Current Biomedical Engineering Technical Elective (BME) Courses

Below are the courses approved by the BME Curriculum Committee. Any student can petition to get a course added to this list by filling out the Course Approval Request form (available on the BME website) and turning it in to the BME academic advisor.
 
Please access myPurdue to confirm the semester courses are offered. They can change due to instructor availability and course offering rotation. In some cases an override may have to be requested.
 

BME Elective Policy:

  • A total of 15 credit hours must be completed including one 3 credit hour Quantitative Breadth (QB) course.
  • Six credit hours may be at the 300-level.
  • At least one 3 credit hour BME course must be taken at the 400-level from the Biomedical Engineering curriculum.
  • The 400-level BME course must be successfully completed with a B or above before any 500-level BME course can be taken.
  • Senior status in the BME program is required in order to enroll in the BME 500 level course(s) from the Biomedical Engineering curriculum.
  • Up to 3 credits of EPICS can be counted toward the BME technical elective requirement
  • Students enrolling in a BME course cross-listed with another department should register for the BME section on myPurdue
 

Quantitative Breadth (QB) courses

ABE 450 Finite Element Method In Design & Optimization-Fall
BME 401 Mathematical & Computational Analysis of Complex Systems-Fall
BME 595 Continuum Models in Biomedical Engineering (contact instructor regarding availability)
BME 595 Engineering the Experiment-Fall
BME 595/ 501 Multivariate Analysis in Biostatistics
ECE 311 Electric and Magnetic Fields- Fall/Spring
IE 335 Operations Research-Optimization-Fall/Spring
IE 336 Operational Research-Stochastic Models-Fall/Spring
 

Agricultural & Biological Engineering

ABE 301 Modeling and Computational Tools in Biological Engineering-Fall
ABE 450 Finite Element Method In Design & Optimization-Fall (QB elective)
*ABE 495 Cell and Molecular Design Principles-Spring
 

Biomedical Engineering

BME 401 Mathematical & Computational Analysis of Complex Systems (QB elective)
BME 495/420 Control for Biomedical and Healthcare Engineering
BME 495/430 Biomedical Imaging Modalities-Spring
BME 495/440 Orthopaedic Biomechanics
BME 495/450 Molecular and Cellular Biomechanics
BME 495/470 Biomolecular Engineering-Spring
**BME 495 Mathematical Models and Methods in Neuromuscular Physiology-Fall
BME 495 Healthcare Engineering-Fall
BME 495: Computational Neuroscience & Learning-Spring
BME 521/ABE 560 Biosensors: Fundamentals and Applications-Fall
*BME 528/ECE528 Measurement and Stimulation of the Nervous System-Fall, offered odd years
**BME 551/BMS 523 Tissue Engineering-Fall, offered even years (Cannot count as a BME tech elective if BME 595 (Principles of Tissue Engineering) has already been taken)
BME 595/CHE 597 Principles of Tissue Engineering-Fall, offered odd years (Cannot count as a BME tech elective if BME 551 has already been taken)
**BME 583 Biomaterials-Spring
*BME 501 Multivariate Analysis Biostatics (QB Elective)
*BME 511 Biosignal Processing-Fall, offered every other year
BME 595 Engineering the Experiment-Fall (QB elective)
BME 595 Continuum Models in Biomedical Engineering (QB elective) (contact instructor regarding availability)
**BME 577 Human Motion Kinetics-Spring
BME 595/BIOL 595 Neural Mechanisms in Health & Disease-Fall, offered odd years
BME 595 Medical Imaging and Diagnostic Technologies-Fall
BME 595 Regenerative Biology/Tissue Repair
 

REGULATORY COURSES (May only take 1 course for tech elective credit) - Fall/Spring

BME 595 Regulatory Compliance for Biomedical Devices-Fall
BME 595 Regulatory Approval of Biomedical Devices-Spring
BME 595 Regulatory Preclinical and Clinical Study Design-Fall
 

Chemical Engineering

*CHE 348 (4) Chemical Reaction Engineering-Fall & Spring
*CHE 456 Process Dynamics And Control- Fall
*CHE 517/ME 517 Micro/Nanoscale Physical Processes- Spring
CHE 544 Structure and Physical Behavior of Polymeric Materials-Fall, alternate years
CHE 557 Intelligent Systems in Process Engineering- Spring, alternate years
CHE 597/BME 595 Principles of Tissue Engineering-Fall, offered odd years
 

Electrical and Computer Engineering

*ECE 302 Probabilistic Methods in Electrical and Computer Engineering- Fall/Spring
ECE 305 Semiconductor Devices- Fall/Spring
ECE 311 Electric and Magnetic Fields- Fall/Spring (QB elective)
*ECE 321 Electromechanical Motion Devices- Fall/Spring
*ECE 362 Microprocessor Systems and Interfacing- Fall/Spring
ECE 368 Data Structures- Fall/Spring
*ECE 438 (4) Digital Signal Processing with Applications- Fall/Spring
*ECE 441 Distributed Parameter Systems- Fall
*ECE 453/ECE 495W Fundamentals of Nanoelectronics-Fall
*ECE 455 Integrated Circuit Engineering- Fall
*ECE 473 Introduction to Artificial Intelligence- Spring
*ECE 510 Introduction to Biometrics (IUPUI)
 

Industrial Engineering

IE 335 Operations Research-Optimization-Fall/Spring (QB elective)
IE 336 Operational Research-Stochastic Models-Fall/Spring (QB elective)
IE 343 Engineering Economics-Summer/Fall/Spring
*IE 386 Work Analysis & Design-Fall/Spring
*IE 530 Quality Control-Fall/Spring
*IE 533 Industrial Applications of Statistics- Spring
*IE 546 Economic Decisions in Engineering-Spring
*IE 558 Safety Engineering- Spring
IE 577/PSY 577 Human Factors in Engineering- Fall/Spring
IE 590 Assistive Technology Practice (temporary course, unsure about future offerings-contact instructor regarding availability)
 

Mechanical Engineering

*ME 300 Thermodynamics II-Fall/Spring
ME 309 (4) Fluid Mechanics-Fall/Spring
*ME 352 (4) Machine Design I-Fall/Spring
ME 363 Principles & Practices of Manufacturing Processes
ME 413 Noise Control: Fundamentals of Acoustic Waves
ME 444 Computer-Aided Design & Prototyping-Fall/Spring
*ME 505 Intermediate Heat Transfer
ME 507 Laser Processing
ME 509 Intermediate Fluid Mechanics
ME 513 Engineering Acoustics
*ME 517/CHE 517 Nanoscale Physical Processes
ME 556 Lubrication, Friction, & Wear
**ME 577/BME 595 Human Motion Kinetics
ME 586 Microprocessors in Electromechanical Systems
ME 588 Mechatronics-Integrated Design of Electro-Mechanical Systems
Materials Science Engineering
*MSE 382 Mechanical Response of Materials-Spring
MSE 576 Corrosion (not offered every year, contact instructor regarding availability)
 

Nuclear Engineering

NUCL 300 Nuclear Structure and Radiation Interactions-Fall
NUCL 470 Fuel Cell Engineering- Fall
NUCL 570 Fuzzy Approaches to Engineering-Spring
NUCL 597 Introduction to Bioelectrics-Spring
 

Statistics

STAT 512 Applied Regression Analysis
**STAT 514 Design of Experiments
 
*Courses with required pre-requisite.
**Courses with recommended pre-requisite.
 
 

BME Engineering Elective Course Descriptions

Agricultural & Biological Engineering

ABE 301 Modeling & Computational Tools in Biological Engineering

Consent of instructor may be required.

Introduction to principles of analysis, setup, and modeling of biological systems using fundamental principles of engineering. Development of algebraic and differential models of steady state and transient processes involving material and energy balances, elementary thermodynamic, transport, and kinetic reaction principles, and economics in biological engineering systems.
 

ABE 450 Finite Element Method in Design & Optimization (QB elective)

Prerequisite: ABE 330 is encouraged but not required.

Fundamentals of the finite element method as it is used in modeling, analysis, and design of thermal/fluid and mechanical systems; one- and two-dimensional elements; boundary value problems, heat transfer and fluid flow problems; structural and solid mechanics problems involving beam, truss, plate and shell elements; computer-aided design and optimization of machine components, structural elements and thermal/fluid system.
 

ABE 495 Cell and Molecular Design Principles

Prerequisites: MA 265 & MA 266 & BIOL 230

The design principles underlying mechanisms of cellular functions such as cell architecture, energy storage and conversion, sensing and signaling, communication, time keeping, molecular synthesis, memory, and motility. Emphasis will be placed on the chemical, physical, and mathematical features that determine the performance of the biological device. Topics cover both cellular/biochemical processes and molecular/genetic circuits. Examples are presented from reverse engineering of natural systems and design of new synthetic systems.
 

Biomedical Engineering

BME 401 Mathematical & Computational Analysis of Complex Systems-Fall (QB elective)

Prerequisite: BME 30100 OR MA 26200 or MA 26600 & BIOL 230

An introduction to mathematical modeling of nonlinear dynamics in complex systems that appear in biology, medicine, and health care. Mathematical models related to HIV/AIDS (including HIV pathogenesis, AIDS progression and transmission, and prevention and treatment) will be used throughout the course to introduce key concepts such as phase plane, bifurcation, stability diagrams. Complex nonlinear behaviors such as oscillations, bistability, and chaos will also be addressed. Corresponding concepts used in epidemiology and health policy will also be touched upon, including microbial and cellular growth, infectious disease transmission, etc. Course projects are drawn from the current literature.
 

BME 495/420 Control for Biomedical & Healthcare Engineering

This course will present modern control theory fundamentals from the biomedical engineering perspective. The concepts of feedback control and open loop control will be presented with an emphasis on biological and healthcare systems. Theory for linear state space models and feedback controller design will be taught. Examples will be drawn from physiological regulation of cardiac output and ventilation, pacemaker design, automated insulin delivery, and patient scheduling. This course cannot be taken in addition to CHE 456 (Process Dynamics and Control) due to overlap in content.
 

BME 495/430 Biomedical Imaging Modalities

This course covers basic principles and modes of bioimaging methods for biomedical sciences. Topics include interaction of electromagnetic radiation with tissue, basic concepts in imaging and detection, basic modes of imaging modalities (e.g. reflection, transmission, absorption, and emission), and basic image processing/analysis. Model systems to be used to teach the topics include conventional imaging modalities such as optical imaging, optical microscopy, X-ray, computed tomography, ultrasound, magnetic resonance imaging, etc. This course also includes hands-on exercise that reinforces important concepts.
 

BME 495/440 Orthopaedic Biomechanics

This course will focus on the study of understanding the mechanics of musculoskeletal tissues, namely, bone, tendon, ligament, disc, muscle, and cartilage. Students will conduct structural analysis of musculoskeletal systems at the organ level and analyze mechanics of fracture fixation and joint replacement implants.
 

BME 495/450 Molecular & Cellular Biomechanics

In recent decades, mechanical signals have been recognized as critical factors for proper functions of various biological processes. Disruptions in biomechanical signaling are deeply involved with several diseases, such as atherosclerosis and cancer. This course develops and applies scaling laws and the methods of continuum and statistical mechanics to biomechanical phenomena from molecular to cellular level. Topics include molecular basis for macroscopic properties; cell mechanics, motility, and adhesion; biomembranes; biomolecular mechanics and molecular motors. The class also examines a wide variety of computational models and experimental methods for investigating structures at the molecular and cellular levels. Knowledge and term project experience in the class would be very helpful for students to design and interpret experiments, to develop computational models for biological systems, and to approximate solutions of very complex problems in the future.
 

BME 495/470 Biomolecular Engineering

Biomolecular engineering is a study on the molecular interaction of biological substructures (e.g. amino acids, lipids, nucleotides) and its impact on the properties of corresponding structures in the biological system (e.g. transport, degradation, localization). This study will be focused on both natural and synthetic interactions of biological components, as well as engineering techniques to enhance, alter, and/or impart new functionality to biomolecules. Current engineering techniques such as amino acid site-specific modification, fluorescent labeling, GFP tagging, recombinant DNA, and gene shuffling will be discussed using relevant examples ranging from scientific research studies to clinical therapeutic studies.
 

BME 495 Mathematical Models and Methods in Neuromuscular Physiology

Pre-requisite: BME 295/265 & 301

This course introduces advanced analytical tools and concepts relevant to biomedical engineering design. Each topic is briefly introduced, and students work individually and in small teams to investigate physical mechanisms constrained by human anatomy and physiology using mathematical models and methods. Group work is done during scheduled class periods and other tine by arrangement. Topics include function of the cochlea (the organ of hearing), genesis of the electrocardiogram, and deep brain stimulation for the treatment of Parkinson’s disease. Mathematical methods include coupled linear and nonlinear differential equations, finite element analysis, and simulated annealing. Creation of custom computer code is required. Students prepare extensive and detailed written technical reports.
 

BME 495 Computational Neuroscience & Learning

This course sets the foundation of computational neuroscience: a branch of neuroscience that creates computable models of biological neural systems, in particular large scale neural networks for processing sensory information. The course builds on basic neural modeling, presents computable neuron models and extends to large networks of neurons. Participation in the class will also help students how to use and write efficient software models of mammalian somatosensory systems, with a focus on oriented models, and how to trade one for the other when efficiency is needed in very large networks (> 1 million). Additionally, the course is deeply rooted in machine learning, and supervised and unsupervised learning systems. The application will be centered in synthetic and artificial vision and audition, perception, intelligence for robots and automatic systems. Lecture will include an overview of the state-of-the-art in the field, new opportunities and ideas for innovation and success with such systems. Systems-level lectures will be in the form of recent paper review and discussion.
 

BME 528/ECE 528 Measurement & Stimulation of the Nervous System

Prerequisite: ECE 301. ECE 302 is encouraged but not required.

Engineering principles addressing questions of clinical significance in the nervous system: neuroanatomy, fundamental properties of excitable tissues, hearing, vision, motor function, electrical and magnetic stimulation, functional neuroimaging, disorders of the nervous system, development and refinement of sensory prostheses.
 

BME 551/BMS 523 Tissue Engineering

Suggested Pre-requisite: BME 495/470 Biomolecular Engineering

Integrates the principles and methods of engineering and life sciences toward the fundamental understanding of structure-function relationships in normal and pathological mammalian tissues, especially as they relate to the development of biological substitutes to restore, maintain, or improve tissue/organ function. Current concepts and strategies, including drug delivery, tissue and cell transplantation, bioartificial organs, and in vivo tissue regeneration are introduced, as well as their respective clinical applications.
 

BME 560 Modeling & Analysis of Physiological & Healthcare Applications

Suggested Pre-requisite: BME 495/420 Control for Biomedical & Healthcare Applications

Introduces students to healthcare engineering research through a variety of delivery decision problems that can be formulated and analyzed with engineering techniques such as simulation and linear programming.
 

BME 583 Biomaterials

Suggested Pre-requisite: BME 495/470 Biomolecular Engineering

Discussion of principles of biomaterial design, synthesis, and evaluation for various tissues/organs of the body, including orthopaedic/dental, cardiovascular, kidney, liver, lung, skin, nerve, and brain. Topics include fundamentals of materials science and engineering integrated into biology for the better regeneration of tissue.
 

BME 595/501 Multivariate Analysis Biostatics

Suggested pre-requisite: BME 430 Biomedical Imaging Modalities

Basic concepts of multivariate statistical methods of analyses for biomedical applications including multiple linear regression, multiple logistic regression, analysis of variance, and epidemiology for biomedical engineering applications. Since epidemiology deals with the investigation of the causes, distribution, and control of diseases in populations, it provides a basic frame for the advanced statistical methods. This course teaches skills needed for biomedical engineers by providing a fundamental understanding of epidemiology and intermediate biostatistics.
 

BME 511 Biosignal Processing (Difficult course: need working knowledge of ECE 302.)

Prerequisite: ECE 301 and ECE 302. Authorized equivalent courses or consent of instructor may be used in satisfying course pre- and co-requisites.

An introduction to the application of digital signal processing to practical problems involving biomedical signals and systems. Topic include: examples of biomedical signals; analysis of concurrent, coupled, and correlated processes; filtering for removal of artifacts; event detection, analysis of waveshape and waveform complexity; frequency domain characterization of signals and systems; modeling biomedical signal-generating processes and systems; analysis of nonstationary signals; pattern classification and diagnostic decision. MATLAB will be used throughout to provide numerous opportunities for hands-on application of the theory and techniques discussed to real-life biomedical signals.
 

BME 595 Engineering the Experiment (QB elective)

This is a computational course in which the students will use Matlab to simulate systems. The course is not going to cover traditional experiment design but rather look at how analysis of mathematical models of biological system dynamics can help provide insight for experiment design.
 

BME 595 Continuum Models in Biomedical Engineering

The goal of this course is to provide an introduction to continuum physics (mechanics, fluids, electromagnetic phenomena) and to elucidate the relationship between continuum physics and mathematics. First, we will explore systems of linear equations, matrices, and vector spaces and show how they are related to tensors, especially those that describe motion and stress. Second, we will consider vector calculus and how it is used to derive the governing equations for all branches of continuum physics. Finally, we will derive some simple constitutive laws and solve problems that utilize archetypal partial differential equations.
 

BME 577 Human Motion Kinetics

Suggested pre-requisite: BME 495/440 Orthopaedic Biomechanics

Study of kinetics related to human motion. Review of human anatomy and anthropometric data. Planar and three-dimensional kinematic analysis of gross human motion. Detailed kinematic studies of human joints. Newton-Euler and Lagrangian methods for joint torques. Muscle force and power analysis. Studies on walking, jumping, cycling, and throwing exercises.
 

BME 595/CHE 597 Principles in Tissue Engineering

This course will address the design strategies for engineering tissues and organs. In particular, we will focus on the underlying biological and engineering principles that are used for the design of an appropriate scaffold, selection and comparison of cell sources, and the use of exogenous (growth) factors. Examples from primary literature will be used. Topics include cell-material interactions, examples of scaffolds, and degradation kinetics of the materials.
 

BME 595/BIOL 595 Neural Mechanisms in Health & Disease

An examination of the mechanisms by which nervous systems process information in normal and pathologic states. Cellular and systems-level information processing will be studied with a focus on sensory and motor systems. Students will gain some hands-on experience in the analysis of neural data. Some neuroanatomy will be included to understand how nervous systems are organized. Pathological states such as Alzheimer’s, autism, and aging will be studied, both in terms of understanding the systems and cellular deficits as well as examining potential solutions to improve the outcomes for these neural disorders.
 

BME 595 Medical Imaging and Diagnostic Technologies- Fall

This new gateway course will provide an introduction to the physics, technologies, and biological considerations associated with modern imaging and diagnostic technologies. Physics underlying image formation and the interaction of biological tissue with associated energies will be emphasized. Specific modalities to be examined will include x-ray, nuclear imaging, ultrasound, optical tomography, MRI and mass spectrometry.
 

BME 595 Regenerative Biology/Tissue Repair

Covers the biological aspects behind the regeneration/repair and the utilization of engineering strategies to restore functionality of tissues compromised by injury and disease. A range of tissues, including epidermal, neural, digestive, respiratory, musculoskeletal, and cardiovascular, will be discussed. Key topics critical for understanding the biological underpinnings of tissue regeneration (e.g., immune response, cell-matrix) will be emphasized. Readings will be from the required text and current literature so that by the end of the course, students will be well versed in the current state of regenerative biology and the integration of engineered therapies.
 

BME 595 Regulatory Compliance for Biomedical Devices-Fall

Medical devices are developed and manufacture in a highly regulated environment. This course will provide an introduction, overview, and systematic study of the intent and impact of the major federal laws and regulations governing the development, manufacturing, distribution, and marketing of medical devices. Focus is on understanding the critical elements of regulatory science and quality compliance and acquiring a mentored experience in understanding of key regulatory and compliance principles. Instruction and mentoring in regulatory science skills is provided by academics, consultants, and industry representatives with expertise in their fields.
 

BME 595 Regulatory Approval of Biomedical Devices-Spring

Medical devices are developed and manufacture in a highly regulated environment. This course concerns the processes for obtaining FDA marketing approval for biomedical devices. Prior to marketing a medical device in the US, specific governmental approval is required dependent on the type of device. Approval processes for class I, II, and III devices, including combination devices, are covered with specific focus on 510K and PMA requirements.
 

BME 595 Regulatory Preclinical and Clinical Study Design-Fall

Students will more thoroughly understand device tissue interactions and how they may be studied with pre-clinical animal models to predict safety and performance in human clinical trials that are necessary to gain regulatory approval for marketing. Other course objectives include: appreciate bioethics concerns in animal and human testing, recognize the phases in the product development life cycle when pre-clinical and clinical testing is implemented, understand practical issues of study logistics such as selecting a site or contract research organization, developing timelines and budgets, maintaining communication, documentation and monitoring, and issuing final reports.
 

Chemical Engineering

*CHE 348 (4) Chemical Reaction Engineering

See course description for pre-requisites. Consent of instructor may be required.

Application of kinetic rate equations, mass balances and energy balances to the analysis and design of chemical reactors involving homogeneous and heterogeneous chemical reactions. Chemical equilibria, kinetic rate equations for homogeneous and heterogeneous catalyzed reactions, design of ideal isothermal reactors, effects of non-isothermal operation, effects of diffusion in porous catalysts and non-ideal mixing in continuous flow reactors.
 

*CHE 456 Process Dynamics and Control

See course description for pre-requisites. Consent of instructor may be required.

Dynamic response and control of chemical processing equipment, such as heat exchangers, chemical reactors, and absorption towers. Use is made of fundamental techniques of servomechanism theory, such as block diagrams, transfer functions, and frequency response. Introduction to advanced control techniques.
This course cannot be taken in addition to BME 495/420 (Controls in BME & Healthcare Engineering) due to overlap in content.
 

*CHE 517/ME 517 Micro/Nanoscale Physical Processes

Pre-requisite: ME 315 or consent of instructor may be required.

Study of physical processes encountered in small scale systems like Micro-Electromechanical Systems (MEMS) and nanotechnology. Introduction of tools for micron to molecular scale analysis of statics, dynamics, electricity and magnetism, surface phenomena, fluid dynamics, heat transfer, and mass transfer. Quantitative analysis of specific MEMS devices using finite element analysis
 

CHE 544 Structure & Physical Behavior of Polymeric Materials

Statistical mechanics of chain molecules, thermodynamics of polymer solutions, phase separations, experimental methods of molecular weight determination, crystallization of polymers, polymer physics, rubber elasticity, viscoelasticity.
 

CHE 557 Intelligent Systems in Process Engineering

Consent of instructor may be required.

Introduction to artificial intelligence concepts and techniques and their application to important problems in process systems engineering. Topics covered include: introduction to artificial intelligence, knowledge representation and search, knowledge-based systems, neural networks, genetic algorithms, inexact reasoning techniques, industrial case studies in process fault diagnosis and control, design and synthesis, planning and scheduling, AI languages, tools, and environments.
 

CHE 597/BME 595 Principles in Tissue Engineering

This course will address the design strategies for engineering tissues and organs. In particular, we will focus on the underlying biological and engineering principles that are used for the design of an appropriate scaffold, selection and comparison of cell sources, and the use of exogenous (growth) factors. Examples from primary literature will be used. Topics include cell-material interactions, examples of scaffolds, and degradation kinetics of the materials.
 

Electrical and Computer Engineering

ECE 302 Probabilistic Methods in Electrical and Computer Engineering

Prerequisite: Pre or Co-requisite: ECE 301

An introductory treatment of probability theory, including distribution and density functions, moments, and random variables. Applications of normal and exponential distributions. Estimation of means, variances, correlation, and spectral density functions. Random processes and responses of linear systems to random inputs.
 

ECE 305 Semiconductor Devices

Introduces and explains terminology, models, properties, and concepts associated with semiconductor devices. Provides detailed insight into the internal workings of the “building-block” device structures such as the pn-junction diode, Schottky diode, BJT, and MOSFET. Presents information about a wide variety of other devices including solar cells, LEDs, HBTs, and modern field-effect devices. Systematically develops the analytical tools needed to solve practical device problems.
 

ECE 311 Electric & Magnetic Fields (QB elective)

Continued study of vector calculus, electrostatics, and magnetostatics, and Maxwell’s equations. Introduction to electromagnetic waves, transmission lines, and radiation from antennas.
 

ECE 321 (3) Electromechanical Motion Devices

Prerequisites: ECE 202 & PHYS 241 or PHYS 272 or PHYS 251 or PHYS 261 & ECE 255 (may be taken concurrently)

The general theory of electromechanical motion devices relating electric variables and electromagnetic forces. The basic concepts and operational behavior of dc, induction, brushless dc, and stepper motors used in control applications are presented.
 

ECE 362 (4) Microprocessor Systems and Interfacing

Prerequisites: ECE 270 minimum grade of C & (CS 159 or ENGR 117)

An introduction to microcontroller instruction sets, assembly language programming, microcontroller interfacing, microcontroller peripherals, and embedded system design.
 

ECE 368 (3) Data Structures

Consent of instructor may be required.

Provides insight into the use of data structures. Topics include stacks, queues and lists, trees, graphs, sorting, searching, and hashing.
 

ECE 438 (4) Digital Signal Processing with Applications

Prerequisites: ECE 301 & 302

The course is presented in five units. Foundations: the review of continuous-time and discrete-time signals and spectral analysis; design of finite impulse response and infinite impulse response digital filters; processing of random signals. Speech processing; vocal tract models and characteristics of the speech waveform; short-time spectral analysis and synthesis; linear predictive coding. Image processing: two-dimensional signals, systems and spectral analysis; image enhancement; image coding; and image reconstruction. The laboratory experiments are closely coordinated with each unit. Throughout the course, the integration of digital signal processing concepts in a design environment is emphasized.
 

ECE 441 Distributed Parameter Systems

Prerequisite: ECE 311

Transient and steady-state behavior of transmission lines, wave guides, antennas, propagation, noise, microwave sources, and system design.
 

ECE 453/ECE 495W Fundamentals of Nanoelectronics

Pre or Co-Requisite: ECE 305

The development of nanotechnology has made it possible to engineer materials and devices on a length scale as small as
several nanometers (atomic distances are ~ 0.1 nm). The properties of such “nanostructures” cannot be described in terms of macroscopic parameters like mobility or diffusion coefficient and a microscopic or atomistic viewpoint is called for. The purpose of this course is to convey the conceptual framework that underlies this microscopic viewpoint using examples related to the emerging field of nanoelectronics.
 

ECE 455 Integrated Circuit Engineering

Pre or Co-Requisite: ECE 305

Analysis, design, and fabrication of silicon bipolar and MOSFET monolithic integrated circuits. Consideration of amplifier circuit design and fabrication techniques with circuit simulation using Spice-2. Integrated operational amplifiers with difference amplifiers, current sources, active loads, and voltage references. Design of IC analog circuit building blocks.
 

ECE 473 Introduction to Artificial Intelligence

Prerequisite: ECE 368

The course introduces fundamental areas of artificial intelligence: knowledge representation and reasoning; machine learning; planning; game playing; natural language processing; and vision.
 

ECE 510 Introduction to Biometrics (IUPUI)

Prerequisite: ECE 301 & ECE 302

Biometrics is an emerging technology for automatic human identification and verification using unique biological traits. Compared to traditional identification and verification methods, biometrics is more convenient for users, reduces fraud, and is more secure. It is becoming an important ally of security, intelligence, law enforcement, and e-commerce. The principle of various biometric technologies and systems is introduced. Especially, students analyze and design fingerprint recognition, face recognition, iris recognition, voice recognition, and multimodal biometric systems. Students have hands-on experience in designing and analyzing biometric systems.
 

Industrial Engineering

IE 335 Operational Research-Optimization

Consent of instructor may be required.

An introduction to deterministic optimization modeling and algorithms in operations research. The emphasis is on translating decision-making problems into the frameworks of linear optimization, network optimization, and discrete optimization, and the methodological techniques for solving these optimization models.
 

IE 336 Operational Research-Stochastic Models

Consent of instructor may be required.
Introduction to probabilistic models in operations research. Emphasis on Markov chains, Poisson processes, and their application to queuing systems.
 

IE 343 Engineering Economics

Cost measurement and control in engineering studies. Basic accounting concepts, income measurement, and valuation problems. Manufacturing cost control and standard cost systems. Capital investment, engineering alternatives, and equipment replacement studies.
 

IE 386 Work Analysis & Design I

Prerequisite: IE 330

Fundamentals of work methods and measurement. Applications of engineering, psychological, and physiological principles to the analysis and design of human work systems.
 

IE 530 Quality Control

Prerequisite: IE 330 or STAT 511

Principles and practices of statistical quality control in industry. Control charts for measurements and for attributes. Acceptance sampling by attributes and by measurements. Standard sampling plans. Sequential analysis. Sampling inspection of continuous production.
 

IE 533 Industrial Applications of Statistics

Prerequisite: IE 330 or STAT 511

The application of statistics to the effective design and analysis of industrial studies relating to manufacturing and human factors engineering in order to optimize the utilization of equipment and resources. Emphasis on conducting these studies at the least cost.
 

IE 558 Safety Engineering

Prerequisite: IE 386

Application of human factors and engineering practice in accident prevention and the reduction of health hazards are presented. The objective of this course is to provide an understanding of the safety and health practices which fall within the responsibilities of the engineer in industry. Special attention is devoted to the detection and correction of hazards and to contemporary laws and enforcement on occupational safety and health.
 

IE 577/PSY 577 Human Factors in Engineering

Survey of human factors in engineering with particular reference to human functions in human-machine systems, and consideration of human abilities and limitations in relation to design of equipment and work environments.
 

IE 590 Assistive Technology Practice

This course introduces rehabilitation engineering through the use, design, evaluation, and delivery of assistive technology (AT) for persons with disabilities. Students will learn about specific disabilities and their impact on daily living, educational, and occupational activities, become familiar with current policies related to AT, explore a range of assistive technology devices and systems, learn a theoretical framework to make AT assessment and intervention decisions, determine how to match appropriate AT options with individual consumer needs and preferences, and learn to work together on interdisciplinary teams to develop assistive devices and make AT recommendations to consumers with a variety of disabling conditions and AT needs.
 

Mechanical Engineering

ME 300 Thermodynamics II

Pre or Co-requisites: ME 200 & ME 263

Properties of gas mixtures, air-vapor mixtures, applications. Thermodynamics of combustion processes, equilibrium. Energy conversion, power, and refrigeration systems.
 

ME 309 (4) Fluid Mechanics (4)

See course description for pre-requisites. Consent of instructor may be required.

Continuum, velocity field, fluid statics, manometers, basic conservation laws for systems and control volumes, dimensional analysis. Euler and Bernoulli equations, viscous flows, boundary layers, flow in channels and around submerged bodies, one-dimensional gas dynamics, turbomachinery.
 

ME 413 Noise Control: Fundamentals of Acoustic Waves

Consent of instructor may be required.

Properties Fundamentals of acoustic waves. Psychoacoustics and theories of hearing. Enviromental and building acoustics. Measurement methods and common instrumentation. Noise control methods. Machinery noise. Community reaction. Legal aspects. Design-oriented semester project.
 

ME 444 Computer-Aided Design & Prototyping

First Semester Senior Standing or higher

Introduction to advanced computer-aided design (CAD) for product design, modeling, and prototyping. Individual use and team-based environment to design and prototype a functional and marketable product. Projects include use of the advanced design tools to produce a working prototype that is manufacturable. Application to design, manufacturing, and analysis.
 

ME 352 (4) Machine Design I

Consent of Instructor or Assistant Head of ME. This course has several pre-reqs. Course was primarily added to this list for students pursuing the ME minor.
Introduction to the principles of design and analysis of machines and machine components. Design for functionality, motion, force, strength, and reliability. The laboratory experience provides open-ended projects to reinforce the design process.
 

ME 363 Principles & Practices of Manufacturing Processes

Manufacturing processes for engineering materials, both metallic and non-metallic. Fundamentals of manufacturing processes with a "hands-on" laboratory sequence. Analysis and design of processes for various engineering materials and their link to engineering design. Hands-on experiences through laboratory experiments and demonstrations. Not open to students with credit in IE 37000.
 

ME 505 Intermediate Heat Transfer

Prerequisite: ME 315

Heat and mass transfer by diffusion in one-dimensional, two-dimensional, transient, periodic, and phase change systems. Convective heat transfer for external and internal flows. Similarity and integral solution methods. Heat, mass, and momentum analogies. Turbulence. Buoyancy-driven flows. Convection with phase change. Radiation exchange between surfaces and radiation transfer in absorbing-emitting media. Multimode heat transfer problems.
 

ME 507 Laser Processing

Consent of instructor may be required.

Introduces background knowledge in laser science and laser technology and fundamentals involved in laser processing and manufacturing. The following topics are discussed: laser fundamentals, industrial laser systems and processes, and the laser-induced thermal, thermo-mechanical, and thermo-acoustic effects. The course also discusses emerging areas of laser applications, such as microscale laser processing, ultra fast laser processing, and the related energy transport analyses. Laboratory and video demonstration sessions are used to enhance the overall understanding of the course materials.
 

ME 509 Intermediate Fluid Mechanics

Fluid properties. Basic laws for a control volume. Kinematics of fluid flow. Dynamics of frictionless incompressible flow and basic hydrodynamics. Equations of motion for viscous flow, viscous flow applications, boundary layer theory. Wall turbulence, lift and drag of immersed bodies.
 

ME 513 Engineering Acoustics

The simple oscillator. Lumped acoustical elements. Electro-mechanical-acoustical analogies. Wave motion in strings and
membranes. Introduction to linear acoustics through derivation of the wave equation and simple solutions. Plane and spherical waves. Acoustic intensity. Plane wave transmission through fluid layers and simple barriers. Sound absorption. Modeling of acoustical sources: monopoles, dipoles, quadrupoles. Mechanisms of sound generation and directionality. Sound propagation in one-dimensional systems (e.g., ducts and mufflers). Introduction to room acoustics.
 

ME 517/CHE 517 Micro/Nanoscale Physical Processes

Prerequisite: ME 315 or consent of instructor may be required.

Study of physical processes encountered in small scale systems like Micro-electromechanical Systems (MEMS) and nanotechnology. Introduction of tools for micron to molecular scale analysis of statics, dynamics, electricity and magnetism, surface phenomena, fluid dynamics, heat transfer, and mass transfer. Quantitative analysis of specific MEMS devices using finite element analysis.
 

ME 556 Lubrication, Friction & Wear

Science, technology, and application of lubricated interacting surfaces in relative motion. Advanced analysis techniques and hands-on exposure to modern experimental methods provide an enhanced understanding of fundamental principles of lubrication, friction, and wear. Basics of design and analysis of machine components operating in the presence of air and liquid lubricants. Rolling fatigue, friction and wear models, and measurement techniques.
 

ME 577/BME 595 Human Motion Kinetics

Suggested pre-requisite: BME 495/440 Orthopaedic Biomechanics

Study of kinetics related to human motion. Review of human anatomy and anthropometric data. Planar and three-dimensional kinematic analysis of gross human motion. Detailed kinematic studies of human joints. Newton-Euler and Lagrangian methods for joint torques. Muscle force and power analysis. Studies on walking, jumping, cycling, and throwing exercises.
 

ME 586 Microprocessors in Electromechanical Systems

Architecture of microcomputers; operating systems, logic functions, logic circuit design; I/O structure and interfacing; assembly language, manual assembly; software and hardware interrupts; data acquisition, serial and parallel communications; the role of high level languages. Laboratory experiments on applications to electrical, mechanical, and thermofluid systems.
 

ME 588 Mechatronics-Integrated Design of Electro-Mechanical Systems

Consent of instructor may be required.

Electronic and interfacing techniques for design and control of electro-mechanical systems. Basic digital and analog design with applications to electro-mechanical interfacing via hands-on laboratory experience. Commonly used actuators and sensors and corresponding interfacing techniques. Realistic and integrated product development experience provided through a comprehensive final project where working prototypes are built to defined specifications.
 

Materials Science Engineering

MSE 382 Mechanical Response of Materials

Prerequisite: ME 270 & MSE 230

This course encompasses deformation-based microscopic mechanisms, including dislocation motion, diffusion, and viscoplasticity. Macroscopic mechanical response of metals, ceramics, polymers, and composites will be related to elasticity and plasticity concepts for single crystal, polycrystalline, and amorphous materials. Practical design considerations for deformation will be included as well as an introduction to fracture mechanisms.
 

MSE 576 Corrosion

This course seeks a balance between “corrosion science (predictions based on understanding of fundamentals) and “corrosion technology” (practical applications, often empirical). The fundamental tools are thermodynamics (will corrosion occur and what are the corrosion products?) and kinetics (what is the corrosion mechanism and how fast does corrosion proceed?)
 

Nuclear Engineering

NUCL 300 Nuclear Structure and Radiation Interactions

Review of atomic properties and introduction to nuclear models. Discussion of radioactive decay and the interaction of nuclear radiation and reaction products with matter. Energetics and cross-sections of nuclear reactions with applications to problems typical of nuclear engineering.
 

NUCL 470 Fuel Cell Engineering

Consent of instructor may be required.

The principles of electromechanical energy conversion for a single fuel cell, fuel cell stack, process engineering in the fuel and oxidizer supply systems. Principles, components, operation and performance for alkaline, phosphoric acid, solid polymer, molten carbonate and solid oxide fuel cells. Provides broad insight into science, technology, system design, and safety concerns in design and operation of fuel cells.
 

NUCL 570 Fuzzy Approaches in Engineering

This class will cover the historical foundations of fuzzy logic, computation, learning, thought, and the motivation for the emergence and the applications of fuzzy logic.
 

Statistics

STAT 512 Applied Regression Analysis

Thorough applied course in regression and analysis of variance including experience with the SAS statistical software package. Topics include inference in simple and multiple linear regression, residual analysis, transformation, polynomial regression, model building with real data, nonlinear regression. One-way and two-way analysis of variance, multiple comparisons, fixed and random factors, analysis of covariance. Not mathematically advanced, but covers a large volume of material. Requires calculus, and simple matrix algebra is helpful. Recommended for graduate students and for hard working undergraduates from all areas.
 

STAT 514 Design of Experiments

Prerequisite: Course is a continuation of STAT 512, while 512 is not required, you should not take this course without having taken a good introductory course in stat (see syllabus for detail)

Course Objectives: To be able to plan an experiment in such a way that the statistical analysis results in valid and objective conclusions. To learn a variety of experimental designs and be able to choose an appropriate design for a specific experiment. To be able to perform the proper statistical analysis and draw valid conclusions from a specific experiment.
Updated: 12/19/13.