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Interdisciplinary Studies |
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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 3526 - Six Sigma Applications
Credits: 3
Prerequisites: MAN 3520 - Six Sigma
Course Description: Applying Six Sigma to business including managing processes, process improvement and control, and toolset application are covered in this course.
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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 3592 - Global Supply Chain Management
Credits: 3
Prerequisites: None
Course Description: Managing the supply chain in a global context including supplier selection, inventory, quality, and pricing are covered in this course. Customs, global sourcing, transportation and location are also covered.
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MAN 3595 - Logistics and Technology
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 the use of technology (bar codes, GPS, and Radio Frequency Identification tags) in logistics to control recalls, returns, recycling, and waste management. Management functions, Data synchronization, and interrelationships between different technologies to capture data regarding products moving in a logistics system 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 4442 - Supply Chain Management Research and Negotiation
Credits: 3
Prerequisites: MAN 3610 - Global Logistics Management
Co-requisite or Prerequisite: None.
Co-requisite: None.
Course Description: This course covers strategic and tactical supply chain research and negotiations.
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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 4597 - Advanced Logistics 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 advanced course focuses on management, continuity, risk, the environment, and manufacturing. The connection between research, development, innovation and the movement of new products is also discussed.
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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 4786 - Diminishing Manufacturing Sources and Material Shortages
Credits: 3
Prerequisites: MAN 2591 - Introduction to Operations and Supply Chain Management OR MAN 3504 - Introduction to Operations and Supply Chain Management
Co-requisite or Prerequisite: None.
Co-requisite: None.
Course Description: Students will apply Diminishing Manufacturing Sources and Material Shortages (DMSMS) to commercial business and government life cycles. Strategic procurement, loss of sources, elimination of reactive actions, mitigation, solution paths, system inoperability avoidance, long-term proactive solution paths, redesign and replacement, and costs are covered in this course.
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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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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 3530C - Introduction to Instrumentation and Characterization
Credits: 3
Prerequisites: CHM 2045 - Chemistry 1 and CHM 2045L - Chemistry 1 Laboratory and PHY 2049 - Physics 2 and PHY 2049L - Physics 2 Laboratory and EGN 3365 - Structure and Properties of Materials
Course Description: This course provides an inductive learning approach towards theory and operation of instrumentation and characterization tools. Processes for inferring experimental values, error in the system and other mechanisms are covered. Additional topics include sample preparation and handling procedures, the principles of designing experiments, validation of methods and the business aspects of purchasing instruments. Emphasis is placed upon proper interpretation of data from experiments and communicating results.
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EMA 3782 - Sustainable Nanotechnology
Credits: 3
Prerequisites: EMA 1083C - Unique Nanoscale Phenomena and Interfaces
Course Description: This course covers the manufacturing and use of nanomaterials and nano-enabled products in a sustainable fashion. Additional topics include life cycle analysis and cost-saving sustainable solutions.
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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.
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EMA 3811 - Multifunctional Materials
Credits: 3
Prerequisites: COP 3337C - Object Oriented Programming
Course Description: This course will cover how to engineer materials to achieve desired functions. Computational modeling approaches for optimizing materials properties and designs will be covered.
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EMA 4006 - Materials, Science, Structure, and Property
Credits: 3
Prerequisites: MAC 2313 - Analytic Geometry and Calculus 3 and PHY 2049 - Physics 2
Course Description: Introduction to the fundamental concepts of materials science, determining structure-processing-property relationships, and optimizing complex systems for maximum design attribute achievement. Additional topics include chemical kinetics and experimental design to determine material properties.
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EMA 4490 - Materials for Energy Storage and Generation
Credits: 3
Prerequisites: EMA 4006 - Materials, Science, Structure, and Property
Course Description: Students will learn how material properties provides solutions for improving solar cells, ultracapacitors and battery technologies. Example topics will include how solar cells are designed and evaluated, how interconnects and electrode materials interface with energy harvesting and energy storage materials, how energy storage devices are designed and evaluated, and how ‘3D’ architectures in energy materials could be enabled through nanotechnology.
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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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EMA 4531 - Advanced Materials Instrumentation and Characterization
Credits: 3
Prerequisites: None
Course Description: The course provides an advanced inductive learning approach towards theory and real world experimentation utilizing instrumentation and characterization tools. In addition students will learn, the processes for inferring experimental values, imaging, related testing, error in the system and other mechanisms as well as principles of designing experiments, and validation of methods. Emphasis is placed on proper interpretation of data from experiments and communicating results, including how subtle differences in words and interdisciplinary applications.
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EMA 4703 - Multifunctional Materials
Credits: 3
Prerequisites: EMA 3811 - Multifunctional Materials
Course Description: This course will explore how to engineer multiple properties into materials, such as flexible electronics. Study of approaches for evaluating and optimizing multiple competing parameters.
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EMA 4780 - Materials for Sustainability
Credits: 3
Prerequisites: EMA 3811 - Multifunctional Materials or permission from program director
Course Description: This course will explore how materials can contribute to more sustainable products and processes. Life cycle analysis, and optimizing competing design properties will also be covered.
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EMA 4780 - Materials for Sustainability
Credits: 3
Prerequisites: PHZ 4404 - Introduction to Solid State Physics or permission from program director
Course Description: This course will explore how materials can contribute to more sustainable products and processes. Life cycle analysis, and optimizing competing design properties will also be covered.
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EMA 4781 - Nano EHS Risk Assessment
Credits: 3
Prerequisites: Permission of Instructor
Course Description: This course covers the life cycle analysis of products and materials; exposure, hazard, and risk assessment models; and fate and transformations of nanomaterials.
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EMA 5401 - Nanotechnology and Materials for Energy
Credits: 3
Prerequisites: Permission from VP of Academic Affairs or Designee
Course Description: This course explores the state of the art and advantages of incorporating nanomaterials or nanostructures into devices and systems involving generation, consumption, detection or storage of various forms of energy.
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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.
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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.
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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.
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Mathematics |
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MAT 4910 - Engineering Math Capstone 1
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 - Engineering Math Capstone 2
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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MAA 4102 - Introduction to Advanced Calculus for Engineers and Physical Scientists
Credits: 3
Prerequisites: (MAC 2313 - Analytic Geometry and Calculus 3 or MAC 3474) and (MAS 4105 or MAS 3114 - Computational Linear Algebra )
Course Description:
Theory of real numbers, functions of one variable, sequences, limits, continuity and differentiation; continuity and differentiability of functions of several variables.
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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 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 and MAS 3105 - Linear Algebra
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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MAP 5436 - Applied Math
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.
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Mathematics - Calculus and Precalculus |
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MAC 1147 - Pre-calculus Algebra and Trigonometry
Credits: 4
Prerequisites: None
Course Description: Topics include the study of polynomial, rational, absolute value, exponential, and logarithmic functions. Other topics include matrices, system of equations and inequalities, Trigonometric functions and applications, analytic trigonometry. This course is intended for students whose major requires the calculus sequence.
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MAC 1281 - Calculus 1
Credits: 4
Prerequisites: None
Course Description: Differential and integral single-variable calculus of algebraic, exponential, and logarithmic functions with an emphasis on applications. No credit for students with credit in MAC 2311.
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MAC 2311 - Analytic Geometry and Calculus 1
Credits: 4
Prerequisites: Any of the following:
a grade of C in a MAC course numbered 1147 or higher
AP credit for MAC 2311 - Analytic Geometry and Calculus 1
IB credit for a MAC course numbered 1147 or higher.
Any course grades, AP or IB scores used to meet this prerequisite must be on file by registration.
Course Description: This course is an introduction to analytic geometry; limits; continuity; differentiation of algebraic, trigonometric, exponential and logarithmic functions; applications of the derivative; inverse trigonometric functions; differentials; introduction to integration; and the fundamental theorem of calculus.
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MAC 2312 - Analytic Geometry and Calculus 2
Credits: 4
Prerequisites: MAC 2311 - Analytic Geometry and Calculus 1
Course Description: Techniques of integration; applications of integration; differentiation and integration of inverse trigonometric, exponential, and logarithmic functions; sequences and series are presented in this class.
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MAC 2313 - Analytic Geometry and Calculus 3
Credits: 4
Prerequisites: MAC 2312 - Analytic Geometry and Calculus 2
Course Description: This course covers solid analytic geometry, vectors, partial derivatives and multiple integrals.
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Mathematics - Discrete |
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MAD 2104 - Discrete Mathematics
Credits: 3
Prerequisites: MAC 2312 - Analytic Geometry and Calculus 2
Course Description: This course discusses logic, sets, functions, integers, mathematical reasoning and induction, counting principles, permutations and combinations, discrete probability, advanced counting techniques and inclusion-exclusion.
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MAD 3105 - Discrete Mathematics II
Credits: 3
Prerequisites: MAD 2104 - Discrete Mathematics
Course Description: The purpose of this course is to develop knowledge and skills in fundamental mathematical topics that are relevant to computing, particularly to the systematic development of software. This course is intended for computer science majors and other science majors with an interest in mathematics. The topics covered in this course include graphs, relations and Boolean Algebra.
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Mathematics - Topology and Geometry |
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MTG 4302 - Elements of Topology 1
Credits: 3
Prerequisites: MAS 3105 - Linear Algebra
Course Description: This course will present the basic concepts and examples of general topology. Topology provides a general setting for studying continuous mathematics, and is a foundation for much of pure and applied mathematics. Specific topics presented: basics of set theory and then introduce topological spaces and continuous functions, notions of connectedness, compactness, countability and separation, metric spaces and function spaces, and the notion of completeness.
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MTG 4303 - Elements of Topology II
Credits: 3
Prerequisites: MTG 4302 - Elements of Topology 1
Course Description: This course will present the basic concepts and examples of general topology. Topology provides a general setting for studying continuous mathematics, and is a foundation for much of pure and applied mathematics. Specific topics presented: basics of set theory and then introduce topological spaces and continuous functions, notions of connectedness, compactness, countability and separation, metric spaces and function spaces, and the notion of completeness.
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Optical Science and Engineering |
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Philosophy |
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PHI 2010 - Introduction to Philosophy
Credits: 3
Prerequisites: None
Course Description: This course is an introduction to the nature of philosophy, philosophical thinking, major intellectual movements in the history of philosophy, and specific problems in philosophy. This course meets communication/writing-intensive requirements (W).
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Physics |
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PHY 2048L - Physics 1 Laboratory
Credits: 1
Prerequisites: None
Co-requisite: PHY 2048 - Physics 1
Course Description: This laboratory experience for PHY 2048 Physics with provides practical applications of Newtonian mechanics.
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PHY 2049 - Physics 2
Credits: 3
Prerequisites: PHY 2048 - Physics 1 and MAC 2312 - Analytic Geometry and Calculus 2
Co-requisite: PHY 2049L - Physics 2 Laboratory
Course Description: The second of a two-semester sequence of physics for scientists and engineers. Content includes Coulomb’s law, electric fields and potentials, capacitance, currents and circuits, Ampere’s law, Faraday’s law, inductance, Maxwell’s equations, electromagnetic waves, ray optics, interference and diffraction.
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PHY 2049L - Physics 2 Laboratory
Credits: 1
Prerequisites: None
Co-requisite: PHY 2049 - Physics 2
Course Description: This laboratory experience for with MAC 2312 - Analytic Geometry and Calculus 2 illustrates the practical applications of Coulomb’s law, electric fields and potentials, capacitance, currents and circuits, Ampere’s law, Faraday’s law, inductance, Maxwell’s equations, electromagnetic waves, ray optics, interference and diffraction.
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PHY 3101L - Modern Physics Laboratory
Credits: 2
Prerequisites: None
Co-requisite: PHY 3101 - Introduction to Modern Physics
Course Description: This course studies experiments that explore radiation and the atomic nature of matter including the photoelectric effect, atomic emission and absorption spectroscopy, the Franck-Hertz experiment, electron spin resonance and nuclear radiation.
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PHY 3113 - Introduction to Theoretical Physics
Credits: 3
Prerequisites: MAP 2302 - Differential Equations and PHY 2049 - Physics 2
Course Description: Analytical techniques to solve problems of Physics. The course is designed to develop the basic mathematical skills required in subsequent courses in Physics as well as form the basis for a fundamental understanding of the Mathematics needed for the study of Physics.
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PHY 3272 - Physics of Space Flight
Credits: 3
Prerequisites: PHY 2049 - Physics 2
Course Description: Basic Physics is used to describe the motions of space craft, with a discussion of various types of propulsion systems, including chemical methods, nuclear systems, electric and photon propulsion.
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PHY 4221 - Introduction to Classical Mechanics
Credits: 3
Prerequisites: PHY 2049 - Physics 2 and MAC 2313 - Analytic Geometry and Calculus 3
Course Description: An introduction to classical mechanics. Topics include, Newton’s laws, particle dynamics, central forces, oscillatory motion, Lagrangian and Hamiltonian mechanics, system and rigid body dynamics.
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PHY 4323 - Introduction to Electromagnetism
Credits: 3
Prerequisites: PHY 2049 - Physics 2 and MAC 2313 - Analytic Geometry and Calculus 3 and MAP 2302 - Differential Equations
Course Description:
The theory of electromagnetic fields and waves is developed from basic principles. Vector calculus, coulomb’s law, Gauss’s law, electrostatic potential, dielectrics, solutions to Laplace’s and Poisson’s equations, magnetic induction, vector potential, magnetic materials, Maxwell’s equations and propagation of waves in space and various media are discussed.
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PHY 4911 - Engineering Physics Capstone 2
Credits: 3
Prerequisites: PHY 4910 - Undergraduate Research 1
Course Description:
The primary purpose of this course is to provide students with an opportunity for firsthand, supervised research in Physics. Projects may involve inquiry, design, investigation, scholarship, discovery or application in Physics.
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PHY 4930 - Special Topics in Physics
Credits: 3
Prerequisites: PHY 2048 - Physics 1 and PHY 2048L - Physics 1 Laboratory
Course Description: Special sessions exploring the current issues in Physics. Topics may vary and are selected on the basis of what is new or currently relevant in the field.
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PHZ 3442 - Semiconductor Physics
Credits: 3
Prerequisites: PHY3101 Introduction To Modern Physics
Course Description: The course addresses fundamental concepts of semiconductor physics and provides the students with a solid background for further specialization in the area of Engineering Physics for electronics, optoelectronics, sensors and energy harvesting. Starting with a review of quantum mechanics and the solution of Schrödinger’s equation in a periodic crystal, the effective mass of carriers and the band structure of semiconductors will be derived. The course will provide the students with a deep understanding of the underlying microscopic Physics behind the transport properties of semiconductors (Fermi level, intrinsic carrier concentration, temperature dependence, extrinsic semiconductors, dopant energies, extrinsic carrier density, kinetic theory, Boltzmann transport, mobility and diffusion, drift-diffusion equations), as well as the optical properties of semiconductors (optical absorption, generation-recombination, carrier lifetime). In the last part of the course, an introduction to bipolar junctions and semiconductor devices will be presented.
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PHZ 4470 - Materials Characterization
Credits: 3
Prerequisites: PHZ 4404 - Introduction to Solid State Physics and MAC 2313 - Analytic Geometry and Calculus 3
Course Description: This course introduces a large variety of materials characterization techniques that have been developed and are currently used in materials science research while comprehensive understanding of each technique can require substantial background in math, physics and chemistry. This course aims to deliver the basic concepts regarding the principles, the practical aspects and the limitations of these characterization methods.
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PHZ 4702 - Biomedical Physics 1
Credits: 3
Prerequisites: PHY 2049 - Physics 2 and PHY 2049L - Physics 2 Laboratory
Course Description: This is the first in a series of two introductory courses on the applications of Physics in Biology and Medicine. It discusses applications of classical mechanics, hydrodynamics, and thermodynamics to motion and the structure of musculoskeletal system, the respiratory system and the circulatory system, as well as to the biology of cell.
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PHZ 4731 - Introduction to Health (Medical) Physics
Credits: 3
Prerequisites: PHZ 3361 - Radiation Detection and Measurement
Course Description:
An introduction to health (medical) Physics. Topics include the biological effects of radiation exposure, environmental and personnel monitoring, dosimetry and dose calculations and Governmental regulations.
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PSY 2012 - General Psychology
Credits: 3
Prerequisites: None
Course Description: An introduction to the basic principles, theories, and methods of psychology surveying the various areas of psychology. This course meets communication/writing-intensive requirements (W).
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