Undergraduate Course Planning
Our Bachelor of Industrial and Systems Engineering curriculum emphasizes the fundamentals of analytics and management to support the modeling, design, and optimization of systems across a wide range of applications and domains. Students will learn the skills and tools necessary to succeed in a variety of industry, nonprofit and government settings.
All students are required to take a core set of courses that together ensure a strong foundation in the fundamentals of industrial and systems engineering. After the completion of core coursework covering calculus, chemistry, physics, computer science, probability and statistics, students gain solid industrial and systems engineering competencies through a rigorous curriculum of required ISyE courses. Each student customizes a technical elective course plan to prepare them for the career that most interests them. Student's chosen electives can result in a minor or emphasis in one of a number of fields, such as financial services, manufacturing and service operations, supply chain management, and healthcare operations.
All students complete a final capstone project that provides them with real-world experience by collaborating with a sponsoring company or organization. Students work in teams of four to five and receive guidance from a faculty advisor and industry mentor for 15 weeks during their senior year. This capstone project provides students with hands-on experience and proof of their abilities as they prepare to launch their career.
Sample Course Schedule
This plan is not a contract and is subject to variation. Students are required to complete 122 class credits to acquire their degree.
Freshman Year - Fall Semester
|MATH 1371—CSE Calculus I||Differentiation of single-variable functions, basics of integration of single-variable functions. Applications: max-min, related rates, area, curve-sketching. Use of calculator, cooperative learning. prereq: CSE or pre-bioprod concurrent registration is required (or allowed) in biosys engn (PRE), background in [precalculus, geometry, visualization of functions/graphs], instr consent; familiarity with graphing calculators recommended|
|PHYS 1301W—Introductory Physics for Science and Engineering I||Use of fundamental principles to solve quantitative problems. Motion, forces, conservation principles, structure of matter. Applications to mechanical systems. prereq: concurrent registration is required (or allowed) in Math 1271 or concurrent registration is required (or allowed) in Math 1371 or concurrent registration is required (or allowed) in Math 1571|
|CSE 1001—First Year Experience||Resources and strategies for college success. Majors and career opportunities offered in the physical sciences, mathematics, and engineering. Personal responsibility, academic integrity, and level of academic rigor required for success. Personal action plan for achievement in CSE.|
|WRIT 1301—University Writing||Drafting, revising, editing. Academic genres. Critical reading, rhetorical analysis for principles of audience, purpose, and argumentative strategies. Emphasizes electronic/print library. Critical analysis, annotated bibliography, research paper. prereq: Placement in Writ 1301|
|Liberal Education course||-|
Freshman Year - Spring Semester
|MATH 1372—Calculus II||Techniques of integration. Calculus involving transcendental functions, polar coordinates, Taylor polynomials, vectors/curves in space, cylindrical/spherical coordinates. Use of calculators, cooperative learning. prereq: Grade of at least C- in [1371 or equiv], CSE or pre-Bioprod/Biosys Engr|
|PHYS 1302W—Introductory Physics for Science and Engineering II||Use of fundamental principles to solve quantitative problems. Motion, forces, conservation principles, fields, structure of matter. Applications to electromagnetic phenomena. prereq: 1301W, concurrent registration is required (or allowed) in Math 1272 or Math 1372 or Math 1572|
|CHEM 1061—Chemical Principles I||Atomic theory, periodic properties of elements. Thermochemistry, reaction stoichiometry. Behavior of gases, liquids, and solids. Molecular/ionic structure/bonding. Organic chemistry and polymers. energy sources, environmental issues related to energy use. Prereq-Grade of at least C- in [1011 or 1015] or [passing placement exam, concurrent registration is required (or allowed) in 1065]; intended for science or engineering majors; concurrent registration is required (or allowed) in 1065; registration for 1065 must precede registration for 1061|
|CHEM 1605—Chemical Principles I (Laboratory)||Basic laboratory skills while investigating physical and chemical phenomena closely linked to lecture material. Experimental design, data collection and treatment, discussion of errors, and proper treatment of hazardous wastes. prereq: concurrent registration is required (or allowed) in 1061|
|Liberal Education course||-|
Sophomore Year - Fall Semester
|MATH 2374—CSE Multivariable Calculus and Vector Analysis||Derivative as linear map. Differential/integral calculus of functions of several variables, including change of coordinates using Jacobians. Line/surface integrals. Gauss, Green, Stokes theorems. Use of computer technology. prereq: [1272 or 1282 or 1372 or 1572] w/grade of at least C-, CSE or pre-Bioprod/Biosys Engr|
|IE 1101—Foundations of Industrial and Systems Engineering||History/development of industrial/systems engineering, operations planning, quality control, human factors, resource management, financial engineering, facility location/layout, optimization, probabilistic/stochastic models, simulation, project management. prereq: [MATH 1372 or equiv], CSE student|
|IE 2021—Engineering Economics||Cost/design process, cost estimation models, cash flow analysis, interest rate models, time value of money, evaluation of projects, internal rate of return, depreciation/income taxes, price changes/inflation, capital budgeting, decision making under uncertainty. prereq: [MATH 1372 or equiv], CSE student|
|CSCI 1133—Introduction to Computing and Programming Concepts||Fundamental programming concepts using Python language. Problem solving skills, recursion, object-oriented programming. Algorithm development techniques. Use of abstractions/modularity. Data structures/abstract data types. Develop programs to solve real-world problems. prereq: concurrent registration is required (or allowed) in MATH 1271 or concurrent registration is required (or allowed) in MATH 1371 or concurrent registration is required (or allowed) in MATH 1571H or instr consent|
Sophomore Year - Spring Semester
|MATH 2142—Elementary Linear Algebra||This course has three primary objectives. (1) To present the basic theory of linear algebra, including: solving systems of linear equations; determinants; the theory of Euclidean vector spaces and general vector spaces; eigenvalues and eigenvectors of matrices; inner products; diagonalization of quadratic forms; and linear transformations between vector spaces. (2) To introduce certain aspects of numerical linear algebra and computation. (3) To introduce applications of linear algebra to other domains such as data science. Objectives (2) and (3) will be taught with hands-on computer projects in a high-level programming language. prereq: MATH 1272 or equivalent|
|IE 3521—Statistics, Quality, and Reliability||Random variables/probability distributions, statistical sampling/measurement, statistical inferencing, confidence intervals, hypothesis testing, single/multivariate regression, design of experiments, statistical quality control, quality management, reliability, maintainability. prereq: MATH 1372 or equiv|
|ECON 1101—Principles of Microeconomics||Microeconomic behavior of consumers, firms, and markets in domestic and world economy. Demand and supply. Competition and monopoly. Distribution of income. Economic interdependencies in the global economy. Effects of global linkages on individual decisions. prereq: knowledge of plane geometry and advanced algebra|
|Liberal Education course||-|
Junior Year - Fall Semester
|IE 3011—Optimization I||Optimization models, data/solutions, linear programming, simplex method, duality theory, sensitivity analysis, network optimization models, integer programming. prereq: 1101, MATH 2142, MATH 2374, Upper Division CSE|
|Business course||Options for the Business course requirement include: MKTG 3001—Principles of Marketing, SCO 3001—Supply Chain and Operations, MGMT 3001—Fundamentals of Management, FINA 3001—Finance Fundamentals, ACCT 3001—Introduction to Management Accounting, and IDSC 3001—Introduction to Information Technology in Business.|
|Technical Elective I||-|
|Liberal Education course||-|
Junior Year - Spring Semester
|IE 3522—Quality Engineering and Reliability||Quality engineering/management, economics of quality. Statistical process control, reliability, maintain ability, availability. prereq: 3521, MATH 2142, MATH 2374, ISyE major|
|IE 3012—Optimization II||Classifying optimization models. Modeling binary variables, branch and bound. Shortest path. Minimum spanning tree. Nonlinear programming, global and local optima, optimality conditions. Algebraic modeling languages and optimization solvers. prereq: 3011, ISyE major|
|IE 4011—Stochastic Models||Models for describing/evaluating random systems. Formulating/analyzing stochastic models for business. Discrete-time/continuous-time Markov chains. Poisson processes. Markovian/non-Markovian queueing theory. Inventory management, manufacturing, reliability. prereq: 3521, MATH 2142, MATH 2374, ISyE major|
|IE 4551—Production and Inventory Control||Methods for managing production, inventory, supply chain operations. Demand forecasting, inventory control, production planning/scheduling, supply chain coordination, manufacturing flow analysis. Implications of emerging technologies, business practices, government regulations. prereq: 3011, 3521, ISyE major|
Senior Year - Fall Semester
|IE 3553—Simulation||Introduction to techniques/tools of stochastic simulation. Applications from finance/insurance risk. Problems in inventory/queueing. prereq: CSCI 1133, IE 3521, ISyE major|
|IE 4551—Human Factors||Human factors engineering (ergonomics), methods engineering, work measurement. Human-machine interface: displays, controls, instrument layout, supervisory control. Anthropometry, work physiology/biomechanics. Work environmental factors. Methods engineering. prereq: ISyE senior|
|IE 4541W—Project Management||Introduction to engineering project management. Analytical methods of selecting, organizing, budgeting, scheduling, and controlling projects. Risk management, team leadership, program management. prereq: ISyE senior|
|Technical Elective II||-|
Senior Year - Spring Semester
|IE 4041W—Senior Design||Work in small teams to address open-ended problem in industrial/systems engineering. Teams work with faculty or industry advisers. Project, midterm/final presentation, final report. prereq: 1101, 2021, 3012, 3522, 3553, 4011, 4511, 4541W, 3521, 4551, ISyE senior|
|Technical Elective III||-|
|Technical Elective IV||-|
|Technical Elective V||-|
Technical Elective Courses
By the end of their sophomore year, it is recommended that each student starts thinking about potential areas of focus or career paths so that they may begin technical elective courses during their junior year. During the spring semester of their junior year, each student submits an ISyE Technical Elective Approval Form to an ISyE Adviser for review.
Fifteen credits of technical electives are required for degree completion, although students are eligible to take more out of personal interest or in pursuit of a minor or second major. A list of approved courses is available below.
If a student would like a course not in the above list evaluated for technical elective credit, they must send an email to email@example.com with a (1) copy of the course's syllabus, and (2) a completed copy of the Technical Elective Evaluation Form.
Undergraduate Research Opportunities
Students pursuing their Bachelor's in ISyE have the chance to deepen their academic and career interests by taking part in research, scholarly and creative projects with a faculty member. ISyE's diverse faculty offer many opportunities for students to prepare for their career or graduate school, or even start a research project of their own creation.
How Kaitlyn Erdmann is utilizing her degree...
Before earning her Bachelor's Degree in Industrial and Systems Engineering, Kaitlyn interned at Boston Scientific and worked part-time at the medical device manufacturer's local offices during her senior year. When she graduated, Boston Scientific hired Kaitlyn as an internal consultant for process improvement. She now supports two divisions within the medical device manufacturer. Her role includes engaging with leaders and contributors across all of the company's non-operations based functions (such as sales, research and development, supply chain, and marketing) to uncover ways to reduce waste and improve productivity.
In her job, Kaitlyn facilitates many kaizen events, which focus on mapping out a current process and identifying potential solutions for improvement. She also develops and teaches lean training so her colleagues may apply those principles in the office space.
How David Busacker is utilizing his degree...
David, a summa cum laude graduate from the ISyE program, began focusing his electives and honors thesis work on additive manufacturing after taking a technical elective on 3D printing in the fall of his junior year. Upon graduating, he began consulting Fortune 500s as a business consultant at branding agency SGK Inc. Separately but at the same time, David started teaching the same 3D printing class that had captivated his attention as an undergraduate student.
Eventually, after growing his teaching network, he became an Applications Engineer at Stratasys, the world's largest 3D printing company. There he advised the most advanced additive users in the Midwest territory on additive applications and best practices. In 2018, he joined a growing consultancy within Stratasys focused on driving additive adoption in a variety of industries including medical, automotive, and consumer goods.
David's philosophy on additive manufacturing is that the true barriers to 3D printing adoption are more often a lack of strategy or knowledge than the technical immaturity of the manufacturing practice. His goal is to bring future-ready companies to the doorstep of innovation.
How Olivia Evanson is utilizing her degree...
Olivia is currently in her fifth year at the University of Southern California, pursuing her Ph.D. in Industrial and Systems Engineering. Her dissertation research focuses on using health analytics to understand the role of patient-reported outcomes in the evaluation of chronic disease care-management models.
She plans to complete her Ph.D. in December 2019 and pursue a career in industry working as a product manager for a digital health startup. Long term, her goal is to return to USC as a teaching professor of industrial and systems engineering courses.