Industrial and Systems Engineering – Daniel J. Epstein Department of Industrial and Systems Engineering

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, Aerospace and Mechanical Engineering)

Andrew and Erna Viterbi Early Career Chair: Meisam Razaviyayn, PhD (Computer Science, 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, Electrical and Computer Engineering)

J.A. Tiberti Chair in Ethics and Decision Making: Detlof von Winterfeldt, PhD (Public Policy)

Dean’s Professor in Industrial and Systems Engineering: Maged Dessouky, PhD (Spacial Sciences Institute); Randolph Hall, PhD 

Epstein Family Professor of Industrial and Systems Engineering: Jong-Shi Pang, PhD

IBM Professor of Engineering Management: Neil Siegel, PhD (Computer Science)

William M. Keck Professor of Engineering: Carl Kesselman, PhD (Computer Science, Preventive Medicine, Biomedical Sciences)

Professors: Ali Abbas, PhD; Yong Chen, PhD (Aerospace and Mechanical Engineering); Maged Dessouky, PhD*; Randolph Hall, PhD; Qiang Huang, PhD (Chemical Engineering, Computer Science); Petros Ioannou, PhD (Electrical and Computer Engineering, Aerospace and Mechanical Engineering); Rahul Jain, PhD (Electrical and Computer Engineering, Computer Science); Carl F. Kesselman, PhD (Computer Science, Preventive Medicine, Biomedical Sciences); Stephen C-Y Lu, PhD (Aerospace and Mechanical Engineering, Computer Science); Najmedin Meshkati, PhD* (Civil and Environmental Engineering, International Relations); Jong-Shi Pang, PhD; Sheldon M. Ross, PhD; Suvrajeet Sen, PhD (Electrical and Computer Engineering); Detlof von Winterfeldt, PhD (Public Policy)

Associate Professors: John Gunnar Carlsson, PhD*; Bistra Dilkina, PhD (Computer Science); Vishal Gupta, PhD (Data Sciences and Operations); Giacomo Nannicini, PhD; Meisam Razaviyayn, PhD* (Computer Science, Electrical and Computer Engineering); Ketan Savla, PhD (Civil and Environmental Engineering, Electrical and Computer Engineering Systems); Mahdi Soltanolkotabi, PhD (Electrical and Computer Engineering, Computer Science); Victoria Stodden, PhD; Phebe Vayanos, PhD (Computer Science); Shinyi Wu, PhD (Suzanne Dworak-Peck School of Social Work)

Assistant Professors: Andrés Gómez, PhD; Sze-Chuan Suen, PhD; Renyuan Xu, PhD

Research Professor: Yigal Arens, PhD

Research Assistant Professors: Abigail Horn, PhD; Mayank Kejriwal, PhD; Satish Kumar Thittamaranahalli, PhD (Computer Science, Physics and Astronomy)

Adjunct Research Professors: Wanda M. Austin, PhD; Fernando Ordoñez, PhD (Computer Science)

Adjunct Professor of Industrial and Systems Engineering: Saeed Mohasseb, MS                                                

Professor of the Practice of Industrial and Systems Engineering: George Papavassilopoulos, PhD; Neil Siegel, PhD (Computer Science)

Associate Professors of the Practice of Industrial and Systems Engineering: Cesar Acosta-Mejia, PhD; Nitin Kale, MS (Information Technology Program); Kurt Palmer, PhD*

Senior Lecturers: Nathan Greenfield, MS (Information Technology Program); Shalini Gupta, PhD; Yalda Khashe, PhD; Mike Lee (Information Technology Program); Paul Lu, DBA; Richard Vawter, MS (Information Technology Program); Bruce Wilcox, PhD

Lecturer: Niloufar Izadinia, PhD; Maryam Pishgar, PhD

Emeritus Professors (all ranks): Geza Bottlik, MS; Ralph Keeney, PhD; James E. Moore, II, PhD; Mansour Rahimi, PhD; Stan Settles, PhD; 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 Health Systems Management Engineering 

This program is jointly sponsored by the Epstein Industrial and Systems Engineering Department, the USC Price School of Public Policy and the USC Keck School of Medicine and is administered by the Epstein Industrial and Systems Engineering Department.

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.

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 Health Systems Operations

This graduate certificate is designed for students with bachelor’s degrees in applied social science, engineering or the sciences, who are interested in operations management and health care topics. This 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.

Programs

Bachelor’s Degree

• •  Industrial and Systems Engineering (BS)

Minor

• •  Engineering Management Minor

Master’s Degree

• •  Analytics (MS)
• •  Engineering Management (MS)
• •  Health Systems Management Engineering (MS)
• •  Industrial and Systems Engineering (MS)
• •  Operations Research Engineering (MS)

Dual Degree

• •  Master of Science, Industrial and Systems Engineering/Master of Business Administration (MS/MBA)

Graduate Certificate

• •  Health Systems Operations Graduate Certificate

Doctoral Degree

• •  Industrial and Systems Engineering (PhD)

Courses

Industrial and Systems Engineering

• •  ISE 105 Introduction to Industrial and Systems Engineering
• •  ISE 150 Solving Engineering Problems via Computer Programming
• •  ISE 220 Foundations of Probability Modeling
• •  ISE 225 Foundations of Data Analysis
• •  ISE 232L Manufacturing Processes
• •  ISE 315L Engineering Project Management
• •  ISE 327 Six Sigma and Lean Operations
• •  ISE 330 Introduction to Optimization
• •  ISE 331 Introduction to Operations Research: Stochastic Models
• •  ISE 335L Supply Chain Design
• •  ISE 344 Introduction to Engineering Management and Teamwork
• •  ISE 350 Principles and Practices of Systems Engineering
• •  ISE 370L Human Factors in Work and Systems Design
• •  ISE 375 Facilities Design
• •  ISE 382 Database Systems: Concepts, Design and Implementation
• •  ISE 385 Human-Systems Integration for Global Engineering
• •  ISE 390 Special Problems
• •  ISE 404 Business and Intellectual Property Law for Engineers
• •  ISE 410 Planning and Scheduling for Production and Supply Chains
• •  ISE 422L Configuring Enterprise Resource Planning Systems
• •  ISE 426 Statistical Process Control and Analytics
• •  ISE 435L Discrete Systems Simulation
• •  ISE 440 Introduction to Socio-Technical Systems and Work Organizations
• •  ISE 445 Principles and Practices of Global Innovation
• •  ISE 460 Engineering Decisions, Economics and Ethics
• •  ISE 470 Human/Computer Interface Design
• •  ISE 482 Engineering Database Applications
• •  ISE 486 Securing and Auditing Enterprise Resource Planning Systems
• •  ISE 487Lx Enterprise Data Analytics
• •  ISE 488x Managing Supply Chains with Advanced Planning and Optimization
• •  ISE 490x Directed Research
• •  ISE 495ax Senior Design Project
• •  ISE 495bx Senior Design Project
• •  ISE 499 Special Topics
• •  ISE 500 Statistics for Engineering Managers
• •  ISE 501 Innovative Conceptual Design for New Product Development
• •  ISE 502 Construction Accounting, Finance and Strategy
• •  ISE 504 Management of Change in Health Care Systems
• •  ISE 505 Modeling for Health Policy and Medical Decision Making
• •  ISE 506 Lean Operations
• •  ISE 507 Six-Sigma Methods and Applications
• •  ISE 508 Health Care Operations Improvement
• •  ISE 509 Practicum in Health Care Systems
• •  ISE 512 Software Management and Economics
• •  ISE 513 Logistics and Inventory Systems
• •  ISE 514 Advanced Production Planning and Scheduling
• •  ISE 515 Engineering Project Management
• •  ISE 517 Modern Enterprise Systems
• •  ISE 520 Optimization Theory and Algorithms: Numerical Optimization
• •  ISE 525 Design of Experiments
• •  ISE 527 Quality Management for Engineers
• •  ISE 528 Advanced Statistical Aspects of Engineering Reliability
• •  ISE 529 Predictive Analytics
• •  ISE 530 Optimization Methods for Analytics
• •  ISE 532 Network Flows
• •  ISE 533 Integrative Analytics
• •  ISE 534 Data Analytics Consulting
• •  ISE 535 Data Mining
• •  ISE 536 Linear Programming and Extensions
• •  ISE 537 Financial Analytics
• •  ISE 538 Markov Models for Performance Analysis
• •  ISE 539 Stochastic Elements of Simulation
• •  ISE 540 Text Analytics
• •  ISE 543 Enterprise Business Intelligence and Systems Analytics
• •  ISE 544 Leading and Managing Engineering Teams
• •  ISE 545 Technology Development and Implementation
• •  ISE 546 Mathematics of High-Dimensional Data
• •  ISE 554 Innovation and the Engineering Enterprise
• •  ISE 556 Stochastic Systems and Reinforcement Learning
• •  ISE 558 Data Management for Analytics
• •  ISE 559 Introduction to Data Management
• •  ISE 560 Analysis of Algorithms
• •  ISE 561 Economic Analysis of Engineering Projects
• •  ISE 562 Decision Analysis
• •  ISE 563 Financial Engineering
• •  ISE 564 Organizational Performance Analysis
• •  ISE 565 Law and Finance for Engineering Innovation
• •  ISE 566 Financial Accounting Analysis for Engineering
• •  ISE 567 Collaborative Engineering Principles and Practice
• •  ISE 568 Machine Learning
• •  ISE 570 Human Factors in Engineering
• •  ISE 573 Work Physiology
• •  ISE 574 Probabilistic Reasoning
• •  ISE 576 Industrial Ecology
• •  ISE 580 Performance Analysis with Simulation
• •  ISE 581 Negotiation For Engineering Management
• •  ISE 582 Web Technology for Industrial Engineering
• •  ISE 583 Enterprise Wide Information Systems
• •  ISE 585 Strategic Management of Technology and Innovation
• •  ISE 587 Risk Analysis
• •  ISE 589 Port Engineering: Planning and Operational Analysis
• •  ISE 590 Directed Research
• •  ISE 594a Master’s Thesis
• •  ISE 594b Master’s Thesis
• •  ISE 594z Master’s Thesis
• •  ISE 599 Special Topics
• •  ISE 610 Advanced Design of Experiments and Quality Engineering
• •  ISE 615 Reinforcement Learning and Control Theory
• •  ISE 620 Foundations of Stochastic Processes
• •  ISE 630 Foundations of Optimization