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2014-2015 Catalog [ARCHIVED CATALOG]

Course Descriptions

 

Other Courses
  
  

  • CAP 5431 - Medical Imaging Informatics

    Credits: 3

    Prerequisites: Graduate Standing
    Course Description: This course provides a broad and practical introduction to the major techniques employed in medical image processing: 3D and 4D medical imaging modalities, dilation and erosion, segmentation and thresholding, denoising, direct space filter kernels, Fourier-based filters, matching and morphing, artificial neural networks, self-organizing maps, principal component analysis. The course will be useful for graduate students in biomedical computing who wish to learn state of the art data mining and image vision techniques. Medical imaging related policies (DICOM, HIPPA compliance, data sharing) are also discussed.
  

  • CAP 5765 - Computational Data Analysis

    Credits: 3

    Prerequisites: STA 2023 - Statistics 1 
    Course Description: This course explores advanced topics in statistical data analysis and computability. It prepares students to perform big data analysis and organization using machine learning and data mining techniques and algorithms. Topics include: multivariate statistical methods, computational statistics, classification, clustering, prediction, regression analysis, and principal components analysis.
  
  

  • CAP 5781 - Complex Modeling, Forecasting Techniques and Web Analytics

    Credits: 3

    Prerequisites: COP 3729 - Database 2 , CAP 4770 - Data Mining & Text Mining , CAP 3774 - Data Warehousing , MAD 2104 - Discrete Mathematics 
    Course Description: Applying Big Data analysis techniques to the complexities of emergent and predictive analytics such as marketing issues, financial reporting, and stock market trading schemes. Advanced application of knowledge discovery, CRM systems, and modeling for trends and predictions are covered. Emphasis on mathematical methods such as deterministic and probabilistic operations research models for decision problems. Complex applications of web analytics are also covered.
  

  • CDA 3631 - Embedded Operating Systems

    Credits: 3

    Prerequisites: CDA 3100 - Computer Architecture , COP 2272c - Computer Programming 1  
    Course Description: Embedded Operating Systems or Real time operating systems are operating systems are designed to be compact, efficient, and reliable. Topics discussed include embedded architectures, interaction with devices, concurrency, real-time principles, implementation trade-offs, profiling and code optimization, embedded software.
  

  • CDA 4910 - Directed Research

    Credits: 3

    Prerequisites: Program director approval
    Course Description: This course supports students who wish to explore special interests in AT, beyond the Senior Design Project. Students will conduct intensive research and produce significant written documentation of an experiment, research exploration, or special interest project in technology. This course meets communication/writing-intensive requirements (W).
  

  • CIS 5616 - Advanced Business Intelligence Applications

    Credits: 3

    Prerequisites: COP 2272c - Computer Programming 1 , MAD 2104 - Discrete Mathematics , COP 3710 - Database 1  
    Course Description: Advanced design and implementation of decision support systems with emphasis on complexities of language, structures and processes involved in the management of information integration in computer-based technology and business-based software are covered in this course. Enterprise resources systems such as SAP, Oracle and SAS are also presented.
  

  • COP 4656 - Mobile Device Applications

    Credits: 3

    Prerequisites: COP 2272c - Computer Programming 1  
    Course Description: This course covers the evaluation, design, and creation of mobile device software. Mobile application genres and the various development tools, languages, and environments are also covered.
  

  • COP 5616 - High Performance Computing

    Credits: 3

    Prerequisites: COP 4520 - Introduction to Parallel and Distributed Computing  
    Course Description: Advanced topics in grid and cluster computing, parallel algorithms optimization, scalability studies, parallel languages, performance-oriented computing, concurrency, high performance scientific applications, virtualized HPC environments, memory hierarchies, and high throughput computing.
  

  • COT 5405 - Design and Analysis of Algorithms

    Credits: 3

    Prerequisites: Graduate Standing
    Course Description: Advanced and efficient algorithm design methods, topics include: greedy algorithms, genetic algorithms, graph algorithms, divide and conquer algorithms, algorithmic complexity analysis, and randomized algorithms.
  

  • COT 5462 - Integrative Biomedicine and Bioinformatics

    Credits: 3

    Prerequisites: Graduate Standing
    Course Description: This course introduces multi-scale algorithms and data processing strategies used in modern medical research. The emphasis is on the algorithmic foundation and on the development of software fragments that may assist students in future research or health industry projects. The course covers biophysical topics such as fast Fourier transform, computational geometry, diffraction theory, optics, and digital signal processing. The course also covers Bioinformatics and Systems Biology strategies for sequence analysis and the modeling of metabolic pathways. The application of these methods in the multi-scale analysis of biological specimens are discussed.
  

  • EEE 3396C - Fundamentals of Semiconductor Devices

    Credits: 3

    Prerequisites: EEL 3112c - Circuits 2 ,   
    Course Description: This course is an introduction to the internal operation, terminal characteristics, and material physics of semi-conductors. Transistors, diode models and applications are also discussed. The laboratory will reinforce technical lecture and complete group projects regarding the application of semiconductors to industry. Teams are required to give verbal and written technical and managerial reports.
  

  • EEE 4463L - MEMS

    Credits: 3

    Prerequisites: EEL 4XXXc - Physical Electronics
    Course Description: This course provides an introduction to MEMS-based microsystems with the focus on design and characterization of multidisciplinary microscale systems.
  

  • EEE 5353 - Advanced Semiconductor Devices

    Credits: 3

    Prerequisites: Understanding of semiconductor concepts, OR Consent of Instructor
    Course Description: The course is a more advanced examination of the physical phenomena of charge transport, diffusion and drift current, injection, lifetime, transient behavior, recombination and generation processes. It will also examine the p-n junction devices, FET’s, I-V, and frequency characteristics, MOS devices C-V, C-f, and I-V characteristics and operation of bipolar transistors and applications.
  

  • EEE 5427 - Advanced Characterization/ Fabrication

    Credits: 3

    Prerequisites: Permission of Program Director
    Course Description: The course will discuss advanced interdisciplinary micro/nano fabrication and processing technology, process design, theory and application for process integration, sensitivity processes, imaging and related testing and interdisciplinary applications.
  

  • EEE 5507 - Advanced Digital Signal Processing

    Credits: 3

    Prerequisites: Permission of Program Director
    Course Description: This course focuses on advanced structures and techniques for advanced digital signal processing (digital signal processing and their properties in relation to application requirements); for example real-time, low bandwidth, and low-power operation. Topics include: Hilbert transform relations, Optimal FIR filter design, time-dependent Fourier transform and filter banks, cepstral analysis and de-convolution, parametric signal modeling, multi-rate signal processing, and multidimensional signal processing.
  

  • EEE 5935 - Special Topics/ Current Trends in Technology and Innovation

    Credits: 3

    Prerequisites: Graduate Standing
    Course Description: This course will expose students to the current research topics in technology and innovation. Lectures will be based on: literature review methods, scientific writing techniques and structure, industrial and academic guest lecturers, themed research paper surveys, and student presentations. The college’s concentrations will be especially emphasized in the chosen topics.
  

  • EEL 3287 - Renewable Energy Systems and Sustainability

    Credits: 3

    Prerequisites: Permission of program director
    Course Description: Renewable Energy Systems will discuss a wide range of energy topics, while reflecting on interdependencies and intersections of the various physical or virtual mechanisms and how the hybridization of technologies will produce new opportunities. Some of the topics discussed include harvesting, parasitics, renewability, sustainability, smart grid and infrastructure integration.
  

  • EEL 3477 - Magnetics

    Credits: 3

    Prerequisites: EEL 3470 - Electromagnetic Fields and Applications  
    Course Description: This course describes the behavior of magnetic phenomena. Students will calculate magnetic fields for various steady current configurations and learn properties of magnetic fields and Maxell’s equations.
  

  • EEL 3687 - Active Video and Embedded Control

    Credits: 3

    Prerequisites: COP 2272c - Computer Programming 1  
    Course Description: This course covers the scientific principles and concepts of active video and embedded control. Students will have opportunities to apply these methods.
  

  • EEL 4290 - Sustainability for Engineering, Technology, and Entrepreneurship

    Credits: 3

    Prerequisites:
    Course Description: This course discusses entrepreneurship, engineering, and technology development that accounts for society’s growing needs for sustainability in all aspects of our infrastructure and society.  Entrepreneurship plays a key role in how these technologies are deployed and made accessible, while supporting appropriate and fair opportunities for economic development (capacity building).
  

  • EEL 4390C - Interdisciplinary Rapid Prototyping

    Credits: 3

    Prerequisites: COP 2272c - Computer Programming 1 , or permission of program director
    Course Description: This course discusses the emerging field of rapid prototyping which includes subjects related to rapid fabrication, rapid application development, 3D printing and others.  It will also discuss the interdisciplinary nature of this type of technology and how it can be integrated to rapid prototyping systems.
  

  • EEL 5308 - Keystone Hybrid Devices and Systems

    Credits: 3

    Prerequisites: EEL 4300 - Hybrid Devices and Systems  or equivalent
    Course Description: The course focuses on the advanced integrated techniques to fabricate hybrid devices and systems. It also examines the impact of the subject on interdisciplinary industry applications and other related courses.
  

  • EEL 5391 - Mobile Health Technology and Innovation

    Credits: 3

    Prerequisites: EEL 4302 - Hybrid Digital System Applications  or equivalent
    Course Description: The exploration of the development and deployment of innovative Mobile Health System applications for enhanced management and accessibility to health services and resources for the global community.
  

  • EEL 5455 - Magneto-optics

    Credits: 3

    Prerequisites:   
    Course Description: This course evaluates magnetics, electrical and optical interaction with low and high energies.
  

  • EEL 5474 - Advanced Magnetics

    Credits: 3

    Prerequisites: EEL 3470 - Electromagnetic Fields and Applications  or equivalent
    Course Description: Deeper examination of magnetic phenomena. Calculate magnetic fields for various steady current configurations. Learn properties of magnetic fields and Maxell’s equations and applications.
  

  • EGN 4905 - Independent Study

    Credits: 1-3

    Prerequisites: Undergraduate standing, permission of program director, and qualified faculty member to act as course instructor.
    Course Description: This is an individualized undergraduate course directed by a faculty member and undertaken by a student without regular classroom instruction. The student is required to create with a faculty member a schedule of academic activities to investigate a specific technology, which results in specified graded deliverables.
  

  • EGN 4930 - Engineering & Technology Special Topics

    Credits: 1

    Prerequisites: Senior Standing
    Course Description: This course is an open forum to discuss new technical topics of interest to engineering and technology students. Topics are variable and based upon new developments in engineering, technology, and science.
  

  • EGN 5422 - Functional Analysis

    Credits: 3

    Prerequisites: Differential equations or equivalent
    Course Description: This course provides an introduction to the basic concepts of functional analysis required in the modern study of partial differential equations, Fourier analysis, quantum mechanics, probability and many other fields. Metric spaces and their basic properties, Hilbert spaces, linear functional and duality are also covered.
  

  • EGN 5429 - Mathematical Analysis 1

    Credits: 3

    Prerequisites: Graduate Standing and consent of instructor
    Course Description: Application of analytical methods to engineering problems, Differential equations, series solutions of differential equations (special functions), boundary-value problems and characteristic function representation, Laplace transforms, Fourier analysis, partial differential equations, formulating and solving problems in engineering for systems of differential equations and partial differential equations, complex analysis.
  

  • EGN 5430 - Mathematical Analysis 2

    Credits: 3

    Prerequisites: Graduate Standing and consent of instructor
    Course Description: Analysis of engineering mechanics by matrix theory and complex variables; introduction to numerical techniques, Linear algebra, matrix computations, systems of differential equations, eigenvalue problems, iterative solution of systems of algebraic equations, numerical methods for ordinary and partial differential equations, systems of nonlinear equations, optimization.
  

  • EGN 5645 - Product Innovation

    Credits: 3

    Prerequisites: None
    Course Description: Management and coordination of the development life cycle of the product from concept to deployment. This will also include the sustainable product life cycle impact in the market place.
  

  • EGN 5915 - Research Methods

    Credits: 3

    Prerequisites: Graduate Standing
    Course Description: Research methods used in STEM programs at the graduate level are covered in this course. It is a hands-on class: students develop a research proposal in an area of their choice. Students identifying their thesis research topic and plan their work.
  

  • EGN 5950 - Professional Project 1

    Credits: 3

    Prerequisites: Permission of Program Director
    Course Description: Students will conduct a literature review and develop a proposal for a technical project under the supervision of graduate faculty. The project should facilitate engagement with both academic and professional communities, and STEM related industries. A successful project will explore, evaluate and extend creative uses of emerging methods, models and processes.
  

  • EGN 5951 - Professional Project 2

    Credits: 3

    Prerequisites: Permission of Program Director
    Course Description: This course is a continuation of EGN 5950 - Professional Project 1 . Students will continue to conduct a literature review and develop a proposal for a technical project under the supervision of graduate faculty. The project should facilitate engagement with both academic and professional communities, and STEM related industries. A successful project will explore, evaluate and extend creative uses of emerging methods, models and processes.
  

  • EGN 5971 - Thesis 1

    Credits: 3

    Prerequisites: Permission of Program Director
    Course Description: Students will explore and conduct original research on a topic, under the guidance of a faculty member, in a selected concentration. The thesis project should make a significant contribution to the body of knowledge of the field. The student must submit a thesis proposal approved by a thesis committee and must successfully defend the work in a public venue. The thesis project should facilitate engagement with both academic and professional communities, and STEM related industries. The work should contribute to the respective knowledge bases of the communities and fields. A successful project will explore, evaluate and extend creative uses of emerging methods, models and processes.
  

  • EGN 5972 - Thesis 2

    Credits: 3

    Prerequisites: EGN 5971 - Thesis 1  
    Course Description: This is a continuation of EGN 5971 - Thesis 1 . Students will continue to explore and conduct original research on a topic, under the guidance of a faculty member, in a selected concentration. The thesis project should make a significant contribution to the body of knowledge of the field. The student must submit a thesis proposal approved by a thesis committee and must successfully defend the work in a public venue. The thesis project should facilitate engagement with both academic and professional communities, and STEM related industries. The work should contribute to the respective knowledge bases of the communities and fields. A successful project will explore, evaluate and extend creative uses of emerging methods, models and processes.
  

  • EGS 5037 - Ethics

    Credits: 1

    Prerequisites: Graduate Standing
    Course Description: This course covers ethics and communication in STEM fields. Students apply classical moral theory and decision making to engineering applications encountered in academic and STEM careers.
  

  • EGS 5626 - Engineering Project Management

    Credits: 3

    Prerequisites: None
    Course Description: This course will provide students with an exposure to the tasks and challenges facing today’s projects and in particular, those of the project manager to adhere to project scope, budget, time constraints while balancing project risks and rigorous quality demands. 
  

  • EGS 5930 - Special Topics/ Current Trends in Engineering

    Credits: 3

    Prerequisites: Graduate Standing
    Course Description: This course will expose students to the current research topics in engineering. Lectures will be based on: literature review methods, scientific writing techniques and structure, industrial and academic guest lecturers, themed research paper surveys, and student presentations. The college’s concentrations will be especially emphasized in the chosen topics.
  

  • EIN 4243 - Human Factor and Society Impact

    Credits: 3

    Prerequisites: None
    Course Description: This course covers the optimization of the relationship between technology and humans. Human characteristics, behaviors, and factors associated with designing products and creating work environments that boost productivity while minimizing safety issues are also covered. Additional topics, include ergonomics, workplace safety, human error, product design, human capability, and human-computer interaction.
  

  • EMA 3810 - Collaborative Simulation

    Credits: 3

    Prerequisites: MAP 2302 - Differential Equations 
    Course Description: This course covers modeling and simulation including continuum methods, atomistic and molecular simulation as well as quantum mechanics. Students will have opportunities to apply these methods. Additional topics include modeling & simulation development process, fidelity, accuracy, and resolution of models, verification & validation, systems modeling language (SysML), simulation methodologies, system engineering life cycle, simulation ROI, and standards.
  

  • EMA 5533 - Advanced Nanoscale Characterization

    Credits: 3

    Prerequisites: None
    Course Description: This course will cover the theory, operation, and maintenance of common nanoscale characterization instruments. Teams will also learn how to identify instrument vendors in a marketplace, develop bid requirements, technically evaluate bids, plan for adequate site infrastructure, and present written and oral reports of findings.
  

  • EMA 5534 - Advanced Instrumentation

    Credits: 3

    Prerequisites: EMA 3530c - Introduction to Instrumentation and Characterization  or equivalent
    Course Description: The course provides an advanced inductive learning approach towards theory and real world experimentation utilizing instrumentation and characterization tools. In addition the processes for inferring experimental values, error in the system and other mechanisms. Principles of designing experiments, and validation of methods. Emphasis on proper interpretation of data from experiments and communicating results, including how subtle differences in wording and interdisciplinary applications.
  

  • EMA 5812 - Molecular Modeling and Simulation

    Credits: 3

    Prerequisites: Graduate Standing
    Course Description: This course provides a broad and practical introduction to the major techniques employed in the computational modeling of molecular structures on the nano-scale: computational chemistry, molecular dynamics, normal mode analysis, Monte Carlo simulations, electrostatics, and conformational analysis. The course will be useful for graduate students in the pharmaceutical and medical disciplines, or in nanotechnology and material science, who wish to model the physical and chemical properties of molecular structures.
  

  • ENT 2112 - Entrepreneurial Opportunity Analysis

    Credits: 3

    Prerequisites: None
    Course Description: In this course, students assess the personal attributes, as well as the skills base, professional talent, and educational and work experiences within an organization that are necessary to create successful business ideas. Students examine the external environment to identify trends and needs in the marketplace for potential business opportunities. Each individual has the opportunity to screen potential business ideas by assessing whether or not these compliment the individual and his/her organization based on an evaluation of its strengths and skills base, as well as the student’s personal, professional, and financial goals. Students develop initial market feasibility analyses to test their concepts through basic market research.
  

  • ENT 3605 - Innovation Design

    Credits: 3

    Prerequisites: Permission of program director
    Course Description: This course will discuss market analysis, industry trends, feasibility studies, project planning, business plans, product innovation, deployment plans and target community uptake of a product or service will interact to result in a successful outcome of an innovation design process and strategy.
  

  • ENT 5016 - Entrepreneurship and New Venture Creation

    Credits: 3

    Course Description: This course teaches students how to launch a competitive technology startup from idea generation to building Minimum Viable Product (MVP) to raising seed capital. It fosters a student team’s ability to launch entrepreneurial venture. Over the course of a semester, students will work in teams, and with Silicon Valley and local partners to launch a company and pitch to venture capitalists with a prototype product or MVP. All skills needed to become a successful entrepreneur will be covered, including team-building, product development, product-market fit, customer validation, financial modeling, technology viability assessment, business plan development, venture capital, full life cycle strategy, venture launch etc. This is a hands-on, deep-dive course which requires true dedication and time commitment.
  

  • ENT 5930 - Innovation and Emerging Technologies

    Credits: 3

    Course Description: This course will expose students to the current research topics in emerging technology and innovation. Lectures will be based on: literature review methods, feasibility studies, scientific writing techniques and structure, industrial and academic guest lecturers, themed research paper surveys, and student presentations. Special topics are based on the concentrations currently offered at both College of Engineering and College of Innovation and Technology. Some of these topics are 3D printing, crowd sourced gaming, mobile health systems, Cloud Computing, nanotechnology, renewable energy technologies etc.
  

  • ENV 3618 - Infrastructure Sustainability and Renewable Development

    Credits: 3

    Prerequisites: Permission of program director
    Course Description: This course will be a project based course and discuss the interaction of infrastructure, community resources, environment, energy systems, strategies for sustainability and cultural dynamics. The strategies and implementation planning will consider economic models and development practices locally and globally.
  

  • ENV 4610 - Sustainable Logistics

    Credits: 3

    Prerequisites: None
    Course Description: This course introduces students to current and future trends in logistics technology, policy, and sustainability. Topics include resource sustainability, environmental impacts of existing and emerging technologies and local environmental conditions and the global climate.
  

  • MAN 5245 - Organizational Behavior & Leadership

    Credits: 3

    Course Description: An investigation of ethical problems in business practice. Topics include personal morality in profit-oriented enterprise; codes of ethics; obligations to employees and other stakeholders; truth in advertising; whistle-blowing and company loyalty; regulation, self and government; the logic and future of capitalism. Emphasis on business law and legal impacts on ethical decision making.
  

  • MAP 5436 - Applied Math for Engineers

    Credits: 3

    Prerequisites: None
    Course Description: This course covers probability, random processes, statistics, differential equations, special functions, Laplace and Fourier transforms for students with a level of mathematical maturity and experience comparable to that normally found in entering graduate students. The course will emphasize application of analytical methods to practical problems.
  
  

  • SLS 1106 - First Year Experience

    Credits: 1

    Prerequisites: None
    Course Description: This course is a weekly seminar designed to support freshman students in their transition to college. Meetings are held in and out of class for students to bring up any personal, academic or administrative concerns they have during their first semester in college. For the more advanced students, this course offers mentorship for those who wish to work on complex problems and projects early in their academic careers.

Accounting
  

  • ACG 2021 - Principles of Financial Accounting

    Credits: 3

    Prerequisites: None
    Course Description: This course is an introduction to the principles of financial accounting and focuses on wealth and income measurement and the preparation and interpretation of financial statements. The recording and reporting of financial activity, balance sheets, income statements, changes in equity, cash flows, underlying assets, liabilities, and equities are also presented.
  

  • ACG 2071 - Principles of Managerial Accounting

    Credits: 3

    Prerequisites: ACG 2021 - Principles of Financial Accounting 
    Course Description: This course covers tools used by management for cost reporting and control including statements, analytical tools, and reports.
  
  

  • GEB 3373 - International & Comparative Dimensions of Business

    Credits: 3

    Prerequisites: Junior or senior standing in the Science and Technology Program
    Course Description: Enterprises, markets, institutions, firm competitiveness, industry globalization, international business transactions, and entry strategies are discussed from a cross-cultural and international perspective.

American History
  

  • AMH 2020 - American History Since 1877

    Credits: 3

    Prerequisites: None
    Course Description: This course presents a survey of the emergence of modern America as an industrial and world power; the Progressive Era; WWI; the Great Depression and the New Deal; WW II; and the Cold War era. This course meets communication/writing-intensive requirements (W).

Applied Information Technology
  

  • CAP 4733 - Systems Acquisition, Integration and Implementation

    Credits: 3

    Prerequisites: None
    Course Description: This advanced course covers critical thinking and problem solving techniques applied to information systems. Fundamentals and complexities associated with learning and applying the methods for creating a system development and implementation (S-DIP) plan are also covered. The course includes materials and exercises for students to develop skills in the domain of systems acquisition, integration, and implementation through applied system development and planning, and application lifecycle management. 
  

  • CGS 2091 - Legal, Ethical, and Management Issues in Technology

    Credits: 3

    Prerequisites: None
    Course Description: This is an intermediate level course intended to prepare students for legal and ethical issues they will encounter in their professional careers and student internships. The course focuses on management oriented technology issues in the legal and business environment, professionalism, and the impact of technology on society. The course also covers service-based learning.
  

  • CIS 1000 - Introduction to Innovation and Technology

    Credits: 3

    Prerequisites: None
    Course Description: This is an introductory level course intended to prepare students for the more complex courses they will encounter in their academic careers, by introducing foundational  technology concepts and principles. The course is also intended to orient students to the various majors and concentration tracks in the I & T College.
  

  • CIS 4320 - Design Science

    Credits: 3

    Prerequisites: None
    Course Description: This course introduces students to the paradigm of Design Science and the Information Systems Research Cycle (ISRC). Students will learn to apply ISRC to solve real business problems via the IT Artifact using methods, models and theories to design, evaluate and deliver IT solutions. This course meets communication/writing-intensive requirements (W).
  

  • CNT 3502 - Data Communication

    Credits: 3

    Prerequisites: CIS 1000 - Introduction to Innovation and Technology 
    Course Description: Fundamentals of data communication, including network architectures, communication protocols, transmission standards, internet, and distributed computing are covered. Basic concepts of network management systems, including fundamentals of standards, models, languages, network management systems architectures and protocols as well as SNMP based protocols that manage TCP/IP networks are also discussed. Broadband network management systems and Web-based network management systems tools and applications are presented.
  

  • CNT 4403 - Data Security

    Credits: 3

    Prerequisites: COP 3530 - Data Structures & Algorithms , MAD 2104 - Discrete Mathematics , COP 2271c - Introduction to Computation and Programming 
    Course Description: Access control systems, telecommunications and network security, security management practices, application and systems development security, cryptography, disaster recovery planning, legal and ethical issues, and physical security are covered in this course. Special topics include Network Security, Cryptography, Access Control, Security Architecture and Models, Applications and Systems Development, and Vulnerability Assessment.
  

  • COP 3834 - Web Application Development

    Credits: 3

    Prerequisites: COP 2271c - Introduction to Computation and Programming  
    Course Description: Topics include: Client-side programming, distributed transactions, remote procedure calls, component objects, server side programming and network load balancing. Methods such as HTML5, CSS, JavaScript, XML, PHP, Python, and Ruby Rails are introduced.
  

  • QMB 3200 - Advanced Quantitative Methods

    Credits: 3

    Prerequisites:   
    Course Description: Advanced concepts in statistical analysis. Linear models and experimental design, multiple regression analysis, analysis of variance with multiple classification, analysis of covariance, repeated measures analysis of variance, multiple comparison techniques, and diagnostic procedures and transformations are discussed in this course.

Art History
  

  • ARH 2000 - Art Appreciation

    Credits: 3

    Prerequisites: None
    Course Description: Introduction to the artistic experience through the examination of different ideas, approaches and purposes of art. This course meets communication/writing-intensive requirements (W).

Big Data Analytics
  

  • CAP 4XXX - Advanced System Development and Production

    Credits: 3

    Prerequisites: CAP 4733 - Systems Acquisition, Integration and Implementation  
    Course Description: This course is a second course in system design and development, focusing on the production readiness review process of an already vetted system development plan. As such the course assumes experience with project management, system analysis and design, and high level programming experience. Students will utilize the system design and implementation plan created in CAP 4733 Systems Acquisition, Integration, and Implementation. This is an advanced course covering critical thinking and problem solving techniques applied to information systems, and the fundamentals and complexities associated with software development and acquisition.
  

  • CAP 3774 - Data Warehousing

    Credits: 3

    Prerequisites: COP 3710 - Database 1  
    Course Description: Fundamentals of building and populating a data mart to support the planning, designing and building of business intelligence applications and data analytics are covered in this course.
  

  • CAP 4763 - Advanced Topics 1: Forecasting, Modeling, Web Analytics

    Credits: 3

    Prerequisites:  ,  
    Course Description: Applying Big Data analysis techniques to marketing issues, financial reporting, and stock market prediction trading schemes. Knowledge discovery, CRM systems, and modeling for trends and predictions. Use of mathematical methods such as deterministic and probabilistic operations research models for decision problems. Methods of optimization for models will be analyzed both analytically and numerically. Web analytics includes: Creating models and using processes for measurement, collection, analysis and reporting of internet data for purposes of understanding and optimizing web usage as well as the use of tools to measure web traffic and application to business and market research are covered in this course. Assessment for improving web site effectiveness and methods for companies to measure results and estimate web traffic are also covered.
  

  • CAP 4764 - Advanced Topics 2: Data Center Design & Large Data Sets

    Credits: 3

    Prerequisites: CAP 4763 - Advanced Topics 1: Forecasting, Modeling, Web Analytics  
    Course Description: Application of a variety of analytical tools from the curriculum used for solving real world problems, with the focus on identifying the problem, constructing an appropriate model, and finding the best available method to solve it. Topics include data center design, working with large data sets and mining information from text, including scalable supervised and unsupervised machine learning methods, visualization and extraction. Other topics covered include: Discovering heuristic rules from large data sets, handling special data types, creating methods, procedures and models for extracting and sorting large amounts of unstructured data.
  
  

  • CAP 5734 - Systems Acquisition, Integration and Implementation

    Credits: 3

    Prerequisites: None
    Course Description: This course provides a study of the software acquisition process. The following subjects are discussed: SDLC, CMM, Cost Estimation, Risk Assessment and Management, Quality, Testing, Traceability, ERP, and Business Process Modeling. The course emphasizes methods and techniques for analyzing alternative software solutions to meet organizational needs. This course is part of the COIT core for all graduate students.
  

  • CIS 5XXX - Advanced Applied Information

    Credits: 3

    Prerequisites: Knowledge of database fundamentals, Statistics and modeling, computer programming.
    Course Description: This course covers historical and modern approaches of knowledge management (KM), knowledge discovery (KD), data analytics (DA), and information retrieval (IR). This is an advanced level course and is focused on direct application of the principles and methods of information science theories and model building. Students are exposed to a variety of commercial data analytic tools for visualization and analysis techniques.
  

  • CIS 44XX - Business Intelligence III

    Credits: 3

    Prerequisites: CTS 4452 - Business Intelligence II  
    Course Description: The course explores Web Services Architecture and methods for implementing communication of systems and software over distributed networks. Topics include: Client-side programming, distributed transactions, remote procedure calls, component objects, server side programming and network load balancing.
  

  • CIS 2005 - Fundamentals of Applied Information

    Credits: 3

    Prerequisites: None
    Course Description: This course covers the concepts of knowledge management (KM), knowledge discovery (KD), data analytics, and information retrieval (IR). This is an introductory level course designed to familiarize students with the principles and fundamentals of information science theories and methods. The course is intended to introduce and explain foundations that students will need to be able to use and master in their upper level courses, internships and careers.
  

  • CIS 3301 - Business Intelligence

    Credits: 3

    Prerequisites: COP 3710 - Database 1  
    Course Description: This course discusses the application of decision support systems in the organizational environment. Designing and implementing decision support systems with a variety of development systems as well as language, concepts, structures and processes involved in the management of information systems including fundamentals of computer-based technology and the use of business-based software for support of managerial decisions are also covered. Emphasis will be placed on enterprise resources systems such as SAP and SAS.
  

  • COP 3710 - Database 1

    Credits: 3

    Prerequisites: COP 2271c - Introduction to Computation and Programming  
    Course Description: The use of Structured Query Language (SQL) and broad knowledge of database design, implementation, and systems development are presented in this course. Emphasis is places upon data modeling concepts, approaches and techniques, and stages in database development processes (conceptual, logical and physical design).
  

  • COP 3729 - Database 2

    Credits: 3

    Prerequisites: COP 3710 - Database 1  
    Course Description: Datacenter infrastructure and management including technologies such as: virtualization, networking, server consolidation, green IT computing, and network storage configurations are discussed. The utilization of virtualized platforms, networking and infrastructure configurations as well as the deployment, analysis and management of applications are also presented.
  

  • CTS 4452 - Business Intelligence II

    Credits: 3

    Prerequisites: CIS 3301 - Business Intelligence  
    Course Description:

    This is an advanced course is business intelligence applications such as SAP, HFM and SAS. This course is designed to lead to a certification level in one of the major ERP systems.

Biology
  

  • BSC 1010 - Biology 1

    Credits: 3

    Prerequisites: None
    Co-requisite: BSC 1010L Biology 1 Laboratory  
    Course Description: In this course students will study the chemistry of life, cell structure and function, photosynthesis, cellular respiration genetics, evolution, and the diversity of life. This course meets communication/writing-intensive requirements (W).
  

  • BSC 1010L - Biology 1 Laboratory

    Credits: 1

    Co-requisite: BSC 1010 Biology 1  
    Course Description: Students will participate in laboratory experiments designed to reflect the topics presented in BSC 1010. This course meets communication/ writing-intensive requirements (W).

Chemistry
  

  • CHM 2045 - Chemistry 1

    Credits: 3

    Prerequisites: MAC 1147 or the equivalent, or passing grade in CHM 1025
    Co-requisite: CHM 2045L - Chemistry 1 Laboratory 
    Course Description: This course covers stoichiometry, atomic and molecular structure, the states of matter, reaction rates and equilibria.
  

  • CHM 2045L - Chemistry 1 Laboratory

    Credits: 1

    Prerequisites: None
    Co-requisite: CHM 2045 - Chemistry 1  
    Course Description: Students will participate in laboratory experiments designed to reflect the topics presented in CHM 2045 . This course meets communication/writing-intensive requirements (W).

Cloud Systems
  
  

  • CEN 5XXX - Advanced Concepts in Virtualization 2

    Credits: 3

    Prerequisites: Permission of Program Director
    Course Description: This is an applied course in the principles, methods, and technologies of Cloud Computing. Upon completion of this course students should be able to create, configure, build, deploy and manage a variety of cloud based solutions.
  

  • CEN 4083 - Advanced Concepts in Virtualization

    Credits: 3

    Prerequisites: Must be a junior in standing, Permission of Instructor
    Course Description: This is an applied course in the principles, methods, and technologies of Cloud Computing. Upon completion of this course students should be able to create, configure, build, deploy and manage a variety of cloud based solutions.
  
  
  

  • CNT 3200 - Distributed Information Systems

    Credits: 3

    Prerequisites: CIS 1000 - Introduction to Innovation and Technology , COP 3710 - Database 1 
    Course Description: This course discusses server based operating systems which are deployed, administered and managed via remote locations. Emphasis is placed upon the hardware required for interconnecting digital devices for the purpose of enabling data communication through a network. Bus architectures, ports, network cards, cabling, routers, switches are also covered. Ensuring network reliability and optimizing network performance are presented.
  

  • COP 5727 - Advanced Database Development

    Credits: 3

    Prerequisites: COP 2272c - Computer Programming 1  or equivalent, COP 3834  or equivalent
    Course Description:

    Datacenter infrastructure and management including technologies such as: virtualization, networking, server consolidation, green IT computing, and network storage configurations are discussed. The utilization of virtualized platforms, networking and infrastructure configurations as well as the deployment, analysis and management of applications are also presented.
  

  • COP 5819 - Advanced Web Application Development

    Credits: 3

    Prerequisites: COP 2271c - Introduction to Computation and Programming  or equivalent
    Course Description: Client-side programming, distributed transactions, remote procedure calls, component objects, server side programming and network load balancing. Methods such as HTML5, CSS, JavaScript, XML, PHP, Python, and Ruby Rails are introduced.
  

  • CTS 2375 - Cloud Implementation Strategies and Cloud Providers

    Credits: 3

    Course Description: This course discusses the strategic management of the cloud environment and considerations for leveraging cloud providers for Infrastructure as a Service (Iaas), Platform as a Service (Paas), and Software as a Service (SaaS). Course content emphasizes mechanisms for relating virtual resources to underlying physical resources, system monitoring, security administration, scalability, and cost analysis. Current and emerging cloud providers will be surveyed and analyzed in regard to implementing a specific cloud solution, use of contemporary cloud management tools, and articulating issues involved in migrating to a cloud environment are presented.
  

  • CTS 4817 - Advanced Web Services

    Credits: 3

    Prerequisites: COP 2272c - Computer Programming 1  
    Course Description: The course explores Web Services Architecture and methods for implementing communication of systems and software over distributed networks. Topics include: Client-side programming, distributed transactions, remote procedure calls, component objects, server side programming and network load balancing.
  

  • CTS 5377 - Advanced Cloud Implementation Strategies and Cloud Providers

    Credits: 3

    Prerequisites: CIS 1000 - Introduction to Innovation and Technology  or equivalent
    Course Description: This course discusses the strategic management of the cloud environment and considerations for leveraging cloud providers for Infrastructure as a Service (Iaas), Platform as a Service (Paas), and Software as a Service (SaaS). Course content emphasizes mechanisms for relating virtual resources to underlying physical resources, system monitoring, security administration, scalability, and cost analysis. Current and emerging cloud providers will be surveyed and analyzed in regard to implementing a specific cloud solution, use of contemporary cloud management tools, and articulating issues involved in migrating to a cloud environment are presented.
  

  • CTS 5378 - Advanced Cloud Applications

    Credits: 3

    Prerequisites: None
    Course Description: Examples of topics in this course include, clusters, nodes, network reliability and optimizing performance.
  

  • CTS 5828 - Advanced Web Services 2

    Credits: 3

    Prerequisites: Permission of Program Director
    Course Description: The advanced concepts presented in this course include how to deploy, configure, manage, monitor, and troubleshoot Web Administration tools. Emphasis is placed upon web server administration processes, user authentication, protocol management, file transferring, and data encryption.
 

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