Curriculum: Ph.D. in Engineering, Bioengineering Concentration
View Other Concentrations: Electrical & Computer Engineering | Mechanical Engineering
Major Requirements
| Seminars | Credits: | |
| ENGR 610 | Introduction to Ph.D. Study in Engineering | 2 |
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This course will cover important topics for students pursuing a PhD in Engineering and is intended to expose them to the inherently interdisciplinary nature of complex, real-world problems for which their education is intended to address. Topics covered will include research methods, dissertation proposal writing, effective literature review, mechanics of PhD studies, research ethics, and career development. Students will be exposed to research areas underway by faculty in multiple disciplines. Practitioners from industry, as guest speakers will describe problems, projects, and engineering solutions that are inherently interdisciplinary in nature. Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 2-0-2 |
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| ENGR 800 | Doctoral Seminar | 1 |
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This course will include presentations by invited speakers and/or faculty members, professional development sessions, and some PhD student presentations. The topics of presentations will vary with speakers. PhD students registered for the course will be required to give a presentation on their research in the class. Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 0-0-1 |
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| Total: 3 Credits | ||
| Independent Research | Credits: | |
| ENGR 860 | Independent Research** | 1–9 |
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This course is devoted to independent research for PhD student. Work is carried out under supervision of a graduate school faculty member and must be approved by the chairperson of ECE/ME department. Classroom Hours - Laboratory and/or Studio Hours – Course Credits: (1-9)-0-(1-9) |
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| Total: 18 Credits | ||
| ** Students can register for these courses multiple times with credits ranging from 1 to 9 to fulfill the total 30-credit requirement for research and dissertation. | ||
| Ph.D. Dissertation | Credits: | |
| ENGR 861 | Ph.D. Dissertation** | 1–9 |
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Development and implementation of original research. After completion of preliminary dissertation proposal, candidates must continue to register for this course to maintain candidacy until the completed dissertation is submitted. Classroom Hours - Laboratory and/or Studio Hours – Course Credits: (1-9)-0-(1-9) |
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| Total: 12 Credits | ||
BIOENGINEERING (BIOE) CONCENTRATIONFor Ph.D. students with a concentration in Bioengineering, 11 courses (33 credits) can be selected from the following areas: Biostatistics; Biological Signal Processing/Data Mining and Control; Biomechanics/Biomaterials; and Instrumentation/Systems and Sensors/Bio-nanotechnology. |
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| Biostatistics | Credits: | |
| BIOE 610 | Engineering Principles in Cell Biology | 3 |
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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 Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3 |
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| BIOE 620 | Statistics for Biomedical Engineers | 3 |
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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 Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3 |
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| BIOE 635 | Probability & Stochastic Processes | 3 |
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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 Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3 |
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| BIOE 665 | Linear Systems | 3 |
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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 Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3 |
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| Biological Signal Processing/Data Mining and Control | Credits: | |
| BIOE 640 | Process Control in Biotechnology | 3 |
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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 Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3 |
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| BIOE 660 | Digital Processing of Biological Signals | 3 |
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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 Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3 |
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| BIOE 666 | Biomedical Signals and Systems | 3 |
| Please view all course descriptions: http://www.nyit.edu/courses | ||
| BIOE 751 | Signal Processing I | 3 |
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Prerequisite: Prerequisite: BIOE 651 or EENG 660 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 Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3 |
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| BIOE 851 | Signal Processing II | 3 |
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Prerequisite: Prerequisite: EENG 751 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 Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3 |
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| CSCI 636 | Big Data Analytics | 3 |
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Organizations today are generating massive amounts of data that are too large and unstructured to fit in relational databases. Organizations and enterprises are turning to massively parallel computing solutions such as Hadoop. The Apache Hadoop platform allows for distributed processing of large data sets across clusters of computers using the map and reduce programming model. Students will gain an in-depth understanding of how MapReduce and Distributed File Systems work. In addition, they will be able to author Hadoop-based MapReduce applications in Java and use Hadoop subprojects Hive and Pig to build powerful data processing applications. Industry systems, such as IBM InfoSphere BigInsights and IBM InfoSphere Streams will be studied. Classroom Hours- Laboratory and/or Studio Hours- Course Credits: 3-0-3 Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3 |
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| CSCI 755 | Artificial Intelligence I | 3 |
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Prerequisite: Prerequisite: CSCI 651 This course will cover machine learning (ML) concepts, decision theory, classification, clustering, feature selection, and feature extraction. Emphasis is on the core idea and optimization theory behind ML methods. Important ML applications (including biometrics and anomaly detection) will also be covered. Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3 |
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| Biomechanics/Biomaterials | Credits: | |
| MENG 622 | Biomechanics | 3 |
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Introduction of the mechanical principles of living organisms, particularly their movement and structure. The course introduces the students to concepts of mechanics as they apply to dynamics of human motion. Topic include application of physical laws to human performance including, linear and angular motion, projectile motion, forces, impulse and momentum, luid mechanics, and tissue mechanics. Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3 |
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| MENG 634 | Finite Element Analysis | 3 |
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Potential energy, stiffness matrix and load vector, continuity, interpolations, numerical integration, two dimensional elements, triangular elements, rectangular elements, reduced integration, optimal sampling, plate bending elements, locking selectively reduced integration, hybrid stress model, steady state field problems, heat conduction, fluid flow. Classroom Hours- Laboratory and/or Studio Hours- Course Credits: 3-0-3 Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3 |
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| MENG 635 | Advanced Mechanics of Materials and Composites | 3 |
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Linear elastic materials, isotropic materials, anistropic materials, micromechancis, stress fields of dislocations, interactions among imperfections and defects, plasticity, strain hardening, creep and relaxation, fracture mechanics, stress concentrations, singularity, crack propagation, particulate composites, fibrous composites, laminated composites, stress analysis for isotropic and anistropic composites. Classroom Hours- Laboratory and/or Studio Hours- Course Credits: 3-0-3 Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3 |
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| Instrumentation/Systems and Sensors/Bio-nanotechnology | Credits: | |
| BIOE 650 | Medical Devices: An Embedded Systems Approach | 3 |
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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 Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3 |
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| BIOE 730 | Nanotechnology | 3 |
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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 Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3 |
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| CSCI 765 | VLSI Systems | 3 |
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Prerequisite: Prerequisite: CSCI 660 This course assumes a basic knowledge of VLSI design and concentrates on the architecture, organization, implementation and technology issues of designing VLSI systems. A focus of the course will be significant student projects utilizing hierarchical design techniques, CAD design and simulation tools, and design for testability techniques. Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3 |
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| CSCI 840 | Software Design for Real-Time Systems | 3 |
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Methods for the design of software for real time applications are covered in this course. Topics include execution time and memory requirements, interfacing high level language features for real time applications, interfacing assembly language routines and the use of coprocessors. Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3 |
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| EENG 780 | Silicon Integrated Circuit Theory and Fabrication | 3 |
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Semiconductor device fabrication is the process used to create the integrated circuits that are present in most electrical and electronic devices. In this course, steps and processes of fabricating integrated circuit semiconductor devices are covered. Topics include crystal growth (thin film and bulk), thermal oxidation, dopant diffusion/implantation, thin film deposition/etching, and lithography. Introduction to process simulators, such as SUPREM, fabrication and characterization of MOS capacitors, junction diodes and MOSFET devices, introduction to Clean Room, metal interconnects, and statistical process controls. Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3 |
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| EENG 830 | RF Electronic Circuits | 3 |
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Prerequisite: Prerequisite: EENG 770 The course introduces the student to RF electronic circuits. Almost sinusoidal oscillators, mixers, RF and IF frequency converters, frequency synthesizers, power amplifiers, and PM modulation and demodulation circuits are covered. The augmentation of conventional models of communication electronics by the principles of fields and waves at SHF mobile radio band is discussed. Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3 |
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| EENG 860 | Nano-Biotechnology | 3 |
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This course provides an opportunity for students to study, in a variety of formats, advanced topics which may not be included elsewhere in the curriculum. The topics may be of mutual interest to the student and faculty member or appropriate for group study. Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3 |
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| MENG 642 | Sensors and Actuators | 3 |
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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. Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 2-2-3 |
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| Students will be required to maintain an overall GPA of 3.0 in Ph.D. courses. A grade below a B- will result in the student repeating the course. | ||
Total Program Credits = 66A maximum of 18 credits may be transferred if the student has an M.S. degree in a related area, with approval of the program director. |