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Engineering: Mechanical |
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EML 5554 - Reverse Engineering and Design for Manufacturing
Credits: 3
Prerequisites: EGN 5470 - Advanced Engineering Math
Course Description: Students will complete a reverse engineering exercise that includes the acquisition and tear-down of an “old” product. The reverse engineering exercises will result in translating high level product attributes to detailed level product requirements and specifications. With detailed reverse engineering models and requirements student teams will generate multi-variable design performance equations and perform optimization analysis to find balance points between cost, time, performance and reliability. Design for manufacturing techniques will then be utilized to “redesign” the chosen product specifically for appropriate manufacturing and assembly techniques such as injection molding, machining, robotic assembly, and human assembly. Students will then create physical models and prototypes of components and systems for design verification and validation purposes.
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EML 5725 - Computational Fluid Mechanics
Credits: 3
Course Description: The present course covers finite difference methods and finite volume methods; error and stability analysis; applications to model equations and further developments. Development of governing equations; turbulence modeling; numerical solution of Euler and potential equations, Navier-Stokes equations, and boundary layer equations and grid generation.
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Engineering: Support |
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EGS 3441 - Engineering Statistics
Credits: 3
Prerequisites: MAC 2311 - Analytic Geometry and Calculus 1 with a minimum grade of a C
Course Description: The basic concepts in probability and statistics with engineering applications. Topics include probability, discrete and continuous random variables, estimation, hypothesis testing, and linear and multiple regression.
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EGS 3625 - Engineering & Technology Project Management
Credits: 3
Prerequisites: None
Course Description: This course discusses planning, controlling, and evaluating technology and engineering projects. Topics include modeling, project organization, risk analysis, technical forecasting, time and cost estimation and accommodation, and resource allocation and leveling. Verbal and written technical and managerial reports are also required.
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EGS 5930 - Special Topics
Credits: 1-3
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.
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EGS 5933 - Special Topics
Credits: 1-3
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.
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English Composition |
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ENC 1101 - English Composition 1: Expository and Argumentative Writing
Credits: 3
Prerequisites: None
Course Description: This course focuses on the principal elements of writing clearly, efficiently and effectively. Logical arguments, building research skills and developing critical thinking through reading, writing and discussion are also presented. This course meets communication/writing-intensive requirements (W).
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ENC 2210 - Technical Writing
Credits: 3
Prerequisites: ENC 1101 - English Composition 1: Expository and Argumentative Writing
Course Description: This course focuses on the forms, formats, and genres of business, government, professional, and technical communication. Students are given opportunities to practice creating proposals, reports, applications, and resumes. This course meets communication/writing-intensive requirements (W).
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ENC 4260 - Advanced Study in Technical and Professional Writing
Credits: 3
Prerequisites: C or better in ENC 2210 - Technical Writing and in an approved humanities or social science course.
Course Description: This course explores advanced technical writing strategies and problems specifically geared towards STEM majors that emphasizes strong written and verbal communication strategies and field-specific concerns including research, ethics, data visualization, organization and planning of team-produced texts, and practice producing documents in field-specific genres.
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Entrepreneurship |
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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.
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ENT 3001 - Foundations of Entrepreneurship 1
Credits: 3
Prerequisites: EGN 1007 - Concepts and Methods for Engineering and Computer Science
Course Description: This course is the first in a four-course series designed to prepare the student to understand the most important aspects of turning an idea, technology or passion into a business. This course focuses on the entrepreneur’s relationship to the customer. This includes identifying customers, defining and refining a value proposition, and defining channels through which customers can buy the product or service.
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ENT 3002 - Foundations of Entrepreneurship 2
Credits: 3
Prerequisites: ENT 3001 - Foundations of Entrepreneurship 1
Course Description: This course is the second in a four-course series designed to prepare the student to understand the most important aspects of turning an idea, technology or passion into a business. This course focuses on the developing a business. This includes defining a business model, determining how to monetize the product, developing the initial product and planning to scale the business.
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ENT 4117 - Business Fundamentals for Entrepreneurs
Credits: 3
Prerequisites: None
Course Description: Business Fundamentals for Entrepreneurs is an advanced level course. In this course you engage in a deep dive in to the planning of a business. In the first half of the course we will go over basic startup skills like understanding corporate structures and financial literacy. In the second half of the course we will go through how to finance your business and the legalities behind your business. By the end of this course you should come out with an advanced understand of the skills needed to start a business.
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ENT 4947 - Startup Execution
Credits: 3
Prerequisites: None
Course Description: Startup Execution is an advanced concepts course. This course will require students to develop a project using the principles of Lean Startup, SCRUM, design thinking, and agile thinking. This course reinforces the skillset learned the previous three entrepreneurship courses and is designed to be a practicum of these skills. This course will help students master the Agile and Lean way of thinking to translate into whatever projects they do either in existing companies or startups.
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ENT 5016 - Entrepreneurship and New Venture Creation
Credits: 3
Prerequisites: None
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.
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ENT 5930 - Innovation and Emerging Technologies
Credits: 3
Prerequisites: None
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.
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Environmental Engineering Science |
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EES 4102 - Wastewater Microbiology
Credits: 3
Course Description: General concepts in microbiology and cell biology with major emphasis on the role of microorganisms in polluted environments.
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Finance |
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FIN 2000 - Introduction to Business Finance
Credits: 3
Prerequisites: None.
Co-requisite or Prerequisite: None.
Co-requisite: None.
Course Description: This course is an introduction to the principles of business finance. Emphasis is placed on understanding basic finance concepts. The major topics of study include the concept of money, the monetary system, capital markets, time value of money, savings & investment, interest rates, fiscal policies, short-term and long-term financing, and stocks and bonds.
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FIN 2001 - Introduction to Business Finance
Credits: 3
Prerequisites: ACG 2020 - Accounting for Managers or ACG 2021 - Principles of Financial Accounting
Course Description: This course is an introduction to the principles of business finance. Emphasis is placed on understanding basic finance concepts. The major topics of study include the concept of money, the monetary system, capital markets, time value of money, savings & investment, interest rates, fiscal policies, short-term and long-term financing, and stocks and bonds.
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General Business |
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GEB 3373 - International & Comparative Dimensions of Business
Credits: 3
Prerequisites: None
Course Description: Enterprises, markets, institutions, firm competitiveness, industry globalization, international business transactions, and entry strategies are discussed from a cross-cultural and international perspective.
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Geography: Information Science |
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GIS 3043C - GIS for Environmental Studies
Credits: 2
Course Description: Geographic Information Systems (GIS) technology for environmental analysis. GIS theory with training using ArcGIS, including environmental analysis and practical examples.
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General History and Historiography |
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HIS 3930 - Special Topics in History
Credits: 3
Prerequisites: ENC 1101 - English Composition 1: Expository and Argumentative Writing and an approved 2000-level writing-intensive humanities or social science course.
Course Description: This variable topics course emphasizes the analysis of primary documents, the evaluation and integration of secondary sources, and the production of written and oral communication. This course requires research, extensive reading, and writing assignments.
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Health Information Management |
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HIM 2340 - Development and Administration of Health Information Systems
Credits: 3
Prerequisites: None
Course Description: This course focuses on using health information systems to support managerial decision-making. Implementation methods are discussed for the integration of clinical, personnel, and financial data collection, administration and dissemination. This course is taught from an organizational perspective and is designed to develop managerial decision making skills.
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HIM 3490 - Introduction to Health Systems Engineering
Credits: 3
Prerequisites: MAC 2311 and STA 2023
Course Description: This course focuses on the fundamental principles of healthcare systems engineering examining system processes and design using quantitative tools to perform analyses and decision making in the context of healthcare from a systems perspective. Key components of the health care system including Healthcare policy, laws and ethics as well as performance measures including healthcare delivery, patient flow, patient safety, and cost-effectiveness modeling.
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HIM 3514 - Health Systems Modeling and Optimization
Credits: 3
Prerequisites: MAC 2311 and STA 2023
Course Description: This course focuses on continuous improvement in healthcare through mathematical and computational modeling. Key components include Lean thinking in health care operations, health logistics capacity management, optimization, scheduling and information management.
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HIM 4016 - Policy Issues in Health Informatics
Credits: 3
Prerequisites: None
Course Description: This course covers regulatory, political, cultural and ethical issues as applied to national, agency, organizational and individual healthcare services and alternative delivery methods.
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HIM 4064 - Survey of the US Health Care System
Credits: 3
Prerequisites: None
Course Description: This course covers historical and current foundations in the US health care system. The discussions focus on the most current emerging issues.
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HIM 4484 - Advanced Topics 1: Consumer and Population Health Informatics
Credits: 3
Prerequisites: HIM 4064 - Survey of the US Health Care System
Course Description: A comprehensive examination of healthcare needs, access, and use factors. In-depth analysis of supply and distribution of health professionals and facilities; and critical review of current issues pertinent to health care services with focus on care costs, quality assessment and financial models of care in both private health insurance systems and governmental programs.
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HIM 4644 - Implementation of EHR/EMR and Clinical Support Methods
Credits: 3
Prerequisites: COP 3710 - Database 1
Course Description: This course is an in-depth study of the clinical information system processes, models and alternatives. Discussions focus on the most current emerging trends in electronic health records, including social, ethical, economic and cultural impacts of choices.
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Humanities |
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HUM 2020 - Introduction to the Humanities
Credits: 3
Prerequisites: ENC 1101 - English Composition 1: Expository and Argumentative Writing with a C or better.
Course Description: This course provides a general introduction to the humanities by focusing on selected areas of study within the field. Through the examination of particular historical periods, cultures, or themes, the course will examine the relationship between different types of cultural production (such as art, literature, drama, architecture, music, film, television, etc.) and society, politics, history, and/or values. The instructor determines the breadth and focus of this survey. Completed with a grade of “C” or better, this course serves to complete part of the writing intensive course requirements. It also satisfies the general education Humanities State Core requirement. (W)
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HUM 2022 - Explorations in the Humanities
Credits: 3
Prerequisites: None
Course Description: This selected topics course explores the intersections between science, technology, and society as evidenced in history, literature, art, philosophy, ethics, rhetoric, or other disciplines in the humanities. Topics may vary. (W)
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HUM 3930 - Special Topics in the Humanities
Credits: 3
Prerequisites: ENC 1101 - English Composition 1: Expository and Argumentative Writing and an approved 2000-level writing intensive humanities or social science course (grade of C or better).
Course Description: This variable topics course in humanities may include critical analysis in any combination of art, architecture, drama, music, literature, philosophy, religion and/or history of various cultures. The course requires evaluation and integration of primary and secondary sources and the production of written and oral interpretive arguments.
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Industrial Engineering |
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EIN 3390 - Manufacturing Processes
Credits: 3
Co-requisite or Prerequisite: EGN 3365 - Structure and Properties of Materials
Course Description: This course introduces the fundamental workings of a variety of manufacturing processes. Analysis of a manufacturing process, its capabilities, typical applications, and its advantages and limitations focuses on production of simple and complex components. The topics highlighted in this course are; material selection, measurement and quality control, non destructive inspection techniques/ evaluation (NDT/ NDE), material removal using conventional and non traditional machining processes, casting, forming, joining, and the integration of these techniques into a manufacturing system.
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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.
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Industrial Systems Engineering |
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ESI 3005 - Introduction to Networks and a Connected World
Credits: 3
Prerequisites: COP 2271C - Introduction to Computation and Programming and
Computer Engineering/Electrical Engineering students STA 3032 - Probability and Statistics
Computer Science students STA 2023 - Statistics 1
Course Description: Networks are deeply integrated in all aspects of our lives such as social networks, network of communication devices, the internet of things, transportation system and logistics or the network of brain cells. In this course, networks will be viewed from a graph theory perspective including directed and undirected graphs, paths, cycles, loops and trees. The course will focus on the spatial and the temporal nature of the network elements across different modes. Path flow estimation, route choice as well as link cost functions and the equilibrium principle will be discussed. The course will emphasize modeling of intelligent mobility networks by working on a class project.
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ESI 4011 - Data Analytics for Smart City & Transportation
Prerequisites: ESI 3005 - Introduction to Networks and a Connected World or CNT 3004C - Introduction to Computer Networks
Course Description: This course focuses on design strategies, simulation techniques, and data analytics to strengthen the knowledge of existing cities, and understand the needs and requirements of future cities through a data driven analysis. Smart cities utilize information and communication technologies to enhance the quality and performance of transportation, utility and energy services from cost and consumption perspectives. The course explains how smart cities operate in a controlled and monitored network environments and discusses techniques to work with data generated by transportation and communication networks, crowd-sensing systems and other relevant technologies.
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ESI 4513 - Intelligent Mobility
Credits: 3
Prerequisites: COP 2271C - Introduction to Computation and Programming
Course Description: Intelligent Mobility involves the application of advanced technologies to connect people, places, and goods. This course provides students with necessary understanding of smart and intelligent technologies that facilitate research, design, adoption and evaluation of advanced automation and connected vehicles. The emerging capabilities of automation technologies and their early deployment along with the various techniques of enterprise data management will also be discussed.
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ESI 5315 - Optimization and Simulation
Credits: 3
Prerequisites: None
Course Description: This course familiarizes the student with frequently used models in Operations Research. Such models include decision analysis; optimization techniques, and Discrete-Event Simulation. Course is supplemented with real world examples and cases.
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Interdisciplinary Computing |
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IDC 3610 - Security, Privacy, Legal, and Ethical Issues in Cyber Physical Systems
Credits: 3
Prerequisites: MAD 2104 - Discrete Mathematics
Course Description: This course is intended to prepare students to recognize ethical and professional responsibilities and the impact of engineering solutions in global, economic, environmental, and societal contexts, and recognize the security, privacy, legal, and ethical issues in Cyber physical systems.
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IDC 4942 - Data Analytics Capstone I
Credits: 3
Prerequisites: Senior-level Status
Course Description: This course is part one of the Senior Capstone sequence for data science and business analytics. This advanced course covers critical thinking and problem solving techniques applied to data analytics projects. The goal of this course is to carry out an industry-relevant project in applied data science and business analytics that synthesizes concepts from data acquisition, analytics, visualization, data management, and modeling.
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IDC 4943 - Data Analytics Capstone II
Credits: 3
Prerequisites: IDC 4942 - Data Analytics Capstone I
Course Description: This course is part two of the Senior Capstone sequence for data science and business analytics. This advanced course covers critical thinking and problem solving techniques applied to data analytics projects. The goal of this course is to carry out an industry-relevant project in applied data science and business analytics that synthesizes concepts from data acquisition, analytics, visualization, data management, modeling, and application development and deployment. Students will complete intensive research and produce significant written documentation of the project.
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Interdisciplinary Sciences |
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ISC 4420 - Introduction to Bioinformatics
Credits: 3
Prerequisites: BSC 1010 - Biology 1 and COP 2271C - Introduction to Computation and Programming
Course Description: This is an introduction to the theory and practice of Bioinformatics and Computational Biology; Emphasizing the use of computer databases to store, retrieve and assist in understanding Biological Information.
Topics covered will included:
1. DNA Sequence Assembly and Patterns
2. Protein Modeling and Alignments
3. Genomics and Proteomics
4. Expression Array Analysis
5. Phylogenetics and Systematics
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ISC 4930 - Special Topics -Applied Studies
Credits: 3
Prerequisites: Consent of department head and instructor
Course Description: This course investigates a topic of special interest to faculty and students that is outside regular course offerings.
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Interdisciplinary Studies |
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IDS 1380 - Introduction to STEM
Credits: 3
Prerequisites: None
Course Description: This foundational course provides practical mathematical application to problems in engineering, computer science, and related STEM disciplines. All STEM applications will be presented within the context math topics and reinforced through extensive examples of their use in the core STEM courses. This course is designed to put the application first and then apply the mathematics to model or simulate it with hand calculations and/or computer software. Student will focus on their ‘habits of mind’ to consciously practice problem solving techniques, exercise best practice formats, and implement software that will provide the foundation for future success in a STEM curriculum.
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IDS 2144 - 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.
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IDS 4204 - Advanced Topics in Energy & Sustainability
Credits: 3
Prerequisites: Approval from the course instructor
Course Description: Contemporary topics in Energy and Sustainability. Seminars and lectures from industry, academia, government and other stakeholders. Students are required to work on individual or team assignments, research projects and present their work in the format of mini seminars.
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IDS 4930 - Applied Liberal Studies Seminar
Credits: 3
Prerequisites: Students must have completed 9-credits toward the Applied Liberal Studies Certificate with at least 3 credits at the 3000-level (note exception for transfers).
Course Description: This is a variable topics seminar that addresses a STEM-related topic or theme from a liberal studies perspective. Students will produce an extended, research-based project of publishable quality in a particular liberal arts and/or social science discipline.
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IDS 5950 - Project
Credits: 3
Prerequisites: Permission from VP of Academic Affairs or Designee
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, and may include a professional experience with a company or external organization. This course may be repeated once for credit.
Primary Term(s) Offered: Summer Rotation Year Annually
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IDS 5970 - Thesis 1
Credits: 3
Prerequisites: Permission from VP of Academic Affairs or Designee
Course Description: Students will explore and conduct original research on a topic, under the guidance of a faculty member. The student must submit a thesis proposal approved by a thesis committee and successfully defend the work in a public venue. The thesis should facilitate engagement with academic and professional communities and STEM related industries. A successful thesis will explore, evaluate and extend creative uses of emerging methods, models and processes and make a significant contribution to the body of knowledge of the field. This course is part one of the two part thesis option.
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IDS 5975 - Thesis 2
Credits: 3
Prerequisites: IDS 5970 Thesis 1
Course Description: Students will explore and conduct original research on a topic, under the guidance of a faculty member. The student must submit a thesis proposal approved by a thesis committee and successfully defend the work in a public venue. The thesis should facilitate engagement with academic and professional communities and STEM related industries. A successful thesis will explore, evaluate and extend creative uses of emerging methods, models and processes and make a significant contribution to the body of knowledge of the field. This course is part two of the two part thesis option.
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Literature |
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LIT 2000 - Introduction to Literature
Credits: 3
Prerequisites: ENC 1101 - English Composition 1: Expository and Argumentative Writing (or equivalent)
Course Description: This course introduces students to readings in a variety of genres of literature, including the short story, the novel, the play, the poem, and the essay; recognition of the formal elements of these genres; and written and oral analysis of specific works representing these genres. The instructor determines the breadth and focus of this survey.
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Management |
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MAN 1590 - Introduction to Logistics and Supply Chain Management
Credits: 3
Prerequisites: None
Co-requisite or Prerequisite: None.
Co-requisite: None.
Course Description: This course is an introduction to the processes and functions of logistics, materials, and supply chain management and focuses on creating a competitive advantage.
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MAN 3132 - Logistics and Supply Chain Management Communications
Credits: 3
Prerequisites: MAN 1590 - Introduction to Logistics and Supply Chain Management
Co-requisite or Prerequisite: None.
Co-requisite: None.
Course Description: Communication with media and government as well as media management is presented.
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MAN 3504 - Introduction to Operations and Supply Chain Management
Credits: 3
Prerequisites: STA 2023 or STA 3032
Course Description: Introduction to the field of operations and supply chain management and relevant quantitative tools to manage cost, quality, time, and flexibility of business operations. Topics include facility location and layout, operations strategy, forecasting, manufacturing and service processes, supply chain management, materials requirement planning, logistics, quality management and control, capacity and aggregate planning, and inventory control and scheduling.
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MAN 3520 - Six Sigma
Credits: 3
Prerequisites: STA 2023 - Statistics 1
Course Description: Strategies, techniques, and tools for process improvement resulting in continuous efforts to achieve stable and predictable results are covered in this class. Application of Six Sigma including managing processes, process improvement and control, and toolset application.
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MAN 3570 - Purchasing and Materials Management
Credits: 3
Prerequisites: None
Course Description: Procurement, contracting cycle, methods of purchasing, source selection, receipt, inspection, and quality assurance are covered in this course. Inventory, physical distribution, surplus, salvage, and disposal are also discussed.
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MAN 3610 - Global Logistics Management
Credits: 3
Prerequisites: None
Course Description: This course compares global versus national transportation management. Global transportation management, decision making, operations, logistics, supply chain, and traffic management are discussed.
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MAN 3613 - Supply Chain Risk Management
Credits: 3
Prerequisites: MAN 2591 Introduction to Operations and Supply Chain Management OR MAN 3504 - Introduction to Operations and Supply Chain Management
Course Description: This course provides an overview of Supply chain security and risk management (SCSRM). Supply chain security in relationship to homeland security is discussed. Topics include security organizations, legislation, first response and recovery, as well as security related to maritime, container cargo, land transportation, food chain, pharmaceutical, utilities, and cyber security.
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MAN 4545C - Logistics and Supply Chain Management Computer Software
Credits: 3
Prerequisites: MAN 2591 Introduction to Operations and Supply Chain Management OR MAN 3504 - Introduction to Operations and Supply Chain Management
Course Description: Route planning, enterprise real estate, as well as supply chain, workforce and all-channel commerce software are discussed in this class.
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MAN 4558 - Lean Operations Management
Credits: 3
Prerequisites: MAN 2591 Introduction to Operations and Supply Chain Management OR MAN 3504 - Introduction to Operations and Supply Chain Management
Course Description: This course discusses relationships with suppliers and customers, quality management, process improvement, and cost analysis. This course will introduce students to lean principles and practice in production and transactional business procedures. The course will provide the student with an introduction to lean operations describing how evaluations and assessments of operations systems are performed. Lean operation tools and techniques will be described and in some cases demonstrated in simulation exercises. Issues relating to employee involvement, improvement teams, training and culture will be presented. Planning for lean process implementation and the necessity of sustain improvements will be discussed. Examples of applications in manufacturing and business processes will be presented.
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MAN 4593 - National Transportation Management
Credits: 3
Prerequisites: COP 2271C - Introduction to Computation and Programming
Course Description: This course provides a comprehensive overview of transportation management and policy and includes the perspective of recent technological advancements in connected and autonomous vehicles. Carrier selection and management, purchasing, order processing, facility operation and design, distribution, operations, transportation costing and negotiation are also discussed.
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MAN 4594 - Reverse Logistics
Credits: 3
Prerequisites: MAN 2591 Introduction to Operations and Supply Chain Management OR MAN 3504 - Introduction to Operations and Supply Chain Management and EGN 3448 Operations Research
Course Description: In this course forward-moving logistics is compared to reverse-moving logistics. Both goods and information are discussed. Topics include federal and state regulations, waste management, recycled materials, technology, financial controls, stakeholders, and performance measurement.
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MAN 4633 - Strategic Management
Credits: 3
Prerequisites: MAN 2591 Introduction to Operations and Supply Chain Management OR MAN 3504 - Introduction to Operations and Supply Chain Management
Course Description: This course integrates concepts and knowledge from a broad range of core business and analytical skills to explore contemporary factors such as social, technological, environmental, political, and economic conditions influencing the business environment. The course emphasizes strategic thinking in crafting and executing strategy. This course requires significant group-based work through use of case studies.
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MAN 5245 - Organizational Behavior & Leadership
Credits: 3
Prerequisites: Graduate Standing
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.
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MAN 5528 - Principles of Logistics/Transportation Systems
Credits: 3
Prerequisites: None
Course Description: This course will be a project and case study based course that will discuss the management perspective of distribution, transportation, inventory, global logistics, sustainable logistics, supply chain finance, data analysis, logistics IT and RFID systems.
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MAN 5596 - Global Supply Chain Management
Credits: 3
Prerequisites: None
Course Description: This course will be a project and case study based course that will focus on management and improvement of supply chain processes and performance. This course will cover the topics of: global supply chain drivers, global supply chain distribution centers, inventory, packaging, transportation, trade agreements, sustainability, cost and innovation.
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MAN 5598 - Logistics Management
Credits: 3
Prerequisites: None
Course Description: This course will be a project and case study based course that will discuss the management perspective of distribution, transportation, inventory, global logistics, sustainable logistics, supply chain finance, data analysis, logistics IT and RFID systems.
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MAN 6636 - Global Strategic Management & Leadership
Credits: 3
Prerequisites: Must be taken during the last semester before graduation
Course Description: This course exposes the student to the many dimensions of strategic business planning and decision making in a fiercely competitive and rapidly changing global environment. The course covers the analysis of the external global environment; the creation of vision and mission statements that define the organization’s strategic direction, role in society and long-term objectives; the development of effective business strategies for creating sustainable competitive advantage and for responding to the opportunities and threats identified in the external environment; and the successful implementation of the organization’s strategies and achievement of its goals. The student will learn numerous strategic planning tools, concepts and techniques that are used to conduct the strategic management tasks. Students will understand how to think strategically and connect the disciplines of strategy and leadership to effectively assess, formulate, plan, and implement the strategic plan. The course is heavily based on published cases and may require doing a live case analysis with presentation to executives.
Primary Term(s) Offered: Spring Rotation Year Annually
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Materials Engineering |
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EMA 3050 - Introduction to Inorganic Materials
Credits: 3
Prerequisites: EGN 3365 - Structure and Properties of Materials
Course Description: This course introduces structure, processing and properties of inorganic materials and their applications. Fabrication techniques for metals and ceramics and their subsequent technology and engineering applications will be covered.
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EMA 3066 - Introduction to Organic Materials - Polymers
Credits: 3
Prerequisites: CHM 2045 Chemistry 1 and PHY 2049 Physics 2 and EGN 3365 Structure and Properties of Materials
Course Description: Uses, structure, processing and properties of organic materials, including polymers, biomacromolecules, and small molecule organic materials. Scientific principles are introduced through discussion of developed organic materials for high technology applications.
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EMA 3084 - Fundamentals of Nanomaterials and Nanotechnology
Credits: 3
Prerequisites: EGN 3365 - Structure and Properties of Materials and PHY 2049 - Physics 2 and MAP 2302 - Differential Equations
Course Description: This course is an introduction to the field of nanomaterials and nanotechnology which prepares students for practical use of nanomaterials and nanotechnology by discussing widely employed applications as well as providing a theoretical basis for understanding concepts that are relevant to nanoscience.
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EMA 4014 - Nanoelectronic Materials
Credits: 3
Prerequisites: PHY 3101 Introduction to Modern Physics , PHY 4602 Introduction to Quantum Mechanics , PHZ 3442 Semiconductor Physics
Course Description: The course aims to give students a broad understanding of fundamentals, fabrication technologies and applications of nanoscale structures and devices. The course will cover electrical, magnetic and optical properties of nanostructured materials and devices. Materials include silicon and “beyond-silicon materials” for future electronics. Nano-devices includes resonant-tunneling devices, single-electron transfer devices and spintronic devices.
Primary Term(s) Offered: Spring Rotation Year Annually
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EMA 4491 - Nanotechnology and Materials for Energy Storage and Generation
Credits: 3
Prerequisites: Permission of Instructor
Course Description: How nanomaterials are used in batteries, ultracapacitors, and solar cells. Theory of measurements used to evaluate energy storage devices. Overview of how devices are integrated into systems.
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Mathematics |
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MAT 4910 - Applied Mathematics Capstone 1 (Amended 10/25/2021)
Credits: 3
Course Description: This course is part one of the senior capstone sequence for the Engineering Mathematics degree. 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).
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MAT 4911 - Applied Mathematics Capstone 2 (Amended 10/25/2021)
Credits: 3
Prerequisites: MAT 4910 - Engineering Math Capstone 1
Course Description: This course is part two of the senior capstone sequence for the Engineering Mathematics degree. 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).
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Mathematics - Algebraic Structures |
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MAS 3105 - Linear Algebra
Credits: 3
Prerequisites: MAC 2313 - Analytic Geometry and Calculus 3 with a minimum grade of C (2.0).
Course Description: This course stresses the theoretical aspects of the following topics: vector spaces, linear transformations, linear equations and matrices, determinants, inner products, eigenvalues, projections, and least square.
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MAS 3114 - Computational Linear Algebra
Credits: 3
Prerequisites: MAC 2312 - Analytic Geometry and Calculus 2 with a grade of C or higher
Course Description: Linear equations, matrices, and determinants; vector spaces and linear transformations; inner products and eigenvalues. This course emphasizes computational aspects of Linear Algebra.
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Mathematics - Analysis |
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Mathematics Applied |
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MAP 2302 - Differential Equations
Credits: 3
Prerequisites: MAC 2312 - Analytic Geometry and Calculus 2 (with a minimum grade of C)
Course Description: The relationship between differential equations and initial conditions to physical problems in engineering, physics, technology and other applied areas is discussed. Students will be able to formulate, solve, and analyze the results of mathematical models of elementary physical problems and apply them. Topics include: first-order ordinary differential equations, theory of linear ordinary differential equations, solution of linear ordinary differential equations with constant coefficients, the Laplace transform and its application to solving linear ordinary differential equations.
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MAP 3253 - Mathematical Scientific Computation
Credits: 3
Prerequisites: COP 2271 - Introduction to Computation and Programming and MAP 2302 - Differential Equations
Course Description:
The mathematical and scientific computation is an interplay between mathematical theory and modern computational tools for applications. Students will attain an advanced knowledge of computer science, specifically programming and will gain a solid foundation in mathematics that will enable them to model or analyze complicated systems or problems, such as earthquakes, economic models or biological systems.
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MAP 3305 - Engineering Mathematics 1
Credits: 3
Prerequisites: MAC 2312 - Analytic Geometry and Calculus 2 or MAC 2254 or MAC 2282
Course Description:
The purpose of this module is to provide participants with the skills, knowledge and attitudes required to perform fundamental mathematical procedures and processes for solution of engineering problems, particularly the use of calculus, vector analysis and infinite series. The subject aims to show the relevance of mathematics to engineering and applied sciences.
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MAP 3930 - Special Topics - Applied Mathematics
Credits: 3
Prerequisites: Consent of department head and instructor
Course Description: This course investigates a topic of special interest to faculty and students that is outside regular course offerings.
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MAP 4102 - Probability and Stochastic Processes
Credits: 3
Prerequisites: MAP 2302 - Differential Equations (Amended 10/25/2021)
Course Description: Probability Spaces, Discrete and Continuous Random Variables, Conditional Probabilities, and Expectations, Standard Distributions, Poisson Processes, Discrete and continuous Parameter Markov Chains and either Queues, Brownian Motion or Simulation
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MAP 4202 - Optimization Theory
Credits: 3
Prerequisites: MAP 4102 - Probability and Stochastic Processes
Course Description:
This course will focus on problem formulation, software technologies and analytical methods for optimization serving as an introduction to a wide variety of optimization problems and techniques including linear and nonlinear programming, dynamic programming, network flows, integer programming, heuristic approaches, Markov chains, game theory, and decision analysis.
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MAP 4306 - Engineering Mathematics II
Credits: 3
Prerequisites: MAP 3305 - Engineering Mathematics 1
Course Description: The purpose of this module is to provide participants with the skills, knowledge and attitudes required to perform fundamental mathematical procedures and processes for solution of engineering problems, particularly the use of calculus, vector analysis and infinite series. The subject aims to show the relevance of mathematics to engineering and applied sciences.
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MAP 4341 - Applied Partial Differential Equations
Credits: 3
Prerequisites: MAP 2302 - Differential Equations
Course Description: This course introduces three main types of partial differential equations: diffusion, elliptic, and hyperbolic. It includes mathematical tools, real-world examples and applications.
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MAP 4413 - Fourier Analysis with Applications
Credits: 3
Course Description: The goals for the course are to gain a facility with using the Fourier transform, both specific techniques and general principles, and learning to recognize when, why, and how it is used. Topics include: The Fourier transform as a tool for solving physical problems. Fourier series, the Fourier transform of continuous and discrete signals and its properties. The Dirac delta, distributions, and generalized transforms. Convolutions and correlations and applications; probability distributions, sampling theory, filters, and analysis of linear systems. The discrete Fourier transform and the FFT algorithm.
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MAP 4484 - Mathematical Modeling in Biology I
Credits: 3
Prerequisites: MAP 2302 - Differential Equations and MAS 3105 - Linear Algebra
Course Description: Introduction to techniques used in the construction, analysis, and evaluation of mathematical models. Modeling topics include: How fast will an infectious disease spread within a community? What fraction of a population need to be vaccinated in order to eradicate a disease, and what is the best vaccination policy? How stable is a given ecosystem? Students will learn how to frame a scientific question in mathematical terms; how to study the model using mathematical tools and techniques; how to interpret model predictions in the appropriate scientific context.
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MAP 4494 - Mathematical Modeling in Biology II
Credits: 3
Prerequisites: MAP 4484 - Mathematical Modeling in Biology I
Course Description: Introduction to techniques used in the construction, analysis, and evaluation of mathematical models. Modeling topics include: How fast will an infectious disease spread within a community? What fraction of a population need to be vaccinated in order to eradicate a disease, and what is the best vaccination policy? How stable is a given ecosystem? Students will learn how to frame a scientific question in mathematical terms; how to study the model using mathematical tools and techniques; how to interpret model predictions in the appropriate scientific context.
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