Bioengineering

Name Title Credits School
BIOE 610 Engineering Principles in Cell Biology 3.00 School of Eng & Comp Sciences
The course has two main objectives: 1) to equip students with essential knowledge and stimulate intuitive understanding of molecular and cell biology; 2) to introduce and develop common engineering concepts and approaches for quantitative analysis of physical-chemical systems in the context of cell biology. The long-term goal is to help students operate effectively at the interface of cell biology and engineering. Classroom Hours- Laboratory and/or Studio Hours- Course Credits: 3-0-3

BIOE 620 Statistics for Biomedical Engineers 3.00 School of Eng & Comp Sciences
Provides an introduction to selected important topics in biostatistical concepts and reasoning. Specific topics include tools for describing central tendency and variability in data; methods for performing inference on population means and proportions via sample data; statistical hypothesis testing and its application to group comparisons; issues of power and sample size in study designs; and analysis of single-subject and small-group data. Classroom Hours- Laboratory and/or Studio Hours- Course Credits: 3-0-3

BIOE 635 Probability & Stochastic Processes 3.00 School of Eng & Comp Sciences
This course starts with a review of elements of probability theory such as: axioms of probability, conditional and independent probabilities, random variables, distribution functions, functions of random variables, expectations, and some well-known random variables such as Bernoulli, geometry, binomial, Pascal, Gaussian, and Poisson. The course introduces more advanced topics such as stochastic processes, stationary processes, correlations, statistical signal processing, and well-known processes such as Brownian motion, Gaussian, Poisson, and Markov. Classroom Hours- Laboratory and/or Studio Hours- Course Credits: 3-0-3

BIOE 640 Process Control in Biotechnology 3.00 School of Eng & Comp Sciences
This course provides principles and methods of measurement, data acquisition and analysis. Application of control theory in biological systems and in biotechnology processes; control of pressure, flow, temperature, and pH. The goal of this course is to prepare the students for designing digital control algorithms that automate the biotechonolgy processes. Classroom Hours- Laboratory and/or Studio Hours- Course Credits: 3-0-3

BIOE 642 Sensors and Actuators 3.00 School of Eng & Comp Sciences
Introduction to principles, fabrication techniques, and applications of sensors and actuators. Introduction to the mechanical and electrical properties of materials commonly used in sensors and actuators. The microfabrication processes along with integration of MEMS with CMOS electronics. Fundamental principles and applications of important microsensors, actuation principles on micro-scale. BioMEMS and lab-on-a-chip devices.

BIOE 650 Medical Devices 3.00 School of Eng & Comp Sciences
The fundamentals of embedded systems design and implementation are introduced. The fundamentals include: specifications of microcontrollers, common hardware/software, performance analysis and optimization, CAD tools, hardware-description languages, FPGA design flows, and Low-power computing. This course will provide students with an overview of the latest advancements in research, design, development, and new applications of a wide variety of medical devices. A brief background on excitable cells, and neuromuscular system will be provided; hence, no biological background is needed. Examples of important medical devices, including pacemakers, cochlear implants, insulin pumps, and deep brain stimulators will be discussed. Classroom Hours- Laboratory and/or Studio Hours- Course Credits: 3-0-3

BIOE 660 Digital Processing of Biological Signals 3.00 School of Eng & Comp Sciences
This course provides fundamental techniques for extraction of useful information from signals acquired from biological systems. Topics include time and frequency domain analysis, cross correlation, spectrum analysis, and convolution. Design of finite impulse response (FIR) and infinite impulse response (IIR) filters for processing biological signals are described. Examples include cardiac, neural, respiratory, and biomechanical movements. Classroom Hours- Laboratory and/or Studio Hours- Course Credits: 3-0-3

BIOE 665 Linear Systems 3.00 School of Eng & Comp Sciences
This course will cover fundamental concepts in linear system theory such as matrix algebra, linear vector space, linear operator. Linearity, causality and time invariance will be discussed. Input-output and state-space models will be presented. The concepts of controllability, observability, and stability of linear systems will be studied. Classroom Hours- Laboratory and/or Studio Hours- Course Credits: 3-0-3

BIOE 666 Biomedical Signals and Systems 3.00 School of Eng & Comp Sciences
The theory and application of linear time-invariant (LTI) systems is explored, with a focus on the description and analysis of biomedical signals and systems. Topics include linear, time-invariant (LTI) systems, frequency (Fourier) analysis: response of LTI systems to sinusoids, systems and transforms, LTI filters, and Discrete-time signals and systems. Applications include signals and noise, processing of the physiological signals (ECG, EEG, etc.), mathematics of imaging and derivation of useful physiological parameters from input signals.

BIOE 730 Nanotechnology 3.00 School of Eng & Comp Sciences
An introduction to nanotechnology is presented via the pragmatic criterion of usefulness. This includes an introduction to solid state physics, methods of measuring nanosecond properties and individual nanoparticles, carbon structures, nanostructures ferromagnetism, optical spectroscopy, quantum wells, and nanomachines and devices. Classroom Hours- Laboratory and/or Studio Hours- Course Credits: 3-0-3

BIOE 751 Signal Processing I 3.00 School of Eng & Comp Sciences
Fundamental processing of digital signals. Design of analog and digital filters. Applications of signal processing, industrial signal processing, image processing and speech synthesis with emphasis on design. Classroom Hours- Laboratory and/or Studio Hours- Course Credits: 3-0-3

Prerequisite Course(s): Prerequisite: EENG 660

BIOE 851 Signal Processing II 3.00 School of Eng & Comp Sciences
Topics covered in this course are: adaptive linear combiners, quadratic performance surfaces, random search, steepest decent, Newton's method, LMS algorithm, adaptive lattice filters, adaptive modeling, system identification, adaptive digital filters, adaptive control, adaptive noise cancellation, Wiener and Kallman filters. Classroom Hours- Laboratory and/or Studio Hours- Course Credits: 3-0-3

Prerequisite Course(s): Prerequisite: EENG 751