• Course Schedule

Course Schedule—Spring 2006

Biomedical Engineering

BIOMEDICAL ENGINEERING
Note: Text highlighted in red indicates that a change has been made to the course listing. The red text indicates the current, updated information.

580.112 (E,N)

BME DESIGN GROUP (3) Allen     A two-semester course sequence where freshmen work with groups of BME upperclassmen mentors, and learn to use engineering principles to solve design problems that are biological, physiological, and/or medical. Freshmen are expected to use the informational content being taught in calculus, physics, and chemistry and apply this knowledge to the solution of practical problems encountered in biomedical engineering.

      Sec. 01-09

Note: Section corresponds to team number

TBA

580.202 (E,S)

BME IN THE REAL WORLD (1) Popel     Limit 100  Open only to engineering students; A series of weekly lectures to inform students about careers in biomedical engineering and to discuss technological, social, ethical, legal, and economic issues relevant to the profession. Topics include academic careers in biomedical engineering; biomedical engineering in industry (large corporations to sole entrepreneurship); health care delivery; ethical issues; legal issues (patenting, licensing, product liability); standards and government regulations; and economic issues in biomedical engineering industry (start-up companies, global businesses).

Sec. 01

T 4-5:30pm

580.212 (E,N)

BME DESIGN GROUP (3) Allen Sophomore-level version of 580.111-112. Permission of course directors required

Sec. 01-09

Note: Section corresponds to team number

TBA

580.222 (E,N)

SYSTEMS AND CONTROLS (4) (3) Miller/Vidal Limit 25 per section     Prereq: 171.102 Physics II and 110.302 Differential equations   An introduction to linear systems: analysis, stability and control. Topics include first and second order systems, linear time invariant discrete and continuous systems, convolution, Fourier series, Fourier transforms, Laplace transforms, stability of linear systems, input output and state space representation of linear systems, stability, observability, controlability, and PID controller design.

Sec. 02 canceled 02/03/06

Lec.





Sec 01

02

03

04

05

06

MW 4-5:20pm 8:30-10
2-3:30pm

F 9 8:30

F 9:30

F 11

F 12

F1

F2

580.223 (E)

MODELS AND SIMULATIONS (4) Tung/Winslow   Prereq: 550.291 or equiv.

Lec.
Sec. 01
02
03
04
05
06

TTh 4-5:30
F 9
F 10
F 11
F 12
F 1
F 2

580.302 (E,S)

CAREERS IN BIOMEDICAL ENGINEERING (1) Popel     Limit 50  Junior/Senior Engineers only  See description for 580.202.   This course is designed for upperclassmen that wish to meet with weekly speakers to discuss careers issues.

Sec. 01

T 4-5:30

580.312 (E,N)

BME DESIGN GROUP (3) Allen   A two semester course sequence where juniors and seniors work with a team leader and a group of BME freshmen and sophomores, to solve open-ended problems in biomedical engineering. Upperclassmen are expected to apply their general knowledge and experience, and their knowledge in their concentration area, to teach lower classmen and to generate the solution to practical problems encountered in biomedical engineering.

Permission of course directors required

Sec. 01-09

Note: Section corresponds to team number

TBA

580.412 (E,N)

BME DESIGN GROUP (3) Allen   Senior-level version of 580.311-312   Permission of course directors required

Sec. 01-09

Note: Section corresponds to team number

TBA

580.414 (E)

DESIGN TEAM/TEAM LEADER (4) Allen   A two-semester sequence where leaders direct a team of undergraduate biomedical engineering students in a series of design problems. Prior design team experience and permission of course directors required.

Sec. 01-09

Note: Section corresponds to team number

TBA

580.422 (E,N)

PHYSIOLOGICAL FOUNDATIONS FOR BIOMEDICAL ENGINEERING II (4) Shadmehr   Limit 24 per section  Prereq: 580.221 Molecules and Cells, 580.222 BME Signals and Systems, 110.302 Differential Equations, 580.421 Physiological Foundations I.  Coreq: 580.424 Physiological Foundations Laboratory II.   A quantitative, model-oriented approach to the study of the nervous system. Topics include functional anatomy of the central and autonomic nervous systems, neurons and networks, learning and memory, structure and function of the auditory and visual systems, motor systems, and neuro-engineering.

Lec.

Sec.01

02

03

04

05

06

MW 4-5:30

T 2-3:30

T 2-3:30

T 4-5:30

T 4-5:30

T 7-8:30pm

T 7-8:30pm

580.424

LAB IN PHYSIOLOGICAL FOUNDATIONS II (2) Haase Coreq: 580.422   Limit 38 per section  
A laboratory course in which various physiological preparations are used as examples of problems of applying technology in biological systems. The emphasis in this course is on the design of experimental measurements and on physical models of biological systems.

Sec. 01

Lab

Sec.  02

Lab

Sec.  03

Lab

Sec. 04

Lab

Th 4

Th 9-1

Th 4

Th 1-5

F 9

F 9-1

F 9

F 1-5

580.427 (E,N)

CALCIUM SIGNALS IN BIOLOGICAL SYSTEMS (3) Colecraft Calcium Signals in Biological SystemsCalcium is a universal and versatile messerger that directly regulates diverse biological processes including muscle contraction, neurotransmission, and hormonal secretion. The course develops a quantitative treatment of mechanisms generating distinct calcium signals, and the transduction of such signals into biological responses. Examples will be drawn extensively from heart cells and neurons, as well as non-excitable cells. Topics include: experimental approaches to measuring intracellular calcium dynamics, physical basis and mathematical modeling of calcium dynamics and homeostasis, mechanism of decoding calcium signals and clinical implications of calcium dyregulation. Prerequisites: 580.421-422 or equivalent. Recommended: differential equations or signals and systems. Organizational Meeting: 1/27/06 Course added 12/06/05

Sec. 01

ThF 3:30-5pm

580.448 (E,N)

BIOMECHANICS OF CELLS AND ORGANISMS (3) Spector/Sun Co-listed with 530.410 Course added 12/06/05

Sec. 01

TTh 2-3:30

580.452 (E,N)

CELL AND TISSUE ENGINEERING LAB (2) Haase   Limit 8 per section  $100 Lab Fee     This laboratory course will consist of three experiments that will provide students with valuable hands-on experience in cell and tissue engineering. Experiments include the basics of cell culture techniques, gene transfection and metabolic engineering, basics of cell-substrate interactions I, cell-substrate interactions II, and cell encapsulation and gel contraction.

Sec. 01

02

TF 1-5

TF 1-5

580.461 (E,N)

BIOLOGICAL TRANSPORT (3) Popel   Prereq: 110.302 (Differential Equations)

Sec. 01

MW 2:30-4

580.466 (E,Q)

STATISTICAL METHODS IN IMAGING (3) Jedynak  Prereq: 110.202 and 550.310 or equiv. Denoising, segmentation, texture modeling, tracking, object recognition are challenging problems in imaging. We will present a collection of statistical models and methods in order to address these, including the E.M. algorithm, Maximum Entropy Modeling, Markov Random Fields, Markov Chain Monte Carlo, Boltzmann Machines, and Multilayer Perceptrons Course added 11/28/05

Sec. 01

T 8:30-9:45,Th 9-10:15

580.470 (E,N)

BIOMEDICAL INSTRUMENTATION II: MOLECULES AND CELLS (3) Thakor   Prereq: 520.345   Senior/Grad students only, juniors with permission   This core design course will explore the fundamentals of molecular and cellular measurements, related technologies and their applications in scientific research. Course will include a guided lab.

Sec. 01

Lab

Th 4-6pm

F 2-4

580.472 (E)

MEDICAL IMAGING SYSTEMS (3) Prince    Prereq: 520.214   An introduction to the physics, instrumentation, and signal processing methods used in general radiography, X-ray computed tomography, ultrasound imaging, magnetic resonance imaging, and nuclear medicine. The primary focus is on the methods required to reconstruct images within each modality, with emphasis on the resolution, contrast, and signal-to-noise ratio of the resulting images. Cross-listed with Neuroscience and co-listed with Electrical and Computer Engineering (520.432)

Sec. 01

MTW 10

580.491

LEARNING THEORY Shadmehr Prereqs: Probability and Linear Algebra. Limit 10 This course introduces the probabilistic foundations of learning theory. We will discuss topics in regression, estimation, Kalman filters, Bayesian learning, classification, reinforcement learning, and active learning. Our focus is on iterative rather than batch methods for parameter estimation. Our aim is to use the mathematical results to model learning processes in the biological system. Course added 11/03/05

Sec. 01

TTh 4-5:30 MW 2-3:30 9:30-11

580.502

FRESHMEN/SOPHOMORE RESEARCH   Practicum in Biomedical Engineering Research projects or engineering design projects under the supervision of any member of the BME faculty.

   

580.512

FRESHMEN/SOPHOMORE INDEPENDENT STUDY Directed readings or other literature research under the direction of any member of the BME faculty.

   

580.532

JUNIOR/SENIOR RESEARCH  Research projects or engineering design projects under the supervision of any member of the BME faculty.

   

580.542

JUNIOR/SENIOR INDEPENDENT STUDY   Directed readings or other literature research under the direction of any BME faculty member.

   

580.580

SENIOR DESIGN PROJECT Perm Req'd.  Allen Independent or team design project to design and evaluate a system. The design should demonstrate creative thinking and experimental skills, and must draw upon advanced topics of biomedical and traditional engineering. Project proposal and permission of Dr. Robert Allen required and must be approved by 2/10/06

Sec. 01

TBA

580.610

COMPUTATIONAL FUNCTIONAL GENOMICS Goutsias  Limit 5

Co-listed as 520.610

Sec. 01

MW 1

580.629

TOPICS IN SYSTEMS NEUROSCIENCE Wang

Sec. 01

W 5

580.630

THEORETICAL NEUROSCIENCE Wang

Sec. 01

MW 8:30-10

580.633

CALCIUM SIGNALS IN BIOLOGICAL SYSTEMS Colecraft See 580.427 for description Course added 12/06/05

Sec. 01

ThF 3:30-5pm

580.670

BIOMEDICAL INSTRUMENTATION II  Thakor   Senior/Grad students only, juniors with permission

Sec. 01

Th 4-6pm

F 2-4

580.672

BIOSENSING AND BIOMEMS J. Wang   Co-listed as 530.672

Sec. 01

MW 11-12:30

580.691

LEARNING THEORY Shadmehr Prereqs: Probability and Linear Algebra. Limit 10 This course introduces the probabilistic foundations of learning theory. We will discuss topics in regression, estimation, Kalman filters, Bayesian learning, classification, reinforcement learning, and active learning. Our focus is on iterative rather than batch methods for parameter estimation. Our aim is to use the mathematical results to model learning processes in the biological system.

Sec. 01

TTh 4-5:30 MW 2-3:30 9:30-11

580.702

NEUROENGINEERING SEMINAR Thakor PhD students only
Neuroengineering represents the application of engineering principles to develop systems for neurological research and clinical applications. Examples of research in this are includes design of instrumentation for brain monitoring, development of signal processing methods to analyze brain rhythems, contemporary imaging methods ranging from optical/CT/MRI, use of miro and nanotechnologies to probe from neurons and brain, and development and application of neural stimulators, prosthesis, and deep brain stimulations and robotic/image guided therapeutic devices.  This two semester course will have one hour long weekly lectures and seminars by training program faculty  (from BME, EE,Radiology, Neurology and Neurosurgery).  During the second semester, the students will then engage in a short project of clinical (or scientific) significance to increase awareness of the literature, work with the faculty members and their lab and gain hands-on experience.

Sec. 01

T 3:30-4:30

580.748 5

ADVANCED TOPICS IN MRI  Osman    Prereq: 520/580.473 or Perm. Req’d

Sec. 01

W 1-3 Th 1

580.802

RESEARCH IN BIOMEDICAL ENGINEERING   Directed research for MSE and PhD students.

   

 

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