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Biological Sciences |
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BIOL 5470 - Special Topics in Immunology (3)
The study of a variety of sub-disciplines, including host-parasite-environment relations. Recent topics in immunology are presented by students and staff members. Prerequisite(s): permission of instructor. Two lectures and one laboratory.
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BIOL 6040 - Individual Studies (3-9)
Doctoral individual study under the guidance of the graduate curriculum advisory committee which cannot be credited toward graduate degree programs of the Department of Biology. May be repeated as topics vary. Maximum hours nine (9) with three (3) registrations.
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BIOL 6100 - Frontiers in Molecular Science (3)
Survey of current research topics in cellular, developmental, and molecular biology. The use of molecular techniques to study cell structure and function is emphasized. Required of all Ph.D. candidates.
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BIOL 6110 - Individual Research (3-6)
Doctoral research of independent nature. Prerequisite(s): Candidacy admission to the Ph.D. Program. May be repeated twice for credit up to six (6) hours.
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BIOL 6150 - Genomics (4)
This course will provide students with an overview of genomes from viruses to vertebrates, as well as an introduction to genomics approach to fundamental problems in current biology. Specific areas that will be discussed include large scale sequencing projects, genomes structure and variation, comparative genomics, genome-wide analysis of genes and proteins. The course will familiarize student with current methods used in DNA microarrays and proteomic analysis. This course will be literature-lecture based, with lab exercises on microarray and protein 2 D gel separations and dample preparation for mass spectrometry. Prerequisite(s): permission of instructor.
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BIOL 6210 - Introduction to Neuropharmacology (3)
Course derived from three areas of pharmacology: 1) general principles, 2) pharmacology of drugs affecting cell growth, and 3) central nervous system pharmacology.
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BIOL 6560 - Techniques of Electron Microscopy (3)
Introduction to electron optics and types of electron microscopes. Techniques of tissue preparation, fixation, embedment, ultramicrotomy, staining, and EM photography are included. Prerequisite(s): Permission of instructor.
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BIOL 7010 - Seminar in Biology I (1)
Topics relevant to biology, biotechnology, and environmental science presented by faculty, visiting scholars and graduate students. Participating graduate students who have achieved candidacy status present one seminar per year. Both courses are required of all Ph.D. candidates in Biological Sciences. Candidates must register for 7010 and BIOL 7020 in their first two semesters of residency, unless they have not completed BIOL 5010 and BIOL 5020 or the equivalent, in which case they must register for these courses. Each course may be repeated once for an additional hour of credit. Prerequisite(s): BIOL 5010 and BIOL 5020 are prerequisites to 7010, and 7010 is a to BIOL 7020 .
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BIOL 7020 - Seminar in Biology II (1)
Topics relevant to biology, biotechnology, and environmental science presented by faculty, visiting scholars and graduate students. Participating graduate students who have achieved candidacy status present one seminar per year. Both courses are required of all Ph.D. candidates in Biological Sciences. Candidates must register for BIOL 7010 and 7020 in their first two semesters of residency, unless they have not completed BIOL 5010 and BIOL 5020 or the equivalent, in which case they must register for these courses. Each course may be repeated once for an additional hour of credit. Prerequisite(s): BIOL 5010 and BIOL 5020 are prerequisites to BIOL 7010 , and BIOL 7010 is a to 7020.
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BIOL 7120 - Molecular Biology (3)
A detailed introduction to prokaryotic and eukaryotic molecular biology. Most of the course focuses on the fundamentals of molecular genetics: the structure and function of the gene, genetic organization of chromosomes, the genetic code, the molecular mechanisms of transcription, RNA processing, translation, DNA replication and recombination, and the molecular mechanisms of transcription, RNA processing, translation, DNA replication and recombination, and the molecular mechanisms of regulation of gene expression and enzyme activity. The model systems studied include both prokaryotes (bacteria and bacterial viruses) and simple eukaryotes (yeast, slime molds, and animal viruses). Prerequisite(s): CHEM 5410 , CHEM 5420 . Required of all Ph.D. candidates.
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BIOL 7130 - Molecular Genetics (3)
An examination of the structure and function of gene systems in prokaryotes, eukaryotes and viruses. This course also explores the process of RNA editing and other regulatory circuits, including DNA repair, control of transcription, translation and post-translation events. Prerequisite(s): CHEM 5410 , CHEM 5420 .
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BIOL 7170 - Selected Topics in Molecular Genetics (3-6)
Current research interest in the areas of molecular genetics. May be repeated for credit as topics vary for no more than six (6) hours. Prerequisite(s): Consent of Doctoral Advisory Committee.
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BIOL 7180 - Advanced Cell Biology (3)
Molecular biology of animal cells with emphasis on assembly of cellular organelles, function and organization of membrane systems receptors, energy mechanisms, and secretion. Properties and functions of microfilaments and microtubules, Golgi apparatus, mitochondria, ribosomes, and the nucleus are considered also. Prerequisite(s): BIOL 5180 , CHEM 5410 , CHEM 5420 , or permission of instructor.
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BIOL 7190 - Advanced Molecular Biology (3)
A review of prokaryotic and eukaryotic molecular biology literature. Discussions involve defining the mechanisms and methods used to solve biological problems. Prerequisite(s): BIOL 7120 .
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BIOL 7260 - Neurobiology (3)
Principles and mechanisms of the nervous system in invertebrate and vertebrate organisms. Topics including neurotransmitters, effector control, integration, inhibition, and localized excitation are considered. A study of the ionic and electrical mechanisms involved in the generation and conduction of nerve impulses is also included. Prerequisite(s): Permission of instructor.
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BIOL 7270 - Selected Topics in Neurobiology (3-6)
Current research interest in the field of neurobiology. May be repeated for credit as topics vary for no more than six (6) hours. Prerequisites: Consent of the Doctoral Advisory Committee. Prerequisite(s): Consent of Doctoral Advisory Committee. May be repeated for credit as topics vary for no more than six (6) hours.
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BIOL 7410 - Selected Topics in Microbiology (3-6)
Current research interests in the various fields of microbiology. May be repeated for credit as topics vary for no more than six (6) hours. Prerequisite(s): Consent of Doctoral Advisory Committee. May be repeated for credit as topics vary for no more than six (6) hours.
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BIOL 8110 - Dissertation Research (1-9)
Individual research under the supervision of the advisor. The candidate must have an approved dissertation proposal. A minimum of three registrations is required with a maximum of nine hours per registration. Dissertation hours must total at least 24. Admission to candidacy and permission of advisor. Prerequisite(s): Admission to candidacy and permission of advisor. Required of all Ph.D. candidates.
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Biomedical Engineering |
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BMEN 5000 - Biomedical Instrumentation (3)
This course provides instructional materials on the biomedical instrumentation, physiological measurements and analysis of physiological signals. Basic theory of measurements, electrodes, sensors, transducer, data acquisition and electrical safety are covered. The emphasis is on the use of Biopac system for physiological measurements (such as EEG, ECG, EMG etc.), use of Matlab and/or LabVIEW tools in developing analysis and data interpretation tool. Prerequisite(s): Undergraduate Prerequisites Courses (or Equivalent): MATH 3120, ENGR 2000, 2001 and ENGR 2230. Lecture 3 Credits.
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BMEN 5010 - Introduction to Biomedical Engineering (3)
A multi-disciplinary course of biomedical engineering which include: ahistorical perspective, basics of anatomy and physiology, bio-electric phenomena, biomedical sensors, bio-instrumentation, bio-signal processing, hysiological modeling, skeletal muscle mechanics, cardiovascular mechanics, bio-materials, tissue engineering, biotechnology, radiation imaging, rehabilitation engineering and technology assisted therapies. Laboratory experiments for biomedical project design are also part of this course. Prerequisite(s): EECE 4600 or equivalent. Lecture 3 Credits.
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BMEN 5030 - Medical Imaging and Signal Processing (3)
This course covers the principal methods for representing, storing, processing, coding, transmitting and analyzing of biomedical images by means of digital computers. Sampling theorems, image transforms, image enhancement and restoration, frequency domain and spatial domain techniques, image coding and transmission, and image segmentation and description are discussed. Applications will be on MRI, CAT, Ultrasound etc. Prerequisite(s): EECE 4600 or equivalent.
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BMEN 5040 - Biomechanics (3)
An interdisciplinary course on Biomechanics covering topics such as: Biomechanics of solids, fundamentals of fluid mechanics, physiological fluid mechanics, mass transfer, bioheat transfer, the modeling approach to the study of physiological systems, biomaterials, the interaction of biomaterials and biomechanics, locomotion and muscle biomechanics, principles of electrophoretic separation, and application of MATLAB and/or LabVIEW tools in developing analysis and data interpretation. Prerequisite(s): Prerequisites (or Equivalent): MATH 3030 or 3120, ENGR 2120, or permission from the instructor. Lecture 3 Cr.
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Business Information Systems |
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BISI 5000 - Information Systems and Statistics (3) (not for graduate credit)
This survey course introduces students to information systems technology and its use as a business and management tool. It adopts an end-user oriented approach to the use, effects, development and management of information systems in organizations. In addition, the student is exposed to statistics with an emphasis on business and economic applications.
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BISI 6130 - Management and Evaluation of Information Systems (3)
This is a survey course of information technology (IT), and its impact and role in the business environment. Issues concerning the strategic, tactical, and operational uses of IT and information systems are examined. The challenges and the methods of managing IT are presented using the socio-technical approach. Types of information systems and their application within organizations are discussed through case studies. Prerequisite(s): BISI 5000 or equivalent.
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BISI 6250 - Decision Support Systems (3)
The key technical and managerial issues in the development and use of decision support systems in organizations are addressed. The strategic management decision making process and the role of DSS in the process are explored. Contemporary topics including Expert Systems, Executive Information Systems, data warehousing, data visualization, and Group Decision Support Systems are reviewed. Research effort is on the real life use of these technologies in specific business areas. Prerequisite(s): uctor’s consent.
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BISI 6300 - Business Telecommunications (3)
Provides a broad overview of the telecommunications field, the implications for business and industry and a current review of the research literature.
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BISI 6370 - Seminar in Information Systems (3)
Provides for the study of the current literature applicable to information systems technology. Topics investigated vary based upon current trends, issues, and problems that surface in the computing industry.
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BISI 6550 - Project Management & Analysis (3)
This course explores the techniques to successfully manage business projects. The topics covered include scope, time, cost, quality, human resource, communications, risk, integration and procurement management. The processes covered include initiating, planning, executing, controlling, and closing of projects. Students will have the opportunity to use current project management software.
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BISI 6750 - Contemporary Information Technologies (3)
This course introduces students to current IT related issues, technologies, and business applications. The range of topics include diverse topics such as local area networks, wide area networks, expert systems, decision support tools, e-commerce, and supply chain management. Students will also develop simple business applications using popular business software. Upon completion of the course, the student will have a good understanding of the role of various technologies in organizations.
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BISI 6800 - Strategic Information Systems (3)
This course explores the relationship between organizational strategies and the use of information systems that support those strategies. Case studies of successful and unsuccessful information system implementations will be used to show the importance of aligning information systems to business strategy.
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BISI 6990 - Independent Study (1-3)
This course is designed to provide graduate students an opportunity to investigate and learn about topics in Information Systems that they are interested in, but are not able to get in regular courses. The student will develop the requisite skills to conduct the research, and report the findings. The student, in conjunction with a BIS faculty advisor, will decide on the topic and the scope of the research. Prerequisite(s): Approval of instructor.
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Chemistry |
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CHEM 5000 - Advanced Inorganic Chemistry I (3)
Topics include atomic and molecular structure, bonding theories, molecular symmetry and group theory, chemistry of transition metals and organometallic complexes, and catalysis. Prerequisite(s): The following undergraduate course are required: CHEM 3220 (Physical Chemistry II), CHEM 4200, CHEM 4201 (Inorganic Chemistry I and Laboratory). Required of all degree candidates. Offered in the Fall Semester ONLY.
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CHEM 5010 - Advanced Inorganic Chemistry II (3)
Spectroscopic characterization of inorganic and organometallic compounds, and reaction mechanisms of inorganic, organometallic, and bioinorganic compounds. Prerequisite(s): CHEM 4210 (Inorganic Chemistry II) or CHEM 5000 . Offered in the Spring Semester ONLY.
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CHEM 5110 - Research (1-9)
A variable-credit course in methods of research and reporting in the field of chemistry. Only five hours are applicable toward degree requirements. Required of all degree candidates pursuing the thesis option. Offered every semester.
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CHEM 5120 - Thesis Writing (2)
Research and writing under the supervision of the thesis director. Once students have registered for this class, they must re-enroll in it every semester until they complete the thesis. Required of all degree candidates pursuing the thesis option. Offered every semester.
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CHEM 5210 - Advanced Organic Chemistry I (3)
A critical study of the structural theory of organic chemistry and advanced discussion of reaction mechanisms. Prerequisite(s): The undergraduate courses CHEM 2020, CHEM 2021 (Organic Chemistry II and Laboratory), CHEM 3220, CHEM 3221 (Physical Chemistry II and Laboratory). Required of all degree candidates. Offered in the Fall Semester ONLY.
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CHEM 5220 - Advanced Organic Chemistry II (3)
Synthesis of natural products. Prerequisite(s): CHEM 5210 or permission of the instructor. Offered in the Spring Semester ONLY.
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CHEM 5310 - Advanced Physical Chemistry I (3)
A broad discussion of the laws of thermodynamics, quantum mechanics, spectroscopy, and classical transport processes, as well as an introduction to statistical mechanics. Prerequisite(s): The undergraduate courses CHEM 3220, CHEM 3221 (Physical Chemistry II and Laboratory). Required of all degree candidates. Offered in the Spring Semester ONLY.
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CHEM 5320 - Advanced Physical Chemistry II (3)
A focus on quantum mechanics as it applies to chemistry, including molecular orbital theory and the relationship of quantum mechanics to molecular spectroscopy. Prerequisite(s): CHEM 5310 or permission of the instructor. Offered in the Fall Semester ONLY.
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CHEM 5360 - Chemical Kinetics (3)
Experimental and theoretical considerations of chemical reaction rates and mechanisms. Prerequisite(s): CHEM 5310 . Offered on demand.
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CHEM 5410 - Advanced Biochemistry I (3)
An in-depth study of the chemical and physical properties and biological functions of proteins, carbohydrates, lipids, and nucleic acids. Prerequisite(s): The undergraduate courses CHEM 3420 and CHEM 3421 (General Biochemistry II and Laboratory), or permission of the instructor. Offered in the Fall Semester ONLY.
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CHEM 5420 - Advanced Biochemistry II (3)
An in-depth study of the catabolic pathways, including their chemical reactions, energetics, and regulation. Prerequisite(s): CHEM 5410 or permission of the instructor. Offered inSpring Semester ONLY.
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CHEM 5510 - Advanced Analytical Chemistry (3)
A critical study of recent developments in chemical and instrumental methods of analysis. Prerequisite(s): The undergraduate courses CHEM 3220 and CHEM 3221 (Physical Chemistry II and Laborartory). Required of all degree candidates. Offered in the Spring Semester ONLY.
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CHEM 5600 - Spectroscopic Methods in Chemistry (3)
Various spectroscopic methods in chemistry, concentrating on the practical aspect of using spectroscopic techniques to solve structural problems. Techniques include ultraviolet spectroscopy, infrared spectroscopy, nuclear magnetic resonance (NMR) spectroscopy, including “two dimensional” (2D) NMR in solving problems, and mass spectrometry (MS). Prerequisite(s): The undergraduate courses CHEM 2020 and CHEM 2021 (Organic Chemistry II and Laboratory) or equivalent. Offered in the Fall Semester ONLY.
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CHEM 6005 - Seminar I (1)
Review and discussion of important current literature in the various areas of chemistry. Required of all degree candidates. Offered in the Fall Semester ONLY.
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CHEM 6006 - Seminar II (1)
Review and discussion of important current literature in the various areas of chemistry. Required of all degree candidates. Offered in the Spring Semester ONLY.
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CHEM 6200 - Biochemistry of Cellular Signal Transduction (3)
Study of the biochemical processes involved in cellular responses to signal molecules, such as hormones. The focus is on the mechanisms by which cells transform extracellular signals into changes in cellular function. Prerequisite(s): The undergraduate course CHEM 3410, CHEM 5410 , or permission of the instructor. Offered in the Fall Semester ONLY.
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CHEM 6405 - Special Topics in Analytical Chemistry (3)
Faculty-generated lecture courses on selected topics of current interest or student need. Offered on demand.
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CHEM 6406 - Special Topics in Biochemistry (3)
Faculty-generated lecture courses on selected topics of current interest or student need. Offered on demand.
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CHEM 6407 - Special Topics in Inorganic Chemistry (3)
Faculty-generated lecture courses on selected topics of current interest or student need. Offered on demand.
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CHEM 6408 - Special Topics in Organic Chemistry (3)
Faculty-generated lecture courses on selected topics of current interest or student need. Offered on demand.
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CHEM 6409 - Special Topics in Physical Chemistry (3)
Faculty-generated lecture courses on selected topics of current interest or student need. Offered on demand.
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CHEM 6500 - Cancer Biochemistry and Biology: (3)
An in-depth study of the biochemical and biological basis of cancer. Topics include biochemistry/biology of cellular oncogenes; growth factor receptors; tumor suppressors; angiogenesis; invasion and metastasis; and cancer treatment. Prerequisite(s): Permission of the instructor. Three hours of lecture per week. Offered in the Spring Semester ONLY.
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CHEM 6800 - Advanced Pharmacology (3)
An in-depth discussion of the principles of pharmacology and how it applies to the evaluation and development of drugs. Topics covered include pharmacokinetics, absorption, metabolism, distribution, transport mechanisms and clinical aspects. Prerequisite(s): The undergraduate course CHEM 3410. Offered in the Fall Semester ONLY.
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Computer Science |
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COMP 5100 - Software Engineering (3)
This course focuses on foundational concepts of software engineering including software processes and life-cycle models, software requirements and specifications, software design methodologies, software testing, maintenance, and cost analysis. Prerequisite: None.
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COMP 5200 - Advanced Algorithms Design and Analysis (3)
Analysis and design of advanced algorithms and data structures in many areas of computing including divide and conquer dynamic programming, greedy technique, graph algorithms, pattern matching, geometric algorithm, P and NP, and efficient approximation algorithms. Prerequisite(s): COMP 3040 and COMP 3200 or Equivalent.
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COMP 5300 - Advanced Computer Architectures (3)
This course introduces advanced computer architectures. It focuses on selecting and interconnecting hardware components to create a computer that meets functional, performance and cost goals, and teaches the qualitative and quantitative examination of computer design tradeoffs. It covers the system architecture, processor technology, advanced memory hierarchy and I/O organization, power and energy management, and reliability, and it further covers the new development in multicore, data center design, and parallel I/O. Prerequisite(s): COMP 2400 or Equivalent.
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COMP 5400 - Hybrid and Relational Databases (3)
This course presents relational, object-oriented, and hybrid database concepts. Topics include: definitions of objects and attributes, methods and messages, classes, object-oriented data models, architectural issues, the object-oriented database system manifesto, object-oriented database design, object-oriented database management systems, and object/relational database management systems. Prerequisite(s): None.
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COMP 5440 - Mobile Robotics (3)
This course provides students with hands-on experience in mobile robot design, implementation, and testing. It covers mobile robot topics such as robot hardware, robot sensing, actuation, embedded system programming, and algorithms for localization, path planning, and mapping. It briefly covers multi-robot systems. Students are expected to work in laboratory in teams to build and test increasingly complex mobile robots and compete in an end-of-semester robot contest. Prerequisite(s): COMP 5100 .
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COMP 5500 - Introduction to Data Science (3)
This course is an introduction to data science and the analysis of large data sets in order to draw insights and to extract information. The course covers using Python libraries for reading large data sets including Numpy and Pandas, reading input from standardized formats, calculating statistical measures from large data sets, linear regression, and evaluating model accuracy, precision and sensitivity. The course also covers logistic regression, unsupervised learning including k-means and hierarchical clustering, and time-series analysis with relational and non-relationship databases. It also covers sentiment analysis and recommendation systems. Prerequisite(s): None
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COMP 5520 - Introduction to High Performance Computing (3)
This course focuses on concepts of distributed system, concurrency control, files system, resource management in shared/distributed memory, and high-performance computing in different computing systems. The topics include computing in multiple-core computer, GPU, computer cluster, parallel computer, and synchronous/asynchronous computer networks. The problems of consensus, communication, resource allocation, synchronization, link/process failures in synchronous/asynchronous networks will also be discussed. Prerequisite(s): COMP 5200 .
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COMP 5600 - Mobile Applications Development (3)
This course provides comprehensive understanding of the principles of application design, implementation, and testing for mobile platforms (e.g. cell phones). Memory management, user interface design and implementation, data handling, networking, GPS and motion-based sensing are among the topics covered. Students are expected to work in teams to build and test increasingly complex mobile phone applications and compete in an end-of-semester contest. Prerequisite(s): COMP 5100 .
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COMP 5700 - Fundamentals of Computer Networks (3)
This course provides fundamental design principles of ATM, Internet, and local area networks; protocol layers and the Internet Architecture; medium access protocols; application protocols and TCP/IP utilities; basic principles and virtual circuit switching; naming and addressing; flow and congestion control protocols; routing algorithms; Quality-of-Service in computer networks; security issues in networks. Prerequisite(s): COMP 5100 .
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COMP 5720 - Cryptography and Computer Security (3)
This course introduces modern cryptography, focusing on the fundamental concepts of secure computation and communication in the distrustful environments, for instance, wireless networks, internet banking, satellite radio and more. The course uses an incremental approach. It starts with the mathematics background of cryptography. Then, it will discuss attack and threaten models and security goals and review the traditional cryptography. The course will mainly investigate the techniques of modern cryptography in design of private and public key encryption schemes, digital signatures, authentication and key management. Applications in network security will be discussed. Prerequisite(s): ENGR 5100 and COMP 5700 or Equivalent.
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COMP 5750 - Computer Network Management and Security (3)
This course presents various concepts of computer network management and tools. Topics include Network interfacing, measuring failures and availability, reliability, security, maintenance, network statistics, reconfiguration, and documentation. Prerequisite(s): COMP 5700 or Equivalent.
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COMP 5800 - Introduction to Bioinformatics (3)
Bioinformatics is an interdisciplinary field in which biology and computer science merge. This course is designed to introduce students with concepts, methods and tools to analyze biological problems, prepare students with skills necessary to communicate across the fields of computer science and biology. Topics include (but not limited to) biological sequence and literature databases, strategies to search these databases to solve fundamental biological problems, principle and algorithms used for processing and analyzing biological information.
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COMP 5850 - Data Visualization (3)
This course is an introduction to data visualization and the graphical representation of data. The growing data deluge from multiple sources require skills in representing data, in order to extract meaning and actionable intelligence from these data sets. Students learn how to communicate the relationship between data through systematic mapping between graphical representations and the underlying data values. The class teaches how representations of data can give insight and make data analysis easier. Prerequisite(s): None
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COMP 5900 - Special Topics (3)
This course is for teaching important emerging computer science topics that are not covered in other computer science courses. successful completion of at least 9 hours of COMP graduate courses. Prerequisite(s): successful completion of at least 9 hours of COMP graduate courses.
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COMP 5910 - Master of Science Thesis I (3)
Thesis topics to be selected in consultation with the chairman of thesis committee and approval of the department head. Students in specific concentration are required to work on thesis work in their corresponding concentration areas. Other students may complete a thesis work in other state-of-the-art areas of computer science. Prerequisite(s): Completion of at least 18 credits of graduate coursework.
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COMP 5920 - Master of Science Thesis II (3)
Continuation and completion of thesis and oral presentation defense. Prerequisite(s): COMP 5910
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COMP 6100 - Bioinformatics and Computational Biology (3)
This course is designed to introduce students with basic concepts, methods and tools to analyze biological information, algorithm design and programming skills for biology computing, and prepare students with knowledge and skills necessary to communicate and solve the problem across the fields of biology and computer science. Topics include fundamental knowledge of biology and bioinformatics, literature databases and tools for analysis and visualization, algorithm design, bioinformatics-oriented programming, and HPC of bioinformatics. Prerequisite(s): COMP 5800 .
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COMP 6200 - Machine Learning (3)
This course provides a broad introduction to machine learning, data-mining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI). The course will also draw from numerous case studies and applications, so that you’ll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas. Prerequisite(s): ENGR 5100 or Equivalent.
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COMP 6280 - Advanced Web Applications Development (3)
This course provides a comprehensive overview of web-based software architectures (e.g. JSP, ASP, Servlets, Web Services) and their applications. Students are expected to work in teams on a medium-scale web application development. Prerequisite(s): COMP 5400 .
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COMP 6300 - Advanced Software Engineering (3)
This course explores software engineering topics including software reuse, component-based software engineering, distributed software engineering, service-oriented architectures, embedded software development, aspect-oriented software engineering, advanced validation and verification methods, and configuration management. Prerequisite(s): COMP 5100 .
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COMP 6400 - Distributed Algorithm and Data Analysis 3
The course introduces the computing models and algorithms of distribution systems. The course also exposes students to an array of big data analysis theories, techniques, and practices in different fields of study using distributed models. The topics include distributed computing models, massage-passing and shared memory systems, design, and analysis of synchronous and asynchronous algorithms, fault tolerance, and data distribution, collection, processing, and analysis in distributed systems. This is a project-based course that provides students with hands-on experience in distributed computing with different data types. Prerequisite(s): COMP 5520/5200
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COMP 6700 - Network Programming and Computing 3
This is course provides students fundamentals of network programming and network computing. The course reviews connection and connection-less network protocols, Winsock socket programming, network protocols, multi client-server system, peer-to-peer models, networked computer communication and coordination through message passing and basics of cluster computing. Prerequisite(s): COMP 5700 or Equivalent
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COMP 6800 - Introduction to Computer Vision (3)
This course introduces the concepts and applications in computer vision. Topics include cameras and projection models, low-level image processing methods such as filtering and edge detection; mid-level vision topics such as segmentation and clustering; shape reconstruction from a stereo, as well as high-level vision tasks such as object recognition, scene recognition, face detection, and human motion categorization. Prerequisite(s): ENGR 5100 or Equivalent.
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COMP 6900 - Embedded Systems Programming (3)
In this project-based course, students will design and develop an application for an embedded systems platform, and then investigate low-level performance tuning and optimization. This course incorporates topics from the domains of software engineering, compilers, operating systems, and computer architecture, and provides students with the foundation they will need for addressing the concerns of developing real-world embedded systems. Prerequisite(s): C or Java Programming.
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Educational Administration |
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EDAD 5020 - Philosophy and Introduction to School Administration (3)
A general course designed to develop insight into the philosophy, history, and organization of schools. Prerequisite(s): Admission to M.Ed. program.
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EDAD 5030 - Instructional Leadership (3)
Designed to develop understanding of basic theories of supervision and supervisory procedures for improving instructional services. Prerequisite(s): Admission to M.Ed. program.
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EDAD 5040 - The Adult Learner (3)
This course is designed to (a) investigate the various problems related to adult learning; (b) enable students to acquire an understanding of different learning patterns of adults; (c) identify similarities and differences compared with the learning of youth; (d) understand how adult educators, through research and practice, are approaching solutions for these problems, and (e) understand how adult education programs are designed to serve the differentiated needs and uniqueness demanded by the adult learning situation. EDAD 5050. EDUCATIONAL LAW. (3) A study of legal principles that relate to such matters as authority, responsibility, and liability of school boards, districts, and state and federal organizations. The legal and ethical status of principals and teachers is also considered. Prerequisite(s): EDAD 5020 , EDAD 5030 , 5515, EDAD 5200 . EDAD 5640 , and 5516. Taken concurrently with EDAD 5090 and EDAD 5080 .
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EDAD 5050 - Educational Law (3)
A study of legal principles that relate to such matters as authority, responsibility, and liability of school boards, districts, and state and federal organizations. The legal and ethical status of principals and teachers is also considered. Prerequisite(s): Required for licensure candidates: EDAD 5020 , EDAD 5030 , EDAD 5200 , EDAD 5515 , EDAD 5516 , and EDAD 5640 . Licensure candidates are to take EDAD 5080 and EDAD 5090 concurrently.
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EDAD 5070 - Stress Management For Administrators (3)
Management of today’s schools results in increased stress upon educational leaders. Vital to successful teaching and administering is a knowledge of techniques for stress management.
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EDAD 5080 - Action Research for Educators (3)
This course provides educational leaders with a set of tools for engaging with significant problems in schools. Students will experience (a) collecting information, (b) conducting a diligent literature search and review, (c) reflecting critically, (d) making decisions and inquiring collaboratively, (e) investigating and data-analysis, (f) participating in interpretation, and (g) drawing conclusions, thus providing meaningful recommendations to stakeholders and equipping these leaders to “take action.” Action research may be engaged as a developmental process that systematically increases the scope of the investigation. The state required Capstone Action Research Project will be presented at the conclusion of this course. Prerequisite(s): Required for licensure candidates: EDAD 5020 , EDAD 5030 , EDAD 5200 , EDAD 5515 EDAD 5516 and EDAD 5640 Licensure candidates are to take EDAD 5090 and EDAD 5050 concurrently.
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EDAD 5090 - Assessment for Leaders (3)
The assessment for educational leaders’ course is designed to help instructional leaders develop acumen on assessment; an understanding of how students’ test scores should factor into making decisions that affect students and teachers; and the effects of federal legislation as a dominant force on assessment-based accountability. Prerequisite(s): Required for licensure candidates: EDAD 5020 , EDAD 5030 , EDAD 5200 , EDAD 5515 , EDAD 5516 , and EDAD 5640 . Licensure candidates are to take EDAD 5050 and EDAD 5080 concurrently.
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EDAD 5110 - Educational Research For The Practitioner (3)
A course designed to introduce the student to different methods for conducting educational research. The course emphasizes methodology, analysis, and interpretation of data. Also, technology as it applies to school administration is emphasized.
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EDAD 5180 - Principles and Techniques for Teaching Adults (3)
This course is designed to provide a sound background from research data about the principles, methodology and instructional competencies which underlie the areas referred to as Adult Education. These areas include: (a) teaching basic skills to adults; (b) teaching adults to develop new insights, attitudes, skills and habits; (c) teaching adults to develop new skills and habits for utilizing leisure-voluntary and force; (d) teaching the adult to develop positive attitudes toward an acceptance of aging, illnesses and death; and (e) teaching adult citizens skills of thinking and learning, group dynamics and functional democracy.
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EDAD 5200 - Human Resource Management (3)
This course is a study of human resources development practices in school systems, with emphasis on central office and school unit responsibilities for attracting, selecting, developing, evaluating, and retaining competent faculty and staff. Prerequisite(s): Required for licensure candidates: EDAD 5020 , EDAD 5030 , and EDAD 5515 . Licensure candidates are to take EDAD 5516 and EDAD 5640 concurrently.
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EDAD 5350 - Parental Involvement Education (3)
This course is designed for those educators who deal with parental involvement in education.
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EDAD 5390 - Community Resources (3)
This course is a study of the relationships between schools and communities. This course may be used for EDAD 5640 .
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EDAD 5420 - Community Organization (3)
This course is designed to introduce the principles and practices of community organization with emphasis on urban communities. This course may be substituted for EDAD 5640 .
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EDAD 5490 - Aspects of Aging (3)
Chief concern is with providing a basic understanding of the biological and psychological aspects of aging. Current theories of aging are also examined.
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EDAD 5515 - Administrative Internship-I (1)
The first section of a systematic study and analysis of the work of a principal or supervisor in a given school situation through seminar and field experiences. The student will learn how to develop and prepare a portfolio for licensure and employment purposes. This course should be taken in the first semester of enrollment for students seeking administrative licensure. Licensure students enrolling in EDAD 5515 must be concurrently taking EDAD 5020 and EDAD 5030 in the first semester.
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EDAD 5516 - Administrative Internship-II (1)
The second section of a systematic study and analysis of the work of a principal or supervisor in a given school situation through seminar and field experiences. The student will continue to prepare his/her professional portfolio and it will be evaluated in this course. This course should be taken in the second semester of enrollment for students seeking administrative licensure. Prerequisite(s): Required for licensure candidates: EDAD 5515 . Licensure students enrolling in EDAD 5516 must be concurrently taking EDAD 5200 and EDAD 5640 in the second semester.
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EDAD 5517 - Administrative Internship-III (1)
The third section of a systematic study and analysis of the work of a principal or supervisor in a given school situation through seminar and field experiences. The student will complete the professional portfolio. A final evaluation of the portfolio will take place. This course should be taken in the third semester of enrollment for students seeking administrative licensure. Prerequisite(s): Required for licensure candidates: EDAD 5020 , EDAD 5030 , EDAD 5050 , EDAD 5080 , EDAD 5200 , EDAD 5515 , EDAD 5516 , EDAD 5640 , EDAD 6200 , and EDCI 6100 , Licensure students are to take EDAD 5090 and EDAD 5720 concurrently.
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EDAD 5640 - School and Community Relations (3)
Explores the purpose and function of politics and community interactions at the local, state, and national levels as they affect public education. This is a school-community relationship course. Prerequisite(s): Required for licensure candidates: EDAD 5020 , EDAD 5030 , and EDAD 5515 . Licensure candidates are to take EDAD 5200 and EDAD 5516 concurrently.
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EDAD 5720 - School Finance (3)
A consideration of the financial support of elementary and secondary education, involving sources of income, methods of finance, and expenditures. The school finance problems of the local administrator are given special attention. Prerequisite(s): Required for licensure candidates: EDAD 5020 , EDAD 5030 , EDAD 5080 , EDAD 5090 , EDAD 5200 , EDAD 5515 , EDAD 5516 , and EDAD 6100 . Licensure students are to take EDAD 5517 , EDAD 6160 , and EDAD 6200 concurrently.
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EDAD 5910, 5920, 5930 - Problems and Projects in Education (3)
These are individual study courses and require special permission to sign up.
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EDAD 6000 - Statistical Analysis in Educational Leadership I (3)
This course offers training in the use of statistical tools for use in research and in understanding scientific literature. Emphasis is on inferential statistics. Prerequisite: Elementary statistics, e.g., as covered in EDAD 5110 . Must be taken in first semester of Ed.D. program.
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EDAD 6010 - Theory and Principles of Educational Administration (3)
A study of current theory and principles of educational administration. Prerequisite(s): Ed.S. Licensure program students must take in the first semester concurrently with EDAD 6060 and EDAD 6515. Taken in the first semester of the EdS. Licensure program and concurrently with EDAD 6060 and EDAD 6515 .
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