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Technology Management and Innovation |
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MG 9213 Seminar in Information Systems Management 3 Credits
This course provides PhD-TM students and those in other related fields with a perspective on modern information-systems methodologies, technologies and practices. State-of-the-art research on frameworks for analysis, design and implementation of various types of information systems is presented. Also covered are economic and strategic issues related to information technology; the emphasis is on research in organizational, inter-organizational and strategic settings. The course follows a seminar format, and students are assigned paper-based and Web-based readings. Student’s contributions are expected during class sessions, both as participant and, for one class, as moderator.
Prerequisite(s): Doctoral standing or instructor’s permission.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MG 9223 Seminar in Business Process Innovation 3 Credits
This doctoral seminar explores dimensions and issues pertaining to the technology-business process interface that are critical to superior performance in today’s modern networked corporations. Students discuss how technology has affected everything from common business tasks to complex and global supply-chain integration. Qualitative and quantitative aspects in these areas are addressed. The class also discusses articles on leading-edge research and management thought. The underlying objective is to expose the student to the rich and emergent literature in modern supply-chain management, technology integration and business model evolution. Major seminar themes include technology integration, product and process innovation, marketing, logistics, operations, IT and channel management issues in supply chains across various industries. The seminar emphasizes understanding the role of technology in the supply chain and its relation to business processes and innovation.
Prerequisite(s): Doctoral standing or instructor’s permission.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MG 9233 Seminar in Managing Technological Change and Innovation 3 Credits
The objectives of this seminar are to familiarize students with the key viewpoints in the literature on technological innovation. Readings are selected to highlight the most important contributions to the literature by past and current academics. A critical analysis and review of this body of literature set the stage for future research work in this important management area.
Prerequisite(s): Doctoral standing or instructor’s permission.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MG 9243 Technology Management and Policy 3 Credits
This course focuses on the research related to macro-environment that influences and that is relevant to technology decision making, strategy and innovation in firms, government agencies, nonprofit institutions and other organizations. Primary concerns include introducing effective approaches for analyzing and evaluating societal-wide factors that influence innovation; assessing various attempts and policies for stimulating innovation in a city, region, nation or globally; exploring the role of technology and innovation in diverse managerial, economic and social contexts (e.g., advanced economies, rapidly emerging economies and Third World economies); the relationship between business-government and NGOs (non-government organizations) in promoting and sustaining innovation; the impact of global rivalry and global cooperation in the technology and innovation arena; and the place of technology and innovation in the post–Cold War era and in the early 21st century.
Prerequisite(s): Doctoral standing or instructor’s permission.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MG 9253 Technology Strategy, Structure and Decision Making 3 Credits
This course explores the most important and relevant theories and concepts related to technology strategy, structure and decision making. The emphasis is on understanding the useful application of such ideas for modern technology management and for designing effective scholarly research that deals with the strategic, structural and decision-making aspects of innovation and technology management.
Prerequisite(s): Doctoral standing or instructor’s permission.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MG 9263 Strategic Marketing Seminar 3 Credits
This course examines strategic marketing issues that face firms and industries from theoretical and empirical perspectives. The seminar looks at product design, positioning and strategy, distribution, sales force, design of the marketing organization, competition, market structure, problems of information, signaling and pricing, corporate reputation and branding, advertising and promotion, and recent advances in product and service development.
Prerequisite(s): Doctoral standing or instructor’s permission.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MG 9273 Doctoral Seminar in Technology Adoption and Diffusion 3 Credits
This seminary familiarizes students with the key viewpoints in the literature of technology adoption and diffusion. Readings are selected to highlight the most important contributions to the literature by past and current academics. A critical analysis and review of this literature sets the stage for future research in this important management area.
Prerequisite(s): Doctoral standing or instructor’s permission.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MG 9283 Doctoral Seminar on Entrepreneurship 3 Credits
This seminar familiarizes students with key viewpoints in the literature on entrepreneurship. Readings highlight the most important contributions to the literature by past and current academics. A critical analysis and review of this literature sets the stage for future research in this important management area.
Prerequisite(s): Doctoral standing or instructor’s permission.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MG 9293 Seminar on Content Innovation 3 Credits
Because the Internet has evolved to provide a robust technology platform on which to create content, the notion of what comprises content has expanded to include not only one-dimensional content, (print newspapers, books and music recordings, the core output of traditional media companies) but also multidimensional, nonlinear content that can reside in physical, digital or hybrid (physical and digital) spaces. The popularization and proliferation of this new content has affected profoundly the development of the creative industries (e.g., publishing, newspapers, video games, fashion and music) and thus significantly challenges managers. This seminar explores the evolution of content innovation and focuses on several major issues, including the restructuring of creative industries and related managerial challenges resulting from developments in content innovation; the impact of restructuring creative industries on the development of urban centers of creativity and technoculture, such as Silicon Alley in New York City and Hollywood, California; the role of technology companies, particularly hybrid telecommunications/ content companies and how they intersect with the creative industries and influence content innovation; the media and its symbiotic relationship with politics.
Prerequisite(s): Doctoral standing or instructor’s permission.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MG 9303 Advanced Topics—Organizational Behavior and Organizational Theory 3 Credits
This course familiarizes students with a broad range of theoretical perspectives in contemporary organization theory and organizational behavior. The course spans levels of analysis. It adopts mostly a practice perspective and focuses on meso-levels of analysis (inter-group collaboration and competition) and micro-levels of interpersonal and social psychological processes within organizations.
Prerequisite(s): Doctoral standing or instructor’s permission.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MG 9313 Introduction to Behavioral Sciences 3 Credits
This interdisciplinary seminar is limited to doctoral students. The seminar focuses on behavioral sciences, the areas of inquiry relating to the human condition or human behavior. This definition encompasses a wide variety of disciplines, from the social sciences and humanities to a corner of the biological sciences. The fields of study are as diverse as comparative literature, geography, psychiatry and mathematics (to name just a few). The course focuses on sociology, anthropology, history and political science; the emphasis is on sociology. The course explores a number of topics (social order, social solidarity, conflict, social classes, status) that have generated strong interest among social scientists. The course and the final paper pay special attention to the process of developing original theoretical arguments, suitable for empirical exploration.
Prerequisite(s): Doctoral standing or instructor’s permission.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MG 9321 Special Topics 3 Credits
This course requires individualized readings on special topics.
Prerequisite(s): Doctoral standing or instructor’s permission.
Note: Research methods seminars
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MG 9323 Special Topics 3 Credits
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MG 9343 Research Project in Organizational Behavior 3 Credits
This project integrates and applies advanced research techniques used in studies of organizations. Students develop and carry out individual applied research projects
Prerequisite(s): Advanced standing and MG 6333 or instructor’s permission.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MG 9403 Business Research Methods 3 Credits
This course introduces theory and techniques of business research methods. The course introduces the philosophy of science and the principles of investigation in the social sciences. Students learn to design a study, sample and choose a research design. Also discussed are basic data preparation, measurement and analysis procedures, focusing on univariate and multivariate statistics.
Prerequisite(s): Doctoral standing or instructor’s permission.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MG 9413 Quantitative Methods Seminar I 3 Credits
The introductory PhD-level course covers quantitative analysis. Topics include specification, estimation and inference in the context of models that start with the standard linear regression framework. After reviewing the classical linear model, students develop the asymptotic distribution theory necessary for analyzing generalized linear and nonlinear models. Students then analyze estimation methods such as instrumental variables, maximum likelihood, generalized method of moments (GMM) and others. Inference techniques used in the linear regression framework (such as t and F tests) is extended to Wald, Lagrange multiplier, likelihood ratio and other tests. Finally, the linear regression framework is extended to models for panel data, multiple equation models and models for discrete choice.
Prerequisite(s): Doctoral standing or instructor’s permission.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MG 9423 Quantitative Methods Seminar II 3 Credits
In this seminar, students gain an understanding of the theories underpinning economic and quantitative analysis in business. The seminar examines three different but interrelated academic disciplines to achieve this end: the axiomatic foundations of economics, the assumptions and methods that create the basis for game-theoretic analysis and the deviations from the economic rationality required by these methodologies that have been identified by the behavioral decision-making literature.
Prerequisite(s): Doctoral standing or instructor’s permission.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MG 9433 Qualitative Research Methods 3 Credits
The course covers methods that allow students to enter natural social settings to capture data about human behavior in the actual contexts in which people pursue their daily lives. These methods include observation and interviewing. The emphasis is on studying close-up the worlds of other people. The course helps participants learn to make sense of data inductively, i.e., from the bottom up. This course is not about hypothesis testing. Rather, it is about building grounded theory. The focus is on coding and categorizing qualitative data (observational notes and interview transcripts). Students learn to go beyond journalistic description of data and use the analysis that characterizes good inductive social science.
Prerequisite(s): Doctoral standing or instructor’s permission.
Note: Independent Research
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MG 9501 eMOT Capstone-1 1.5 Credits
First half of the eMOT Capstone course. Please see MG 9503 eMOT Capstone Project Course for full description. Both MG 9501 and MG 9511 courses may be taken in same semester.
Weekly Lecture Hours: 1.5 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MG 9503 eMOT Capstone Project Course 3 Credits
This course provides an integrative and state-of- the-art intellectual experience for participants at the conclusion of the program. The course is divided into two half semesters. The first half semester enables participants to focus on discerning the overarching trends which are driving innovation in various industry sectors. The class is divided into small groups each of which develops a comprehensive view of a particular industry sector. In the second half of the course, participants focus on the culminating project of the eMOT Program. Participants can choose to do their final projects on firms, issues related to technology management or as an outgrowth of the emphasis on entrepreneurship in the program, a business plan. Participants are encouraged to employ relevant concepts and insights that they have acquired during the course of the program.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MG 9511 eMOT Capstone-2 1.5 Credits
Second half of the eMOT Capstone course. Please see MG 9503 eMOT Capstone Project Course for full description. Both MG 9501 and MG9511 courses may be taken in same semester.
Weekly Lecture Hours: 1.5 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MG 9601 eIM Capstone-1 1.5 Credits
First half of the eIM Capstone course. Please see MG 9603 eIM Capstone Project Course for full description. Both MG 9601 and MG 9611 courses may be taken in same semester.
Weekly Lecture Hours: 1.5 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MG 9603 eIM Capstone Project Course 3 Credits
This course provides an integrative and state-of-the-art intellectual experience for participants at the conclusion of the program. The course is divided into two half semester. The first half semester enables participants to focus on discerning the overarching trends which are driving innovation in various industry sectors. The class is divided into small groups each of which develops a comprehensive view of a particular industry sector. In the second half of the course, participants focus on the culminating project of the eIM program. Participants can choose to do their final projects on firms, issues related to technology management or as an outgrowth of the emphasis on entrepreneurship in the program, a business plan. Participants are encouraged to employ relevant concepts and insights that they have acquired during the course of the program.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MG 9611 eIM Capstone-2 1.5 Credits
Second half of the eIM Capstone course. Please see MG 9603 eIM Capstone Project Course for full description. Both MG 9601 and MG 9611 courses may be taken in same semester.
Weekly Lecture Hours: 1.5 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MG 9651 The Modern CIO: Challenges and Opportunities 1.5 Credits
The Chief Information Officer (CIO) role has evolved from keeper of the infrastructure under the CFO, to an executive managing the organization’s information and sitting at the executive table. The CIO is the key strategic agent for the organizational use of technology and is the key agent in the creative-destructive process mediated by technology. Today technology is the single greatest factor in strategic change in a firm. The CIO is the executive best positioned to manage the creative-destructive power of technology and effect firm sustainability in the face of massive changes in markets. This course helps aspiring CIOs investigate this new and evolving role, using presentations, research and interviews of industry and public sector CIOs and CTOs as well as studying the market demands for CIOs and CTOs.
Weekly Lecture Hours: 1.5 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MG 9683 Internship and Action Learning 3 Credits
This course provides graduate students the opportunity to work in an organization relevant to their field of interest in an action-learning context under faculty supervision. It exposes graduate students to relevant, state-of-the-art and best practices in modern management from the perspective of reflective involvement and interaction in the field. Students submit a paper and oral presentation based on work accomplishments as well as a review of written evaluation by the onsite supervisor. This course may be taken only once.
Prerequisite(s): Approval of the Program Director
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MG 9691 The Modern Chief Information Security Officer: Challenges and Opportunities 1.5 Credits
The role of Chief Cyber Security Officer or Chief Information Security Officer has evolved from securing computer systems under the CIO to an executive managing the organization’s information security and sitting at the executive table. The officer is a key strategic agent for the organizational use of cyberspace. The CISO has become the key player in the increasingly dangerous and insecure area of cyberspace, where firms must operate for maximum competitive advantage. The CISO is the executive best positioned to manage the security of the firm’s assets/infrastructure and operations in cyberspace. This course helps aspiring CISOs investigate this new and evolving role, using lectures, research, and interviews of industry and public sector CISOs, as well as by studying the market demand for CISO positions.
Weekly Lecture Hours: 1.5 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MG 9703 Project in Strategy and Innovation 3 Credits
This course integrates concepts and theories from several other courses. The course usually considers issues from a holistic and top-management perspective; employs case studies and projects to focus on key interrelationships between strategy, technology, innovation, corporate culture, organization structure and human factors; and covers domestic and global corporations, small, medium and large firms; and established and new enterprises.
Prerequisite(s): Advanced standing.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MG 9753 Selected Topics in Management 3 Credits
Students analyze and discuss current topics in various fields.
Prerequisite(s): Advanced standing and Department’s Chair’s permission.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MG 9763 Readings in Management 3 Credits
This directed individual study of supervised readings explores advanced areas of management.
Prerequisite(s): Department Chair’s permission.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MG 9771 Readings in Management 1.5 Credits
This directed individual study of supervised readings discusses advanced areas of management.
Prerequisite(s): Department Chair’s permission.
Weekly Lecture Hours: 1.5 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MG 9781 Selected Topics in Management 1.5 Credits
Students analyze and discuss current topics in various fields.
Prerequisite(s): Advanced standing and Department Chair’s permission.
Weekly Lecture Hours: 1.5 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MG 9853 Selected Topics in Organizational Behavior 3 Credits
This course discusses and analyzes current topics in organizational behavior.
Prerequisite(s): Advanced standing and instructor’s permission.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MG 9861 Readings in Organizational Behavior 1.5 Credits
Students undertake directed individual study or supervised readings in advanced areas of organizational behavior.
Prerequisite(s): Academic Director’s permission.
Weekly Lecture Hours: 1.5 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MG 9873 Readings in Organizational Behavior 3 Credits
This course emphasizes directed individual study or supervised readings in advanced areas of organizational behavior.
Prerequisite(s): Program Director’s permission.
Note: Course descriptions for other than Organizational Behavior courses can be found in the MS in Management [MSM] section of this catalog.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MG 9913 Independent Research 3 Credits
In this course, students undertake directed individual study or supervised readings in advanced areas of the thematic electives and are advised by the doctoral adviser. Three credits required.
Prerequisite(s): Doctoral standing or instructor’s permission.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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PL 4052 Business Ethics 2 Credits
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Manufacturing Engineering Graduate Courses
The courses with MN designations below are followed by courses from other programs that commonly are taken by manufacturing engineering students. |
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MN 6113 Quality Control and Improvement 3 Credits
This course provides students with a solid foundation in the cost of quality, quality assurance and quality management. Emphasis is placed on the basic tools of quality control such as control charts and their use, the concept of “out of control,” acceptance sampling, variables and attributes charts, and producer’s and consumer’s risk. This course uniquely demonstrates the power of teams of people with different expertise to improve quality. A course project is required.
Prerequisite(s): MA 6513 or equivalent.
Also listed under: IE 6113 .
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MN 6123 Quality Engineering Using Robust Design 3 Credits
This course reviews broadly the procedures involved in improving the quality of manufacturing. By employing both Taguchi techniques, such as the use of signal-to-noise ratio representations and other techniques less sensitive to parameter interactions, a full spectrum of robust design methods are presented. Applications of these procedures are reviewed, including online troubleshooting methods to assure quality in manufacturing.
Prerequisite(s): MN 6113 or IE 6113 .
Also listed under: IE 6123 .
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MN 6303 Operations Management 3 Credits
This course examines analytical techniques to design and operate production and service systems, including facility layouts and locations, capacity planning, job sequencing, inventory control and quality control. Topics include introductory linear programming and other formal methods. Students use computers and case studies.
Also listed under: MG 6303 .
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MN 6323 Building High Performance Teams 3 Credits
Successful manufacturing programs require the teaming of a number of professionals having a variety of types of expertise, such as product design, manufacturing-process design, production engineering, quality control, testing and packaging. In the past, these individual experts were involved only in a serial fashion in the overall product realization process, with not very effective results. Considerable evidence suggests that uniting these experts in a consistent team produces substantial benefits. This course provides students with the skills and knowledge to build work-unit effectiveness. Topics include diagnosing team functioning, understanding group dynamics, and creating a productive team culture, surfacing and resolving critical issues, and implementing strategies for organizational support.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MN 6513 Design Strategies 3 Credits
Product design is a major determinant of product cost, quality and customer satisfaction. This course explores the design process, including establishing customer requirements and developing product specifications, conceptual design, detailed design, design for manufacturability, competitive analysis and design for the environment. Computer-aided applications and case studies are reviewed.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MN 7503 Introduction to Target Costing—Customer Driven Product Design 3 Credits
Target Costing is a disciplined process for determining and realizing a total cost at which a product with specified functionality must be produced to generate the desired profitability at its anticipated selling price. This course presents both the theoretical foundation and the practical application of Target Costing methodology to the product-realization process. The topics include basic accounting, principles of Target Costing, the Target Costing Process, quantifying the customer requirements, defining the product feature set, price forecasting, experience curves, cost- functionality tradeoffs and implementation check lists. The course includes a hands-on design project in which teams of students will apply the principles of target costing to design a new product.
Note: Online version available.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MN 7713 Product Realization Process 3 Credits
Getting new products developed and to market is a major factor in determining global competitiveness. This course uses case studies to illustrate the product-realization process and the successful application of R&D, concurrent engineering, cross-functional teams, continuous improvement, computer applications, target costing and management of new product development.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MN 7763 Manufacturing Resources Planning 3 Credits
This course discusses computerized systems to run a manufacturing business effectively. Also discussed are the process of software specification, evaluation, selection and implementation. Other topics include manufacturing resources planning logic, enterprise resource planning, manufacturing-execution systems, inventory management and bill of materials. Several software systems and their features are highlighted.
Also listed under: IE 7763 .
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MN 7853 Computer Integrated Manufacturing Systems (CIMS) 3 Credits
This course introduces the basic concepts of manufacturing products with complex processes that rely heavily on computer and data-processing technologies. All aspects relative to products and processes-planning, design, manufacturing, shipping are addressed from a variety of perspectives. Techniques to manage and optimize manufacturing productivity are explored.
Also listed under: IE 7853 .
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MN 7873 Lean Manufacturing 3 Credits
This course provides an overview to the basic principles, and theories of lean manufacturing which involves identifying and eliminating non-value-adding activities in design, production, and supply chain management. Students will learn an integrated approach to efficient manufacturing with emphasis on synchronized product, quick changeover, cell design, visual factory, value stream, one-piece flow and understand the metrics used to monitor performance.
Also listed under: IE 7873 .
Note: Online version available.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MN 7883 Manufacturing Systems Engineering 3 Credits
This course concentrates on contemporary techniques for product design and manufacture, including financials of the manufacturing firm, quality, reliability, Taguchi methods of product and process design, scale up and partitioning, production flows, modern manufacturing methods such as Just- In-Time/Total-Quality-Control, pull and synchronized manufacturing. Cultural factors are also discussed.
Also listed under: IE 7883 .
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MN 7893 Production Science 3 Credits
This course reviews just-in-time and synchronous manufacturing methods. It analyzes the basic dynamics of factories to understand the importance of congestion and bottleneck rates on cycle time and inventories. Analytical models are developed to study variability and randomness introduced by breakdown, setups and batching. Simulation studies are used to provide data on performance of transfer lines.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MN 7923 Design for Manufacturability 3 Credits
This course introduces concepts and techniques for economical, functionally sound and high-quality product design for manufacture. The emphasis is on designing for easy robotic and manual assembly, and on using plastics effectively to reduce manufacturing costs. Managerial and organizational approaches and case studies of successful designs are reviewed.
Also listed under: IE 7923 .
Note: Online version available.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MN 7933 Environmental Health and Safety 3 Credits
This course presents an overview of environmental, health and safety management. Students are introduced to management systems within a manufacturing operation. The course explores the motivations and strategies for environmental, health and safety management. Students learn about the mandatory standards along and about the technical and legal rationale for insuring that workers have a safe and healthy workplace. Because workers safety and health are protected by laws, these skills are needed to work effectively in operations; human resources and employee development as well as industrial relations.
Also listed under: IE 7933 .
Note: Online version available.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MN 7943 Physical Design of Products
This graduate course is offered irregularly in response to industry demand.
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MN 7953 Basics of Supply Chain Operations Management 3 Credits
Supply chain operations seeks to integrate and accelerate the flow of materials, information and cash, throughout the process of supplying goods or services. Supply chain operations optimizes the efforts of suppliers, manufacturers, warehouses, distributors, retailers and customers to create an efficient and robust process. On the service side the same concepts prevail with the suppliers, institutions, providers, administrators and customers. All businesses are part of a supply chain, and understanding and realizing this relationship leads to economies of time, mate- rial, money and improved customer service.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MN 7963 Electronics Systems Manufacturing 3 Credits
In this course, students understand that the physical design and manufacturability of modern electronics systems results from tradeoffs involving partitioning, electrical performance, cooling and mechanical stresses. Design parameters are derived to study the tradeoffs, along with specific examples from reverse-engineering studies. The current status and future directions of low-cost, high-volume manufacturing technologies are examined.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MN 7983 Supply Chain Infrastructure 3 Credits
Effective supply chain operations require well designed, quality products, and the echelons of the supply chain must operate as a team. These elements, also termed the infrastructure, are presumed to exist. The objective of this course is to provide detailed information on the infrastructure elements required to operate a competitive supply chain. This infrastructure will cover product design and development, quality, employee involvement and communication, supplier and customer relationships, logistics, warehousing, information technology and e-business. Among the topics covered in detail will be product realization process and product design; house of quality; quality improvement process; six sigma; kaizan; employee motivation; communication and team dynamics; logistics including networks, third and fourth party organizations; warehousing, including optimum location, innovative information technology and e-business models.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MN 7993 Supply Chain Engineering 3 Credits
Students in this course gain an understanding of how companies plan, source, make and deliver their products with a global competitive advantage. The course stresses the engineering components in developing an integrated supply chain that covers the entire manufacturing enterprise. It looks at the supply-chain infrastructure and the velocities of different models. The focus is on understanding and detecting the constraints of the infrastructure and the lowest common denominator of the information system used. Students also gain an understanding of logistical networks and the optimizing of the various traffic and location alternatives. Synchronization of supply and demand is examined in detail, looking at variability in both processes with the objective of maximizing throughput and capacity, emphasizing partnering, e-commerce and the bullwhip effect. Finally, the course establishes global performance measurements that compare companies in different industries.
Also listed under: IE 7993 .
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MN 8023 Thermal Design of Electronics System for Performance and Reliability
This graduate course is offered irregularly in response to industry demand.
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MN 8043 Thermal Issues in Manufacturing Processes
This graduate course is offered irregularly in response to industry demand.
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MN 8643 New Product Development 3 Credits
This course examines the dynamics of technology and the pressures of competition that drive enterprises to make their product-development and production processes strategically more effective and economically more cost and time efficient. The course covers the state of the art in new product activities for services and manufacturing firms. It also examine in-depth the linkages among marketing, technology and manufacturing technology.
Also listed under: MG 8643 .
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MN 8653 Managing Technological Change and Innovation 3 Credits
This course focuses on how to manage effectively technological change and innovation by using a dual perspective. One perspective is based on individual, group and organizational theory, research and practice. This body of literature, viewpoints and experience provides essential guides to manage successfully the introduction of new technologies. Realizing the full potential of new technologies requires managing change effectively to assure 100 percent stakeholder commitment. The second perspective is based on innovation theory, research and practice. This body of literature, viewpoints and experience provides key insights to manage effectively the process of innovation and the impact of innovation on all parts of an enterprise. Specifically, explicit consideration is given to a firm’s to manage and inspire people so that they can communicate and innovate effectively.
Also listed under: MG 8653 .
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MN 9113 Selected Topics in Manufacturing Engineering I 3 Credits
Areas not covered in other courses. Specific topics vary according to the instructor, who may be a visiting professor. Topics and prerequisites are announced during the term before the offering.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MN 9123 Selected Topics in Manufacturing Engineering II 3 Credits
Areas not covered in other courses. Specific topics vary according to the instructor, who may be a visiting professor. Topics and prerequisites are announced during the term before the offering.
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MN 9303 Readings in Manufacturing Engineering I 3 Credits
In this course, students read selected papers and current literature in specialized area of study and are guided by a faculty member. The topic must be beyond the scope of regularly offered courses. The topic must be agreed upon by the student and adviser before registration. A written report on the topic is required.
Prerequisite(s): Approval of adviser, instructor and department head.
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MN 9313 Readings in Manufacturing Engineering II 3 Credits
In this course, students read selected papers and current literature in specialized area of study and are guided by a faculty member. The topic must be beyond the scope of regularly offered courses. The topic must be agreed upon by the student and adviser before registration. A written report on the topic is required.
Prerequisite(s): Approval of adviser, instructor and department head.
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MN 9963 MS Report I 3 Credits
This course is an independent project that demonstrates a student’s professional maturity and graduate-level knowledge. Students, guided by an adviser, are expected to demonstrate experimental work, software development and extensive analyses. A student’s report must include results in one or more of these areas: critical analysis and interpretation of pertinent literature. A required written report (unbound) should represent a worthy contribution.
Prerequisite(s): Adviser’s approval.
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MN 9973 MS Report II 3 Credits
With approval by the graduate adviser, some students may take a 6-credit MS report. This report should be planned during registration for MN 9963 . In such cases, MN 9973 is used for the second half of the registration. A grade of S or U is awarded in MN 9963 in these cases, and the letter grade given in MN 9973 applies to all 6 credits.
Prerequisite(s): Adviser’s approval.
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MT 2811 Materials Science Laboratory 1 Credits
Students learn to characterize the microstructure and crystal structure of a material by optical and scanning electron microscopy and X-ray diffraction. The mechanical characterization is accomplished by hardness, tensile and yield strength, impact and fatigue testing.
Prerequisite(s): PH 1013 and CM 1004 . Corequisite(s): MT 2813 .
Weekly Lecture Hours: 0.5 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 1.5
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MT 2813 Introduction to Materials Science 3 Credits
Students in this course become familiar with atomic structure and bonding, atomic arrangement in crystals, crystal imperfections, mechanical behavior and failure of materials and binary phase diagrams.
Prerequisite(s): PH 1013 and CM 1004 . Corequisite(s): MT 2811 .
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MT 4853 Manufacturing Engineering and Processes 3 Credits
This course introduces the manufacturing processes for fabricating components used in mechanical systems; casting processes; bulk metal deformation and sheet-metal forming processes; materials-removal processes; Joining and fastening processes; manufacturing automation; and integrated manufacturing systems.
Prerequisite(s): MT 2811 and MT 2813 .
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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Mathematics |
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MA 1 Pre-college Math NC Credits
This coursed reviews trigonometry, quadratic and absolute value questions and inequalities, limits and differentiation of both algebraic and trigonometric functions.
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MA 902 Introduction to Precalculus 2 Credits
This course covers foundations of Algebra: exponents, multiplication of algebraic expressions, factoring algebraic expressions, working with algebraic fractions, proportionality, rates of change, equation of a line, completing squares, the quadratic formula, solving equations, system of linear equations, inequalities, domain and range of functions.
Prerequisite(s): Placement exam.
Note: Credit for this course may not be used to satisfy the minimum credit requirement for graduation.
Weekly Lecture Hours: 6 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MA 912 Precalculus A 2 Credits
This course covers exponential and logarithmic functions, transformations of functions; trigonometric functions.
Prerequisite(s): MA 902 .
Note: Credit for this course may not be used to satisfy the minimum credit requirement for graduation.
Weekly Lecture Hours: 6 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MA 914 Precalculus 4 Credits
This course covers foundations of algebra: exponents, multiplication of algebraic expressions, factoring algebraic expressions, working with algebraic fractions, proportionality, rates of change, equation of a line, completing squares, the quadratic formula, solving equations, systems of linear equations, inequalities, domain and range of functions, exponential and logarithmic functions, compositions, transformations of functions, right triangles, trigonometry of triangles.
Prerequisite(s): Placement exam. Corequisite(s):
Note: Credit for this course may not be used to satisfy the minimum credit requirement for graduation.
Weekly Lecture Hours: 6 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MA 922 Precalculus B 2 Credits
Continuation of Precalculus: trigonometric functions, compositions, inverses and combinations of functions, polynomial and rational functions.
Prerequisite(s): MA 912 .
Note: Credit for this course may not be used to satisfy the minimum credit requirement for graduation.
Weekly Lecture Hours: 6 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MA 954 Precalculus B 4 Credits
This course covers the fundamentals of algebra with a focus on Management and the Life Sciences. The topics include: foundations of algebra, solving equations, exponents, working with algebraic expressions, working with algebraic fractions, proportionality, rates of change, lines in the plane, completing squares, the quadratic formula, systems of linear equations, inequalities, graphs, exponentials, logarithms, inverses, compositions, transformations of functions and right angle trigonometry.
Prerequisite(s): Placement exam. Corequisite(s):
Note: Course required only for specific Majors in place of MA 914. Credit for this course may not be used to satisfy the minimum credit requirement for graduation.
Weekly Lecture Hours: 6 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MA 1002 The Art of Mathematics 2 Credits
This is an introductory course about Mathematics. Areas of Mathematics. History of Mathematics. Mathematical Methods. Great Mathematicians. Famous open and solved mathematical problems. The study of Mathematics. Mathematical Software.
Weekly Lecture Hours: 2 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MA 1024 Calculus I 4 Credits
This course covers: Library of functions, functions of one variable. Limits, derivatives of functions defined by graphs, tables and formulas, differentiation rules for power, polynomial, exponential and logarithmic functions, derivatives of trigonometric functions, the product and quotient rule, the chain rule, applications of the chain rule, maxima and minima, optimization. MA 1324 is for students who wish to take MA 1024 but need more review of precalculus. MA 1324 covers the same material as MA 1024 but with more contact hours a week, incorporating a full discussion of the required precalculus topics.
Prerequisite(s): Placement exam or MA 912 or MA 914 . Corequisite(s):
Weekly Lecture Hours: 4 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MA 1054 Calculus I with Precalculus 4 Credits
This course covers limits, definition of the derivative, differentiation rules for polynomial and trigonometric functions, applications of the chain rule and introduction to optimization. This Calculus I course provides an indepth review of precalculus.
Prerequisite(s): Placement exam, MA 954 , or MA 912 or equivalent. Corequisite(s):
Note: course required only for specific majors in place of MA 1024/1324.
Weekly Lecture Hours: 6 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MA 1124 Calculus II 4 Credits
This course covers definite integrals, theorems about integrals, anti-derivatives, second fundamental theorem of calculus, techniques of integration, introduction to ordinary differential equations, improper integrals, numerical methods of integration, applications of integration, sequences, series, power series, approximations of functions via Taylor polynomials, Taylor series. MA 1424 is for students who wish to take MA 1124 but need more review of precalculus. MA 1424 covers the same material as MA 1124 but with more contact hours a week, incorporating a full discussion of the required precalculus topics.
Prerequisite(s): MA 1024 or MA 1324 . Corequisite(s):
Note: credit for this course may be used to satisfy the minimum credit requirement for graduation.
Weekly Lecture Hours: 4 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MA 1132 Numerical Methods for Calculus 2 Credits
Parametrized curves. Elementary Numerical Analysis. Introduction to differential equations. Solution of first and second order linear differential equations with constant coefficients. Use of mathematical software to solve differential equations. Fourier series.
Prerequisite(s): AP credit or transfer credit for Calculus I and II. Corequisite(s):
Weekly Lecture Hours: 4 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MA 1154 Calculus II with Precalculus 4 Credits
This course covers the first and second derivative, optimization problems, antiderivatives, fundamental theorem of calculus, techniques of integration, logarithmic and exponential functions, numerical methods of integration, applications of integration, introduction to differential equations, introduction to series. This Calculus II course provides an in-depth review of precalculus.
Prerequisite(s): MA 1054 . Corequisite(s):
Note: course required only for specific majors in place of MA 1124/1424.
Weekly Lecture Hours: 6 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MA 1252 Calculus for Business and Life Sciences IIA 2 Credits
This course covers antidifferentiation, the definite integral, integration by substitution, the Fundamental Theorem of Calculus, area enclosed between curves, average value, integration by parts, introduction to differential equations, improper integrals, numerical integration.
Prerequisite(s): MA 1054 . Corequisite(s):
Note: Course required only for specific majors.
Weekly Lecture Hours: 6 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MA 1324 Integrated Calculus I 4 Credits
This course covers: Library of functions, functions of one variable. Limits, derivatives of functions defined by graphs, tables and formulas, differentiation rules for power, polynomial, exponential and logarithmic functions, derivatives of trigonometric functions, the product and quotient rule, the chain rule, applications of the chain rule, maxima and minima, optimization. MA 1324 is for students who wish to take MA 1024 but need more review of precalculus. MA 1324 covers the same material as MA 1024 but with more contact hours a week, incorporating a full discussion of the required precalculus topics.
Prerequisite(s): Placement exam or MA 912 or MA 914 . Corequisite(s):
Weekly Lecture Hours: 6 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MA 1424 Integrated Calculus II 4 Credits
This course covers definite integrals, theorems about integrals, anti-derivatives, second fundamental theorem of calculus, techniques of integration, introduction to ordinary differential equations, improper integrals, numerical methods of integration, applications of integration, sequences, series, power series, approximations of functions via Taylor polynomials, Taylor series. MA 1424 is for students who wish to take MA 1124 but need more review of precalculus. MA 1424 covers the same material as MA 1124 but with more contact hours a week, incorporating a full discussion of the required precalculus topics.
Prerequisite(s): MA 1024 or MA 1324 . Corequisite(s):
Note: credit for this course may be used to satisfy the minimum credit requirement for graduation.
Weekly Lecture Hours: 6 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MA 2012 Elements of Linear Algebra I 2 Credits
This course introduces vector concepts. Linear transformations. Matrices and Determinants. Characteristic roots and eigenfunctions.
Prerequisite(s): MA 1124 or equivalent.
Weekly Lecture Hours: 4 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MA 2054 Applied Business Data Analysis I 4 Credits
This course covers applications of theories of random phenomena to problems in business management. Topics include probability theory, discrete and continuous probability distributions, sampling, measures of central value and dispersion, sampling distributions, statistical estimation and introduction to hypothesis testing. Use of statistical software is integrated with the previous topics; examples are drawn from problems in business decision-making. Applications to advanced statistical applications in business management. Emphasis is on application of concepts. Use of statistical software integrated with the previous topics.
Prerequisite(s): MA 1054 or equivalent.
Note: Course required only for Management Majors. Credit for this course may not be used to satisfy the requirements for other majors.
Weekly Lecture Hours: 4 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MA 2112 Multivariable Calculus A 2 Credits
This course introduces Multivariable Calculus. Analysis of functions of several variables, vector valued functions, partial derivatives, optimization techniques.
Prerequisite(s): MA 2012 .
Weekly Lecture Hours: 4 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MA 2122 Multivariable Calculus B 2 Credits
This course continues Multivariable Calculus. Multiple integrals, parametric equations, vector fields, line integrals, surface integrals and major theorems concerning their applications.
Prerequisite(s): MA 2112 .
Weekly Lecture Hours: 4 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MA 2132 Ordinary Differential Equations 2 Credits
This course covers first order differential equations: modeling and solving. Stability of autonomous equations. Higher order linear ordinary differential equations: Solution bases, Wronskian and initial value problems. Linear systems of first-order differential equations with constant coefficients: Elimination and eigenvalue method of solution. Elementary concepts of numerical analysis. Numerical solution of initial value problems for ordinary differential equations.
Prerequisite(s): MA 2012 .
Weekly Lecture Hours: 4 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MA 2212 Data Analysis I 2 Credits
This course covers basic theory of probability. Random variables. Distributions. Expectation. Functions of a random variable. Descriptive statistics. Data description. Sampling distributions. Use of statistical software is integrated with previous topics.
Prerequisite(s): MA 1124 or equivalent.
Weekly Lecture Hours: 4 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MA 2222 Data Analysis II 2 Credits
This course covers point and interval estimation. Hypothesis testing. Linear regression. One-way analysis of variance. Use of statistical software is integrated with the previous topics.
Prerequisite(s): MA 2212 .
Weekly Lecture Hours: 4 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MA 2312 Discrete Mathematics I 2 Credits
This course covers logic and induction. Sets and functions. Recursive definitions. Counting techniques. Inclusion-exclusion principle.
Prerequisite(s): MA 1124 or equivalent.
Weekly Lecture Hours: 4 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MA 2322 Discrete Mathematics II 2 Credits
This course covers recurrence relations and generating functions. Equivalence relations and partial orderings. Graphs and connectivity of graphs. Trees and sorting. Boolean algebra, languages and finite state machines.
Prerequisite(s): MA 2312 .
Weekly Lecture Hours: 4 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MA 2413 Basic Practice of Statistics 3 Credits
We are inundated by data, but data alone does not translate into useful information. Statistics provides the means for organizing, summarizing, and therefore better analyzing data so that we can understand what the data tell us about critical questions. If one collects data then understanding how to use statistical methods is critical, but it is also necessary to understand and interpret all the information we consume on a daily basis. This course provides these basic statistical approaches and techniques. This course may not be acceptable as a substitute for any other Probability and Statistics course. See your advisor.
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MA 3012 Introduction to Probability I 2 Credits
This course covers probability of events. Random variables. Discrete and continuous distributions. Joint distributions. Expectation. Functions of a random variable.
Prerequisite(s): MA 2112 or equivalent.
Note: Not open to students who have taken MA 2212.
Weekly Lecture Hours: 4 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MA 3022 Probability Theory II 2 Credits
This course covers multivariate random variables, moment generating functions, properties of expectation, limit theorems and gives an introduction to random processes and their applications.
Prerequisite(s): MA 2212 or MA 3012 .
Weekly Lecture Hours: 4 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MA 3103 Problem Solving and Proofs 3 Credits
This course covers mathematical problemsolving, proofs and innovative reasoning. Discussion of independent challenging problems from Analysis, Complex Analysis, Probability, Combinatorics, Linear Algebra, Number Theory and Graph Theory.
Prerequisite(s): MA 2312 and MA 2012 .
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MA 3112 Complex Variables I 2 Credits
This course covers functions of a complex variable. Derivatives and Cauchy-Riemann equations. Integrals and Cauchy integral theorem. Power and Laurent Series. Residue theory.
Prerequisite(s): MA 2122 or equivalent.
Weekly Lecture Hours: 4 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MA 3203 Linear Optimization 3 Credits
This course examines linear optimization problems with constraints; optimality conditions and duality theory, the simplex method, complexity of the simplex method, interior point methods, selected applications, network flow problems and the network simplex method.
Prerequisite(s): MA 2312 and MA 2112 .
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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MA 3303 Differential Geometry 3 Credits
This course covers curves and surfaces. Curvature. First and second fundamental form. Gaussian curvature. Geodesics, Minimal Surfaces. Gauss-Bonnet Theorem.
Prerequisite(s): MA 2122 .
Weekly Lecture Hours: 3 | Weekly Lab Hours: 0 | Weekly Recitation Hours: 0
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