| |
| |
-
CHM 510 - Advanced Organic Chemistry Credits 3
Lecture / 3 hours per week
A study of mechanisms and stereo-chemical aspects of chemical reactions including considerations of chemical kinetics and reactivity in terms of modern bonding theory and structural concepts.
Graded
|
| |
-
CHM 511 - Biochemistry I Credits 3
Lecture / 3 hours per week
A comprehensive study of biochemistry including amino acid and protein chemistry, enzymology, enzyme kinetics, bioenergetics, metabolism of carbohydrates, lipids, amino acids, nucleotides; biosynthesis of nucleic acids and proteins. CHM 411
Graded
|
| |
-
CHM 512 - Biochemistry II Credits 3
Requirements: Prereq: CHM 511Lecture / 3 hours per week
A continuation of CHM 411.
A comprehensive study of biochemistry including amino acid and protein chemistry, enzymology, enzyme kinetics, bioenergetics, metabolism of carbohydrates, lipids, amino acids, nucleotides; biosynthesis of nucleic acids and proteins. CHM 412
Graded
|
| |
-
CHM 514 - Biochemistry Laboratory Credits 3
Lecture / 7 hours per week
Basic biochemical techniques and methods including spectrophotometry, electrophoresis, chromatography, ultracentrifugation and radioisotopic techniques and their application to amino acids and proteins, lipids and membranes, enzymes and nucleic acids. CHM 414
Graded
|
| |
-
CHM 521 - Organic Mechanisms Credits 3
Lecture / 3 hours per week
The first part of the course provides a background in the various areas of physical organic chemistry such as thermodynamics, kinetics, acid-base theory, structure-reactivity relationships and dipole moments. This is followed by a systematic study of reaction mechanisms. CHM 421
Graded
|
| |
-
CHM 522 - Computer and Mathematical Methods in Physical Science Credits 3
Lecture / 3 hours per week
Selected topics in applied mathematics and computer science with applications to physical chemistry, organic chemistry, and bioinformatics. Includes introduction to differential equations, linear algebra, computer programming, curve and surface fitting, numerical integration, trajectory calculations, molecular modeling, quantum chemistry, computational molecular biology, and biological data analysis. CHM 422
Graded
|
| |
-
CHM 523 - Chemistry of the Mind Credits 3
Lecture / 3 hours per week
Exploration of the states of matter as understood by mind by considering reductionist and holistic approaches. Fundamental assumptions in developing scientific principles are examined with examples of kinetic theory of gases, ideal gas equation, and laws of thermodynamics. Application of thermodynamic laws to biological systems to model mind and brain activities. Structure, evolution, and functioning of the nervous system and neurological and metaphysical understanding of mind and consciousness are examined.
Graded
|
| |
-
CHM 525 - Theoretical Organic Chem Credits 3
Lecture / 3 hours per week
Molecular orbital theory of organic molecules; applications of molecular orbital theory; reactivity, ESR, Carbon-13 NMR, photoelectron spectroscopy, etc.; orbital symmetry in electrocyclic reactions, cycloadditions, and sigmatropic reactions.
Graded
|
| |
-
CHM 526 - Polymer Synthesis and Characterization Credits 3
Lecture / 6 hours per week
Laboratory synthesis of polymers and copolymers by different methods with an emphasis on the practical aspects of polymer synthesis. A discussion of various techniques of polymer characterization in terms of basic principles, experimental procedure, and interpretation of results. A selected number of experiments will be conducted on a class-project basis. CHM 426
Graded
|
| |
-
CHM 527 - Electronic Structure of Atoms and Molecules Credits 3
Lecture / 3 hours per week
Fundamental quantum mechanical principles of electronic structure. Angular momentum, the hydrogen atom problem, helium ground and excited states, electron spin and antisymmetrization, many electron atoms, bonding theory, valence bond and molecular orbital theory of diatomic and polyatomic molecules, applications of group theory to molecular orbital calculations, the self-consistent field method.
Graded
|
| |
-
CHM 529 - Physical Biochemistry Credits 3
Requirements: Prereqs: CHM 315, 412; Graduate StandingLecture / 3 hours per week
Physico-chemical principles governing structures of biological macromolecules. Topics include energetics and kinetics of biochemical processes, including binding, catalysis, diffusion/transport, and folding/unfolding; behavior of macromolecules in aqueous medium; and application of spectroscopic methods in biochemistry.
Graded
|
| |
-
CHM 531 - Chemical Kinetics Credits 3
Lecture / 3 hours per week
Principles and selected topics, including analysis of reaction rates, kinetic and transition state theories, reactions in gas and liquid phases, unimolecular reactions, fast reactions, trajectory calculations, ion-molecule reactions, enzyme kinetics, and polymer kinetics.
Graded
|
| |
-
CHM 541 - Principles of Inorganic Chemistry Credits 3
Lecture / 3 hours per week
The application of physico-chemical principles to inorganic systems. Discussion of chemistry of the representative elements utilizing thermodynamic principles and the modern theories of bonding and structure. Introduction to coordination chemistry. CHM 431
Graded
|
| |
-
CHM 542 - Quantum Chemistry Credits 3
Lecture / 3 hours per week
Fundamental concepts of quantum mechanics; wave properties, Schrodinger equation, and operators. Basic application to free particles, harmonic oscillator, hydrogen atom. Perturbation theory and variation method. Applications to many-electron systems and time-dependent problems.
Graded
|
| |
-
CHM 544 - Applied Spectroscopy Credits 3
Lecture / 3 hours per week
A study of spectroscopic methods of determination of structure of organic compounds, especially infrared, ultraviolet, visible, nuclear magnetic resonance, and mass spectrometry, with extensive applications to individual cases. CHM 442
Graded
|
| |
-
CHM 550 - Special Topics in Chemistry Credits 3
Lecture / 3 hours per week
An advanced treatment of special topics in chemistry with an emphasis on recent developments. The subject matter varies from year to year.
GradedThe subject matter varies from year to year.
|
| |
-
CHM 552 - Instrumental Methods of Analysis Credits 4
Lecture / 4 hours per week
The theory and practice of modern analysis utilizing optical and electrochemical instrumentation in the solution of chemical problems. Topics discussed include ultraviolet, visible, and infrared spectrophotometry, fluorimetry, flame emission and atomic absorption spectroscopy, plasma emission spectroscopy, potentiometry utilizing ion specific electrodes, radiochemistry, thermo-analytical methods, voltammetry including polarography, amperometry, and coulometry; liquid chromatography, electron spectroscopy, x-ray fluorescence analysis, and neutron activation analysis.
Graded
|
| |
-
CHM 553 - Nuclear and Radiochemistry Credits 3
Lecture / 3 hours per week
Application of nuclear and radiochemical methods. Topics include fundamentals of radioactive decay, radiation safety, interaction of radiation with matter, instrument design and function, radiotracers, radio-analytical methods, and related non-destructive methods for quantitative analysis.
Graded
|
| |
-
CHM 555 - Methods of Chemical Separation Credits 3
Lecture / 3 hours per week
A survey and practice of modern separation methods. Topics include liquid, gas, thin layer and ion exchange chromatography; electrophoresis; sample preparation and extraction.
Graded
|
| |
-
CHM 560 - New Synthetic Methods Credits 3
Lecture / 3 hours per week
Survey of preparative methods in organic chemistry and their application to the synthesis of complex molecules.
Graded
|
| |
-
CHM 562 - Natural Products Credits 3
Requirements: Pre-Req: CHM 251, 252 & 411 C- or betterLecture / 3 hours per week
Isolation, structure elucidation, total synthesis, biosynthetic pathways, metabolism, and physiological importance and pharmacological uses of natural products.
Graded
|
| |
-
CHM 565 - Physical Chemistry of the Environment Credits 3
Lecture
Physical chemistry of the natural environment. Topics include global homeostasis, heterogeneous (air, water, soil) equilibria, chemical speciation in aquatic systems, atmospheric photochemistry, air pollution, global warming, energy generation technologies, and environmental transport.
Graded
|
| |
-
CHM 570 - Food Chemistry Credits 3
Requirements: Prerequisite: CHM 251, CHM 252, CHM 266;CHM 305, CHM 411 recommended; Graduate Students or Permission of InstructorLecture
Chemistry of food constituents: classes, origins, roles, and methods of analysis used to study composition. Emphasis placed on structure, function, occurrence, biosynthesis, biological activity, and nutritional roles of food constituents, especially phytochemicals. Recent scientific literature in agricultural and food chemistry and related fields, nutrition, and current issues in food science will be discusses. CHM 470
Graded
|
| |
-
CHM 595 - Independent Study Credits variable; 1.00 to 6.00
Independent Study
Study under the supervision of a faculty member in an area not otherwise part of the discipline’s course offerings. Terms and hours to be arranged.
Graded
|
| |
-
CHM 596 - Directed Study Credits variable; 1.00 to 6.00
Independent Study
Study under the supervision of a faculty member in an area covered in a regular course not currently being offered. Terms and hours to be arranged.
Graded
|
| |
-
CHM 599 - Proseminar on Ethics Credits 1
Lecture / 1 hours per week
Basic ethics of scientific research. Students will learn how to maintain integrity in scientific research through introduction to principles critical not only for their graduate research, but also for their scientific career.
Graded
|
| |
-
CHM 600 - Thesis/Dissertation Research Credits variable; .00 to 9.00
Thesis
Original chemical research and preparation of thesis. Required for Plan A master’s degree. Graded P/F.
Pass/Not Pass
|
| |
-
CHM 620 - Library Research Credits variable; 2.00 to 5.00
Research
Survey of a particular topic in the chemical literature. Written final summary report required. Graded P/F.
Pass/Not Pass
|
| |
-
CHM 650 - Graduate Seminar Credits 1
Seminar
Lectures on current topics in chemistry from guest lecturers and students. The graduate student will present a total of two seminars, one of which will be the thesis seminar. Each graduate student is required to enroll in this course for each semester in residence. This course will not count toward the 30 credits of course work and research required for the degree.
Pass/Not Pass
|
| |
-
CHM 699 - Chemical Literature and Writing Credits 2
Lecture / 2 hours per week
Using relevant resources to search the scientific literature and to write scientific papers and proposals. Practice in these skills essential for PhD candidates is provided so they can carry out their research, write their dissertations and manuscripts for publication, write research proposals, and more importantly, are prepared to become independent researchers.
Graded
|
| |
-
CIS 522 - Algorithms & Complexity Credits 3
Requirements: Prerequisite: CIS 360 or permission of InstructorLecture / 3 hours per week
Evaluation of algorithms concerning their time and space complexity. Complexity hierarchies, axiomatic approach to computational complexity, NP complete problems, approximation algorithms for these problems.
Graded
|
| |
-
CIS 525 - Paral&Distrib Sftwr Dev Credits 3
Lecture / 3 hours per week
Design and development of parallel and distributed systems. This course provides state-of-the art presentation of software development for parallel and distributed systems. A systematic model-based approach has been applied across stages of software development. Various versions of Petri nets are used to model , specify, validate, and verify correctness of parallel and distributed systems. Performance is also assessed based on stochastic Petri nets. Rapid prototyping of parallel and distributed systems with automatic code generation is an ultimate goal of his course. Comparison with other approaches is also provided.
Graded
|
| |
-
CIS 531 - Software Systm Specfctn Credits 3
Lecture / 3 hours per week
Formal foundation of the theory and practice of software specification; production of correct, consistent, and reliable software systems by expressing the requirements of the system in formal ways. Formal and informal requirements analysis and specification techniques, the relation of analysis and specification to concerns of validation and verification, maintenance, and reusability.
Graded
|
| |
-
CIS 532 - Software Systems Design Credits 3
Lecture / 3 hours per week
Principles and techniques for obtaining an architectural design from a system specification. Where appropriate, automated software design tools are used to demonstrate particular methodology. The relation of various design methods to the production of quality software that meets its specification, and the relation of design method to other life-cycle aspects. Design methods, design tools, the design process, and particular application domains for design techniques.
Graded
|
| |
-
CIS 545 - Programming Languages Credits 3
Lecture / 3 hours per week
Techniques of formal definition of programming languages, semantics of programming languages, programming styles, and language effects on software production. Introduces current trends in programming such as language features of problem-oriented and object-oriented programming, and analysis and design of user-oriented application languages.
Graded
|
| |
-
CIS 552 - Database Design Credits 3
Lecture / 3 hours per week
The relational, hierarchical, and network approaches to database systems, including relational algebra and calculus, data dependencies, normal forms, data semantics, query optimization, and concurrency control on distributed database systems.
Graded
|
| |
-
CIS 554 - Adv Computer Graphics Credits 3
Lecture / 3 hours per week
Three-dimensional graphics including: color, shading, shadowing and texture, hidden surface algorithms. An extensive project will be assigned, including documentation and presentation.
Graded
|
| |
-
CIS 555 - Advanced Bioinformatics Credits 3
Requirements: Prereqs: CIS 360, 455, or permission of instructorLecture
Advanced coverage of computational approaches used in bioinformatics. The course focuses on algorithmic challenges in analyzing molecular sequences, structures, and functions. It covers the following topics: Sequence comparison, assembly and annotation. Phylogenetic analysis. RNA secondary structure. Protein structure comparison, prediction, and docking. Microarrays, clustering, and classification. Genome, Hapmap, SNPs, and phenotypes. Proteomics and protein identification. Determining protein function and metabolic pathways.
Graded
|
| |
-
CIS 560 - Theoretical Comp Science Credits 3
Lecture / 3 hours per week
Theoretical basis of the development of computer science. The course details particular formalisms used in the design of hardware and software systems. Intrinsic limitations of computation are described. Advanced topics of automata theory and analysis of algorithms are included. The course also covers Turing machines, the halting problem, models of computation, intractable computations, polynomial reductions, P vs. NP, parallel algorithms, various formal descriptions and specifications of programs and computations, and proofs of program correctness and interactive proof systems.
Graded
|
| |
-
CIS 561 - Artificial Intelligence Credits 3
Lecture / 3 hours per week
Expert system architectures: forward-production, logic programming, deductive retrieval, and semantic network systems. The course also treats natural language systems, illustrative working systems, and AI programming.
Graded
|
| |
-
CIS 563 - Multi Agent Systems Credits 3
Lecture / 3 hours per week
Introduction to multiagent systems and distributed artificial intelligence. The course examines the issues that arise when groups or societies of autonomous agents interact to solve interrelated problems. Topics include defining multiagent systems and their characteristics, reasoning about agents’ knowledge and beliefs, distributed problem solving and planning, coordination and negotiation, the organization and control of complex, distributed multiagent systems, learning in multiagent systems, and applications in the following domains: internet information gathering, electronic commerce, virtual markets, workflow management, distributed sensing network, distributed planning and resource allocation.
Graded
|
| |
-
CIS 564 - Mobile Robotics Credits 3
Lecture / 3 hours per week
The theory, software and hardware for autonomous mobile robots. Reactive behavior-based, deliberative goal-based, and utility-based robotic architectures will be presented. Control and planning under bounded resources will be covered. Interaction with environment using sensors and actuators, robot kinematics and dynamics, reinforcement and evolutionary learning techniques for intelligent robots, interaction of competing and cooperating multi-robot systems will be presented. Various applications of mobile robots will be explored.
Graded
|
| |
-
CIS 565 - Evolutionary Computation Credits 3
Lecture / 3 hours per week
Presentation of evolutionary algorithms and comparison to traditional solving techniques. This course deals with a powerful new technique for solution of hard, intractable real-world problems, based on principles of natural evolution. Four main areas of evolutionary computation will be explored: genetic algorithms, genetic programming, evolution strategies, and evolutionary programming. Applications of evolutionary computation to related areas of computer science will be discussed.
Graded
|
| |
-
CIS 570 - Adv Computer Systems Credits 3
Lecture / 3 hours per week
In depth treatment of current computer systems, with performance issues at the center of an analytical approach. The course explores operating system software and the interrelation between architecture and system software. Advanced topics of compiling, assembly, linking and loading of high-level language software are included. The course treats mechanisms of IO and the memory hierarchy, various features of traditional machines, advanced features of modern machines such as RISC and multi-processor machines, and file systems and networked and distributed systems such as inter- and intra-nets. Throughout, performance issues are at the center of an analytical approach.
Graded
|
| |
-
CIS 571 - Compiler Construction Credits 3
Lecture / 3 hours per week
Different techniques for lexical analysis, syntax analysis, and object code generation. Emphasis on code optimization techniques and compiler-construction tools. The course will include a significant project.
Graded
|
| |
-
CIS 572 - Real Time Systems Credits 3
Lecture / 3 hours per week
Design and implementation of real-time systems. Implementation of real-time system in ADA, scheduling, fault tolerance, and distributed real-time systems are also studied.
Graded
|
| |
-
CIS 573 - Operating Systems Credits 3
Lecture / 3 hours per week
The methodologies of operating systems design and implementation. Concurrency, synchronization, process communication, switching control, deadlocks, implementation of dynamic structures, design of operating systems modules and interfaces, system security and integrity, and system updating and documentation are also studied.
Graded
|
| |
-
CIS 574 - Adv Comptr Architecture Credits 3
Lecture / 3 hours per week
Study of recent advances in computer organization. Parallel processors, pipelined processors, modular and network architectures data-flow machines, fault-tolerant systems, language-directed, object-based, capability-based, and message-based processor organizations.
Graded
|
| |
-
CIS 575 - Para Algorithm&Architect Credits 3
Lecture / 3 hours per week
Parallel algorithms and their implementations in parallel architectures. In the first part of the course parallel algorithms are analyzed for problems in graph theory, algebra, FFT, and artificial intelligence. The second part presents implementations of these algorithms in various parallel architectures.
Graded
|
| |
-
CIS 577 - Computer Networks Credits 3
Lecture / 3 hours per week
Analysis and modeling of centralized and distributed computer networks. Queuing network analysis, principles of network design, software considerations, and design of computer networks are also studied.
Graded
|
| |
-
CIS 578 - Eval Of Comp Sys Perform Credits 3
Lecture / 3 hours per week
Techniques of analysis and simulation for evaluation of computer systems performance. Queuing systems, Poisson processes, scheduling, service distribution, conservation laws, queuing networks, and discrete simulations are also studied.
Graded
|
| |
-
CIS 579 - Multimedia Networking Credits 3
Lecture / 3 hours per week
Current techniques in multimedia communications and networking. The course presents the communication requirements of the different types of multimedia applications, the operation of the different underlying communication networks as multimedia carriers, and the communication protocols associated with these networks and gives an overview of the various quality-of-service models, real-time transmission issues, and compression techniques.
Graded
|
| |
-
CIS 580 - Paradigmatic Sftware Dev Credits 3
Lecture / 3 hours per week
Software development in the context of various paradigms. The strategies and methods of the procedural, object-oriented, and functional paradigms are studied and practiced. The modeling of software processes will be considered from both the process and product views, as will the appropriateness and measures of effectiveness of these processes in the design of software systems. Students will apply these measures to the course exercises, determining and reviewing the impact of these methods on individual design.
Graded
|
| |
-
CIS 581 - Des & Verif Info Systems Credits 3
Lecture / 3 hours per week
Sound design methodologies and technologies in development and maintenance of information systems/business systems with special emphasis on workflow management systems. An applied course that emphasizes the formal approach, this course also addresses issues of adaptability and flexibility of information systems and their evaluation. The course supports concurrent execution of information systems during the design stage and adopts and applies various forms of Petri nets.
Graded
|
| |
-
CIS 582 - Advanced Software Engineering Credits 3
Lecture / 3 hours per week
Advanced topics in software engineering. This course examines technical aspects of software development life cycle and stresses a model driven approach to software engineering. Formal approaches to software modeling are covered and emphasized. The methodologies are introduced in the context of developing complex, critical and distributed software systems.
Graded
|
| |
-
CIS 585 - Image Process&Machne Vis Credits 3
Lecture / 3 hours per week
Foundations of image processing and machine vision. Students apply and evaluate topics such as edge detection, segmentation, shape representation, and object recognition. Stereo vision and motion analysis will be covered in detail including calibration, range images, change detection, motion correspondence, and 2-D and 3-D tracking. Important research papers will be discussed in class.
Graded
|
| |
-
CIS 588 - Neural Computing Credits 3
Lecture / 3 hours per week
Fundamentals of artificial neural networks including application needs for neural networks, discussing the various architectures, learning algorithms and examples of applications. The standard neural networks are discussed in greater details, which allows for branching of architectures and combining of strategies for growing and/or constructing neural networks.
Graded
|
| |
-
CIS 590 - Optical Networks Credits 3
Requirements: Prereq: CIS 475 or permission of instructorLecture / 3 hours per week
Analysis and design of optical network paradigms and architectures. Introduction to optical components, wavelength division multiplexing, evolution of optical networks, design and analysis of wavelength-routed networks, and optical packet-/burst-switched networks are addressed. Principles of network design, linear programming, protocol and algorithm design, discrete event simulation techniques, and queuing theory are also studied.
Graded
|
| |
-
CIS 595 - Independent Study Credits variable; 1.00 to 6.00
Independent Study
Study under the supervision of a faculty member in an area not otherwise part of the discipline’s course offerings. Conditions and hours to be arranged.
Graded
|
| |
-
CIS 596 - Directed Study Credits variable; 1.00 to 6.00
Independent Study
Study under the supervision of a faculty member in an area covered in a regular course not currently being offered. Conditions and hours to be arranged.
Graded
|
| |
-
CIS 600 - Master’s Project Credits variable; .00 to 3.00
Thesis
Provides an experience in the development of a detailed, significant project in computer science under the close supervision of a faculty member, perhaps as one member of a student team. This project may be a software implementation, a design effort, or a theoretical or practical written analysis. Public presentation of the master’s project and evaluation by two faculty other than the project supervisor are required.
Multi-Term Course: Not Graded
|
| |
-
CIS 601 - Special Topics Credits 3
Lecture / 3 hours per week
Offered as needed to present advanced material to graduate students.
Graded
|
| |
-
CIS 602 - Special Topics Credits 3
Lecture / 3 hours per week
Offered as needed to present advanced material to graduate students.
Graded
|
| |
-
CIS 603 - Special Topics Credits 3
Lecture / 3 hours per week
Offered as needed to present advanced material to graduate students.
Graded
|
| |
-
CIS 690 - Master’s Thesis Credits variable; .00 to 3.00
Thesis
Research leading to submission of a formal thesis. This course provides an optional thesis experience, which may be based on the student’s Project in a more intense form or be a sequel effort of a different character. In exceptional circumstances, the student may earn up to six thesis credits, if approved by the Graduate Program Committee. Graded
A-F.
Multi-Term Course: Not Graded
|
| |
-
DES 595 - Independent Study Credits 3
Independent Study
Study under the supervision of a faculty member in an area not otherwise part of the discipline’s course offerings. Conditions and hours to be arranged.
Graded
|
| |
-
DES 596 - Directed Study Credits 3
Independent Study
Study under the supervision of a faculty member in an area covered in a regular course not currently being offered. Conditions and hours to be arranged.
Graded
|
| |
-
DSC 499 - Capstone Project Credits 2
Lecture / 2 hours per week
Application of knowledge discovery and data mining tools and techniques to large data repositories or data streams. This project-based capstone course provides students with a framework in which students gain both understanding and insight into the application of knowledge discovery tools and principles on data within the student’s cognate area. This course is intended for data science majors only.
Graded
|
| |
-
DSC 520 - Computational Methods Credits 3
Requirements: Prerequisite: Approval of instructor and student’s graduate committeeLecture / 3 hours per week
Topics in high performance computing (HPC). Topics will be selected from the following: parallel processing, computer arithmetic, processes and operating systems, memory hierarchies, compilers, run time environment, memory allocation, preprocessors, multi-cores, clusters, and message passing. Introduction to the design, analysis, and implementation, of high-performance computational science and engineering applications.
Graded
|
| |
-
DSC 530 - Data Visualization Credits 3
Requirements: Prerequisite: DSC 520Lecture / 3 hours per week
Project-based course on advanced data visualization techniques. Topics may include: scalable visualization methods, multidimensional data analysis, network visualization, geospatial visualization, and interactive visualization. Ethical issues in data science.
Graded
|
| |
-
DSC 550 - Data Science Practicum Credits 3
Requirements: Prerequisite: Completed 18 credit hours of graduate coursework in data science majorLecture / 3 hours per week
A team-based learning experience that gives students the opportunity to synthesize prerequisite course material and to conduct real-world analytics projects using large data sets of diverse types and sources. Students work in independent teams to design, implement, and evaluate an appropriate data integration, analysis, and display system. Oral and written reports and ethical aspects are highlighted.
Graded
|
| |
-
EAS 501 - Advanced Mathematical Methods Credits 3
Requirements: Prerequisite: EGR 301Lecture / 3 hours per week
A graduate-level course on mathematical methods in science and engineering. Topics include: scalar and vector field theory, linear algebra, partial differential equations and integral transforms.
Graded
|
| |
-
EAS 502 - Numerical Methods Credits 3
Requirements: Prerequisite: EGR 301Lecture / 3 hours per week
Course on numerical methods in science and engineering. Topics will include: numerical analysis and methods (quadrature, optimization, matrices, root-finding, ODEs, PDES, Monte-Carlo), and an introduction to multigrid and parallel computing. Programming exercises using MATLAB and individual research projects are an essential part of the course.
Graded
|
| |
-
EAS 520 - High Performance Scientific Computing Credits 3
Requirements: Prereq: Approval of Instructor and student’s Graduate CommitteeLecture / 3 hours per week
Course covers an assortment of topics in high performance computing (HPC). Topics will be selected from the following: parallel processing, computer arithmetic, processes and operating systems, memory hierarchies, compilers, run time environment, memory allocation, preprocessors, multi-cores, clusters, and message passing.
Graded
|
| |
-
EAS 531 - Advanced Materials and Applications Credits 3
Requirements: Science and Engineering Majors OnlyLecture / 3 hours per week
Introduction to advanced materials, their properties, structures, modeling and applications in different areas. The materials include metals, ceramics, polymers, composites, semiconductors, nanomaterials, biomimetic materials, smart materials and cellular materials. Emphases are on the principles of chemical kinetics, bonding, molecular mechanics, quantum mechanics, electronic properties, surfaces and boundaries. Special attention will be given to novel materials applications in electrical, electronic, optical, mechanical, biomedical and civil engineering.
Graded
|
| |
-
EAS 557 - Geophysical Fluid Dynamics Credits 3
Lecture
Dynamics of rotating stratified fluid flow in the ocean/atmosphere and laboratory. Compressibility, Boussinesq approximation. Geostrophic balance and vorticity. Poincare, Kelvin, Rossby waves, Geostrophic Adjustment. Ekman layers, spin-up. Continuously stratified dynamics: inertia gravity waves, potential vorticity, Quasigeostrophic dynamics. MAR 557, MNE 557, PHY 557
Graded
|
| |
-
EAS 595 - Independent Study Credits variable; 1.00 to 9.00
Independent Study / 3 hours per week
Study under the supervision of a faculty member in an area not otherwise part of the discipline’s course offerings. Terms and hours to be arranged.
Graded
|
| |
-
EAS 596 - Directed Study Credits 3
Requirements: Prerequisite: Graduate standing; permission of instructor, graduate director and college deanOther / 3 hours per week
Study under the supervision of a faculty member in an area covered in a regular course not currently being offered.
Graded
|
| |
-
EAS 600 - Dissertation Proposal Preparation Credits 3
Requirements: Prereq: Must have passed Qualifying ExamLecture / 3 hours per week
Doctoral thesis proposal development based on technical writing process, data interpretation, experimental design. Students who successfully complete the course will be able to assess information from the primary scientific literature, formulate scientific questions (hypotheses), and generate an experimental plan to help validate or nullify their hypothesis. Students will demonstrate a command of oral and written communication skills by completing this course.
Graded
|
| |
-
EAS 601 - Pre-Dissertation Research Credits variable; .00 to 12.00
Requirements: Prereq: Approval of Instructor and student’s Graduate CommitteeOther / 3 hours per week
Research investigations of a fundamental and/or applied nature defining a topic area and preliminary results for the dissertation proposal undertaken before the student has qualified for EAS 701. With approval of the student’s graduate committee, up to 15 credits of EAS 601 may be applied to the 30 credit requirement for dissertation research.
Pass/Not Pass
|
| |
-
EAS 602 - Research Ethics Credits 1
Lecture / 1 hours per week
Introduction to the diverse ethical concerns, challenges and responsibilities that arise when engaging in scientific research. Students will have opportunities to reflect upon and discuss their own ethical constructs in the face of practical ethical dilemmas.
Graded
|
| |
-
EAS 604 - Doctoral Continuous Enrollment Credits 1
Requirements: Prereq: EAS PhD Students with approval of faculty advisor and EAS program director.Other / 1 hours per week
To remain in good standing in their program, all graduate students must maintain continuous enrollment each semester in their program from entry until graduation. This course allows those students who are not intending to register for any other courses during the current semester to continue in their program in good standing. Course may be repeated as needed.
Mandatory Pass/Fail & Excl Crd
|
| |
-
EAS 621 - Scientific Computational Research Seminar Credits 3
Requirements: Prereq: Approval of Instructor and student’s Graduate CommitteeSeminar / 3 hours per week
Students research a topic of their choice in scientific computing over two successive semesters. Research skills taught include literature and web searches, reading scientific papers, and organizing and keeping research records.
Graded
|
| |
-
EAS 622 - Scientific Computational Research Seminar Credits 3
Requirements: Prereq: Approval of Instructor and student’s Graduate CommitteeSeminar / 3 hours per week
Students research a topic of their choice in scientific computing over two successive semesters. Research skills taught include literature and web searches, reading scientific papers, and organizing and keeping research records.
Graded
|
| |
-
EAS 700 - Doctoral Seminar Credits 2
Requirements: Prereq: Doctoral candidateSeminar / 2 hours per week
A seminar series on interdisciplinary research topics by prominent speakers in EAS fields and student presentations on research in progress. May be repeated for credit.
Pass/Fail
|
| |
-
EAS 701 - Doctoral Dissertation Research Credits variable; 1.00 to 12.00
Requirements: Prereq: Successful completion of PhD comprehensive examination and approval of doctoral dissertation proposal by the student’s graduate committee.Other / 1 hours per week
Investigations of a fundamental and/or applied nature representing an original contribution to the scholarly research literature of the field. PhD dissertations are often published in refereed journals or presented at major conferences. A written dissertation must be completed in accordance with the rules of the Graduate School and the College of Engineering. Admission to the course is based on successful completion of the PhD comprehensive examination and submission of a formal proposal endorsed by the student’s graduate committee and submitted to the EAS Graduate Program Director.
Pass/Fail
|
| |
-
ECE 511 - Applicatns/Active Circ Credits 3
Lecture / 3 hours per week
Advanced analog design techniques with emphasis on using operational amplifiers. Topics include multi-pole transfer functions and stability, noise calculations, interfacing with digital circuits, and specialized analog applications. Problems are solved using numerical and circuit simulation software packages.
Graded
|
| |
-
ECE 521 - Random Signals&Systems I Credits 3
Lecture / 3 hours per week
Random variables and probabilistic description of signals and systems. The course provides the analytical tools for studying random phenomena in engineering systems and provides graduate students with an extensive treatment of probability theory, Bayes theorem, random variables, distribution and density functions, conditional distributions, moments, functions of random variables, characteristic functions, stochastic processes, Gaussian processes, stationary processes, correlation functions, power spectral density, response of systems to random inputs, mean square error estimation, filtering and prediction, and noise analysis. The course prepares students for a wide range of courses in communications, signal processing, acoustics, control, and other areas of engineering in which random signals and systems have an important role.
Graded
|
| |
-
ECE 523 - Digital Spectral Analys Credits 3
Lecture / 3 hours per week
Spectral estimation techniques with particular emphasis on performance/resolution tradeoffs. The course enables participants to understand spectral estimation and acquire a working knowledge of the spectral analysis techniques available, with a critical understanding of the advantages and limitations of all spectral estimation techniques studied. The student learns: (1) the limitations of Fourier transform based spectral estimators; (2) the benefits and limitations of high resolution methods; (3) how to choose accurate and appropriate models; (4) the “state-of-the-art” in modern spectral estimation; (5) how the modern spectral estimators perform in practice; (6) when to select each spectral estimation method.
Graded
|
| |
-
ECE 524 - Solid State Electronics Credits 3
Lecture / 3 hours per week
Solid state device behavior. Among the topics covered are semiconductor fundamentals, p-n junction theory, and both the bipolar and the field effect transistor. Emphasis is placed on those transistor parameters that need to be considered in VLSI and microwave applications.
Graded
|
| |
-
ECE 525 - Digital Filters Credits 3
Lecture / 3 hours per week
Design, simulation, and implementation of digital filters. After a review of classical FIR and IIR design techniques and modern AR, MA, and ARMA techniques, the course immerses the student in problem solving with digitized signals and DSP microprocessors. These problems include noise reduction, echo cancellation, signal detection, etc. Computer simulation is an integral part of the course, and students are expected to have some familiarity with small computer operating systems and assembly language programming concepts.
Graded
|
| |
-
ECE 527 - Act Remote Sensing Envir Credits 3
Lecture / 3 hours per week
Principles and applications of active remote sensing techniques. Course focuses on microwave and millimeter wave radar techniques.ÊTopics include radar equation, detection theory, scattering from targets and natural surfaces, and imaging systems. The following sensors are covered: synthetic aperture radar (SAR), radar scatterometers, altimeters, polarimetric radars and interferometric radars. Applications include ocean wave and wind measurements, soil moisture measurements, biomass measurements, measurement of land topography, and precipitation studies. Course also includes laboratory computer exercises for analyzing and processing real sensor data.
Graded
|
| |
-
ECE 528 - Pass Remot Sensing Envir Credits 3
Lecture / 3 hours per week
Principles and applications of passive remote sensing techniques. Course addresses the use of sensors such as thematic mappers, optical multispectral scanners,Êinfrared radiometers and multispectral microwave radiometers. The following sensors are covered: Thematic Mapper, SPOT, AVHRR, SSM/I and WINDRAD. Applications include ocean color and productivity measurements, ocean temperature measurements, salinity measurements, ocean wind measurements, marine pollution monitoring, and atmospheric measurements. Course also includes laboratory computer exercises for analyzing and processing real sensor data.
Graded
|
| |
-
ECE 532 - Radar Engineering Credits 3
Lecture / 3 hours per week
Fundamentals of microwave radar engineering and radar system analysis. The course covers the radar equation, radar detection theory, noise analysis, radar cross-section, continuous wave and pulsed systems, moving target indicators, pulse compression, radar transmitters and receivers. Also covered are radar systems such as pulsed Doppler radar, synthetic aperture radar (SAR), inverse synthetic aperture radar (ISAR), polarimetric radar and interferometric radar. Applications include target detection, radar remote sensing, satellite oceanography, and terrain mapping.
Graded
|
| |
-
ECE 533 - VLSI Design Credits 3
Requirements: Prerequisite: ECE 311Lecture / 3 hours per week
Design of Very Large Scale Integrated Circuits (VLSI), taught at the transistor level. Computer tools are used to create and simulate integrated circuit layouts. Levels of design automation covered include Full Custom layout, Schematic Driven layout, Standard Cells and fully automated synthesis of HDL code. Required readings from the current literature lead to a formal written report on recent developments in VLSI. Students are required to complete and present at least one project. Some designs may be fabricated.
Graded
|
| |
-
ECE 534 - RF Circuit Design Credits 3
Requirements: Pre-req: ECE 435Laboratory / 3 hours per week
Design and analysis of radio-frequency discrete components and integrated circuits. The course focuses on practical high frequency circuit techniques and physical understanding of active devices such as diodes and transistors. Topics include RF passive circuits and RF active circuits such as amplifiers, mixers, and oscillators. RF integrated circuit design will precede two design projects based on the Agilent ADS EAD package.
Graded
|
| |
-
ECE 535 - Analog Integrated Circuit Design Credits 3
Lecture / 3 hours per week
Introduction to the design of CMOS analog integrated circuits (IC’s), with occasional references to bipolar IC’s to make comparisons. Required readings from the current literature lead to a formal written report on recent developments in analog IC’s. Students are required to complete the design of a complex IC and make a class presentation of its design methodology and simulation results.
Graded
|
| |
-
ECE 536 - App Comp Electromagnetics Credits 3
Lecture / 3 hours per week
Numerical techniques for practical applications in electromagnetic scattering, propagation, and radiation. The course reviews fundamentals of electromagnetic field and wave theory and covers all basic classes of computational techniques used in modern applied electromagnetics. Numerical techniques include the method of moments, finite difference method, finite element method, and physical optics. Applications cover static and quasi-static problems, transmission lines, scattering, and antennas.
Graded
|
| |
-
ECE 537 - Antenna Theory Credits 3
Lecture / 3 hours per week
Antenna fundamentals, antenna arrays, and basic types of antennas for wireless communication. Mathematical solution of Maxwell’s equations for radiation problems is introduced. Basic antenna parameters are defined and discussed. Electrically small antennas are analyzed. Theory of receiving antennas is presented. Topics in antenna arrays include the array factor, pattern multiplication, multidimensional arrays, and phased arrays. Several types of antennas are studied, including wire and microstrip antennas.
Graded
|
| |
-
ECE 538 - Adv Antenna Engineering Credits 3
Lecture / 3 hours per week
Advanced antenna engineering concepts, with in-depth studies of analysis and synthesis techniques, broadband and aperture antennas, and antenna measurements. The synthesis of arrays and design of broadband antennas are presented. Topics in aperture antennas include Huygens’ equivalence principle, horn antennas, slot antennas, and large reflector antennas. The use of antennas as devices in wireless and radar systems is covered, along with antenna measurements. Integral equations for antenna current distributions are studied.
Graded
|
| |
Page: 1
| 2
| 3
| 4
| 5
| 6
| 7
| 8
| 9
| 10
| 11
|
Print this Page