Master of Science: Manufacturing Systems Engineering (Online)

EPD 612 – TECHNICAL PROJECT MANAGEMENT

3 credits.

Learn key principles and tools of project management applicable to a broad range of engineering projects. Covers techniques for project planning, scheduling, resource allocation, and project tracking, as well as the interface between projects and the organizations within which they are executed.

Requisites: Graduate/professional standing

EPD 678 – SUPPLY CHAIN MANAGEMENT FOR ENGINEERS

3 credits.

Examines concepts, management techniques, and current trends in the field of supply chain management with emphasis on topics relevant to engineers. Topics include global logistics, logistics engineering techniques, new product introduction process, purchasing strategy, managing transportation providers, distribution center technology and operations, outsourcing supply chain functions, and an introduction to supply chain information systems.

Requisites: Graduate/professional standing

ISYE 412 – FUNDAMENTALS OF INDUSTRIAL DATA ANALYTICS

3 credits.

Provides an understanding of the fundamentals of using data analytics to make data-driven decisions. Emphasizes applying techniques to industrial engineering problems. Focuses on formulating and solving real industrial problems with the appropriate modeling strategies and analytics principles for better decision making.

Requisites: (I SY E 210, E C E 331, STAT 311, 324, MATH/​STAT 309, 431, or MATH 531), graduate/professional standing, or member of Engineering Guest Students

ISYE 615 – PRODUCTION SYSTEMS CONTROL

3 credits.

An intermediate to advanced course stressing the application of recent operations research techniques to production planning, scheduling and inventory control.

Requisites: I SY E 315, 320, and 323 and (STAT/​MATH 310, STAT 312 or STAT/​MATH 431), graduate/professional standing, or member of Engineering Guest Students

ISYE 618 – QUALITY ENGINEERING AND QUALITY MANAGEMENT

3 credits.

Strategic quality planning, change management, problem identification and solving, process improvement, and performance evaluation. Business and decision-making skills related to quality systems and process improvement.

Requisites: Graduate/professional standing

ISYE/ME 641 – DESIGN AND ANALYSIS OF MANUFACTURING SYSTEMS

3 credits.

Covers a broad range of techniques and tools relevant to the design, analysis, development, implementation, operation and control of modern manufacturing systems. Case studies assignments using industry data will be used to elaborate the practical applications of the theoretical concepts.

Requisites: I SY E 315, graduate/professional standing, or member of Engineering Guest Students

ME 529 – DESIGN AND APPLICATIONS OF SMART MANUFACTURING PROCESSES

3 credits.

Introduction to smart manufacturing. Understand how a company can connect its operational technology systems (e.g., machine tools) to its information technology systems to improve operational efficiency. Covers terminology, sensors and data, industrial computing platforms, data workflow and analysis, cyber-security, human factors, sequential logic control, and case studies of their application in smart manufacturing. Provides the basis for making informed decisions about how manufacturing processes and systems can be designed to be more adaptive (flexible) by automating, collecting the right data, sharing that data, implementing control systems and understanding the impact on humans and organizational systems.

Requisites: Graduate/professional standing

EPD 416 – ENGINEERING APPLICATION OF STATISTICS

3 credits.

Provides knowledge and skills to apply statistics to many types of engineering problems. Focuses on developing statistically-based experimental techniques and tests for measures of validity, application of computer-based statistical tools, and approaches to distillation of data.

Requisites: Graduate/professional standing or declared in Capstone Certificate in Artificial Intelligence for Engineering Data Analytics

EPD 611 – ENGINEERING ECONOMICS AND MANAGEMENT

3 credits.

Addresses principles and practices of interpreting financial information and performing engineering-related economic analyses. Focuses on the practical use of economic information for decision-making.

Requisites: Graduate/professional standing or declared in Capstone Certificate in Applied Engineering Management

EPD 613 – INTERNATIONAL ENGINEERING STRATEGIES AND PRACTICES

3 credits.

Provides a deeper understanding of various elements of culture related to business, avoiding the pitfalls, and finding the complementary strengths that will benefit the business. International strategy and the managerial implications such as product, country, location, and organization choices for a multinational engineering operation will be assessed, analyzed and applied. Further discussion will be focused on multi-cultural organization issues and exploring best practices.

Requisites: Graduate/professional standing

EPD 614 – MARKETING FOR TECHNICAL PROFESSIONALS

3 credits.

Role and contribution of marketing and product management to overall operations; target marketing and market segmentation; product lifecycle positioning; develop product and marketing plan as part of balanced marketing effort; technical perspective on social, ethical, environmental, and sustainability of marketing and product management decisions.

Requisites: Graduate/professional standing. Not open to students declared in Business: Marketing, MBA.

EPD 617 – COMMUNICATING TECHNICAL INFORMATION

3 credits.

Develops skills necessary for engineering professionals to communicate technical and managerial information. Covers approaches for communicating to diverse audiences and for action-oriented purposes. Emphasizes communication problem solving and communication efficiency. Includes individual and collaborative projects using oral, written, and electronic media.

Requisites: Graduate/professional standing

EPD 619 – FOSTERING AND LEADING INNOVATION

3 credits.

Learn to develop vision, culture, and practices that value and drive innovation within engineering and technical organizations. Grow your ability to build an enterprise that values, pursues, and delivers innovative technical services and products.

Requisites: Graduate/professional standing. Not open to students with credit for E P D 708.

EPD 637 – POLYMER CHARACTERIZATION

3 credits.

Basic principles used for both quantitative and qualitative characterization of polymeric materials, including both assessment of their synthesis and of their structural features at different length scales. Discussion of techniques such as NMR (Nuclear Magnetic Resonance) and GPC (Gel Permeation Chromatography), thermal characterization, rheological characterization, as well as scattering of various types of electromagnetic radiation. Introduction to characterization methods used in industry and polymer crystallography.

Requisites: Graduate/professional standing or declared in Capstone Certificate in Polymer Processing & Manufacturing

EPD 638 – POLYMER COATINGS AND ADHESIVES

3 credits.

Introduction to coatings and adhesives, with a focus on the polymer science and chemistry underlying these materials. Topics include film formation, adhesion mechanisms, material characterization, application techniques, and the role of additives in common formulations.

Requisites: Graduate/professional standing or declared in Capstone Certificate in Polymer Processing & Manufacturing

ISYE/ME 512 – INSPECTION, QUALITY CONTROL, AND RELIABILITY

3 credits.

Inspection data for quality control; sampling plans for acceptance inspection; charts for process control. Introduction to reliability models and acceptance testing.

Requisites: (STAT/​MATH 309, STAT 311, 224, 324, or STAT/​MATH 431), graduate/professional standing, or member of Engineering Guest Students

ISYE 516 – INTRODUCTION TO DECISION ANALYSIS

3 credits.

Overview of modeling techniques and methods used in decision analysis, including multiattribute utility models, decision trees, and Bayesian models. Psychological components of decision making are discussed. Elicitation techniques for model building are emphasized. Practical applications through real world model building are described and conducted.

Requisites: (STAT/​MATH 309, STAT 311, or STAT/​MATH 431), graduate/professional standing, member of Engineering Guest Students, or declared in Capstone Certificate in Artificial Intelligence for Engineering Data Analytics

ME 446 – INTRODUCTION TO FEEDBACK CONTROL

3 credits.

Overview of linear feedback control analysis and design techniques for mechanical systems. Modeling of linear dynamic mechanical systems (review), derivation of their defining differential equations, and analysis of their response using both transient and frequency response techniques; Analysis and design of feedback control of mechanical systems using classical control transform techniques such as root locus and frequency response; Analysis of system robustness through evaluation of phase and gain margins and the Nyquist stability criterion. Design of feedback controllers for mechanical systems using frequency domain loop-shaping methods. Design domains, including mechanical, thermal, and fluid feedback control systems. Effects of non-ideal system characteristics commonly encountered in mechanical systems, such as compliance, delay, and actuator and sensor saturation. Builds on knowledge of high-level computational programming language such as Matlab or Simulink.

Requisites: (M E 340 or E M A 545) and (MATH 319 or 320), graduate/professional standing, member of Engineering Guest Students, or declared in Capstone Certificate in Power Conversion and Control. Not open to students with credit for M E 346.

ME 447 – COMPUTER CONTROL OF MACHINES AND PROCESSES

3 credits.

Discrete control theory reduced to engineering practice through a comprehensive study of discrete system modeling, system identification and digital controller design. Selected industrial processes and machines utilized as subjects on which computer control is to be implemented. Focus: computer control economics and planning as well as the control theory and programming.

Requisites: ME 340, 346, or 446, graduate/professional standing, or member of Engineering Guest Students

ME 514 – POLYMER ADDITIVE MANUFACTURING

3 credits.

A quantitative and qualitative study of additive manufacturing processes. Emphasis on proper additive manufacturing technique selection for optimized final product design and properties, as well as presentation of emerging additive manufacturing techniques.

Requisites: Senior standing and (M E 310 or 313), graduate/professional standing, member of Engineering Guest Students, or declared in Capstone Certificate in Polymer Processing and Manufacturing