USC Catalogue 2020-2021 [ARCHIVED CATALOGUE]
Industrial and Systems Engineering – Daniel J. Epstein Department of Industrial and Systems Engineering
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Return to: USC Viterbi School of Engineering
Ethel Percy Andrus
Gerontology Center 240
(213) 740-4893
FAX: (213) 740-1120
Email: isedept@usc.edu
usc.edu/dept/ise
Chair: Maged Dessouky, PhD
Associate Chair: Kurt Palmer, PhD
Faculty
A.V. “Bal” Balakrishnan Chair: Petros Ioannou, PhD (Electrical and Computer Engineering)
Kenneth C. Dahlberg Early Career Chair: Rahul Jain, PhD (Electrical and Computer Engineering)
Daniel J. Epstein Chair in Industrial and Systems Engineering: Sheldon M. Ross, PhD
Kellner Family Early Career Chair: John Gunnar Carlsson, PhD
David Packard Chair in Manufacturing Engineering: Stephen C-Y Lu, PhD (Aerospace and Mechanical Engineering, Computer Science)
John and Dorothy Shea Early Career Chair in Civil Engineering: Ketan Savla, PhD (Civil and Environmental Engineering)
J.A. Tiberti Chair in Ethics and Decision Making: Detlof von Winterfeldt, PhD
Dean’s Professor in Industrial and Systems Engineering: Maged Dessouky, PhD
Epstein Family Professor of Industrial and Systems Engineering: Jong-Shi Pang, PhD
IBM Professor of Engineering Management: Neil Siegel, PhD
TRW Professor of Software Engineering: Barry Boehm, PhD (Computer Science)
Professors: Ali Abbas, PhD (Public Policy); Barry Boehm, PhD (Computer Science); Yong Chen, PhD; Maged Dessouky, PhD*; Randolph Hall, PhD; Julia Higle, PhD; Carl F. Kesselman, PhD (Computer Science); Stephen C-Y Lu, PhD (Aerospace and Mechanical Engineering, Computer Science); Najmedin Meshkati, PhD* (Civil and Environmental Engineering); James E. Moore II, PhD (Civil and Environmental Engineering; Public Policy); Jong-Shi Pang, PhD; Sheldon M. Ross, PhD; Suvrajeet Sen, PhD (Electrical and Computer Engineering; Computer Science); Detlof von Winterfeldt, PhD (Public Policy)
Associate Professors: John Gunnar Carlsson, PhD; Qiang Huang, PhD; Mansour Rahimi, PhD; Ketan Savla, PhD (Civil and Environmental Engineering, Electrical and Computer Engineering Systems); Shinyi Wu, PhD (Suzanne Dworak-Peck School of Social Work)
Assistant Professors: Andrés Gómez, PhD; Meisam Razaviyayn, PhD; Sze-Chuan Suen, PhD; Phebe Vayanos, PhD; Renyuan Xu, PhD
Research Professors: Yigal Arens, PhD; Mayank Kejriwal, PhD
Adjunct Research Professors: Wanda M. Austin, PhD; Mohamed I. Dessouky, PhD; Fernando Ordoñez, PhD (Computer Science)
Professor of the Practice of Industrial and Systems Engineering: Neil Siegel, PhD
Associate Professors of the Practice of Industrial and Systems Engineering: Geza Bottlik, Engineer, PE; Nitin Kale, MS (Information Technology Program); Kurt Palmer, PhD*
Senior Lecturers: Cesar Acosta-Mejia, PhD; Richard Vawter, MS (Information Technology Program)
Lecturers: Shalini Gupta, PhD; Yalda Khashe, PhD
Emeritus Professors: Gerald A. Fleischer, PhD, PE; Homer H. Grant, MS; Ralph Keeney, PhD (Data Sciences and Operations); Peter Will, PhD (Astronautical Engineering, Chemical Engineering)
*Recipient of university-wide or school teaching award.
Honor Societies
Alpha Pi Mu
Alpha Pi Mu is the industrial engineering honor society. Qualifications for election are: juniors in the upper one-fifth of their class; seniors in the upper one-third of their class; master’s degree students who have completed at least one-third of the courses required for their degree and rank among the top 10 students in all ISE master’s degree programs; and doctoral students recommended by the department chair. The adviser is Kurt Palmer, associate professor of the practice of industrial and systems engineering, (213) 740-5960.
Omega Rho
Omega Rho is the operations research honor society to recognize academic excellence in operations research and encourage study of operations research, management science and closely associated disciplines. Election is by nomination only during the spring semester.
Undergraduate Degree Requirements
Undergraduate Education Program Mission
The mission of the Daniel J. Epstein Department of Industrial and Systems Engineering undergraduate program is to:
- Provide students: the skills and knowledge to obtain employment and achieve leadership with the industrial and systems engineering profession or to proceed with graduate education; the intellectual resources to continue life-long learning; and the knowledge of professional ethics and critical reasoning skills necessary for contributing to society.
- Provide employers of industrial and systems engineering professionals with candidates who are technically competent, business aware, collaborative, able to communicate effectively, and ethically grounded.
- Maintain and enhance the reputation of the Epstein department within the engineering, business and academic communities.
Undergraduate Program Educational Objectives
Graduates of the Bachelor of Science in Industrial and Systems Engineering program are prepared to achieve any of the following accomplishments:
- Obtain employment in an organization that values people who demonstrate both technical competence and business awareness.
- Pursue graduate or professional education.
- Assume a leadership role in their employment organization or community.
- Utilize critical reasoning, collaboration and creativity to contribute to society.
Undergraduate Program Criteria
The program leading to a Bachelor of Science in Industrial and Systems Engineering prepares graduates to design, develop, implement, and improve integrated systems that include people, materials, information, equipment and energy. The curriculum includes in-depth instruction to accomplish the integration of systems using appropriate analytical, computational, and experimental practices.
For additional information, visit usc.edu/dept/ise.
Graduate Degree Requirements
Master of Science in Product Development Engineering
This interdisciplinary program is offered jointly with the Department of Aerospace and Mechanical Engineering . The program is available via distance education. See the listing under Product Development Engineering .
Master of Science in Systems Architecting and Engineering
See the listing under Systems Architecting and Engineering Program . The program is available via distance education.
Dual Degree Program (MS, Electrical Engineering / MS, Engineering Management)
See listing in the Electrical and Computer Engineering section.
Engineer in Industrial and Systems Engineering
Requirements for the Engineer in Industrial and Systems Engineering are the same as set forth in the general requirements .
Graduate Certificates
Graduate Certificate in Network Centric Systems
See listing under Systems Architecting and Engineering Program . The program is available via distance education.
Graduate Certificate in Optimization and Supply Chain Management
This abbreviated interdisciplinary program is offered jointly with the Department of Data Sciences and Operations in the USC Marshall School of Business. See here for program requirements.
Graduate Certificate in Systems Architecting and Engineering
See listing under Systems Architecting and Engineering Program . The program is available via distance education.
Graduate Certificate in Transportation Systems
This abbreviated interdisciplinary program is offered jointly with the Astani Department of Civil and Environmental Engineering and the USC Price School of Public Policy. See listing under Civil Engineering .
Graduate Certificate in System Safety and Security
Applications for this program are not currently being accepted.
Bachelor’s Degree
Minor
Master’s Degree
Graduate Certificate
Dual Degree
Doctoral Degree
Industrial and Systems Engineering
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ISE 105 Introduction to Industrial and Systems Engineering Units: 2
Terms Offered: FaSp
A combination of plant tours, laboratory experiences, and lecture are used to introduce the philosophy, subject matter, aims, goals, and techniques of industrial and systems engineering.
Instruction Mode: Lecture
Grading Option: Letter
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ISE 150 Solving Engineering Problems via Computer Programming Units: 3
Terms Offered: Sp
Engineering examples are used as a platform to introduce computer programming skills for problem solving; critical thinking skills.
Instruction Mode: Lecture, Lab
Grading Option: Letter
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ISE 220 Probability Concepts in Engineering Units: 3
Terms Offered: FaSp
Techniques for handling uncertainties in engineering design: discrete and continuous random variables; expectations, probability distributions and transformations of random variables; limit theorems; approximations and applications.
Prerequisite: MATH 126 .
Instruction Mode: Lecture
Grading Option: Letter
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ISE 225 Engineering Statistics I Units: 3
Terms Offered: Sp
Sampling distributions; parameter estimation, hypothesis testing; analysis of variance; regression; nonparametric statistics.
Prerequisite: ISE 220 .
Instruction Mode: Lecture
Grading Option: Letter
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ISE 232L Manufacturing Processes Units: 3
Terms Offered: Fa
Basic manufacturing processes including casting, machining, forming and welding; current trends in manufacturing processes including polymer, ceramic and composite material processing, and electronic device fabrication; introduction to numerical control and computer integrated manufacturing.
Recommended Preparation: MASC 110L or CHEM 105aLg or CHEM 115aLg
Instruction Mode: Lecture, Lab Required
Grading Option: Letter
Crosslisted as AME 232 -
ISE 310L Facilities and Logistics Units: 4
Terms Offered: FaSp
Facilities layout and design: material handling and transportation; site selection and sourcing; supply chain management.
Prerequisite: ISE 330 and ISE 460 .
Instruction Mode: Lecture, Lab Required
Grading Option: Letter
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ISE 315L Engineering Project Management Units: 3
Terms Offered: FaSp
Techniques for planning, budgeting, scheduling, obtaining resources, monitoring and control of projects in a corporate environment. Use of software to evaluate performance and assess risks.
Prerequisite: ISE 225 and ISE 330
Instruction Mode: Lecture, Lab Required
Grading Option: Letter
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ISE 327 Six Sigma and Lean Operations Units: 3
Standardized methodology for problem solving, basic and advanced statistical tools for root cause identification and solution confirmation, key principles for quality management and organizational excellence.
Prerequisite: ISE 225
Instruction Mode: Lecture
Grading Option: Letter
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ISE 330 Introduction to Operations Research: Deterministic Models Units: 3
Terms Offered: Fa
Introduction to linear programming; transportation and assignment problems; dynamic programming; integer programming; nonlinear programming.
Prerequisite: MATH 225 .
Instruction Mode: Lecture
Grading Option: Letter
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ISE 331 Introduction to Operations Research: Stochastic Models Units: 3
Terms Offered: Sp
Stochastic processes; Markov chains; queueing theory and queueing decision models; probabilistic inventory models.
Prerequisite: ISE 220 ;
Recommended Preparation: ISE 330 .
Instruction Mode: Lecture
Grading Option: Letter
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ISE 335L Supply Chain Design Units: 3
Terms Offered: FaSp
Design of Supply Chains. Product, distribution, transportation and site selection. Analysis and optimization of supply chain networks.
Prerequisite: ISE 330 and ISE 460
Instruction Mode: Lecture, Lab Required
Grading Option: Letter
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ISE 344 Engineering Team Management Units: 3
Examine team formation and team dynamics including organizational behavior, group dynamics, psychology, and business management, all in the context of engineering development; decision-making and negotiation.
Registration Restriction: Open only to juniors and seniors.
Instruction Mode: Lecture
Grading Option: Letter
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ISE 350 Principles of Systems Engineering Units: 3
Terms Offered: FaSp
Systems as complex collaborative ensembles of interconnected components. Theory and practice of requirements, design, implementation, testing, deployment, operation, and disposal. Case studies from real projects.
Prerequisite: ISE 225
Instruction Mode: Lecture
Grading Option: Letter
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ISE 370L Human Factors in Work Design Units: 4
Terms Offered: Fa
Physiological systems and psychological characteristics; ergonomics; anthropometry; effects of the physical environment on humans; occupational safety and health; work methods.
Instruction Mode: Lecture, Lab Required
Grading Option: Letter
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ISE 375L Facilities Design Units: 3
Terms Offered: FaSp
Design of facilities for operations and distribution. Product, process flow, material handling, and facility location techniques that lead to making good decisions for facilities layouts.
Prerequisite: ISE 331 and ISE 460
Instruction Mode: Lecture, Lab Required
Grading Option: Letter
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ISE 382 Database Systems: Concepts, Design and Implementation Units: 4
Terms Offered: FaSp
Data models for industry applications. Modeling and designing robust databases. Implementing and querying databases with SQL. Innovations in database applications.
Instruction Mode: Lecture, Discussion
Grading Option: Letter
Crosslisted as ITP 383 -
ISE 390 Special Problems Units: 1, 2, 3, 4
Supervised, individual studies. No more than one registration permitted. Enrollment by petition only.
Instruction Mode: Lecture
Grading Option: Letter
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ISE 404 Business and Intellectual Property Law for Engineers Units: 3
(Enroll in CE 404 )
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ISE 410 Planning and Scheduling Units: 3
Terms Offered: FaSp
Production planning, forecasting, scheduling, and inventory; computer integrated decision systems in analysis and control of production systems.
Prerequisite: ISE 330 .
Instruction Mode: Lecture
Grading Option: Letter
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ISE 422L Configuring Enterprise Resource Planning Systems Units: 4
(Enroll in ITP 422 )
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ISE 426 Statistical Quality Control Units: 3
Terms Offered: Fa
Quantitative aspects of statistical quality control (process control, acceptance sampling by attribute and by variable, rectifying inspection), quality assurance and the management of QC/QA functions.
Prerequisite: ISE 225 .
Instruction Mode: Lecture
Grading Option: Letter
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ISE 435 Discrete Systems Simulation Units: 3
Terms Offered: FaSp
Model design to simulate discrete event systems with basic input and output analysis using high order languages, applied to industrial systems analysis and design problems.
Prerequisite: CSCI 101 and ISE 225 .
Instruction Mode: Lecture, Lab
Grading Option: Letter
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ISE 440 Work, Technology, and Organization Units: 3
Terms Offered: Sp
Impact of technology on work and organizational design; effects of automation; design of improvement programs; information infrastructures; teams; individual behavioral outcomes. Upper division standing.
Instruction Mode: Lecture
Grading Option: Letter
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ISE 460 Engineering Economy Units: 3
Terms Offered: FaSpSm
Utilizing principles of economic analysis for choice of engineering alternatives and engineering systems. Pre-tax and after-tax economy studies.
Instruction Mode: Lecture, Discussion
Grading Option: Letter
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ISE 470 Human/Computer Interface Design Units: 3
Terms Offered: Sp
Essentials of human factors and computer interface for the design, development, implementation, and evaluation of integrated media systems.
Instruction Mode: Lecture
Grading Option: Letter
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ISE 482 Engineering Database Applications Units: 3
(Enroll in ITP 482 )
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ISE 487Lx Enterprise Data Analytics Units: 4
Terms Offered: Fa
(Enroll in ITP 487 )
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ISE 488x Managing Supply Chains with Advanced Planning and Optimization Units: 3
(Enroll in ITP 488 )
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ISE 490x Directed Research Units: 1, 2, 3, 4, 5, 6, 7, 8
Max Units: 12.0
Terms Offered: FaSp
Individual research and readings.
Instruction Mode: Lecture
Grading Option: Letter
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ISE 495ax Senior Design Project Units: 2
Terms Offered: FaSp
Preparation and development of the senior project proposal. Open only to industrial and systems engineering majors.
Prerequisite: ISE 225 and ISE 460 and DSO 435 or ISE 382 .
Instruction Mode: Lecture
Grading Option: In Progress to Letter
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ISE 495bx Senior Design Project Units: 2
Terms Offered: FaSp
Group work on an industrial engineering design problem in an organization. Open only to industrial and systems engineering majors.
Prerequisite: ISE 435 and ISE 370 or ISE 470 .
Registration Restriction: Open only to Industrial and Systems Engineering majors.
Instruction Mode: Lecture
Grading Option: Letter
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ISE 499 Special Topics Units: 2, 3, 4
Course content to be selected each semester from recent developments in industrial and systems engineering and related fields.
Instruction Mode: Lecture
Grading Option: Letter
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ISE 500 Statistics for Engineering Managers Units: 3
Terms Offered: FaSpSm
Framing engineering management situations with statistical methods. Experiments, distributions, regression, ANOVA, hypothesis.
Registration Restriction: Open only to fifth-year seniors and master’s students
Instruction Mode: Lecture
Grading Option: Letter
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ISE 501 Innovative Conceptual Design for New Product Development Units: 3
Terms Offered: FaSp
An introduction to a conceptual design framework with a logic foundation and a systematic process to carry out concept generation and improvement for innovative product developments.
Recommended Preparation: Bachelor’s degree in engineering or physical sciences
Instruction Mode: Lecture
Grading Option: Letter
Crosslisted as AME 501 -
ISE 502 Construction Accounting, Finance and Strategy Units: 4
Terms Offered: FaSp
(Enroll in CE 502 )
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ISE 505 Modeling for Health Policy and Medical Decision Making Units: 3
Terms Offered: Fa
Modeling techniques used to inform decisions in public health, disease control, and hospital operations.
Recommended Preparation: Basic probability; advanced undergraduates are encouraged to take the class and should obtain instructor permission to attend
Instruction Mode: Lecture
Grading Option: Letter
Crosslisted as PPD 505 -
ISE 506 Lean Operations Units: 3
Terms Offered: FaSp
Study of lean principles and practices as applied to various industries.
Duplicates Credit in the former SAE 551
Instruction Mode: Lecture
Grading Option: Letter
Crosslisted as SAE 551 -
ISE 507 Six-Sigma Methods and Applications Units: 3
Terms Offered: FaSpSm
Comprehensive study of Six Sigma and Lean metrics, methods, and systems with their applications to manufacturing, services, quality improvement and management.
Instruction Mode: Lecture
Grading Option: Letter
Crosslisted as PPD-507 -
ISE 508 Health Care Operations Improvement Units: 3
Terms Offered: Sp
Improving operations, patient flow, quality and processes. Students will become familiar with methods for implementing change in health care settings such as hospitals or clinics.
Instruction Mode: Lecture
Grading Option: Letter
Crosslisted as PPD-508 -
ISE 509 Practicum in Health Care Systems Units: 3
Terms Offered: FaSp
Performance improvement projects within hospitals are undertaken by small teams collaborating with hospital staff. Study of tools to improve and optimize operations.
Recommended Preparation: Spreadsheet use and general familiarity with the healthcare industry; engineering statistics at the level of ISE 225
Instruction Mode: Lecture
Grading Option: Letter
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ISE 510 Advanced Computational Design and Manufacturing Units: 3
Terms Offered: Sp
Study advanced concepts behind computational representations, algorithms, and mathematical foundations, and their applications in computer aided design and manufacturing. Develop hands-on computational skills in team projects.
Recommended Preparation: bachelor’s degree in industrial engineering; programming experience, C++ preferred
Registration Restriction: Open only to master students
Instruction Mode: Lecture
Grading Option: Letter
Crosslisted as AME 510 -
ISE 511L Mechatronic Systems Engineering Units: 3
Terms Offered: Fa
Use of mechanical, electrical, and computer engineering, math, and computer science to design of high performance and sophisticated products and processes and systems involving mechatronic.
Recommended Preparation: bachelor’s degree in engineering or physical sciences, and preliminary knowledge of programming in C
Instruction Mode: Lecture
Grading Option: Letter
Crosslisted as AME 504 -
ISE 512 Software Management and Economics Units: 3
Terms Offered: Fa
(Enroll in CSCI 510 )
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ISE 513 Inventory Systems Units: 3
Terms Offered: Sp
Deterministic and stochastic demand systems with static/dynamic models. Practice in inventory management, computerized procedures, materials requirements planning, just-intime production, Kanban systems.
Instruction Mode: Lecture
Grading Option: Letter
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ISE 514 Advanced Production Planning and Scheduling Units: 3
Terms Offered: FaSm
Advanced concepts in production planning and scheduling including resource allocation, lot sizing, flow shop and job shop scheduling, workforce scheduling and assembly line balancing.
Recommended Preparation: prior knowledge of operations research and probability theory.
Instruction Mode: Lecture
Grading Option: Letter
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ISE 515 Engineering Project Management Units: 3
Terms Offered: FaSpSm
Applying industrial and systems engineering skills to problems drawn from industry, while working in teams of 3–4 students. Teach project management skills and provide direct experience in managing and executing a group project.
Instruction Mode: Lecture
Grading Option: Letter
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ISE 517 Modern Enterprise Systems Units: 3
Terms Offered: FaSp
Managing the process design, interfaces and resources of service and manufacturing systems, based on the state of their processes.
Instruction Mode: Lecture
Grading Option: Letter
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ISE 520 Optimization Theory and Algorithms: Numerical Optimization Units: 3
Terms Offered: Fa
Numerical methods for multidimensional, non-linear optimization algorithms, simple and quadratic programming
Recommended Preparation: Multivariate Calculus, Linear Algebra, Computer Programming
Instruction Mode: Lecture
Grading Option: Letter
Crosslisted as CSCI 521 -
ISE 525 Design of Experiments Units: 3
Terms Offered: FaSp
Planning data collection to investigate relationships between product/process design choices (materials, temperatures, etc.) and performance, empirical modeling to predict performance, identification of the best design choices.
Recommended Preparation: ISE 225 .
Instruction Mode: Lecture
Grading Option: Letter
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ISE 527 Quality Management for Engineers Units: 3
Terms Offered: FaSp
Principles of quality management, quality philosophies and frameworks, quality leadership and strategic planning, process management, and performance measurements.
Instruction Mode: Lecture
Grading Option: Letter
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ISE 528 Advanced Statistical Aspects of Engineering Reliability Units: 3
Advanced statistical methods applied to reliability engineering. Experimental design analysis and interpretation of multifactor reliability problems.
Instruction Mode: Lecture
Grading Option: Letter
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ISE 529 Predictive Analytics Units: 3
Terms Offered: FaSp
Analytics for supervised and unsupervised statistical learning. Generalized linear models, discriminant analysis, support vector machines. Nonparametric classification, trees, ensemble methods, k-nearest neighbors. Principal components, clustering.
Recommended Preparation: ISE 225 and equivalent working knowledge of a computer language
Instruction Mode: Lecture
Grading Option: Letter
Crosslisted as DSCI 561 -
ISE 530 Optimization Methods for Analytics Units: 3
Terms Offered: FaSp
Linear Programming, Integer Programming, quadratic and nonlinear programming.
Recommended Preparation: Calculus III, Linear Algebra and Computer Programming
Instruction Mode: Lecture
Grading Option: Letter
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ISE 532 Network Flows Units: 3
Terms Offered: Sp
Tree, path, flow problems, formulation and solution techniques. Methods for minimal cost flows. Applications.
Prerequisite: ISE 330 or ISE 536 .
Instruction Mode: Lecture
Grading Option: Letter
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ISE 533 Integrative Analytics Units: 3
Terms Offered: Sp
The three pillars of analytics (predictive, prescriptive, and validation) together under one framework. Use of statistics, learning enabled optimization. Based on publicly available data sets.
Prerequisite: ISE 529 and ISE 530
Registration Restriction: Open only to graduate students
Instruction Mode: Lecture
Grading Option: Letter
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ISE 534 Data Analytics Consulting Units: 3
Terms Offered: Sp
Consulting project concepts, frameworks, analytical tools, and managerial skills with a focus on the use of data analytics, design thinking and insight-driven frameworks.
Prerequisite: ISE 529 and ISE 530
Recommended Preparation: Working knowledge of machine learning techniques as provided by ISE 529 . Basic knowledge of statistics and statistical modeling.
Instruction Mode: Lecture
Grading Option: Letter
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ISE 535 Data Mining Units: 3
Terms Offered: Sp
Data preprocessing, data cleaning, data summarization, data visualization, and predictive modeling for classification and regression; modeling dependencies using association rules.
Recommended Preparation: Knowledge of engineering statistics on the level of ISE 225 and working knowledge of a programming language
Instruction Mode: Lecture
Grading Option: Letter
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ISE 536 Linear Programming and Extensions Units: 3
Terms Offered: Fa
Linear programming models for resource allocation; simplex and revised simplex methods; duality; sensitivity; transportation problems; selected extensions to large scale, multiobjective, and special structured models.
Prerequisite: MATH 225 or EE 441 .
Instruction Mode: Lecture
Grading Option: Letter
Crosslisted as CSCI-536 -
ISE 537 Financial Analytics Units: 3
Terms Offered: FaSp
Portfolio construction and active portfolio management; investment strategies; machine learning models in quantitative finance; equity factor investing and general risk premia investing.
Recommended Preparation: Knowledge of Engineering Statistics on the level of ISE 225 and working knowledge of a programming language
Instruction Mode: Lecture
Grading Option: Letter
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ISE 538 Performance Analysis Using Markov Models Units: 3
Terms Offered: FaSp
Random variables, stochastic processes, birth and death processes, continuous- and discrete-time Markov chains with finite and infinite number of states, renewal phenomena and queuing systems.
Instruction Mode: Lecture
Grading Option: Letter
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ISE 539 Stochastic Elements of Simulation Units: 3
Terms Offered: Sp
Simulation techniques combined with probabilistic analysis for solving problems in inventory theory, queuing theory, financial engineering, decision analysis, and other fields having a stochastic element.
Corequisite: ISE 538 .
Instruction Mode: Lecture
Grading Option: Letter
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ISE 540 Text Analytics Units: 3
Terms Offered: Fa
Methods and algorithms for automated text analysis; machine learning; predictive web data analytics; information retrieval; social media data; natural language documents and graphs.
Prerequisite: ISE 225
Recommended Preparation: Working knowledge of a programming language (R or Python is desirable). ISE 529 Predictive Analytics is highly recommended.
Instruction Mode: Lecture
Grading Option: Letter
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ISE 544 Leading and Managing Engineering Teams Units: 3
Terms Offered: FaSpSm
Design and management of engineering teams. Group decision-making, motivation, leadership, infrastructural requirements, performance measurement, team diversity, conflict, and integration.
Instruction Mode: Lecture
Grading Option: Letter
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ISE 545 Technology Development and Implementation Units: 3
Terms Offered: Fa
Principles and practices of technology development and implementation, with application to products and systems in manufacturing and services.
Instruction Mode: Lecture
Grading Option: Letter
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ISE 551 Foundations of Data Management Units: 3
Terms Offered: FaSp
(Enroll in INF 551 )
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ISE 554 Innovation and the Engineering Enterprise Units: 3
Examination of innovation in engineering enterprises including human behavior and human resources, organizational development, engineering management, business structures, financing the enterprise and intellectual property.
Instruction Mode: Lecture
Grading Option: Letter
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ISE 555 Invention and Technology Development Units: 3
This project-oriented course elaborates on the process of engaging creative thought, tools and techniques for invention, and issues involved in bringing inventions to the production phase.
Instruction Mode: Lecture
Grading Option: Credit/No Credit
Crosslisted as ENGR-555 -
ISE 556 Stochastic Systems and Reinforcement Learning Units: 4
Terms Offered: Sp
(Enroll in EE 556 )
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ISE 560 Analysis of Algorithms Units: 4
(Enroll in CSCI 570 )
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ISE 561 Economic Analysis of Engineering Projects Units: 3
Terms Offered: FaSpSm
Economic evaluations of engineering systems for both government and private industry; quantitative techniques for evaluating non-monetary consequences; formal treatment of risk and uncertainty.
Prerequisite: ISE 500 ;
Recommended Preparation: an undergraduate course in engineering economy.
Instruction Mode: Lecture
Grading Option: Letter
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ISE 562 Decision Analysis Units: 3
Terms Offered: FaSp
Decision making under risk conditions; utility theory; sufficient statistics; conjugate prior distributions; terminal and pre-posterior analysis; Bayesian statistics versus classical statistics.
Instruction Mode: Lecture
Grading Option: Letter
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ISE 563 Financial Engineering Units: 3
Terms Offered: Sp
Concepts underlying the economic analysis of engineering projects; applications to call and put options; utility theory and mathematical optimizations models; and simulation.
Recommended Preparation: ISE 220 or an equivalent course in probability.
Instruction Mode: Lecture
Grading Option: Letter
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ISE 564 Performance Analysis Units: 3
Measurement systems for performance analysis. Determination of performance metrics, analytical models, case studies. Cross-industry comparisons, measures for manufacturing and service systems, information and knowledge workers.
Instruction Mode: Lecture
Grading Option: Letter
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ISE 565 Law and Finance for Engineering Innovation Units: 3
Students will identify, formulate and resolve legal, financial and ethical issues affecting innovation in engineering organizations including legal structures, financing and intellectual property rights. Open only to graduate students.
Registration Restriction: Open only to graduate students.
Instruction Mode: Lecture
Grading Option: Letter
Crosslisted as CE-580 -
ISE 566 Financial Accounting Analysis for Engineering Units: 3
Terms Offered: Sp
Identification, formulation, and solution of financial accounting problems in engineering enterprises. Legal context of financial decisions, process cost determination and allocation, financial reports, and reporting systems. Open only to graduate students.
Registration Restriction: Open only to graduate students.
Instruction Mode: Lecture
Grading Option: Letter
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ISE 567 Collaborative Engineering Principles and Practice Units: 3
Terms Offered: Sp
Scientific principles and industrial practices defining how a team of stakeholders should collaboratively work together to reach agreement on complex engineering tasks. Open only to graduate students in engineering.
Registration Restriction: Open only to graduate students in engineering.
Instruction Mode: Lecture
Grading Option: Letter
Crosslisted as AME-567 -
ISE 568 Machine Learning Units: 3
Terms Offered: Fa
(Enroll in CSCI 567 )
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ISE 570 Human Factors in Engineering Units: 3
Terms Offered: Fa
Psychological and physiological characteristics of humans; how they limit engineering design of machines and human-machine systems.
Instruction Mode: Lecture
Grading Option: Letter
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ISE 573 Work Physiology Units: 3
Survey of metabolic processes in the performance of physical work, study of individual and environmental factors affecting these processes.
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ISE 574 Probabilistic Reasoning Units: 3
Terms Offered: Fa
(Enroll in CSCI 573 )
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ISE 576 Industrial Ecology: Technology-Environment Interaction Units: 3
Concepts and methods to analyze the environmental impacts of industrial systems, including lifecycle assessment, material flow analysis, design for environment and sustainable consumption.
Instruction Mode: Lecture
Grading Option: Letter
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ISE 580 Performance Analysis with Simulation Units: 3
Terms Offered: FaSp
Introduction to modeling and analysis of stochastic systems, with an emphasis on discrete-event simulation of non-Markovian systems.
Recommended Preparation: Probability and statistics, including hypothesis testing and introductory computer programming
Instruction Mode: Lecture
Grading Option: Letter
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ISE 581 Negotiation For Engineering Management Units: 3
Terms Offered: Sp
Decision making techniques for the engineering manager including negotiation principles, contract negotiation, dispute resolution, auctions, bidding, voting and coalition formation.
Instruction Mode: Lecture
Grading Option: Letter
Crosslisted as CE-581 -
ISE 582 Web Technology for Industrial Engineering Units: 3
Terms Offered: Fa
A fast-paced, project-based introduction to designing and implementing interactive Web applications. Emphasizes skills for building engineering and market research applications requiring information gathering, analysis, representation.
Prerequisite: ISE 382 .
Instruction Mode: Lecture
Grading Option: Letter
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ISE 583 Enterprise Wide Information Systems Units: 3
Terms Offered: FaSp
The role of enterprise resource planning systems (ERPs) in an organization and the task of implementing and managing the IS function.
Instruction Mode: Lecture
Grading Option: Letter
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ISE 585 Strategic Management of Technology Units: 3
Terms Offered: FaSp
Management skills and tools for technology intensive enterprises. Life cycle analysis of technology from planning through exploitation, obsolescence and renewal.
Instruction Mode: Lecture
Grading Option: Letter
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ISE 587 Risk Analysis Units: 4
(Enroll in PPD 587 )
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ISE 589 Port Engineering: Planning and Operational Analysis Units: 4
Terms Offered: SpSm
(Enroll in CE 589 )
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ISE 590 Directed Research Units: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12
Research leading to the master’s degree; maximum units which may be applied to the degree to be determined by the department.
Instruction Mode: Lecture
Grading Option: Credit/No Credit
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ISE 594a Master’s Thesis Units: 2
Credit on acceptance of thesis.
Instruction Mode: Lecture
Grading Option: In-progress to Credit/No Credit
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ISE 594b Master’s Thesis Units: 2
Credit on acceptance of thesis.
Instruction Mode: Lecture
Grading Option: In-progress to Credit/No Credit
-
ISE 594z Master’s Thesis Units: 0
Credit on acceptance of thesis.
Instruction Mode: Lecture
Grading Option: In-progress to Credit/No Credit
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ISE 599 Special Topics Units: 2, 3, 4
Max Units: 9.0
Terms Offered: Fa
Course content will be selected each semester to reflect current trends and developments in the field of industrial and systems engineering.
Instruction Mode: Lecture
Grading Option: Letter
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ISE 610 Advance Design of Experiments and Quality Engineering Units: 3
Terms Offered: Fa
Advanced planning for data collection in order to investigate relationships between product/process design choices and performance; empirical modeling to predict performance; identification of the best design.
Recommended Preparation: Undergraduate course in Engineering Statistic, including distributions, confidence intervals, ANOVA and Regression.
Instruction Mode: Lecture
Grading Option: Letter
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ISE 620 Foundations of Stochastic Processes Units: 3
Terms Offered: Sp
An introductory PhD course on stochastic processes, covering such topics as conditional expectation, renewal processes, and discrete and continuous time Markov chains.
Recommended Preparation: A course in probability. Some knowledge of real analysis.
Registration Restriction: Open only to doctoral students
Instruction Mode: Lecture
Grading Option: Letter
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ISE 630 Foundations of Optimization Units: 3
Terms Offered: Sp
Convex sets, convex functions, structures of optimization problems, Lagrangian and conjugate duality. First and second order optimality conditions; applications in engineering and management.
Recommended Preparation: Calculus III and Linear Algebra.
Instruction Mode: Lecture
Grading Option: Letter
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ISE 631 Linear Programming Units: 3
Terms Offered: Fa
Doctoral course in optimization, the foundation for subsequent courses in mathematical programming. For first-year Ph.D. students and M.S. students who intend to pursue a Ph.D.
Recommended Preparation: One year of calculus and one semester of linear and matrix algebra
Instruction Mode: Lecture
Grading Option: Letter
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ISE 632 Network Flows and Combinatorial Optimization Units: 3
Terms Offered: Sp
Combinatorial optimization, particularly graph problems. Shortest paths, max flow, minimum cost flows, spanning trees, matroids, submodular functions. Bipartite and general matchings, polyhedral combinatorics, total unimodularity.
Prerequisite: ISE 536 ;
Recommended Preparation: familiarity with the theory of linear programming and with mathematical proofs; knowledge of linear algebra.
Duplicates Credit in ISE 532.
Instruction Mode: Lecture
Grading Option: Letter
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ISE 633 Large Scale Optimization and Machine Learning Units: 3
Terms Offered: Fa
Large scale optimization algorithms that arise in modern data science and machine learning applications. Stochastic Optimization, Accelerated Methods, Parallelization, Online Optimization, Randomized Linear Algebra
Recommended Preparation: Linear Algebra and Probability
Instruction Mode: Lecture
Grading Option: Letter
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ISE 637 Equilibrium Programming Units: 3
Terms Offered: FaSp
Built on the methodology of constrained optimization, a graduate level course on equilibrium programming cast in the framework of finite-dimensional variational inequality and complementarity problems.
Prerequisite: ISE 520 and ISE 536 .
Instruction Mode: Lecture
Grading Option: Letter
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