Manufacturing Curriculum
Manufacturing Curriculum Information
Integrative Science (9-12 Credits)
Required Course (3 Credits)
Course Offerings (6-9 Credits)
- Global Engineering Leadership
- Innovation & Entrepreneurship
- Integrative Thinking
- Model-Based Systems & Design
- Socio-Technology
Career Pathways (9 Credits)
Course Offerings
- Additive Manufacturing
- Digital Manufacturing
- Manufacturing Automation
- Production Systems and Quality Engineering
- Smart Manufacturing
Program Core (6 Credits)
Course Offerings
- Automation and Process Control
- Computational Methods and Simulation
- Industrial Data Analytics
- Supply Chain and Product Lifecycle Management
- Sustainable Manufacturing & Circular Economy
Immersive Practice (3-6 Credits)
Course Offerings
* Please Note: ISD cannot guarantee these courses are available every academic year or every term; these lists are updated on an on-going basis.
Integrative Science
(9-12 Credits)
Required Course
Global Engineering Leadership
Engineering leaders are needed to strategically think and act globally based on an integration of academic excellence in engineering and business, experience in a variety of settings and environments, and the ability to lead across cultures and within organizations of varied sizes. In this field, you will strengthen your ability to develop engineering and business practices, develop cross-cultural leadership competencies, learn how to work within a global community, and lead with purpose, strategy, and vision in the development of sustainable global products, services, and processes for the common good.
Key Competencies:
- Ability to scope and identify unique challenges of global engineering projects:
- Global regulatory issues
- Internationally-recognized engineering and manufacturing quality norms
- Managing technology and legal contracts
- Global Supply Chain Issues/Outsourcing/ Offshoring/
- Re-positioning of Corporations and Subcontractors
- Risk Management
- Cross-cultural decision making
- Understanding consequences/impact of decisions
- Provide tools for taking corrective actions (within context of “real-world” global problems)
- International Cultural Competency
- Multicultural team management and global team leadership
ISD Courses
Additional Course Options
- BIOMEDE 588 (CHE 588) Global Quality Systems and Regulatory Innovation
- EAS 513 (STRATEGY 565) Strategies for Sustainable Development II: Market Transformation
- EAS 550 (STRATEGY 566) Systems Thinking for Sustainable Development and Enterprise
- ECON 435 Financial Economics
- FIN 480 Options & Futures in Corporate Decision Making
- FIN 551 Financial Management Policy
- FIN 615 Valuation
- FIN 647 Corporate Financial Strategy
- IOE 430 Global Cultural Systems Engineering
- MECHENG 589 (ISD 599) Sustainable Design of Technology Systems
- MFG 440 (IOE 440) Operations Analysis and Management
- MFG 455 (IOE 452) Corporate Finance
- MFG 501 (TO 701) Topics in Global Operations
- MFG 605 (TO 605) Manufacturing and Supply Operations
- MO 600 The Science of Success: Who Succeeds, Who Doesn’t, and Why
- MO 600 Developing and Managing High Performing Teams
- NERS 531 (ENSCEN 531, EARTH 529) Nuclear Waste Management
Innovation and Entrepreneurship
Innovation and entrepreneurship drive today’s engineering world. Fueling this growth from global corporations to small businesses and national governments to local governments is a need to build sustainable products, services, and technologies. In this field, you will integrate concepts of innovation and entrepreneurship with engineering, science, and design in pursuit of opportunities to innovate solutions to highly complex problems. Here, you will learn how to be the next industry “true innovators” in strengthening market uptake of raw materials solutions and building a bigger platform for a greener future
Key Competencies:
- Knowledge of market forces
- Financial insight (understanding numbers)
- Strategic thinking
- Negotiation
- Persuasion
- Ability to influence
- Creativity
- Business planning and integration
Courses
- ARTDES 651 Design Studio 1B Integration
- ARTSADMN 510 Arts Entrepreneurship Forum
- ARTSADMN 550 Arts Entrepreneurship Essentials
- BIOMEDE 588 (CHE 588) Global Quality Systems and Regulatory Innovation
- EAS 565 Principles for Transition
- EAS 576 (CEE 588, CHE 590) Sustainability Finance: Investment Model for Green Growth
- ENGR 520 Entrepreneurial Business Fundamentals for Scientists and Engineers
- ENTR 500 An Introduction to Innovation: Tools for Career Success
- ENTR 530 Innovation and Intellectual Property Strategy
- ENTR 599 Innovation for Impact: Defense and Security
- ENTR 599 Reimagining Companies through Innovation
- ES 414 Professional Capstone: Entrepreneurship Practicum
- ES 515 Introduction to Entrepreneurship
- ES 516 Entrepreneurship via Acquisitions
- ES 715 Driving Innovation Processes/Innovative New Business Design
- FIN 629 (ES 629) Financing Technology Commercialization – A Venture Capital Hands-on Challenge
- IOE 506 (MATH 506) Stochastic Analysis of Finance
- MKT 625 New Product and Innovation Management
- PIBS 550 Biomedical Innovation and Entrepreneurship
- SI 663 Innovation Leadership Information
- SW 799 Social Entrepreneurship
- TO 638 (FIN 638) FinTech: Blockchain, Cryptocurrencies, and Other Technology Innovations
Integrative Thinking
Integrative thinking requires seeing problems from multiple viewpoints, taking them all into consideration, and searching for creative solutions through a transformative approach. It requires shifting the focus to the vulnerabilities and capacities of single systems or sectors to interconnected systems and how these will shift over time, taking into account multidirectional interactions of projected changes, responses, and effects. This leads to understanding how to compose a holistic view of a problem, co-construct new knowledge, explore alternative views and methods of problem analysis, and synthesize them into a coherent solution. In this field, you will discover how to integrate across multiple boundaries for the greater good.
Key Competencies:
- Broad technical, business, management, and education experience
- Ability to construct and correlate models that are abstractions of interactions and to evaluate data against the model
- “Big picture” thinking
- Understanding, at least at the top level, what knowledge domains are relevant and prioritizing their importance
ISD Courses
- DESCI 501 (MECHENG 455) Analytical Product Design
- *DESCI 502 Design Process Models
- ISD 520 Introduction to Systems Engineering
- ISD 521 Development and Verification of System Design Requirements
- ISD 522 Systems Engineering Architecture and Design
- ISD 527 (MFG 527) Designing in Quality: A Design for Six Sigma
Additional Course Options
Model Based Systems and Design
Solving complex problems requires deeper levels of systems understanding. Modeling helps designers/engineers work at greater levels of complexity to support system requirements, design, analysis, verification and validation activities beginning in the conceptual design phase and continuing throughout development and later life cycle phases. In this field, you will strengthen your ability to create and implement models to support every stage of the engineering and design process as well as drive learning for modeling, analyzing, and solving complex problems.
Key Competencies:
- Modeling complex systems
- Optimization
- Data analytics
- Behavioral models
- Business/Dynamic modeling
- Qualitative models
- Digital twins development
- Evaluate data quality
ISD Courses
- AUTO 566 (MECHENG 566) Modeling Analysis and Control of Hybrid Electric Vehicles
- ISD 522 Systems Engineering Architecture and Design
- ISD 532 (ESENG 532, EAS 574, PUBPOL 519) Sustainable Energy Systems
- ISD 555 (MFG 555, MECHENG 555) Design Optimization
- ISD 565 (MECHENG 565) Battery Systems and Control
- ISD 599 (NAVARCH 515, MECHENG 599) Residual Stress and Distortion in Modern Manufacturing
- MFG 588 (MECHENG 588, IOE 588) Assembly Modeling for Design and Manufacturing
Additional Course Options
- ACC 601 Accounting Information System Design
- ARCH 708 Systems Engagement
- EAS 550 (STRATEGY 566) Systems Thinking for Sustainable Development and Enterprise
- IOE 434 Human Error and Complex System Failures
- IOE 541 Optimization Methods in Supply Chain
- IOE 574 Simulation Design and Analysis
- MECHENG 589 (ISD 599) Sustainable Design of Technology Systems
- MFG 535 (IOE 533) Human Motor Behavior and Engineering Systems
- MFG 539 (IOE 539) Safety Engineering Methods
- SI 631 Agile Software Development
- SI 648 (LHS 660, HMP 648) Evaluation and Research Methods for Health Informatics and Learning Systems
- SI 652 (EECS 547) Incentives and Strategic Behavior in Computational Systems
Socio-Technology
Engineers are needed to design within social, political, economic, and cultural contexts. In this field, you will design things that participate in complex systems that have both social and technical aspects, study the intersection of society and technology as a grouping of social engineering and management science and learn how to develop new technologies to meet challenges in energy, environment, food, housing, water, transportation, safety, and health. You will also learn the societal impact of engineering and design decisions at the intersection of science and technology.
Key Competencies:
- Socially engaged decision making
- Operational understanding of the impact of technology on society, world, environment (vice versa)
- Global awareness
ISD Courses
Additional Course Options
- BE 527 (EAS 527, NRE527) Energy Markets and Energy Politics
- CEE 586 (EAS 557) Industrial Ecology
- EAS 513 (STRATEGY 565) Strategies for Sustainable Development II: Market Transformation
- EAS 550 (STRATEGY 566) Systems Thinking for Sustainable Development and Enterprise
- EAS 575 Climate Economics and Policy
- EAS 605 (BA 605) Green Development
- EHS 588 Environmental Law
- PUBPOL 563 (EAS 686, HMP 686) Politics of Environmental Regulation
Program Core
(6 Credits)
Automation And Process Control
The design and plan of production facility and processes with the integration of automation equipment (AGV, PLC, Robotics, etc.) process control, and computer simulations. A process control system aims to ensure manufacturing processes to be consistently operating at the targeted performance with only natural variation. In this field, you will learn how automation and process control improves safety, reduces overhead costs and unplanned downtime, benefits from increased production quality and capacity, increases process visibility, and improves facility planning and execution.
Key Competencies:
- Industrial control software (CNC, AGV, PLC)
- Data analytics and computer simulations
- Human robot interaction
ISD Courses
Additional Course Options
- IOE 525 Lean Principles and Scientific Thinking in Organizations
- MFG 543 (IOE 543) Scheduling
- MFG 552 (MECHENG 552) Mechatronic Systems Design
- MFG 553 (MECHENG 553) Microelectromechanical Systems
- MFG 562 (MECHENG 560) Modeling Dynamic Systems
- MFG 567 (MECHENG 567, EECS 567, ROB 510) Robot Kinematics and Dynamics
- MFG 584 (MECHENG 584) Advanced Mechatronics for Manufacturing
Computational Methods And Simulation
The use of Computational Methods and Simulation software for analysis and optimal design of manufacturing processes and products with the basic understanding of material properties. This is used at the design stage for verifying a design of products and manufacturing processes under various operating conditions (e.g. working load and environmental stress) that products/processes will experience in the field. The computer simulations are used to replace physical prototype tests, which can shorten the development cycle, reduce the verification testing cost, and increase manufacturing quality and products reliability. In this field, you will learn 3D geometric modeling, physics-based computational simulation software, mathematical optimization, and uncertainty quantifications.
Key Competencies:
- Computer Aided Design and Engineering
- Finite Element Analysis and Simulation
- Computational Fluid Dynamics Simulation
- Design Optimization and Verification
- Uncertainty Quantification and Computer Model Calibration
ISD Courses
Additional Course Options
Industrial Data Analytics
Industrial data analytics involve the construction of explanatory and predictive models from various industrial data such as experimental tests, computer simulations, distributed sensor measurements and system operational data. In this field, you will learn how to use advanced analytics techniques, powered by machine learning and artificial intelligence, to make a data-driven optimal decision for smart manufacturing like optimal design, predictive maintenance, root cause analysis, and in-process quality control.
Key Competencies:
- Computer model calibration and uncertainty quantification (UQ)
- Machine learning methods
- Fusion of physics-based and data-driven models
- Data-analysis skills and visualization software
Courses
- EECS 505 Computational Data Science and Machine Learning
- EECS 545 Machine Learning
- EECS 598 Unsupervised Feature Learning
- HS 650 Data Science and Predictive Analytics
- IOE 574 Simulation Design and Analysis
- MECHENG 599 Computational & Data – Driven Methods in Engineering
- STATS 503 Statistical Learning II: Multivariate Analysis
- STATS 605 Advanced Topics in Modeling and Data Analytics
- TO 640 Big Data Management: Tools and Techniques
Supply Chain And Product Lifecycle Management
Supply chain operations and product lifecycle management directly impact product quality, manufacturing cost, and the overall profitability of a company. In this field, you will learn how manufacturing industries make decisions for turning raw materials into finished products that involve active streamlining of a business’s supply-side activities to maximize customer value and gain a competitive advantage in the marketplace. This will include supply chain management, optimization, and system integration.
Key Competencies:
- Enterprise resource planning (ERP) software
- Math modeling and software for material requirements planning (MRP), logistics and supply chain
- Optimization algorithms
- System integration with economics and accounting
Sustainable Manufacturing & Circular Economy
Manufacturing is one of significant sources of pollution resulting in numerous environmental impacts such as climate change. Sustainable manufacturing and the circular economy provides a framework for reducing pollutants from the whole product lifecycle, including manufacturing operations, products recycling, and supply chain management. In this field, you will learn how to quantify the uncertainties cross lifecycle environmental impacts, to make improved design, manufacturing, and supply chain decisions for environmental sustainability, and to evaluate potential tradeoffs and co-benefits with other manufacturing performance metrics such as speed and cost.
Key Competencies:
- Life cycle assessment and material flow analysis
- Thermodynamics (e.g., exergy analysis) and the destruction of natural resources
- Fundamentals of renewable energy
- Environmentally motivated material and process selection
- Design for recycling and for using recycled feed stocks
- Lifecycle economic and environmental evaluation of key manufacturing processes
- Recycling system analysis and reverse supply chains
- Design and manufacturing for material efficiency
ISD Courses
- ISD 555 (MFG 555, MECHENG 555) Design Optimization
- ISD 599 (MFG 599, MECHENG 599) Foundations in Smart Additive Manufacturing
- ISD 599 (MECHENG 599) Lithium Battery Engineering and Life Management
Additional Course Options
- CEE 586 (EAS 557) Industrial Ecology
- EAS 550 (STRATEGY 566) Systems Thinking for Sustainable Development and Enterprise
- IOE 541 Optimization Methods in Supply Chain
- MECHENG 577 (MATSCIE 521) Use of Materials and their Selection in Design
- MECHENG 589 (ISD 599) Sustainable Design of Technology Systems
- MECHENG 599 Fundamentals of Renewable Energy Processes
Career Pathways
(9 Credits)
Additive Manufacturing
Additive manufacturing like 3D printing is an emerging manufacturing process with the advantages of saving on material waste and energy, a low prototyping cost, a faster development cycle for a small production run products. In this field, you will learn the design and development of 3D products through the use of computational digital design tools and 3D printing equipment as well as the assessment of product life cycle on business benefits. You will also learn the knowledge about design and verification, materials fundamentals, monitoring, diagnostics and control, topology, topology optimization, and generative design as well as the fundamental principles of material science and additive manufacturing workflow and processes.
Key Competencies:
- Design and verification for additive manufacturing
- Lifecycle economic and environmental evaluation for additive manufacturing
- Materials fundamentals for additive manufacturing
- Monitoring, diagnostics and control for additive manufacturing
- Understanding additive manufacturing workflow and processes
ISD Courses
Additional Course Options
Digital Manufacturing
Digital manufacturing is the use of an integrated, computer-based system comprised of simulation, 3D visualization, analytics and collaboration tools to create product and manufacturing process definitions simultaneously. In this field, you will gain an understanding of and appreciation for the role that technology is playing in this digital manufacturing transformation. You will also learn the fundamental knowledge and the use of computer simulations to integrate product design with the design and plan of manufacturing facility, production systems, process operations. You will get to know how this makes manufacturing industry more responsive and competitive to dynamic market demands.
Key Competencies:
- Digital design software
- Fundamental knowledge of manufacturing processes
- Process modeling and computational simulation software
- Product lifecycle management and manufacturing sustainability
- IoT Technologies
ISD Courses
- ISD 528 (MECHENG 452) Advanced Design for Manufacturability
- ISD 535 (ESENG 535, CEE 564) Greenhouse Gas Control
- ISD 555 (MFG 555, MECHENG 555) Design Optimization
- ISD 599 (NAVARCH 515, MECHENG 599) Residual Stress and Distortion in Modern Manufacturing
- MFG 587 (MECHENG 587) Global Manufacturing
- MFG 588 (MECHENG 588, IOE 588) Assembly Modeling for Design and Manufacturing
Additional Course Options
Manufacturing Automation
Manufacturing automation refers to the use of technologies such as equipment and software to automate production processes. In this field, you will learn how to design and plan production facility and processes with the integration of automation equipment and computer simulations, AI-driven intelligent decisions for manufacturing automation, automated guided vehicle, industrial robotics, programmable logic controller, and warehouse automation systems.
Key Competencies:
- AI-driven intelligent decisions for manufacturing automation
- Automated guided vehicle
- Industrial robotics
- Programmable logic controller
- Warehouse automation systems
ISD Courses
Additional Course Options
Production Systems And Quality Engineering
Production Systems and Quality Engineering includes the plan and operation of production systems and processes to ensure production throughput and products quality, reduce the manufacturing cost, and improve customer satisfaction. In this field, you will learn about data analytics and stochastic optimization, discrete event simulations, experimental design and statistical process control, modeling and control of production systems, reliability analysis and optimal maintenance decision-making, value chain analysis and quality management, production systems scheduling.
Key Competencies:
- Data analytics and stochastic optimization
- Discrete event simulations
- Experimental design and statistical process control
- Modeling and control of production systems
- Reliability analysis and optimal maintenance
- Value chain analysis and quality management
ISD Courses
Additional Course Options
- IOE 474 Simulation
- IOE 570 (STATS 570) Experimental Design
- IOE 574 Simulation Design and Analysis
- MFG 441 (IOE441) Production and Inventory Control
- MFG 466 (IOE 466) Statistical Quality Control
- MFG 547 (IOE 547) Supply Chain Facilities
- MFG 561 (IOE 565) Time Series Modeling, Analysis, Forecasting
- MFG 605 (TO 605) Manufacturing and Supply Operations
Smart Manufacturing
As more companies worldwide are racing to offer more smart products and adopt automation, IIOT and cloud computing, artificial intelligence, and robotics, the manufacturing industry is transforming to Smart Manufacturing, which responds in real time to meet changing demands and conditions in the smart factory, the supply network, and customer needs. In this field, you will learn how to use emerging technologies, such as advanced sensors, digital-twin, 3D visualization and industrial robots, to improve manufacturing design, production systems operation, process control, equipment maintenance, human-machine interaction, and operational safety, which is enabled by IoT for connected factories and advanced data analytics for smart decision making.
Key Competencies:
- Fundamental knowledge of smart manufacturing
- Industry 4.0 and Enabling Technologies (IIOT, cloud services, mobile devices,)
- Computer Simulations
- Data Analytics and Machine Learning for Manufacturing Process Control
- PLC (Programmable Logic Controller); AGV (Automated Guided Vehicle); Industrial Robotics, AR (Augmented Reality) and VR (Virtual Reality)
ISD Courses
Additional Course Options
- EECS 545 Machine Learning
- EECS 584 Advanced Database Management Systems
- EECS 598 Science of Deep Learning
- IOE 525 Lean Principles and Scientific Thinking in Organizations
- IOE 574 Simulation Design and Analysis
- MFG 543 (IOE 543) Scheduling
- TO 618 Applied Business Analytics and Decisions
- TO 628 Advanced Big Data Analytics
- TO 640 Big Data Management: Tools and Techniques
Immersive Practice
(3-6 Credits)
Practicum
Work for leading industry partners to apply what you learn during your ISD coursework in a semester- or year-long project to contribute new ideas and knowledge to high priority engineering and technical issues. Learn more about this component of the ISD Curriculum on the ISD Practicum page.
Courses
Take 3 academic credits per semester for up to two semesters. One capstone project enrollment, or approved alternative, is required for graduation. A second capstone project enrollment in another semester is allowed pending Program Director approval.