Undergraduate Curriculum Issues: Innovation, Integration, Expansion

1
Undergraduate Curriculum IssuesInnovation,
Integration, Expansion

• Ed Schlesinger
• Carnegie Mellon University
• Panel Moderator

2
Objectives

• How do we continue the tradition of evolving and
  expanding Electrical and Computer Engineering to
  embrace new technologies and new areas of inquiry
  into what is part of "ECE?

3
The Panelists

• Marija Ilic (Carnegie Mellon University) - Energy
  Systems
• Professor of Electrical and Computer
  Engineering and Engineering and Public Policy.
  Heads the Electrical Energy Systems Group which
  is pursuing the creation of curriculum, research
  programs, a software laboratory, and an outreach
  program for modern electric energy systems. IEEE
  Distinguished Lecturer and co-author of several
  books in electrical power systems.
• Vik Kapoor (University of Central Florida)
  Integrated Bio-Nano Courtesy Professor School
  of Electrical Engineering Computer Science
  University of Central Florida. Past President,
  Dean Emeritus, College of Engineering, University
  of Toledo. 1999 IEEE Third Millennium Medal.
  Director of Biomedical Nanotechnology Research
  Laboratory from June 2000 until June 2008
• Arye Nehorai (Washington University) - Biomedical
  Engineering Chairman of the Department of
  Electrical and Systems Engineering at Washington
  University in St. Louis.  Eugene and Martha
  Lohman Professor and Director of the Center for
  Sensor Signal and Information Processing. IEEE
  Distinguished Lecturer and founding editor of the
  special columns on Leadership Reflections in the
  IEEE Signal Processing Magazine.

4
Questions to Consider

• What courses did you or should you
  add/change/package in your curriculum to expand
  ECE?
• Why does it "make sense" for these areas to be
  included within ECE? Are there other disciplines
  (MechE, ChemE, etc.) moving into these areas with
  their own "flavor"?
• How would these courses integrate with the basic
  or "traditional" ECE disciplines?
• What laboratories, hands-on or other experiences,
  if any, did you add or should be added to the
  curriculum? Are there issues of cost with these
  laboratories or hands-on experiences?
• How does one "market" these new areas to ECE
  students? How does one explain to students why
  they should pursue these new areas?
• How do these areas feed into graduate studies,
  research and employment opportunities in general?
  

5
Integration, Innovation and Expansion in
Undergraduate Education Energy Systems

• Marija Ilic
• milic_at_ece.cmu.edu
• March 21,2009
• 2009 ECEDHA Annual Meeting, New Orleans LA

6
Outline

• The state of current electric energy systems
  programs
• Understanding the rationale for an education
  program requires understanding the challenges
  facing the electric energy industry
• New educational objectives
• Modern university electric energy systems
  curriculum at Carnegie Mellon

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State of electric energy systems programs

• Must educate the next generation work force
• Must do so in the context of, and centered in,
  Electrical and Computer Engineering (ECE)
• Must integrate ECE with other academic
  disciplines
• Must also address non-technical issues (policy,
  economics)
• Recent awareness of an educational void, and a
  sense of urgency to innovate and integrate
  electric energy systems education, into
  existing curricula

8
State of electric energy industry

• Old infrastructure
• New challenges brought about by industry
  restructuring
• The newest challenge -- pressure to provide
  sustainable energy
• New challenges brought about by complexity from
  the highest level system to the smallest level
  component

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Todays Hierarchical SystemsOld Infrastructure
Complex large electric networks, operated in
stationary ways no near-real time automated
monitoring and decision making
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Often overstressed and prone to failures, yet
sustained under-utilization

• Lots of equipment must be re-built (must
  understand engineering and policy
• to decide what is the right way to put it
  together)
• Need IT, and faster control and numerical
  algorithms to enable timely decisions.

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Functional Unbundling of Regulated Utilities
(Deregulation) New challenges brought about by
industry restructuring (need to operate real-time
markets by means of IT must know economics,
policy, finance) not working well nowthe
markets never were designed properly
Power
Power
Transmission
System
Supplier
User
Physical Environment
Operating
Market Environment
Authority
Power
Power
Market
Purchaser
Seller
Tools
OASIS
OASIS Open Access Same-time Information System
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GOING GREEN
New challenges brought about by intermittency and
distributed resources
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ALGORITHMS NEEDED FOR COPING WITH HARD-TO-PREDICT
SCENARIOS NEED FOR IT-ENABLED FLEXIBLE
UTILIZATION ESSENTIAL FOR RELIABLE, EFFICIENT,
SECURE AND SUSTAINABLE SERVICES
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THE KEY ROLE OF INFORMATION TECHNOLOGY
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The burden on new leaders

• Rethink how to plan, rebuild and operate an
  infrastructure which has been turned upside-down
  from what it used to be
• Leaders must understand
• 3? physics (the basic foundations)
• Modeling of complex systems (architecture-depende
  nt models, components and their interactions,
  performance objectives)
• Dependence of models on sensors and actuators
  design for desired system performance (defined by
  economic policy and engineering specifications)
• Numerical methods and algorithms
• IT

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IT Layer
Sub-Network 1
Sub-Network 2
Cutset
Physical interconnections within a sub-network
Physical interconnections between sub-networks
Network nodes
IT connections between sub-networks and IT layer
Sensor locations
IT connections between sensors and internal nodes
17
Major Modeling and Decision Making
ChallengeSingle optimization subject to
constraints (old) vs. Reconciling
multi-dimensional tradeoffs (new)
18
Distributed future energy systems
Qualitatively NEW NETWORK SYSTEM ARCHITECTURES
-distributed sensors and actuators, with their IT
network new models for planning and
operations.
19
Multi-layered interactive (dynamically
aggregated) systemNeed for IT-enabled regrouping
to reconcile tradeoffs
20
Typical system input (load, wind, solar) Need
for prediction, look ahead decision making,
sensing OTHERWISE BLACKOUTS AND INEFFICIENCY
INTERMITTENCY - TODAYS SOFTWARE TOOLS ARE
USELESS
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Objectives for modern electric energy systems
programs

• Not only a novel education, but
  multi-disciplinary coverage across ECE and
  beyond
• Provide conceptual problem formulation
  (understand how models, sensing, control and
  communication are different for sample systems
  1) old centralized infrastructure (2)
  deregulated industry and, (3) industry with lots
  of distributed sensors, controllers, intermittent
  generation, demand-side.)
• Introduce novel simulators/graphics/visualization
  to teach these concepts.

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Modern Electric Energy Systems at Carnegie
Mellon

• Lots of fun the number of graduate students is
  high and growing the number of students taking
  classes is high and growing. Grass-root pressure
  from students.
• Students genuinely interested in careers in
  future energy systems (drawn to the area to serve
  mankind while still doing engineering)
• Emphasis on systems formulation (instead of on
  component physics) smart grid as an enabler.
• Much novel modeling for translating a
  physical and business system and its objectives
  into the language of systems, control, sensors,
  signal processing, computer science and IT
  power electronics-enabled control.
• Team-teaching with business and public policy
  faculty.

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Electric Energy Systems Group (EESG)
http//www.eesg.ece.cmu.edu

• A multi-disciplinary group of researchers from
  across Carnegie Mellon with common interest in
  electric energy.
• Truly integrated education and research
• Interests range across technical, policy,
  sensing, communications, computing and much more
  emphasis on systems aspects of the changing
  industry, model-based simulations and decision
  making/control for predictable performance.

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A sample of subjects currently offered in ECE

• 18-418 Electric Energy Processing Fundamentals
  and Applications
• 18-875/19-633/45-855/45-856 Engineering and
  Economics Problems in Future Electric Energy
  Systems
• 18-618 Smart Grids and Future Electric Energy
  Systems
• 18-777 Large-scale Dynamic Systems
• Courses taught with an eye on regulatory,
  technological changes, and the implications of
  these on problem posing and possible solutions.
• Courses emphasize commonalities across different
  electric energy systems (power systems-power
  distribution to homes shipboards, aircrafts and
  cars.
• In house software development to support the
  curriculum (Graphical) Interactive Power
  Systems Simulator ((G)IPSYS).
• Many courses outside ECE

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Summary of active research areas

• Next generation SCADA (Dynamic Monitoring and
  Decision Systems--DYMONDS) as the means for
  implementing our vision for energy and
  environment the enabling role of systems
  thinking
• Integration of storage in future electric energy
  systems (modeling, decision making, IT)
• Integrating distributed energy resources (DGs and
  demand-side management )
• Managing intermittent energy resources wind and
  solar generation
• IN WHAT FOLLOWS SAMPLE ON-GOING RESEARCH
  (WIND and solar POWER INTEGRATION, ADAPTIVE LOAD
  MANAGEMENT, AND OPTIMAL VEHICLE-TO-GRID
  INTEGRATION

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Smart Grid IT Power Grid?
Image Source http//earth2tech.files.wordpress.co
m/2008/04/silver-demo.jpg
27
Wind prediction, look-ahead management using
storage (Xie,2009)
Compare the outcome of ED from both the
centralized and distributed MPC approaches.
28
BOTH EFFICIENCY AND RELIABILITY MET
29
Adaptive Load Management (Joo, 2009)
29
30
Optimal Control of Plug-in-Electric Vehicles
Fast vs. Smart (Roterring)
30
31
Information flowFantastic Use of Multi-layered
Dynamic Programming
31
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Closing remarks

• There exists now a highly unusual window of
  opportunity to introduce modern electric energy
  research and education programs
• Obvious societal needs
• We will waste this opportunity without a full
  understanding of the
• -potential of embedded IT-enabled intelligence
  in the new resources
• -role of multi-layered multi-directional
  coordination within the complex novel network
  architectures
• It is essential to pose the design and
  operation of new electric energy systems as the
  problem of multiple performance-driven
  cyber-physical systems over various contextual,
  temporal and spatial phenomena

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Noha Abdel-Karim Prof. Greg Ganger Prof.
Marija Ilic Jhi-Young Joo
Soummy Kar Prof. Bruce Krogh
Ryan Kurlinski
Prof. Lester Lave Juhua Liu
Prof. Jose Moura Masoud Nazari Luca Parolini
Marija Prica Niklas Rotering
Prof. Bruno Sinopoli
Nermeen Talaat Anupam Thatte Prof. Ozan
Tonguz Usman Khan Charlie Wesley
Richard Wu Le Xie
Yi Zhang
NOT PICTURED Marcelo Elizondo, Jovan Ilic,
Michael Kowalski, Nipun Popli, Professor Gabriela
Hug-Gantzman
34
Biomedical-Nanotechnology CourseBME 5572Vik
J. KapoorWeb www.nanovk.comEmail
Vkapoor_at_mail.ucf.edu
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Biomedical-Nanotechnology CourseBME 5572

• Elective and dual new course to expand ECE
  curriculum for Seniors Graduate Students.
• Course integrate Life Sciences with
  Nanotechnology.
• Life Sciences Neuroscience
• Nanotechnology Nanoelectronics
• Applications of Nanoelectronics to Human Body.
• Prerequisite Microelectronics/Solid State
  Devices
• Electronics/Signal and Systems

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What is a nano?
37
Biomedical-Nanotechnology CourseBME 5572

• Part 1
• Human Brain An Electric Signal
  System
• Seamless Integration of Man and Machine through
  Neuro-bio chips implanted directly into brain
  (Vision, Hearing, Alzheimer, Depression,
  Internet, etc.) Machine is made up of Electronic
  parts.
• Part 2
• Nanorobots and Self Assembly
• Nanomedicine Robots to travel inside body for
  cell/cancer repair and deliver medicine.

38
Brain Signal Pathways
39
Neurons and Neurotransmitters

• Neurotransmitters are the chemical messengers in
  the brain

40
Steps of an Action Potential
Na
K
K
41
Action Potential
42
Circuit Model With Na-K Pump and Capacitance
Pump is modeled as two current source
43
Using Thévenin Equivalent, The Circuit is Reduced
to
Compute the change in Vm due to a current pulse
through the cell membrane.
44
Change in Vm Due to Current Passing Through It
Current pulse 6ms duration
Example
2 1ms
Current pulse 2ms duration
45
Biomedical-Nanotechnology CourseBME 5572

• COURSE SYLLABUS
• Goal This course deals with the nanotechnology
  of solid-state electronics and integration of
  Nanoelectronic with Neuroscience.
• Part I Nanotechnology Processes
• Nanofabrication of Nanoelectronic devices
  resulting in biochips.
• Part II Biomedical Processes
• Chemical composition of body, central nervous
  system equivalent electronic circuit model for
  brain.
• Part III Integration of Life Sciences with
  Nanoelectronics
• Bioelectronics for the brain for Alzheimer,
  Depression, sensor systems cyber sense (eye
  ear). Neuron neural network.
• Part IV Self Assembly/Nanorobots
• Nanoelectronics self assembly, moral and
  ethical issues.

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Bio-Chip
SiGe Transistor With Microchannels
Nanoelectrodes
47
Neurotransistor
Sylgard
Electrode
Neuron
Vgs
Gate
N
N
Source
Drain
Vds
lt100gt p-Si 1-10 ohm-cm
48
Current Voltage Curves For Leech Neurons
Vgs 3 V
Vgs 2 V
Vgs 1 V
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Biomedical-Nanotechnology CourseBME 5572

• TOPICS COVERED I
• The Scale of Things - Nanometers and More
• Nanotechnology Fabrication Processes
• Nanoprocessing for Biochip
• Photolithography
• Etching or Micromachining
• Metal-Oxide-Semiconductor Field Effect
  Transistors and Devices
• Nanoelectronics Self Assembly
• Imaging Techniques with Implications for
  Nanotechnology

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Biomedical-Nanotechnology CourseBME 5572

• TOPICS COVERED II
• Chemical Composition of the Body I, Human
  Physiology
• Cell Structure
• Central Nervous System / Brain
• Bio-electronics for the Brain
• Biomedical Nanotechnology for Sensory Systems
• Brain (Pain, Stress, Mood Alzheimer)
• Nanomedicine and Nanorobots
• DNA Genetic Engineering
• Bio-ethics for Nanotechnology

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Building the Bionic Brain

http//www.usc.edu/dept/pubrel/trojan_family/winte
r02/bionic_brain.html
52
Neuron grown on a CMOS chip with 128x128
transistors
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Implantable Devices Artificial
__ Vision Systems
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Hippocampus Replacement

• Heres how it works on rat brain tissue
• Electrodes intercept electrical signals bound for
  damaged tissue in the hippocampus
• The signals reroute to the chip

http//www.newscientist.com/article.ns?iddn3488
55
Implantable Devices Cochlear Implants
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Future Outlook Nanorobots

• Research is already in progress

Source http//www.mtmi.vu.lt/pfk/funkc_dariniai/n
anostructures/nano_robots.htm
57
Nanorobots

• Key factor in Nanomedicine!
• Drug delivery to specific molecules in the body
• Mobilized nanorobots to travel to specified cells
  (cancer)
• DNA repair

http//www.foresight.org/Nanomedicine/Gallery/Imag
es/Stinger2.jpg
58
NANOROBOT

• There is already a prototype developed for a cell
  repairer, where a nano-robot is able to perform a
  complicated surgery, or carry an implant to a
  part in the brain.

www.nanotech-now.com
59
Biomedical-Nanotechnology CourseBME 5572
COURSE OUTCOME

• 25 Enrollment limit to enhance class interaction
  and discussions.
• Survey of 82 students for last 3 years (06-09)
• Seniors 70
• Graduate Student 30
• Admitted to Medical School 12
• Admitted to Graduate School 18
• (Bio Nano areas)
• Received job offers from Biomedical or 22
• Nanotechnology Companies

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Thank you! Any questions?
61
Department of Electrical Systems Engineering
Biomedical Opportunities in the Undergraduate EE
Curriculum
Arye Nehorai Chair, Department of Electrical
Systems Engineering The Eugene and Martha Lohman
Professor of Electrical Engineering www.ese.wustl
.edu
62
Outline
Department of Electrical Systems Engineering

• BSEE Pre-med Curriculum
• Imaging Sciences Pathway Program
• Example ESE 489/589 Biological Imaging
  Technology
• Biomedical Undergraduate Research
• Bioimaging Study Abroad Program

63
BSEE Pre-med Curriculum
Department of Electrical Systems Engineering
64
Department of Electrical Systems Engineering
Pre-med Requirements

• Two semesters of
• Biology with lab
• Physics with lab
• General Chemistry with lab
• Organic Chemistry with lab
• Math to include differential equations
• Each medical school has its own required and
  suggested courses listed in
• the Medical School Admission Requirements,
  published by the
• Association of American Medical Colleges (AAMC)

65
Department of Electrical Systems Engineering
BSEE Curriculum
Students must complete a selection of courses
for which the accumulated engineering topics is
45 units. Also certain restrictions apply about
the total number of credits of ESE 400
(independent study) and ESE 497 (undergraduate
research.)
66
Department of Electrical Systems Engineering
BSEE Curriculum
67
Department of Electrical Systems Engineering
BSEE Pre-med
68
Department of Electrical Systems Engineering
BSEE Pre-med
69
Imaging Sciences Pathway Program
Department of Electrical Systems Engineering
70
Department of Electrical Systems Engineering
Motivation

• Imaging sciences are multi-disciplinary,
  requiring knowledge of biology, chemistry,
  physics, engineering, and applied mathematics
• Washington University has many imaging resources
  and experts. It is nationally ranked in the top
  three of NIH funding for imaging sciences
  research
• Imaging Sciences Pathway emphasizes biomaging for
  undergraduate students in engineering, the
  physical and life sciences

71
Department of Electrical Systems Engineering
Imaging Sciences Pathway Goals

• Educate renaissance scientists whose knowledge
  of the physical sciences, engineering, chemistry,
  and biology will allow them to explore new
  frontiers within the various and ever-expanding
  research domains of imaging sciences
• Provide undergraduate students with extraordinary
  opportunities to carry out research with more
  than 60 leading investigators in the imaging
  sciences from more than 15 clinical and science
  departments
• Provide undergraduate students in the physical
  and life sciences and engineering first-hand
  experience in this exciting area of biomedicine

72
Department of Electrical Systems Engineering
Imaging Sciences Pathway Program

• Consists of two parts
• An introductory freshman/sophomore seminar
  introduces prospective Pathway students to the
  diverse imaging sciences research under way in
  Arts Sciences, the School of Engineering
  Applied Science, and the School of Medicine.
• Courses for juniors and seniors focus on
  chemistry, physics, computer science,
  engineering, and molecular cell biology as they
  relate to imaging sciences.

73
Department of Electrical Systems Engineering
Imaging Sciences Pathway Curriculum

• Core courses
• 1) Seminar in Imaging Sciences (BIO 1810)
• 2) Introduction to Cell Biology (BIO 334)
• Principles of Biology I (BIO 2960)
• DNA Science A Hands-On Workshop (BIO 280)
• Biochemistry (BIO 4501/CHEM 456)
• 3) Principles Applications of Biological
  Imaging (BIO 5146)
• 4) Contrast Agents for Biological Imaging
  (BIO/CHEM 5147)
• Biological Imaging Technology (ESE 489/589/BME
  494)
• Students completing the ISP requirements receive
  a Milestone on their transcripts

74
Department of Electrical Systems Engineering
ISP Undergraduate Research

• Students choose two faculty mentors from
  different disciplines (e.g., engineering and
  biology), with one being the primary mentor
• Junior and senior Pathway students participate in
  an interdisciplinary imaging research project in
  the lab of the primary and/or secondary mentor
• Students can receive credit for independent
  research
• Students also participate in summer research
  internships between their junior and senior
  years stipends are available through NIH R90
  funds

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Facilities
Department of Electrical Systems Engineering

• The Pathway makes extensive use of the
  Universitys vast imaging resources, which cover
  the full spectrum from molecular microscopy to
  full body human imaging.

• Mallinckrodt Neuroimaging Laboratories
• WU Small Animal Imaging Resource
• Cardiovascular Imaging Laboratory
• Molecular Imaging Center
• Center for Clinical Imaging Research
• Electronic Systems Signals Research
• Laboratory
• High-Resolution NMR Facility
• High Throughput Screening Robotics Core
• Deep-Etch Electron Microscopy Facility

76
Department of Electrical Systems Engineering
BSEE Curriculum
77
Department of Electrical Systems Engineering
BSEE Imaging Sciences Program (Cont.)

• Students participate in imaging research
  projects and can receive credits under ESE 497
  Undergraduate Research.

• 16 total units required for ISP with
  pre-requisites.
• 20 available units in traditional curriculum
  consisting of free and breadth electives.

78
Department of Electrical Systems Engineering
BSEE Imaging Sciences Program
79
Example ESE 489/589 Biological Imaging Technology
Department of Electrical Systems Engineering
80
Department of Electrical Systems Engineering
ESE 489/589 Biological Imaging Technology

• Course coordinators and modality experts
• J. A. OSullivan, ESE
• J. P. Culver, Radiology
• Y.-C. Tai, Radiology
• J. Shimony, Radiology
• Experts in EE, physics, biomedical physics,
  radiology.
• Textbook-based
• J. L. Prince and J. M. Links,
• Medical Imaging Signals
• and Systems, Prentice-Hall, 2006
• Four lectures per modality
• Physics, mathematics, imaging
• Lab tours and original literature critique

Avanto 1.5 T MRI Scanner
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81
Department of Electrical Systems Engineering
Biological Imaging Technology
Biological
Tissue (e.g. Intrinsic optical imaging of cat
visual cortex)
Cells (e.g. fluorescence microscopy)
Organ (e.g. CT, MRI, US)
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Lab Tours
Department of Electrical Systems Engineering

• State-of-the art CT and PET-CT imaging facilities
  
• Siemens equipment

Biograph 64/40 PET-CT scanner
CT (anatomical image)
SOMATOM Definition CT Scanner
PET (functional image)
Fused PET-CT
Data (PETCT-165) from R. Laforest and M. Mintun,
Radiology
83
Literature Critique
Department of Electrical Systems Engineering

• Contrasting state-of-the-art facilities with
  foundational papers
• Siemens equipment

W. C. Roentgen, Nature, 1896
SOMATOM Definition CT Scanner
84
Department of Electrical Systems Engineering
Literature Critique (Cont.)

• Contrasting state-of-the-art facilities with
  foundational papers
• Siemens equipment

First PET machine, designed and built at
Washington University in St. Louis E. Hoffman,
M. Phelps, N. A. Mullani, C. S. Higgins, and M.
M.Ter- Pogossian, Instrumentations and Physics,
1976
Biograph 64/40 PET-CT scanner
85
Biomedical Undergraduate Research
Department of Electrical Systems Engineering
86
Department of Electrical Systems Engineering
Development of a High-Frequency Ultrasonic
Imaging Platform Amanda Virkus with R. Martin
Arthur
Student contribution Upgrade a 7.5 MHz
pulse-echo system to work at 35 MHz
Project Ultrasound thermometry
Pulse-echo waveform and spectrum from a 35MHz
transducer
Configuration for automatic thermal image
measurement from tissue samples during
Hyperthermia
A 35-MHz ultrasound image of pig muscle
87
Department of Electrical Systems Engineering
Deformable Template Hearts for Electrocardiography
John Bogovic with R. Martin Arthur
Project Individualize heart models using a
deformable model. Goal compare normal with
pathological electrical patterns on the same heart
Student contribution Test suitability of
candidate template hearts and quantify alignment
errors
Visible Human heart model. Spherical harmonic
approximation in red
Comparison of two deformed templates aligned at
the apex of the heart
88
Bioimaging Study Abroad Program
Department of Electrical Systems Engineering
89
Department of Electrical Systems Engineering
Introduction to Multimodal Imaging

• Host University of Tübingen MEG-Center, and the
  Max Planck Institute for Biological Cybernetics,
  Germany
• Undergraduate students from Electrical Systems
  Engineering at Washington University will learn
  about medical imaging methods

90
Department of Electrical Systems Engineering
Program

• May 11, 2009 May 15, 2009
• One unit of credit, with the option to continue
  working on an independent study or undergraduate
  research course for a total of three units of
  credit
• Lectures, projects, lab visits, and social
  programs
• Final report

91
Department of Electrical Systems Engineering
Lectures

• The physics of SQUID sensors
• Fetal magnetoencephalography (fMEG)
• MEG for basic research and clinical application
• Application of MEG to brain machine interfaces
  (BCI)
• Metabolic imaging with functional MRI (fMRI) and
  near infrared spectroscopy (NIRS)
• BCI in fMRI
• Transcranial magnetic stimulation (TMS) as a
  research tool

92
Department of Electrical Systems Engineering
Research Projects

• Project 1 Fetal magnetoencephalography (fMEG)
  and magnetocardiography (MCG)
• Project 2 Brain computer interface (BCI)
  application of MEG
• Project 3 Visual processing of food related
  pictures with functional MRI (fMRI)
• Project 4 Transcranial magnetic stimulation
  (TMS)
• Lab visits
• Max-Planck Institute for biological Cybernetics
• Laboratory for Preclinical Imaging and Imaging
  Technology of the Werner Siemens-Foundation,
  University Hospital Tübingen

93
Summary
Department of Electrical Systems Engineering
94
Biomedical Opportunities in Undergraduate EE
Department of Electrical Systems Engineering

• BSEE pre-med curriculum
• Imaging sciences pathway program
• Biomedical undergraduate research
• Bioimaging study abroad program
• Double major BSEE/BME
• BSEE/SSE curricula focused on bioelectricity,
  systems biology, bioinformatics, etc.

95
Thanks!
Department of Electrical Systems Engineering
96
Questions to Consider

• What courses did you or should you
  add/change/package in your curriculum to expand
  ECE?
• Why does it "make sense" for these areas to be
  included within ECE? Are there other disciplines
  (MechE, ChemE, etc.) moving into these areas with
  their own "flavor"?
• How would these courses integrate with the basic
  or "traditional" ECE disciplines?
• What laboratories, hands-on or other experiences,
  if any, did you add or should be added to the
  curriculum? Are there issues of cost with these
  laboratories or hands-on experiences?
• How does one "market" these new areas to ECE
  students? How does one explain to students why
  they should pursue these new areas?
• How do these areas feed into graduate studies,
  research and employment opportunities in general?