listing.

FALL SCHEDULE

AEM 5401 - Intermediate Dynamics
MWF 10:10-11:00
Demoz Gebre-Egziabher
(3.0 cr; Prereq-IT upper div or grad, 2012, Math 2243)
Three-dimensional Newtonian mechanics, kinematics of rigid bodies, dynamics of rigid bodies, generalized coordinates, holonomic constraints, Lagrange equations, applications.

AEM 5451 - Optimal Estimation
MWF 12:20-1:10
Tryphon Georgiou
(3.0 cr; Prereq-[[Math 2243, Stat 3021] or equiv, 4311] or #)
Basic probability theory. Batch/recursive least squares estimation. Filtering of linear/non-linear systems using Kalman and extended Kalman filters. Applications to sensor fusion, fault detection, and system identification.

AEM 8401 - Linear Systems & Optimal Control (Co-taught with EE 5231)
MWF 125-215
Mihailo Jovanovic
(3.0 cr; Prereq-4311)
State space theory for multiple-input-multiple-output (MIMO) aerospace systems. Singular value decomposition (SVD) technique and its applications to performance and robustness. Linear quadratic gaussian (LQG) and eigenstructure assignment design methodologies. Topics in H[infinity symbol]. Applications.

BMEN 5201 - Advanced Biomechanics
MWF 1115-1205
Narendra Simha
(3.0 cr; Prereq-[[3001 or equiv], [IT upper div or grad student]] or #)
Introduction to biomechanics of musculoskeletal system. Anatomy, tissue material properties. Kinematics, dynamics, and control of joint/limb movement. Analysis of forces/motions within joints. Application to injury, disease. Treatment of specific joints, design of orthopedic devices/implants.

BMEN 5401 - Advanced Functional Biomedical Imaging
MW 200-315
Bin He
(3.0 cr; Prereq-IT upper div or grad student or #; A-F or Aud)
Functional biomedical imaging modalities. Principles/applications of representative functional imaging technologies that offer high spatial resolution or temporal resolution. Emphasizes principles and methodological foundations of bioelectromagnetic imaging and magnetic resonance imaging. Other functional biomedical imaging modalities.

BMEN 5501 - Biology for Biomedical Engineers
MWF 1220-105
Jonathan Sachs
Graduate students must take class for 4 credits
(3.0 - 4.0 cr [max 4.0 cr]; Prereq-Engineering upper div or grad student)
Concepts of cell/tissue structure/function. Basic principles of cell biology. Tissue engineering, artificial organs.

BMEN 8601 - Biomedical Engineering Seminar
Monday 335-430
Victor Barocas
(1.0 cr; S-N or Aud)
Lectures and demonstrations of university and industry research introducing students and faculty to methods and goals of biomedical engineering.

CHEN 5771 - Colloids and Dispersions
TTh 230-345
Chris Macosko
(3.0 cr; =[01472]; Prereq-Physical chemistry; A-F or Aud, fall, every year)
Preparation, stability, coagulation kinetics or colloidal solutions. DLVO theory, electrokinetic phenomena. Properties of micelles, other microstructures.

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CSCI 4211 - Introduction to Computer Networks
MW 1245-200
Tian He
(3.0 cr; =[CSCI 5211]; Prereq-4061 or #; basic knowledge of [computer architecture, operating systems] recommended, cannot be taken for grad CSci cr)
Concepts, principles, protocols, and applications of computer networks. Layered network architectures, data link protocols, local area networks, routing, transport, network programming interfaces, networked applications. Examples from Ethernet, Token Ring, TCP/IP, HTTP, WWW.

CSCI 5103 - Operating Systems
MW 400-515
Anand Tripathi
(3.0 cr; Prereq-4061 or #)
Conceptual foundation of operating system designs and implementations. Relationships between operating system structures and machine architectures. UNIX implementation mechanisms as examples.

CSCI 5106 - Programming Languages
TTh 1115-1230
Eric VanWyk
(3.0 cr; Prereq-4011 or #)
Design and implementation of high-level languages. Course has two parts: (1) language design principles, concepts, constructs; (2) language paradigms, applications. Note: course does not teach how to program in specific languages.

CSCI 5107 - Fundamentals of Computer Graphics 1
TTh 1245-200
Gary Meyer
(3.0 cr; =[CSCI 4107]; Prereq-[4041 or #], fluency in C/C++, mastery of basic concepts in linear algebra)
Fundamental algorithms in computer graphics. Emphasizes programming projects in C/C++. Scan conversion, hidden surface removal, geometrical transformations, projection, illumination/shading, parametric cubic curves, texture mapping, antialising, ray tracing. Developing graphics software, graphics research.

CSCI 5109 - Visualization
TTh 945-1100
Victoria Interrante
(3.0 cr; Prereq-1902, 4041 or equiv or #)
Fundamental theory/practice in data visualization. Emphasizes programming applications. Volume visualization, vector field visualization, information visualization, multivariate visualization, visualization of large datasets, visualization in immersive virtual environments, and perceptual issues in effective data representation. Projects are implemented in C++ using VTK or similar visualization API.

CSCI 5115 - User Interface Design, Implementation and Evaluation
MW 945-1100
Loren Terveen
Students must work in groups of size 4-5 for a project. Students can form groups with on-campus students or other UNITE students. Students are responsible for forming groups. For more information check out the following links.
http://www-users.itlabs.umn.edu/classes/Fall-2007/csci5115/
http://www-users.itlabs.umn.edu/classes/Fall-2007/csci5115/index.php?page=project
http://www-users.itlabs.umn.edu/classes/Fall-2007/csci5115/index.php?page=sampleProjects
(3.0 cr; Prereq-4041 or #; fall, every year)
Theory, design, programming, and evaluation of interactive application interfaces. Human capabilities and limitations, interface design and engineering, prototyping and interface construction, interface evaluation, and topics such as data visualization and World Wide Web. Course is built around a group project.

CSCI 5204 - Advanced Computer Architecture (Co-taught with EE 5364)
MWF 1010-1100
Pen-Chung Yew
(3.0 cr; =[00696]; Prereq-4203 or EE 4363)
Instruction set architecture, processor microarchitecture, memory, I/O systems. Interactions between computer software and hardware. Methodologies of computer design.

CSCI 5211 - Data Communications and Computer Networks
TTh 230-345
David Du
(3.0 cr; =[CSCI 4211]; Prereq-[4061 or #], basic knowledge of [computer architecture, operating systems, probability])
Fundamental concepts, principles, protocols, and applications of computer networks. Layered network architectures, data link protocols, local area networks, network layer/routing protocols, transport, congestion/flow control, emerging high-speed networks, network programming interfaces, networked applications. Case studies using Ethernet, Token Ring, FDDI, TCP/IP, ATM, Email, HTTP, and WWW.

CSCI 5271 - Introduction to Computer Security
TTh 1115-1230
Nicholas Hopper
(3.0 cr; Prereq-4061 or equiv or #)
Concepts of computer, network, and information security. Risk analysis, authentication, access control, security evaluation, audit trails, cryptography, network/database/application security, viruses, firewalls.

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CSCI 5304 - Computational Aspects of Matrix Theory
TTh 815-930
Yousef Saad
(3.0 cr; Prereq-2031 or #)
Perturbation theory for linear systems and eigenvalue problems. Direct/iterative solution of large linear systems. Matrix factorizations. Computation of eigenvalues/eigenvectors. Singular value decomposition. LAPACK/other software packages. Introduction to sparse matrix methods.

CSCI 5421 - Advanced Algorithms and Data Structures
MW 815-930
Ravi Janardan
(3.0 cr; Prereq-4041 or #)
Fundamental paradigms of algorithm and data structure design. Divide-and-conquer, dynamic programming, greedy method, graph algorithms, amortization, priority queues and variants, search structures, disjoint-set structures. Theoretical underpinnings. Examples from various problem domains.

CSCI 5451 - Introduction to Parallel Computing: Architectures, Algorithms, and Programming
TTh 945-1100
George Karypis
(3.0 cr; Prereq-4041 or #; spring, every year)
Parallel architectures design, embeddings, routing. Examples of parallel computers. Fundamental communication operations. Performance metrics. Parallel algorithms for sorting. Matrix problems, graph problems, dynamic load balancing, types of parallelisms. Parallel programming paradigms. Message passing programming in MPI. Shared-address space programming in openMP or threads.

CSCI 5481 - Computational Techniques for Genomics
MW 230-345
Rui Kuang
(3.0 cr; Prereq-4041 or #)
Techniques to analyze biological data generated by genome sequencing, proteomics, cell-wide measurements of gene expression changes. Algorithms for single/multiple sequence alignments/assembly. Search algorithms for sequence databases, phylogenetic tree construction algorithms. Algorithms for gene/promoter and protein structure prediction. Data mining for micro array expression analysis. Reverse engineering of regulatory networks.

CSCI 5511 - Artificial Intelligence I
TTh 400-515
Maria Gini
(3.0 cr; Prereq-2011 or #)
Introduction to AI. Problem solving, search, inference techniques. Logic and theorem proving. Knowledge representation, rules, frames, semantic networks. Planning and scheduling. Lisp programming language.

CSCI 5525 - Machine Learning
MW 400-515
Arindam Banerjee
(3.0 cr; Prereq-Grad student or #; fall, even years)
Models of learning. Supervised algorithms such as perceptrons, logistic regression, and large margin methods (SVMs, boosting). Hypothesis evaluation. Learning theory. Online algorithms such as winnow and weighted majority. Unsupervised algorithms, dimensionality reduction, spectral methods. Graphical models.

CSCI 5551 - Introduction to Intelligent Robotic Systems
TTh 230-345
Nikolaos Papanikolopoulos
(3.0 cr; Prereq-2031 or #)
Transformations, kinematics/inverse kinematics, dynamics, control. Sensing (robot vision, force control, tactile sensing), applications of sensor-based robot control, robot programming, mobile robotics, microrobotics.

CSCI 5707 - Principles of Database Systems
MW 1115-1230
Jaideep Srivastava
(3.0 cr; =[CSCI 4707, INET 4707]; Prereq-4041 or #)
Concepts, database architecture, alternative conceptual data models, foundations of data manipulation/analysis, logical data models, database designs, models of database security/integrity, current trends.

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CSCI 5801 - Software Engineering I
Tuesday 630-900
Phil Barry
(3.0 cr; Prereq-[1902, 2011] or #)
Advanced introduction to software engineering. Software life cycle, development models, software requirements analysis, software design, coding, maintenance.

CSCI 8211 - Advanced Computer Networks and Their Applications
Wednesday 630-900
Zhi-Li Zhang
(3.0 cr; Prereq-5211 or #)
Current research issues in traffic and resource management, quality-of-service provisioning for integrated services networks (such as next-generation Internet and ATM networks) and multimedia networking.

CSCI 8363 - Numerical Linear Algebra in Data Exploration
TTh 400-515
Daniel Boley
(3.0 cr; Prereq-5304 or #)
Computational methods in linear algebra, matrix decompositions for linear equations, least squares, eigenvalue problems, singular value decomposition, conditioning, stability in method for machine learning, large data collections. Principal directions, unsupervised clustering, latent semantic indexing, linear least squares fit. Markov chain models on hyperlink structure.

CSCI 8701 - Overview of Database Research
MW 400-515
Jaideep Srivastava
(3.0 cr; Prereq-5708 or #; fall, spring, offered when feasible)
Research papers from journals and conferences on current topics in databases, such as database research methodologies, relational implementation techniques, active databases, storage systems, benchmarking, distributed and parallel databases, new data models, prototype systems, data mining, and future directions.

CSCI 8970 - Computer Science Colloquium
Monday 1115-1215
(1.0 cr [max 3.0 cr]; S-N or Aud)
Recent developments in computer science and related disciplines. Students must attend 13 of the 15 lectures.

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EE 3005 - Fundamentals of Electrical Engineering
MWThF, 8:00-8:50
Ted Higman
(4.0 cr; Prereq-Math 2243, Phys 1302; not for EE majors; fall, spring, summer, every year)
Fundamentals of analog electronics, digital electronics, and power systems. Circuit analysis, electronic devices and applications, digital circuits, microprocessor systems, operational amplifiers, transistor amplifiers, frequency response, magnetically coupled circuits, transformers, steady state power analysis.

EE 3115 - Analog and Digital Electronics
Lecture: MWThF, 905-955
ON-CAMPUS DISCUSSION: TH 335-425, EE/CS 1262 5 SPACES
Bill Robbins
(4.0 cr; Prereq-[3015 or & 3015, IT] or %; fall, spring, summer, every year)
Feedback amplifiers. Stability and compensation. Oscillators. Internal structure of operational amplifiers. Switching active devices. BJT and FET logic gates. Sequential circuits. Designing complex digital circuits.

EE 3161 - Semiconductor Devices
Lecture: 815-930, TTh
Discussion: 230-320, Tuesday
Jian-Ping Wang
(3.0 cr; Prereq-Upper div IT, 2011, Phys 1302, Phys 2303 or Chem 1022; fall, spring, every year)
Elementary semiconductor physics; physical description of pn junction diodes, bipolar junction transistors, field-effect transistors.

EE 4741 - Power Electronics
MWF 800-850
Ned Mohan
(3.0 cr; Prereq-3015, 3115; fall, every year)
Switch-mode power electronics. Switch-mode DC power supplies. Switch-mode converters for DC and AC motor drives, wind/photovoltaic inverters, interfacing power electronics equipment with utility system. Power semiconductor devices, magnetic design, electro-magnetic interference (EMI).

EE 5163 - Semiconductor Properties and Devices I
MWF 1220-110, ME 212
Phil Cohen
(3.0 cr; Prereq-[3161, 3601, IT grad student] or %; fall, every year)
Principles/properties of semiconductor devices. Selected topics in semiconductor materials, statistics, and transport. Aspects of transport in p-n junctions, heterojunctions.

EE 5171 - Microelectronic Fabrication
TTh 400-545
Steve Campbell
(4.0 cr; Prereq-IT grad student or ?)
Fabrication of microelectronic devices. Silicon integrated circuits, GaAs devices. Lithography, oxidation, diffusion. Process integration of various technologies, including CMOS, double poly bipolar, and GaAs MESFET.

EE 5181 - Introduction to Nanotechnology
MW 440-555
Heiko O. Jacobs
(4.0 cr; Prereq-[3161, 3601, IT grad student])
Nanoscale imaging. Patterning using scanning srobes, soft-lithography, stamping, and molding. Nanomaterials, properties, synthesis, applications. Nanomanufacturing/component integration using engineered self-assembly/nanotransfer. Labs on AFM, microcontact printing, nanoparticles/nanowire synthesis.

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EE 5231 - Linear Systems and Optimal Control (Co-taught with AEM 8401)
MWF 125-215
Mihailo Jovanovic
(3.0 cr; Prereq-[3015, IT grad student] or #)
Properties and modeling of linear systems. Linear quadratic and linear-quadratic-Gaussian regulators. Maximum principle.

EE 5301 - VLSI Design Automation I
MW 440-555
No Instructor Yet Assgined
(3.0 cr; Prereq-[2301, IT grad student] or ?)
Basic graph/numerical algorithms. Algorithms for logic/high-level synthesis. Simulation algorithms at logic/circuit level. Physical-design algorithms.

EE 5323 - VLSI Design I
MWF 335-425
Chris Kim
(3.0 cr; Prereq-[2301, 3115, IT grad student] or ?)
Combinational static CMOS circuits. Transmission gate networks. Clocking strategies, sequential circuits. CMOS process flows, design rules, structured layout techniques. Dynamic circuits, including Domino CMOS and DCVS. Performance analysis, design optimization, device sizing.

EE 5329 - Cancelled by department 2/19/08

EE 5333 - Analog Integrated Circuit Design
TTh 945 - 1100
Ted Higman
(3.0 cr; Prereq-[3115, IT grad student] or ?)
Fundamental circuits for analog signal processing. Design issues associated with MOS/BJT devices. Design/testing of circuits. Selected topics (e.g., modeling of basic IC components, design of operational amplifier or comparator or analog sampled-data circuit filter).

EE 5364 - Advanced Computer Architecture (Co-taught with CS 5204)
MWF 1010-1100
Pen-Chung Yew
(3.0 cr; =[00579]; Prereq-[[4363 or CSci 4203], IT grad student] or ?)
Instruction set architecture, processor microarchitecture. Memory and I/O systems. Interactions between computer software and hardware. Methodologies of computer design.

EE 5371 - Computer Systems Performance Measurement and Evaluation
TTh 230-345
David Lilja
(3.0 cr; =[EE 5863]; Prereq-[[4364 or 5361 or CSci 4203 or 5201], IT grad student] or %; fall, spring, offered when feasible)
Tools/techniques for analyzing computer hardware, software, and system performance. Benchmark programs, measurement tools, performance metrics. Deterministic/probabilistic simulation techniques, random number generation/testing. Bottleneck analysis.

EE 5393 - Circuits, Computation & Biology
WF 200-330
Marc Riedel
(3.0 cr; Prereq-[MATH 2263, [3025 or STAT 3021]] or %)
Connections between digital circuit design and synthetic/computational biology. Probabilistic, discrete-event simulation. Timing analysis. Information-Theoretic Analysis. Feedback in digital circuits and in genetic regulatory systems. Synthesizing stochastic logic and probabilistic biochemistry.

EE 5501 - Digital Communication
TTh 1115-1230
No Instructor Yet Assigned
(3.0 cr; Prereq-[3025, 4501, IT grad student] or ?)
Theory/techniques of modern digital communications. Communication limits. Modulation/detection. Data transmission over channels with intersymbol interference. Optimal/suboptimal sequence detection. Equalization. Error correction coding. Trellis-coded modulation. Multiple access.

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EE 5531 - Probability and Stochastic Processes
MWF 1115-1205
(3.0 cr; Prereq-[3025, IT grad student] or ?)
John Kieffer
Probability, random variables and random processes. System response to random inputs. Gaussian, Markov and other processes for modeling and engineering applications. Correlation and spectral analysis. Estimation principles. Examples from digital communications and computer networks.

EE 5551 - Multiscale and Multirate Signal Processing
TTh 945-1100
Ahmed Tewfik
(3.0 cr; Prereq-[4541, 5531, IT grad student] or %)
Multirate discrete-time systems. Bases, frames. Continuous wavelet transform. Scaling equations. Discrete wavelet transform. Applications in signal/image processing.

EE 5581 - Information Theory and Coding
TTh 1245-200
John Kieffer
(3.0 cr; Prereq-[5531, IT grad student] or ?)
Source/channel models, codes for sources/channels. Entropy, mutual information, capacity, rate-distortion functions. Coding theorems.

EE 5616 - Antenna Theory and Design
TTh 815-930
No Instructor Yet Assigned
(3.0 cr; Prereq-[[5601 or &5601], IT grad student] or %)
Antenna performance parameters, vector potential/radiation integral, wire antenna structures, broadband antenna structures, microstrips/aperture theory, antenna measurements.

EE 5627 - Optical Fiber Communication
TTh 400-515
No Instructor Yet Assigned
(3.0 cr; Prereq-[3015, 3601, IT grad student] or %; spring, every year)
Components/systems aspects of optical fiber communication. Modes of optical fibers. Signal degradation/dispersion. Optical sources/detectors. Digital/analog transmissions systems. Direct/coherent detection. Optical amplifiers. Optical soliton propagation.

EE 5653 - Physical Principles of Magnetic Materials
MWF 230-320
Randall Victora
(3.0 cr; Prereq-IT grad student or ?)
Physics of diamagnetism, paramagnetism, ferromagnetism, antiferromagnetism, ferrimagnetism. Ferromagnetic phenomena. Static/dynamic theory of micromagnetics, magneto-optics, and magnetization dynamics. Magnetic material applications.

EE 5657W - Physical Principles of Thin Film Technology (WI)
TTh 1115-1230 - Students must also attend an on-campus lab
Lab Th 4:40-6:35 EE/CSci 5116 (006) (5 spaces available as of 3/13/08)
Beth Stadler
(4.0 cr; Prereq-IT grad student or #)
Physical principles of deposition, characterization, and processing of thin film materials. Materials science, vacuum science, and technology. Physical vapor deposition techniques. Properties of thin films and metallurgical/protective coatings. Modification of surface films. Emerging thin film materials/applications. Lab. Demonstration experiments.

EE 5811 - Cancelled by department 3/28/08

EE 5940 - Introduction to Nanophotonics and Biophotonics
TTh 345-515
Sang-Hyun Oh
(3.0 cr; Prerequisites: Basic knowledge of Maxwell’s equations)
The course will cover basics of optics in nanostructures and their applications for photonics, biosensing and biological imaging.
Fundamentals
• Review of Maxwell’s equations, electrodynamics of metals
• Fresnel’s equations
• Photonic crystals
Nano-Optics
• Surface plasmon waves
• Nanoparticle optics (metal particles & quantum dots)
• Near-field imaging and microscopy
• Light transmission through nanoscale apertures
• Negative refractive index and superlens
Biophotonics and Biological Imaging
• Basic concepts and advanced microscopy
• Raman spectroscopy and surface enhanced Raman spectroscopy (SERS)
• Surface plasmon resonance (SPR) biosensors
• Advanced microscopy: Fluorescence techniques, Confocal imaging, Total Internal Reflection Fluorescence (TIRF) microscopy, FRET
Hands-on computer simulations:
1) SPR phenomena and light transmission through nano-apertures
2) Finite-Difference Time Domain (FDTD) simulations of wave propagation

EE 8591 - Predictive Learning from Data
TTh 1115-1230
Vladimir Cherkassky
(3.0 cr; Prereq-IT grad student or #)
Basic elements and application areas of artificial intelligence (AI) related to design and implementation of expert systems (ES). Knowledge representation, reasoning under uncertainty, ES and their environment, planning, natural language processing (NLP), intelligent computer-aided instruction (ICAI), and AI tools (software and hardware).

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EE 8660 - Cancelled by department 3/7/08

EE Colloquium
UNITE STUDENTS CAN NOT TAKE SEMINAR FOR CREDIT
Thursday 400-515
Emad Ebbini
Topics vary according to needs and staff availability.

IE 5541 - Project Management
Tuesday 610-930 (9 spaces available as of 3/13/08)
Corrie Fiedler
(4.0 cr; Prereq-Upper div or grad student)
Introduction to engineering project management. Analytical methods of selecting, organizing, budgeting, scheduling, and controlling projects, including risk management, team leadership, and program management.

ME 5344 - Thermodynamics of Fluid Flow with Applications
Tuesday, 610-930
Ephraim Sparrow
(4.0 cr; Prereq-IT upper div or grad student, 3321, 3322; A-F or Aud, fall, spring, every year)
Conservation of mass, momentum, and energy for compressible gas flows. Relevant thermodynamic properties. Nozzles, diffusers, thrust producers, shocks. Fluid-wall frictional interactions. Wall heat transfer, internal heat release. Temperature recovery. Mass addition. Chemical thermodynamics/applications.)

NPSE 8001 - Introduction to Nanoparticle Science and Engineering
MW 215-315
Steven Girshick
(3.0 cr; A-F or Aud)
A broad, interdisciplinary overview of the emerging field of nanoparticle science and engineering. This introductory course, designed for students with diverse backgrounds in science and engineering, covers a wide spectrum of topics--from the synthesis of nanoparticles, to nanoparticle growth and transport, to characterization methods for nanoparticles, to novel nanoparticle-based materials and devices.

PHSL 5061 - Principles of Physiology for Biomedical Engineering
MWThF 1010-1100
David Levitt , Vincent Barnett , Paul Iaizzo , Stephen Katz , Antoine Makhlouf
(4.0 cr; Prereq-Biomedical engineering grad, one yr college chem and physics and math through integral calculus)
Human physiology with emphasis on quantitative aspects. Organ systems (circulation, respiration, renal, gastrointestinal, endocrine, muscle, central and peripheral nervous systems), cellular transport processes, and scaling in biology.

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