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Undergraduate Programs
Home / Undergraduate Programs / Undergraduate Courses

Undergraduate Courses

More information about SIE courses, including fees and grading bases, can be found in the UA Catalog, under Course Descriptions.

Note: Upper division courses, SIE 3xx and SIE 4xx, require Advanced Standing for registration. Students must contact the department to apply for advanced standing.

Required Minors and Technical Electives

In addition to core courses and prerequisites, systems engineering majors and engineering management majors are required to complete an engineering or thematic minor, which consists of 18 unique units primarily composed of technical electives. Industrial engineering majors do not have a minor requirement, but must complete 12 units of technical electives from upper division coursework.

  • Minor Course Guide for Engineering Management (PDF)
  • Minor Course Guide for Systems Engineering (PDF)
  • Technical Elective Guide for Industrial Engineering (PDF)

For information about the degrees offered by the department, see the Undergraduate Degrees page.

SIE 250: Introduction to Systems and Industrial Engineering

SIE 250 Fall Syllabus (PDF), SIE 250 Spring Syllabus (PDF)
Units: 3

System modeling the elementary constructs and principles of system models including discrete-time, discrete-state system theory; finite state machines; modeling components, coupling, modes, and homomorphisms system design; requirements, life-cycle, performance measures and cost measures, tradeoffs, alternative design concepts, testing plan, and documentation. Applications and case studies from engineering.

Prerequisite(s): ENGR 102, MATH 129
Usually offered: Fall, Spring

SIE 265: Engineering Management I

SIE 265 Fall Syllabus (PDF), SIE 265 Spring Syllabus (PDF)
Units: 3

Fundamentals of economic analysis and the time value of money for engineers. Construction of financial models in EXCEL including Income, Cash Flow, and Balance Sheet. Estimation of required capital and project acceptance criteria. Identical to ENGR 265.

Prerequisite(s): MATH 129, ENGR 102
Usually offered: Fall, Spring

SIE 270: Mathematical Foundations of Systems and Industrial Engineering

SIE 270 Spring Syllabus (PDF)
Units: 3

Basics of data structures, transformations, computer methods, their implementation in MATLAB and their applications in solving engineering problems.

Prerequisite(s): ECE 175, MATH 129, PHYS 141
Usually offered: Spring, Summer

SIE 277: Object-Oriented Modeling and Design

SIE 277 Fall Syllabus (PDF)
Units: 3

Modeling and design of complex systems using the Unified Modeling Language (UML). Most effort will be in the problem domain (defining the problem). Some effort will be in the solution domain (designing and/or producing hardware or software).

Prerequisite(s): ECE 175 or CSC 1227A
Usually offered: Fall, Spring

SIE 295S: Systems Engineering Sophomore Colloquium

SIE 295S Fall Syllabus (PDF), SIE 295S Fall (Yuma) Syllabus (PDF), SIE 295S Spring Syllabus (PDF)
Units: 1

A colloquium designed to help students understand what SIE's do. Students will interact with speakers and take tours to local companies. The course helps students select course options within the SIE programs and helps focus on possible SIE applications areas.

Usually offered: Fall, Spring

SIE 305: Introduction to Engineering Probability and Statistics

SIE 305 Fall Syllabus (PDF), SIE 305 Fall-Yuma Syllabus (PDF), SIE 305 Spring Syllabus (PDF)
Units: 3

Axioms of probability, discrete and continuous distributions, sampling distributions. Engineering applications of statistical estimation, hypothesis testing, confidence intervals.

Prerequisite(s): MATH 129
Usually offered: Fall, Spring, Summer

SIE 321: Probabilistic Models in Operations Research

SIE 321 Spring Syllabus (PDF)
Units: 3

Probability, Markov chains, Poisson processes, queuing models, reliability models.

Prerequisite(s): SIE 305
Usually offered: Spring

SIE 330R: Engineering Experiment Design

SIE 330R Spring Syllabus (PDF)
Units: 3

Design and analysis of observational and factorial experiments employing numerical and graphical methods. Topics include control charts, probability plots, multiple regression analysis, confidence and prediction intervals and significance tests.

Prerequisite(s): SIE 305
Usually offered: Spring

SIE 340: Deterministic Operations Research

SIE 340 Fall Syllabus (PDF)
Units: 3

Linear programming models, solution techniques, sensitivity analysis and duality.

Prerequisite(s): SIE 265 and SIE 270 or equivalent knowledge of linear algebra
Usually offered: Fall, Summer

SIE 367: Engineering Management II

SIE 367 Syllabus (PDF)
Units: 3

Strategic, tactical and operational planning; innovation and technological cycles; the elements of entrepreneurship, and human relations topics for technical managers.

Prerequisite(s): SIE 265
Usually offered: Spring

SIE 370: Embedded Computer Systems

SIE 370 Syllabus (PDF)
Units: 4

Boolean algebra, combinational and sequential logic circuits, finite state machines, simple computer architecture, assembly language programming, and real-time computer control.

Usually offered: Fall, Spring

SIE 377: Software for Engineers

SIE 377 Fall Syllabus (PDF)
Units: 3

Rapid prototyping of decision support systems using VBA and Python with Excel and external packages to solve for optimization, build models and simulations, and create scheduling and forecasting tools. Decision support system types include financial, supply chain, product portfolio and facility location and operations.

Prerequisite(s): ECE 175 or CSC 127A or CSC 110
Usually offered: Fall

SIE 383: Integrated Manufacturing Systems

SIE 383 Spring Syllabus (PDF)
Units: 3

Introduction to the integrated manufacturing enterprise and automation. Topics include computer-aided design, process planning, computer numerical control machining, machine vision, application of robots and automation. Typical structure: 2 hours lecture, 2 hours laboratory.

Usually offered: Spring

SIE 406: Quality Engineering

SIE 406 Fall Syllabus (PDF)
Units: 3

Quality, improvement and control methods with applications in design, development, manufacturing, delivery and service. Topics include modern quality management philosophies, engineering/statistical methods (including process control, control charts, process capability studies, loss functions, experimentation for improvement) and TQM topics (customer driven quality, teaming, Malcolm Baldrige and ISO 9000). May be convened with SIE 506.

Prerequisite(s): SIE 305
Usually offered: Fall

SIE 408: Reliability Engineering

SIE 408 Fall Syllabus (PDF)
Units: 3

This is a three-credit course offered for well-qualified seniors, graduate students, and engineering professionals and practitioners. This is an introductory text and will be supplemented with material on many everyday reliability engineering problems e.g. root cause analysis. The course will make use of Minitab™ software. The scope of this course includes: (1) failure distributions, (2) failure rate models and reliability concepts, (3) reliability systems and state-space models, (4) accelerated testing, (5) repair process and availability, (6) Bayesian reliability estimates, (7) case studies. May be convened with SIE 508.

Prerequisite(s): SIE 305 or equivalent
Usually offered: Fall

SIE 410A: Human Factors and Ergonomics in Design

SIE 410A Fall Syllabus (PDF), SIE 410A Spring Syllabus (PDF)
Units: 3

Consideration of human characteristics in the requirements for design of systems, organizations, facilities and products to enable human-centered design which considers human abilities, limitations and acceptance.

Prerequisite(s): SIE 305
Usually offered: Fall, Spring

SIE 411: Human-Machine Interaction

SIE 411 Syllabus (PDF)
Units: 3

Basic concepts, methods, principles and skills in designing and evaluating various human-machine interfaces. Machine here is generally defined as any physical systems that can be operated by human operators. By taking this course, students can not only use several effective methods to design and prototype human-machine interfaces based on the needs and characteristics of users (e.g., PPT method, Visual Basic Applications user interface programming skills; simple Web design techniques etc.), but also apply both quantitative and qualitative evaluation methods to optimize the human performance, mental workload and aesthetics. To broaden students’ view in HMI, relative new topics in HMI are also introduced in this course.

Prerequisite(s): ECE 175 or CSC 110, SIE 305
Usually offered: Contact Department

SIE 414: Law for Engineers and Scientists

SIE 414 Syllabus (PDF)
Units: 3

Topics covered in this course include patents, trade secrets, trademarks, copyrights, product liability contracts, business entities, employment relations and other legal matters important to engineers and scientists. May be convened with SIE 514.

Usually offered: Spring

SIE 415: Technical Sales and Marketing

SIE 415 Fall Syllabus (PDF), SIE 415 Spring Syllabus (PDF)
Units: 3

Principles of the engineering sales process in technology-oriented enterprises; selling strategy, needs analysis, proposals, technical communications, electronic media, time management and ethics; practical application of concepts through study of real-world examples. May be convened with SIE 515.

Usually offered: Fall, Spring

SIE 422: Engineering Decision-Making Under Uncertainty

SIE 422 Fall Syllabus (PDF), SIE 422 Fall - Online Syllabus (PDF)
Units: 3

Foundations of decision analysis contextualized for engineering work. Students will learn to frame and model engineering problems as decisions that traverse physics by incorporating the firm’s objectives and the personal preferences of the engineer. In addition, the course will present formal and informal limitations of decision methods traditionally used in engineering, such as rank matrices, and will provide students with alternative theories and methods that foster better decisions. Finally, the course will present the notion of risk assessment and management as inherent to engineering decision-making, instead of as an independent engineering process.

Prerequisite(s): SIE 305
Usually offered: Fall

SIE 430: Engineering Statistics

SIE 430 Fall Syllabus (PDF)
Units: 3

Statistical methodology of estimation, testing hypotheses, goodness-of-fit, nonparametric methods and decision theory as it relates to engineering practice. Significant emphasis on the underlying statistical modeling and assumptions. May be convened with SIE 530.

Prerequisite(s): Calculus and SIE 305
Usually offered: Fall

SIE 431: Simulation Modeling and Analysis

SIE 431 Fall Syllabus (PDF), SIE 431 Spring Syllabus (PDF)
Units: 3

Discrete event simulation, model development, statistical design and analysis of simulation experiments, variance reduction, random variate generation, Monte Carlo simulation. May be convened with SIE 531.

Prerequisite(s): SIE 305
Usually offered: Fall, Spring

SIE 432: Sports Analytics

Units: 3

This course provides fundamental analytical skills necessary to analyze data and make decisions using sports examples. These skills include critical thinking, statistical analysis, computer programming, and data visualization which are generally applicable to other areas of engineering and business. May be convened with SIE 532.

Prerequisite(s): SIE 305
Usually offered: Summer

SIE 433: Fundamentals of Data Science for Engineers

SIE 433 Syllabus (PDF)
Units: 3

This course will provide senior undergraduate and graduate students from diverse engineering disciplines with fundamental concepts, principles and tools to extract and generalize knowledge from data. Students will acquire an integrated set of skills spanning data processing, statistics and machine learning, along with a good understanding of the synthesis of these skills and their applications to solving problem. The course is composed of a systematic introduction of the fundamental topics of data science study, including: 1) principles of data processing and representation, 2) theoretical basis and advances in data science, 3) modeling and algorithms, and 4) evaluation mechanisms. The emphasis in the treatment of these topics will be given to the breadth, rather than the depth. Real-world engineering problems and data will be used as examples to illustrate and demonstrate the advantages and disadvantages of different algorithms and compare their effectiveness as well as efficiency, and help students to understand and identify the circumstances under which the algorithms are most appropriate. May be convened with SIE 533. Offered Spring, starting Spring 2023.

Prerequisite(s): SIE 305
Usually offered: Spring

SIE 440: Survey of Optimization Methods

SIE 440 Syllabus (PDF)
Units: 3

Survey of methods including network flows, integer programming, nonlinear programming, and dynamic programming. Model development and solution algorithms are covered. May be convened with SIE 540.

Prerequisite(s): SIE 340
Usually offered: Spring

SIE 454A: Systems Engineering Process

SIE 454A Fall Syllabus (PDF), SIE 454A Spring Syllabus (PDF)
Units: 3

Processes and tools for engineering large-scale, complex systems: resources, architecture, requirements, risk management, concept design, preliminary design, detail design, decision making, tradeoff studies, life-cycle models, requirements decomposition, verification planning, life cycle planning, product maintenance, teamwork, and documentation. May be convened with SIE 554A.

Prerequisite(s): Advanced standing in the College of Engineering or SIE 250
Usually offered: Fall, Spring

SIE 455: Sensor Systems Engineering

SIE 455 Syllabus (PDF)
Units: 3

The primary purpose of this course is to provide students with a system-level understanding of sensor development. The student will see the development of remote sensing techniques beginning with high level requirements through concept of operations, architecture development, subsystem modeling and culminating in integration, validation and verification. The student will be exposed to key design parameters for radar and Electro Optical sensing systems that drive both system cost and performance. Advanced multi-sensor systems and adaptive signal processing will also be discussed.

Prerequisite(s): SIE 305
Usually offered: Spring

SIE 457: Project Management

SIE 457 Fall Syllabus (PDF), SIE 457 Spring Syllabus (PDF)
Units: 3

Foundations, principles, methods and tools for effective design and management of projects in technology-based organizations. This course focuses on the scope, time, cost, performance and quality concerns of engineering projects characterized by risk and uncertainty. Initiating, planning, executing, monitoring, controlling and closing process are addressed. Students design and complete a project from concept through completion. Project Management software is utilized. May be convened with SIE 557.

Prerequisite(s): SIE 305 or consent of instructor
Usually offered: Fall, Spring

SIE 458: Model-Based Systems Engineering

SIE 458 Syllabus (PDF)
Units: 3

An introduction to model-based systems engineering (MBSE), which is the formalized application of modeling 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. The course emphasizes practical use of the Systems Modeling Language (SysML) and MBSE methods. 

Prerequisite(s): SIE 454A
Usually offered: Spring

SIE 462: Production Systems Analysis

SIE 462 Syllabus (PDF)
Units: 3

Production systems, quantitative methods for forecasting, aggregate planning, inventory control, materials requirement planning, production scheduling, manpower planning and facility design.

Prerequisite(s): SIE 305, SIE 340 or consent of advisor.
Usually offered: Spring

SIE 464: Cost Estimation

SIE 464 Syllabus (PDF)
Units: 3

Focuses on principles of cost estimation and measurement systems with specific emphasis on parametric models. Approaches from the fields of hardware, software and systems engineering are applied to a variety of contexts (risk assessment, judgment and decision-making, performance measurement, process improvement, adoption of new tools in organizations, etc.). Material is divided into five major sections: cost estimation fundamentals, parametric model development and calibration, advanced engineering economic principles, measurement systems and policy issues.

Usually offered: Spring

SIE 465: Supply Chain Management

SIE 465 Syllabus (PDF)
Units: 3

Fundamentals of Supply Chain Management including inventory/logistics planning and management, warehouse operations, procurement, sourcing, contracts and collaboration. May be convened with SIE 565.

Prerequisite(s): SIE 305 and SIE 340
Usually offered: Spring

SIE 466: Life Cycle Analysis for Sustainable Design and Engineering

SIE 466 Syllabus (PDF)
Units: 3

This course will provide senior undergraduate and graduate students the conceptual, methodological, and scientific bases to quantify and improve the impact of engineering decisions on the environment, with a focus on applying life cycle analysis (LCA). The course will foster students to assess the environmental sustainability early on in their research to help design and develop more sustainable materials, products, and processes including manufacturing, logistics, and supply chain. Main topics covered include concept of life cycle thinking, computational structure of LCA, process based LCA, economic input-output LCA, LCA software tools and databases, case studies, recent development, and advanced topics in LCA. The students will be able to approach problems with life cycle perspectives, conduct LCA according to the ISO 14040 standards, and understand the strengths and weaknesses of LCA studies.

Prerequisite(s): Advanced Standing required.
Usually offered: Spring

SIE 471: Systems Cyber Security Engineering

SIE 471 Syllabus (PDF)
Units: 3

The purpose of this course is to introduce selected topics, issues, problems, and techniques in the area of System Cyber Security Engineering (SCSE), early in the development of a large system. Students will explore various techniques for eliminating security vulnerabilities, defining security specifications / plans, and incorporating countermeasures in order to achieve overall system assurance. SCSE is an element of system engineering that applies scientific and engineering principles to identify, evaluate, and contain or eliminate system vulnerabilities to known or postulated security threats in the operational environment. May be convened with SIE 571.

Prerequisite(s): ECE 175 or instructor approval
Usually offered: Fall

SIE 472: Information Security and Research (INSuRE)

SIE 472 Syllabus (PDF)
Units: 3

This course engages students in diverse and varied national cybersecurity/information systems security problems, under an existing and very successful umbrella program called “INSuRE”, that enables a collaboration across several universities, cyber professionals and cross-disciplined cyber related technologies. Led by Stevens Institute of Technology and made possible by a grant from the NSA and NSF, INSuRE has fielded a multi-institutional cybersecurity research course in which small groups of undergraduate and graduate students work to solve unclassified problems proposed by NSA, other US government agencies, and/or private organizations and laboratories. Students will learn how to apply research techniques, think clearly about these issues, formulate and analyze potential solutions, and communicate their results with sponsors and other participating universities.

Working in small groups under the mentorship of technical experts from government and industry, each student will formulate, carry out, and present original research on current cybersecurity / information assurance problems of interest to the nation. This course will be run in a synchronized distance fashion, coordinating activities with other INSuRE technical clients and sponsors, along with partnering universities which are all National Centers of Academic Excellence in Cyber Defense Research (CAE-R).

Prerequisite(s): Strongly recommended: SIE 471, ECE 478
Usually offered: Spring

SIE 473: Engineering of Trustworthy Secure Systems

SIE 473 Syllabus (PDF)
Units: 3

The purpose of this course is to explore widely accepted security frameworks, industry standards, and techniques employed in engineering trustworthy secure and resilient systems. We will study and explore several National Institute of Standard and Technology (NIST) frameworks such as the Cyber Security Framework (CSF), the Risk Management Framework (RMF), and other standards. These widely adopted standards have been developed to ensure that the appropriate security principles, concepts, methods, and practices are applied during the system development life cycle (SDLC) to achieve stakeholder objectives for the protection of assets—across all forms of adversity characterized as disruptions, hazards, and threats. We will also explore case studies within the Department of Homeland Security’s (DHS) 16 Critical Infrastructure elements (shown in the figure below), to understand how government and private sector participants within the critical infrastructure community work together to manage risks and achieve security and resilient outcomes. Cyber resiliency is the ability to anticipate, withstand, recover from, and adapt to adverse conditions, stresses, attacks, or compromises on systems that use or are enabled by cyber resources regardless of the source. May be convened with SIE 573.

Usually offered: Spring

SIE 477: Introduction to Biomedical Informatics

SIE 477 Fall Syllabus (PDF)
Units: 3

Driven by efforts to improve human health and healthcare systems, this course will cover relevant topics at the intersection of people, information, and technology. Specifically, we will survey the field of biomedical informatics that studies the effective uses of biomedical data, information, and knowledge from molecules and cellular processes to individuals and populations, for scientific inquiry, problem-solving, and decision-making. We will explore foundations and methods from both biomedical and computing perspectives, including hands-on experiences with systems, tools and technologies in the healthcare system. May be convened with SIE/BME 577.

Prerequisite(s): ECE 175, CSC 127A, or equivalent, or consent of the instructor
Usually offered: Fall

SIE 481: Design for Additive Manufacturing

SIE 481 Fall Syllabus (PDF)
Units: 3

An introduction to the engineering design process with a focus on understanding constraints and opportunities associated with additive manufacturing (AM). Students will gain an understanding of how to exploit AM to manufacture parts with complex geometry, while also considering economic viability and manufacturability. Opportunities and constraints associated with various AM technologies, from fused-filament fabrication (often called 3D printing) to metal AM processes, will be surveyed. The course will culminate in a hands-on design project where students will use design-for-additive-manufacturing (DfAM) frameworks and tools to design a novel product. This course aims to promote creativity and critical thinking, which are necessary to effectively use AM technology in the context of product design. May be convened with SIE 581.

Prerequisite(s): SIE majors: Advanced Standing; SIE 383, Other ENGR majors: Advanced Standing; (AME 211 or BE 221) and (AME 324A or MSE 370)
Usually offered: Fall

SIE 482: Lean Operations and Manufacturing Systems

SIE 482 Syllabus (PDF)
Units: 3

Survey of lean and variability reduction principles as applied to manufacturing and non-manufacturing environments.

Prerequisite(s): SIE 305
Usually offered: Spring

SIE 483: Computer-Integrated Manufacturing (CIM) Systems

SIE 483 Syllabus (PDF)
Units: 3

Modern manufacturing systems with emphasis on information requirements and data management. Includes CAD, CAM, CAPP, real-time scheduling, networking, and system justification. May be convened with SIE 583.

Prerequisite(s): SIE 383
Usually offered: Fall

SIE 492: Directed Research

SIE 492 Proposal Form – No Syllabus (PDF)
Units: 1

Directed research is one of the best ways for an undergraduate to engage in interesting research and get individual guidance from faculty. Please download the proposal form and contact the faculty member with whom you have interest in working. (1-3 units)

Usually offered: Fall, Spring, Summer

SIE 493: Internship

SIE 493 Internship Guidelines Syllabus (PDF)
Units: 3

Specialized work on an individual basis, consisting of training and practice in actual service in a technical, business, or governmental establishment. (1-3 units) 

Usually offered: Fall, Spring, Summer

SIE 496: Special Topics in Systems and Industrial Engineering

SIE 496 Syllabus (PDF)
Units: 3

This course is designed to provide a flexible topics course across several domains in the field of Systems Engineering, Industrial Engineering, and Engineering Management. Students will develop and exchange scholarly information in a small group setting. Selected advanced topics in Systems and Industrial Engineering and Operations Research, such as 1) optimization, 2) stochastic systems, 3) systems engineering and design, 4) human cognition systems, and 5) informatics.  Course may be repeated for a maximum of 9 units or 3 completions.

Prerequisite(s): SIE 305
Usually offered: Fall, Spring, Summer

SIE 498A: Senior Design Projects II

SIE 498A Fall Syllabus (PDF), SIE 498A Spring Syllabus (PDF)
Units: 3

Teams of students will use material taught in the SIE curriculum to address a customer's needs and help a real-world client design or improve a system. Students will use a system design process, discover system requirements, identify project and technical risks, and develop a project plan and schedule. Students will communicate orally and in writing. A series of design reviews will monitor project goals, schedule, risk and progress. 498A should be taken in the student's second-to-last semester. (2-3 units)

Prerequisite(s): Senior status.
Usually offered: Fall, Spring, Summer

SIE 498B: Systems Engineering Senior Design

SIE 498B Fall Syllabus (PDF), SIE 498B Spring Syllabus (PDF)
Units: 3

Teams of students will use material taught in the SIE curriculum to address a customer's needs and help a real-world client design or improve a system. Students will use a system design process, discover system requirements, identify project and technical risks, and develop a project plan and schedule. Students will communicate orally and in writing. A series of design reviews will monitor project goals, schedule, risk and progress. Continuation of SIE-498A.

Prerequisite(s): SIE 498A
Usually offered: Fall, Spring, Summer
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