collapse allexpand all
Industrial and Systems Engineering (ISE)
- https://ise.usc.edu
- D class assignments for undergraduates available in GER; Phone: (213) 740-4893.
- (213) 740-4893. 7 D class assignments for undergraduates and on-campus graduate students available online at ise.usc.edu/current-students/ or via phone at (213) 740-4893. 7 D class assignments for undergraduates available in GER247; phone
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.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31600R | 001 | Lecture | 10:00-11:50am | Friday | 20 of 35 | Shinyi Wu | KAP158 |
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.
- Prerequisite: MATH 126
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31601D | 001 | Lecture | 4:00-5:20pm | Mon, Wed | 37 of 40 | Mohammad Reza Rajati | SGM601 | PDF (158974 KB) |
Sampling distributions; parameter estimation, hypothesis testing; analysis of variance; regression; nonparametric statistics.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31602D | 001 | Lecture | 11:00-12:20pm | Tue, Thu | 34 of 35 | Kurt Palmer | KAP145 | PDF (40935 KB) |
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.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31683D | 001 | Lecture-Lab | 9:30-10:50am | Tue, Thu | 36 of 40 | Yalda Khashe | ZHS163 |
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.
- Prerequisite: ISE 225
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31681D | 001 | Lecture | 12:30-1:50pm | Tue, Thu | 9 of 40 | Yalda Khashe | KAP163 |
Introduction to linear programming; transportation and assignment problems; dynamic programming; integer programming; nonliner programming.
- Prerequisite: MATH 225
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31609D | 001 | Lecture | 2:00-3:20pm | Mon, Wed | 39 of 41 | Suvrajeet Sen | GFS207 |
Stochastic processes; Markov chains; queueing theory and queueing decision models; probabilistic inventory models. Recommended preparation: ISE 330
- Prerequisite: ISE 220
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31606D | 001 | Lecture | 12:30-1:50pm | Mon, Wed | 35 of 40 | Sheldon Ross | KAP156 |
Design of Supply Chains. Product, distribution, transportation and site selection. Analysis and optimization of supply chain networks.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31646D | 001 | Lecture | 3:30-4:50pm | Tue, Thu | 18 of 36 | Geza Bottlik | KAP156 | ||
31644R | 001 | Lab | 3:00-3:50pm | Wednesday | 18 of 36 | Geza Bottlik | SAL126 |
Physiological systems and psychological characteristics; ergonomics; anthropometry; effects of the physical environment on humans; occupational safety and health; work methods.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31607D | 001 | Lecture | 2:00-3:20pm | Tue, Thu | 28 of 35 | Najmedin Meshkati | KAP145 | ||
31637R | 001 | Lab | 4:00-6:20pm | Wednesday | 28 of 35 | Najmedin Meshkati | SAL127 |
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.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31527D | 001 | Lecture | 12:00-1:50pm | Mon, Wed | 18 of 35 | Shalini Gupta | KAP163 | ||
31572R | 001 | Lab | 2:00-2:50pm | Wednesday | 18 of 35 | Shalini Gupta | SAL126 |
Data models for industry applications. Modeling and designing robust databases. Implementing and querying databases with SQL. Innovations in database applications.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31628D | 001 | Lecture | 10:00-11:50am | Mon, Wed | 40 of 41 | Nathan Greenfield | GFS207 | ||
31629R | 001 | Discussion | 9:30-10:50am | Friday | 16 of 25 | Nathan Greenfield | |||
31631R | 001 | Discussion | 11:00-12:20pm | Friday | 24 of 25 | Nathan Greenfield |
Production planning, forecasting, scheduling, and inventory; computer integrated decision systems in analysis and control of production systems. Prerequisite: ISE 330.
- Prerequisite: ISE 330
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31610D | 001 | Lecture | 11:00-12:20pm | Tue, Thu | 26 of 35 | Geza Bottlik | KAP148 |
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
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31622D | 001 | Lecture | 2:00-3:20pm | Tue, Thu | 27 of 35 | Kurt Palmer | KAP148 | PDF (41326 KB) |
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. Prerequisites: CSCI 101 and ISE 225.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31613D | 001 | Lecture | 3:30-4:50pm | Mon, Wed | 37 of 45 | Victoria Stodden | LVL16 | ||
31623R | 001 | Lab | 5:00-5:50pm | Thursday | 12 of 20 | Victoria Stodden | SAL127 | ||
31626R | 001 | Lab | 4:00-4:50pm | Thursday | 25 of 25 | Victoria Stodden | SAL126 |
Impact of technology on work and organizational design; effects of automation; design of improvement programs; information infrastructures; teams; individual behavioral outcomes. Upper division standing.
- Restriction: Registration open to the following class level(s): Junior, Senior
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31632D | 001 | Lecture | 3:30-4:50pm | Tue, Thu | 33 of 40 | Yalda Khashe | KAP146 |
Utilizing principles of economic analysis for choice of engineering alternatives and engineering systems. Pre-tax and after-tax economy studies.
- Note: Register for one lecture & discussion listed immediately following that lecture
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31615R | 001 | Lecture | 6:40-9:20pm | Monday | 73 of 120 | Ali Nowroozi | OHE122 | ||
31645R | 001 | Discussion | 12:00-12:50pm | Friday | 39 of 85 | OHE122 | |||
31665R | 001 | Discussion | 11:00-11:50am | Friday | 34 of 35 | ||||
31675D | 014 | Lecture | 6:40-9:20pm | Monday | 2 of 10 | Ali Nowroozi | DEN@Viterbi | ||
31685D | 014 | Discussion | 12:00-12:50pm | Friday | 2 of 10 | DEN@Viterbi |
Methodology to store, organize, cleanse, harmonize and stage enterprise data for analytics. Report, visualize, slice and dice, forecast and predict trends.
- Prerequisite: 1 from (ITP 249 or ITP 320 or DSCI 351)
- Crosslist: This course is offered by the ITP department but may qualify for major credit in ISE. To register, enroll in ITP 487.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31832D | 001 | Lecture-Lab | 2:00-3:50pm | Mon, Wed | 29 of 65 | Mike Lee | THH208 | PDF (422890 KB) | |
31845D | 001 | Lecture-Lab | 12:00-1:50pm | Mon, Wed | 59 of 65 | Mike Lee | LVL17 | PDF (422890 KB) |
Individual research and readings. Not available for graduate credit.
- Restriction: Registration open to the following class level(s): Junior, Senior
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31617D | 001 | Lecture | TBA | TBA | 0 of 10 | OFFICE |
a: Preparation and development of the senior project proposal. Not available for graduate credit. Senior standing in industrial and systems engineering. Prerequisites: ISE 225 and ISE 460 and DSO 435 or ISE 382.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31636D | 001 | Lecture | 9:00-11:50am | Friday | 43 of 60 | Paul Lu,Theodore Mayeshiba | GFS118 | PDF (258313 KB) |
Group work on an industrial engineering design problem in an organization. Not available for graduate credit. Senior standing in industrial and systems engineering. Prerequisites: ISE 315 and ISE 435 and ISE 370 or ISE 470. Open only to Industrial and Systems Engineering majors.
- Prerequisite: ISE 435 and 1 from (ISE 370 or ISE 470) and (ISE 315 and ISE 495a)
- Restriction: Registration open to the following major(s): Industrial and Systems Engineering, Industrial & Systems Engineering (Info. Systems Engr.)
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31619D | 001 | Lecture | 9:00-11:50am | Friday | 12 of 25 | Paul Lu,Theodore Mayeshiba,Jim Moore | KAP159 | PDF (135764 KB) |
Framing engineering management situations with statistical methods. Experiments, distributions, regression, ANOVA, hypothesis.
- Restriction: Registration open to the following class level(s): Master Student, Senior (fifth year)
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31500D | 048 | Lecture | 2:00-3:20pm | Tue, Thu | 48 of 50 | Geza Bottlik | RTH105 | ||
31700D | 034 | Lecture | 2:00-3:20pm | Tue, Thu | 9 of 20 | Geza Bottlik | DEN@Viterbi |
Fundamental accounting principles, financial analysis and financial control, strategic management and a review of alternative project delivery methods.
- Crosslist: This course is offered by the CE department but may qualify for major credit in ISE. To register, enroll in CE 502.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
29724R | 048 | Lecture | 6:30-9:50pm | Monday | 17 of 48 | Ed Reynolds | RTH115 | PDF (449090 KB) | |
29725D | 034 | Lecture | 6:30-9:50pm | Monday | 11 of 19 | Ed Reynolds | DEN@Viterbi | PDF (449090 KB) | |
29726D | 586 | Lecture | TBA | ThFS | 21 of 22 | Ed Reynolds | DEN@Viterbi | PDF (449090 KB) |
Study of lean principles and practices as applied to various industries.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31522D | 048 | Lecture | 5:00-7:50pm | Friday | 6 of 45 | Theodore Mayeshiba | OHE120 | PDF (252207 KB) | |
31722D | 034 | Lecture | 5:00-7:50pm | Friday | 6 of 20 | Theodore Mayeshiba | DEN@Viterbi | PDF (252207 KB) |
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.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31508D | 048 | Lecture | 6:40-9:20pm | Wednesday | 22 of 35 | David Belson | OHE132 | PDF (182431 KB) | |
31708D | 034 | Lecture | 6:40-9:20pm | Wednesday | 7 of 10 | David Belson | DEN@Viterbi | PDF (182431 KB) |
Theories of management and their application to software projects. Economic analysis of software products and processes. Software cost and schedule estimation, planning and control.
- Crosslist: This course is offered by the CSCI department but may qualify for major credit in ISE. To register, enroll in CSCI 510.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
30007D | 048 | Lecture | 9:00-10:50am | Mon, Wed | 116 of 120 | Barry Boehm | OHE122 | ||
30005D | 034 | Lecture | 9:00-10:50am | Mon, Wed | 17 of 20 | Barry Boehm | DEN@Viterbi |
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.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31514D | 048 | Lecture | 2:00-3:20pm | Tue, Thu | 29 of 32 | Shalini Gupta | RTH115 | ||
31714D | 034 | Lecture | 2:00-3:20pm | Tue, Thu | 13 of 20 | Shalini Gupta | DEN@Viterbi |
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.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31505D | 048 | Lecture | 4:00-6:40pm | Tuesday | 29 of 30 | Herag Haleblian | GFS222 | Word (69964 KB) | |
31515D | 048 | Lecture | 3:30-6:10pm | Monday | 34 of 40 | Ali Nowroozi | OHE100C | ||
31715D | 034 | Lecture | 3:30-6:10pm | Monday | 23 of 30 | Ali Nowroozi | DEN@Viterbi |
Principles of quality management, quality philosophies and frameworks, quality leadership and strategic planning, process management, and performance measurements.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31537D | 048 | Lecture | 11:00-12:20pm | Tue, Thu | 39 of 45 | Thomas Booth | OHE100C | Word (36403 KB) | |
31737D | 034 | Lecture | 11:00-12:20pm | Tue, Thu | 14 of 20 | Thomas Booth | DEN@Viterbi | Word (36336 KB) |
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.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31529D | 048 | Lecture | 3:30-6:20pm | Monday | 58 of 60 | Cesar Acosta-Mejia | OHE136 | PDF (312733 KB) | |
31546D | 048 | Lecture | 7:00-9:50pm | Thursday | 66 of 90 | Bruce Wilcox | SLH100 | PDF (308287 KB) | |
31726D | 048 | Lecture | 5:00-7:50pm | Thursday | 60 of 60 | Cesar Acosta-Mejia | GFS101 | PDF (314285 KB) | |
31731D | 034 | Lecture | 3:30-6:20pm | Monday | 34 of 40 | Cesar Acosta-Mejia | DEN@Viterbi | PDF (312733 KB) |
Linear Programming, Integer Programming, quadratic and nonlinear programming.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31528D | 048 | Lecture | 12:00-1:50pm | Mon, Wed | 64 of 65 | Meisam Razaviyayn | VPD105 | ||
31530D | 048 | Lecture | 2:00-3:20pm | Tue, Thu | 6 of 10 | Michael Karyeaclis | OHE100B | ||
31531D | 048 | Lecture | 2:00-3:20pm | Tue, Thu | 39 of 40 | Andres Gomez Escobar | LVL16 | ||
31547D | 048 | Lecture | 8:00-9:20am | Tue, Thu | 60 of 60 | Andres Gomez Escobar | GFS118 | ||
31730D | 034 | Lecture | 2:00-3:20pm | Tue, Thu | 24 of 40 | Michael Karyeaclis | DEN@Viterbi |
Consulting project concepts, frameworks, analytical tools, and managerial skills with a focus on the use of data analytics, design thinking and insight-driven frameworks.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31746D | 048 | Lecture | 4:00-6:50pm | Monday | 38 of 60 | Saeed Mohasseb | ZHS352 |
Data preprocessing, data cleaning, data summarization, data visualization, and predictive modeling for classification and regression; modeling dependencies using association rules.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31542D | 048 | Lecture | 3:30-6:20pm | Friday | 56 of 60 | Bruce Wilcox | GFS101 | PDF (314465 KB) |
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.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31536D | 048 | Lecture | 5:00-7:50pm | Wednesday | 32 of 37 | Sima Parisay | CPA203 | PDF (324800 KB) |
Portfolio construction and active portfolio management; investment strategies; machine learning models in quantitative finance; equity factor investing and general risk premia investing.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31598D | 048 | Lecture | 12:30-1:50pm | Tue, Thu | 40 of 41 | Renyuan Xu | KAP158 |
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.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31538D | 048 | Lecture | 3:30-4:50pm | Mon, Wed | 41 of 47 | Sheldon Ross | OHE100B | ||
31738D | 034 | Lecture | 3:30-4:50pm | Mon, Wed | 15 of 20 | Sheldon Ross | DEN@Viterbi |
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
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31799D | 048 | Lecture | 2:00-3:20pm | Mon, Wed | 37 of 40 | Mayank Kejriwal | KDC236 |
Design and management of engineering teams. Group decision-making, motivation, leadership, infrastructural requirements, performance measurement, team diversity, conflict, and integration.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31504D | 048 | Lecture | 7:10-9:50pm | Monday | 39 of 50 | Kazuo Takeda | OHE132 | PDF (421119 KB) | |
31704D | 034 | Lecture | 7:10-9:50pm | Monday | 19 of 20 | Kazuo Takeda | DEN@Viterbi | PDF (421119 KB) |
Principles and practices of technology development and implementation, with application to products and systems in manufacturing and services.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31545D | 048 | Lecture | 6:40-9:20pm | Monday | 41 of 60 | Stephen Lu | OHE136 | ||
31745D | 034 | Lecture | 6:40-9:20pm | Monday | 26 of 30 | Stephen Lu | DEN@Viterbi |
Function, design, and use of modern data management systems, including cloud; data management techniques; data modeling; network attached storage, clusters and data centers; relational databases; the map-reduce paradigm.
- Crosslist: This course is offered by the DSCI department but may qualify for major credit in ISE. To register, enroll in DSCI 559.
- Note: This course is only for students in the ISE analytics program. This course is not open to Applied Data Science or CS students.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
32435R | 048 | Lecture | 10:00-12:50pm | Friday | 76 of 76 | Bruce Wilcox | OHE136 | PDF (308069 KB) | |
32436D | 034 | Lecture | 10:00-12:50pm | Friday | 25 of 25 | Bruce Wilcox | DEN@Viterbi | PDF (308069 KB) |
Explores fundamental techniques such as recursion, Fourier transform ordering, dynamic programming for efficient algorithm construction. Examples include arithmetic, algebraic, graph, pattern matching, sorting, searching algorithms.
- Crosslist: This course is offered by the CSCI department but may qualify for major credit in ISE. To register, enroll in CSCI 570.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
30101D | 048 | Lecture | 5:00-7:20pm | Monday | 314 of 330 | Shahriar Shamsian | SGM123 | ||
29928R | 048 | Discussion | 7:30-8:20pm | Monday | 314 of 330 | SGM123 | |||
29923R | 048 | Quiz | 5:00-6:50pm | Friday | 314 of 330 | TBA | |||
30102D | 048 | Lecture | 5:00-7:20pm | Wednesday | 224 of 241 | Shahriar Shamsian | SGM124 | ||
30342R | 048 | Discussion | 7:30-8:20pm | Wednesday | 224 of 241 | SGM124 | |||
30379R | 048 | Quiz | 5:00-6:50pm | Friday | 224 of 241 | TBA | |||
30274D | 048 | Lecture | 5:00-7:20pm | Thursday | 310 of 319 | Shahriar Shamsian | THH101 | ||
30275R | 048 | Discussion | 7:30-8:20pm | Thursday | 310 of 319 | THH101 | |||
30276R | 048 | Quiz | 5:00-6:50pm | Friday | 310 of 319 | TBA | |||
30099D | 034 | Lecture | 5:00-7:20pm | Wednesday | 41 of 50 | Shahriar Shamsian | DEN@Viterbi | ||
30253R | 034 | Discussion | 7:30-8:20pm | Wednesday | 41 of 50 | DEN@Viterbi | |||
30152R | 034 | Quiz | 5:00-6:50pm | Friday | 41 of 50 | DEN@Viterbi |
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.
- Prerequisite: ISE 500
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31561D | 048 | Lecture | 11:00-12:20pm | Tue, Thu | 12 of 33 | Shalini Gupta | RTH109 | ||
31761D | 034 | Lecture | 11:00-12:20pm | Tue, Thu | 8 of 15 | Shalini Gupta | DEN@Viterbi |
Decision making under risk conditions; utility theory; sufficient statistics; conjugate prior distributions; terminal and pre-posterior analysis; Bayesian statistics versus classical statistics.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31562D | 048 | Lecture | 3:30-6:20pm | Wednesday | 37 of 38 | Ali Abbas | RTH105 | ||
31728D | 034 | Lecture | 3:30-6:20pm | Wednesday | 33 of 40 | Ali Abbas | DEN@Viterbi | ||
31762D | 048 | Lecture | 6:00-9:20pm | Wednesday | 46 of 50 | Jeffrey Smith | GFS118 | PDF (66868 KB) |
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.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31563D | 048 | Lecture | 7:00-9:40pm | Monday | 26 of 45 | Gordon Delianedis | RTH109 | ||
31763D | 034 | Lecture | 7:00-9:40pm | Monday | 4 of 20 | Gordon Delianedis | DEN@Viterbi |
Statistical methods for building intelligent and adaptive systems that improve performance from experiences; Focus on theoretical understanding of these methods and their computational implications. Recommended preparation: Undergraduate level training or coursework in linear algebra, multivariate calculus, basic probability and statistics; an undergraduate level course in Artificial Intelligence may be helpful but is not required.
- Crosslist: This course is offered by the CSCI department but may qualify for major credit in ISE. To register, enroll in CSCI 567.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
29995D | 048 | Lecture | 5:00-7:20pm | Thursday | 232 of 275 | Haipeng Luo | SGM123 | PDF (52827 KB) | |
30151R | 048 | Discussion | 7:30-8:20pm | Thursday | 232 of 275 | SGM123 | |||
29984R | 048 | Quiz | TBA | TBA | 232 of 275 | OFFICE | |||
30259D | 034 | Lecture | 5:00-7:20pm | Thursday | 9 of 20 | Haipeng Luo | DEN@Viterbi | ||
30272R | 034 | Discussion | 7:30-8:20pm | Thursday | 9 of 20 | DEN@Viterbi | |||
29985R | 034 | Quiz | TBA | TBA | 9 of 20 | DEN@Viterbi |
Introduction to modeling and analysis of stochastic systems, with an emphasis on discrete-event simulation of non-Markovian systems.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31580D | 048 | Lecture | 5:00-7:50pm | Tuesday | 31 of 45 | Sima Parisay | SLH100 | PDF (326899 KB) |
The role of enterprise resource planning systems (ERPs) in an organization and the task of implementing and managing the IS function.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31583D | 048 | Lecture | 2:00-3:20pm | Tue, Thu | 39 of 40 | Richard Vawter | OHE120 | PDF (518141 KB) | |
31588D | 048 | Lecture | 5:00-6:20pm | Mon, Wed | 10 of 50 | Mike Lee | OHE100B | PDF (326831 KB) | |
31783D | 034 | Lecture | 2:00-3:20pm | Tue, Thu | 9 of 10 | Richard Vawter | DEN@Viterbi | PDF (518141 KB) | |
31788D | 034 | Lecture | 5:00-6:20pm | Mon, Wed | 49 of 70 | Mike Lee | DEN@Viterbi | PDF (326831 KB) |
Concepts of risk analysis, risk in engineered systems, environmental risk, security risks; fault trees, event trees, risk simulations; risks and decision-making.
- Crosslist: This course is offered by the PPD department but may qualify for major credit in ISE. To register, enroll in PPD 587.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
51514R | 001 | Lecture | 2:00-5:20pm | Monday | 28 of 32 | Detlof Von Winterfeldt | RGL101 |
Research leading to the master's degree; maximum units which may be applied to the degree to be determined by the department. Graded CR/NC.
Section | Session | Units | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|---|
31590D | 048 | 1.0-12.0 | Lecture | TBA | TBA | 2 of 10 | Stephen Lu | OFFICE | ||
31591D | 048 | 1.0-6.0 | Lecture | TBA | TBA | 1 of 10 | Shalini Gupta | OFFICE | ||
31594D | 001 | 1.0-12.0 | Lecture | TBA | TBA | 0 of 10 | TBA | |||
31596D | 048 | 1.0-6.0 | Lecture | TBA | TBA | 0 of 5 | OFFICE |
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.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31612D | 048 | Lecture | 2:00-3:20pm | Mon, Wed | 13 of 20 | Qiang Huang | KAP148 |
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.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31770D | 048 | Lecture | 2:00-3:20pm | Tue, Thu | 7 of 20 | Jong-Shi Pang | KAP159 |
Large scale optimization algorithms that arise in modern data science and machine learning applications. Stochastic Optimization, Accelerated Methods, Parallelization, Online Optimization, Randomized Linear Algebra
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31534D | 048 | Lecture | 3:30-4:50pm | Mon, Wed | 28 of 35 | Meisam Razaviyayn | KAP148 | PDF (125693 KB) |
Current research, guest speakers in the field; review papers; guidance in preparing research proposals and special projects. Duplicates credit in the former ISE-650abc. Open only to Fifth Year Seniors and Master’s Students.
- Restriction: Registration open to the following class level(s): Senior (fifth year), Master Student, Doctoral Student
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31694D | 048 | Lecture | 3:30-4:50pm | Tuesday | 20 of 30 | Yigal Arens | KAP148 |
Fundamental techniques for design and analysis of algorithms. Dynamic programming; network flows; theory of NP-completeness; linear programming; approximation, randomized, and online algorithms; basic cryptography. Prerequisite: CSCI 570. Recommended preparation: familiarity with algorithms and discrete mathematics. Open only to doctoral students.
- Prerequisite: CSCI 570
- Restriction: Registration open to the following class level(s): Doctoral Student
- Crosslist: This course is offered by the CSCI department but may qualify for major credit in ISE. To register, enroll in CSCI 670.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
30236D | 048 | Lecture | 2:00-3:50pm | Mon, Wed | 29 of 40 | Shanghua Teng | VHE217 |
Research leading to the doctorate. Maximum units which may be applied to the degree to be determined by the department. Graded CR/NC.
Section | Session | Units | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|---|
31701D | 048 | 1.0-12.0 | Lecture | TBA | TBA | 1 of 10 | Yong Chen | OFFICE | ||
31702D | 048 | 1.0-12.0 | Lecture | TBA | TBA | 1 of 10 | Ali Abbas | OFFICE | ||
31703D | 048 | 1.0-12.0 | Lecture | TBA | TBA | 1 of 10 | Suvrajeet Sen | OFFICE | ||
31705D | 048 | 1.0-12.0 | Lecture | TBA | TBA | 1 of 10 | Stephen Lu | OFFICE | ||
31706D | 048 | 1.0-7.0 | Lecture | TBA | TBA | 1 of 10 | Jong-Shi Pang | OFFICE | ||
31707D | 048 | 1.0-6.0 | Lecture | TBA | TBA | 1 of 10 | Qiang Huang | OFFICE | ||
31709D | 048 | 1.0-6.0 | Lecture | TBA | TBA | 1 of 10 | Sze-Chuan Suen | OFFICE | ||
31710D | 048 | 1.0-6.0 | Lecture | TBA | TBA | 2 of 10 | Maged Dessouky | OFFICE | ||
31711D | 048 | 1.0-6.0 | Lecture | TBA | TBA | 1 of 5 | Andres Gomez Escobar | OFFICE | ||
31712D | 048 | 1.0-6.0 | Lecture | TBA | TBA | 1 of 10 | Meisam Razaviyayn | OFFICE | ||
31713D | 048 | 1.0-6.0 | Lecture | TBA | TBA | 1 of 5 | Sheldon Ross | OFFICE | ||
31716D | 048 | 1.0-6.0 | Lecture | TBA | TBA | 1 of 5 | Phebe Vayanos | OFFICE | ||
31717D | 048 | 1.0-5.0 | Lecture | TBA | TBA | 1 of 5 | John Carlsson | OFFICE |
Credit on acceptance of Dissertation.
- Restriction: Registration open to the following class level(s): Doctoral Student
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31791D | 048 | Lecture | TBA | TBA | 6 of 10 | OFFICE |