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Agenda (Ann)

● Welcome - Professor Geir Dullerud - ECE Department Head

● Building & Facilities and Living in the Twin Cities - Kyle Dukart – Chief of Staff�● Graduate Program Overview- Professor Murti Salapaka– Director of Graduate Studies

● Admissions process overview - Ann Rausch – Graduate Program Coordinator�

● Comments from Faculty and Questions for faculty and current graduate students� �● Faculty�Professor Sachin Sapatnekar��● Current Graduate Students�Sourav Kumar Ghosh

Subhadip Ghosh

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Department Overview (Geir)

ECE Student Profile

299 graduate students (142 MS, 157 PhD)
current ECE graduate students come from 22 different countries!

ECE Faculty Profile

43 tenure/tenure track faculty
18 IEEE Fellows, 2 NAE member
3 National Academy of Inventors Fellows
2 APS Fellows, 3 Optica Fellows
1 MRS Fellow, 2 ACM Fellows

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Building and Facilities (Kyle)

ECE is located in Keller Hall on East Bank of U of MN campus

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The Minnesota Nano Center

Medical Devices Center

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Anderson Labs Makerspace

VLSI Lab

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Teaching Labs and Research Spaces

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Living in the Twin Cities

Most Fortune 500 Companies per capita in the US �
Minnesota has over 10,000 lakes�
The Gopher Way is a series of underground hallways and tunnels, as well as a few skyways, that connect a large percentage of campus (including Keller Hall)�
The Twin Cities has an extensive mass transit system, which runs through our campus

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MS Course Requirements (Murti)

MSECE Plan C Coursework

18 EE Major Field credits
6 Minor/Related Field credits
6 Additional credits

MSECE Plan A Thesis

10 Thesis Credits
14 Major Field credits
6 Minor/Related Field credits

Students interested in MS to PhD transition

Certainly possible if you find that you like research!
Need to find an advisor, pass the PhD written prelim exam

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PhD Course Requirements

EE Major Field Coursework Requirement = 14 credits
Other or Minor Coursework Requirement (non-EE) = 12 credits
Additional Credits (EE or non-EE) = 14 credits
PhD Thesis Credits (EE 8888) = 24 credits
Total of 64 credits

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Semiconductors

EE 5163: Semiconductor Properties and Devices I

EE 5164: Semiconductor Properties and Devices II

EE 8100: Advanced Topics in Electronics

EE 8161: Physics of Semiconductors

EE 8163: Quantum Electronics

Micro and Nanotechnology

EE 5141: Introduction to Microsystem Technology

EE 5171: Microelectronic Fabrication

EE 5173: Basic Microelectronics Laboratory

Magnetics and Spintronics

EE 5653: Physical Principles of Magnetic Materials

EE 5655: Magnetic Recording

EE 5657: Physical Principles of Thin Film Technology

EE 5670: Spintronic Devices

EE 8620: Advanced Topics in Magnetics

EE 8660: Advanced Topics in Magnetics (Seminars)

MICRO AND NANOSTRUCTURES

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VLSI

Digital design

EE 5323: VLSI Design I

EE 5324: VLSI Design II

EE 5327: VLSI Design Laboratory

EE 5329: VLSI Digital Signal Processing Systems

EE 8350: Advanced Verification Methodologies for VLSI Systems

Electronic design automation

EE 5301: VLSI Design Automation I

EE 5302: VLSI Design Automation II

EE 8351: Design Automation Techniques for Variation-Aware Computing

Analog design

EE 5333: Analog Integrated Circuit Design

EE 8331: CMOS Data Converters: A/D and D/A

EE 8337: Analog Circuits for Wired/Wireless Communications

Computer architecture

EE 4364: Computer Organization and Design

EE 5351: Applied Parallel Programming

EE 5355: Algorithmic Techniques for Scalable Many-core Computing

EE 5364: Advanced Computer Architecture

Emerging computing paradigms

EE 5340: Introduction to Quantum Computing and Physical Basics of Computing

EE 5393: Circuits, Computation, and Biology

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RF/MICROWAVE, OPTICS and PHOTONICS

RF/Microwave and Plasma

EE 5601: Introduction to RF/Microwave Engineering

EE 5602: RF/Microwave Circuit Design

EE 5607: Wireless Hardware System Design

EE 5611: Plasma-Aided Manufacturing

EE 5613: RF/Microwave Circuit Design Laboratory

EE 5616: Antenna Theory and Design

EE 8337: Analog Circuits for Wired/Wireless Communications

EE 8601: Advanced Electromagnetic Theory

EE 8611: Plasma Physics

EE 8630: Advanced Topics in Electromagnetics

EE 8950: Microwave Circuits and Systems for Sensing and Communication

Optics and Photonics

EE 5621: Physical Optics

EE 5622: Physical Optics Laboratory

EE 5624: Optical Electronics

EE 5627: Optical Fiber Communication

EE 5628: Fiber Optics Laboratory

EE 5629: Optical System Design

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COMMUNICATIONS AND SIGNAL PROCESSING

Communication Theory and Coding

EE 5501: Digital Communication

EE 5505: Wireless Communication

EE 5581: Information Theory and Coding

EE 5583: Error Control Coding

EE 5585: Data Compression

EE 8510: Advanced Topics in Communications

Signal Processing and Estimation Techniques

EE 4541: Digital Signal Processing

EE 5251: Optimal Filtering and Estimation

EE 5531: Probability and Stochastic Processes

EE 5549: Digital Signal Processing Structures for VLSI

EE 5545: Digital Signal Processing Design

EE 8520: Advanced Topics in Signal Processing

Machine Learning and Optimization Techniques

EE 5239: Introduction to Nonlinear Optimization

EE 5389: Learning from Data, Algorithms and Applications

EE 5542: Incremental Learning

EE 5551: Statistical Learning and Inference

EE 5561: Image Processing and Applications

EE 8231: Optimization Theory

EE 8551: Multirate Signal Processing and Applications

Transmission Techniques

EE 5624: Optical Electronics

EE 5627: Optical Fiber Communication

EE 5649: Infrared Devices and Technology

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CONTROLS AND SYSTEMS

EE 4231: Linear Control Systems: Designed by Input/Output Methods

EE 4233: State Space Control System Design

EE 4235: Classical Control Systems Lab

EE 4237: Modern Control Lab

EE 4541: Digital Signal Processing

EE4341: Embedded System Design

EE 5531: Probability and Stochastic Processes

EE 5231: Linear Systems and Optimal Control

EE 5235: Robust Control System Design

EE 5251: Optimal Filtering and Estimation

EE 5940: Optimal Control and Reinforcement Learning

EE 5239: Introduction to Nonlinear Optimization

EE 5271: Robot Vision

EE 8215: Nonlinear Systems

EE 8231: Optimization Theory

AEM 8423: Semidefinite-Programming and Control

AEM 8451: System Identification: Theory and Applications

AEM 8415 : Formal Methods for Dynamical Systems

AEM 8453 : Model Reduction and Approximation of Dynamical Systems

AEM 8495: Selected Topics in Dynamical Systems and Controls

EE 8744: Modeling, Analysis, and Control of Renewable Energy Systems

EE 8950: Special Topics (Introduction to Controls and Signals for Robotics, Network Distributed Systems, Noise in Physical and Biological Systems, Vector Space Optimization)

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RENEWABLE ENERGY AND POWER

Power Systems

EE 8744: Modeling, Analysis, and Control of Renewable Energy Systems

Power Electronics

EE 4741/4743: Power Electronics/Switched-mode Power Electronics Lab

EE 5741: Advanced Power Electronics

EE 8741: Power Electronics in Power Systems (Lab)

Electric Machines and Drives

EE 4701: Electric Drives (Lab: 4703)

EE 5705: Electric Drives in Sustainable Energy Systems Lab (Lab 5707)

Controls

EE 4231: Classical Control design

EE 5231: Linear Systems

EE 5235: Robust Control System Design

EE 8215: Nonlinear Systems

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Employability and Internships

Internships and post graduation jobs held by recent students

Open Systems International Inc�Phillips Medisize�Qualcomm�Rohde & Schwarz�Samsung�Seagate Technologies�Skyworks Solutions�SpaceX�Square Inc�Synopsys Inc�T-mobile�TDK Headway Technologies�Tesla

Texas Instruments�TSMC

3M�AMD�Apple�ARM�Ativa Medical�Bosche�Boston Scientific

Broadcom�Cadence Design Systems�Cirrus Logic

Coffman Engineers

Cryosa

Cummins Inc.�Electric Machinery�Global Foundries

Google

GE�HDR Inc�Honeywell

Hypertherm�IBM�Innovative Design Labs�Intel�KEB America�KFI Engineers

KLA�Kitware�Mathworks Inc.�Medtronic�Meta

Microsoft�NASA Johnson Space Center�Nvidia�OATI��

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Representative ECE PhD & MS Alumni Info

Employment Locations�Minneapolis, St. Paul & surrounding areas

Honolulu, Hawaii

Silicon Valley, CA�Washington DC

Austin, TX�Longmont, CO�Hillsboro, OR�Boston, MA�San Diego, CA

Yorktown Heights, NY

Faculty Positions

School of Electrical, Computer, and Energy Engineering – Arizona State University

Department of Electrical and Computer Engineering – Boise State University

Department of Electrical and Computer Engineering – University of Wisconsin-Madison�Department of Electrical and Computer Engineering - IIT Madras, India

Department of Electrical Engineering-IISc, Bengaluru�Department of Electrical and Computer Engineering – University of South Carolina, Beaufort

Department of Electrical and Computer Engineering –University of California, Santa Barbara

Department of Electrical and Computer Engineering –Boston University

Department of Electrical and Computer Engineering-University of Illinois Urbana Champaign

Department of Electrical and Computer Engineering-Ohio State University

�

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Representative Notables

Schmitt Trigger (Otto Schmitt)

Aldert van der Ziel (Flicker noise)

Battery Powered Cardiac Pacemaker (Earl Bakken)

Cray Supercomputer (Seymour Cray)

Mos op-amp and Digital Telephony (Yannis Tsividis)

Niron Magnetics (Jian-Ping Wang)

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Top takeaways about ECE at the U of MN

UMN ECE is a top quality program

Wide selection of classes
Access to a range of experts in the discipline driving cutting-edge research
Excellent connections to industry
Employment opportunities ��

“Around 10 of the 15 members in the team I interviewed (at Intel) are from UMN. They hire us because of the rigorous training undertaken in the VLSI courses.”

-Former MSECE student

“Because of the course syllabus and its homework, I got shortlisted in the resume round for almost all companies I had applied to (Apple, NVIDIA, Intel, Qualcomm, AMD) and got multiple interviews from each one of them and in all the interviews, they were interested to know about my academic projects related to VLSI Design I course”

-Former MSECE student

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Financial Aid and Admissions Policy

RA and TA positions are prioritized for PhD students
Match the interests of the PhD student to the faculty prior to admittance
PhD Exams

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Application deadlines (Ann)

MSECE (Fall admission)

Online and/or In-Person. For online program, you must be located in the U.S.
Applications will be reviewed between January 1 and March 1. Priority for admission is given to students who complete the application by the deadline of January 1. Applications received after January 1 will be reviewed on a rolling basis. �

MSECE (Spring admission)

Online and/or In-Person. For online program, you must be located in the U.S.
Deadline for spring admission is October 1 and review will be done by November 1.

PhD (Fall admission)

Our priority deadline is December 1. We accept applications through March 1.
The priority deadline of December 1 means applications submitted by then will be considered for additional fellowships (nominations need to be determined by our department in early December). Applications submitted after December 1 will be considered for full funding. No additional materials need to be submitted for funding consideration.

PhD (Spring admission)

Deadline for spring admission is October 1 and review will be done by November 15.

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