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Industrial and Systems Engineering (ISE)
- https://ise.usc.edu
- D class assignments for undergraduates available in GER247; 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
Engineering examples are used as a platform to introduce computer programming skills for problem solving; critical thinking skills.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31526D | 001 | Lecture | 2:00-3:50pm | Tue, Thu | 44 of 44 | Nathan Greenfield | GFS207 |
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 | 11:00-12:20pm | Tue, Thu | 31 of 31 | Hamid Chabok | SSL202 | PDF (1214853 MB) |
Sampling distributions; parameter estimation, hypothesis testing; analysis of variance; regression; nonparametric statistics.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31520D | 001 | Lecture | 12:30-1:50pm | Tue, Thu | 11 of 30 | Yalda Khashe | ZHS360 | ||
31602D | 001 | Lecture | 12:00-1:50pm | Mon, Wed | 36 of 45 | Haomiao Jin | MHPB7B | PDF (26767 KB) |
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 110 or CHEM 105aL or CHEM 115aL
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31603D | 001 | Lecture-Lab | 9:30-10:50am | Tue, Thu | 17 of 35 | Yong Chen | VKC261 | PDF (123602 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 | 12:30-1:50pm | Tue, Thu | 35 of 35 | Neil Siegel | THH119 | PDF (268180 KB) |
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 |
---|---|---|---|---|---|---|---|---|---|
31605D | 001 | Lecture | 12:30-1:50pm | Tue, Thu | 30 of 35 | Phebe Vayanos | VHE210 |
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 | Tue, Thu | 30 of 30 | John Carlsson | VHE206 | ||
31617D | 001 | Lecture | 9:30-10:50am | Tue, Thu | 22 of 30 | Sze-Chuan Suen | KAP147 |
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 | 2:00-3:20pm | Tue, Thu | 32 of 40 | Geza Bottlik | WPH102 | ||
31635R | 001 | Lab | 5:00-5:50pm | Monday | 10 of 36 | SAL127 | |||
31734R | 001 | Lab | 4:00-4:50pm | Monday | 22 of 30 | SAL127 |
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
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31540D | 001 | Lecture | 9:30-10:50am | Tue, Thu | 30 of 30 | Neil Siegel | GFS223 | PDF (297025 KB) |
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 | 5:00-6:20pm | Tue, Thu | 20 of 35 | Suzanne Dawes | KAP158 | ||
31637R | 001 | Lab | 5:00-7:20pm | Wednesday | 20 of 35 | SAL126 |
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 |
---|---|---|---|---|---|---|---|---|---|
31647D | 001 | Lecture | 2:00-3:20pm | Mon, Wed | 18 of 30 | Shalini Gupta | KAP148 | ||
31572R | 001 | Lab | 3:30-4:50pm | Wednesday | 18 of 30 | GFS222 |
Data models for industry applications. Modeling and designing robust databases. Implementing and querying databases with SQL. Innovations in database applications.
- Note: Register for lecture and one discussion
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31608D | 001 | Lecture | 10:00-11:50am | Mon, Wed | 31 of 32 | Nathan Greenfield | KAP147 | ||
31639R | 001 | Discussion | 9:00-10:20am | Friday | 8 of 30 | KAP267 | |||
31648R | 001 | Discussion | 10:30-11:50am | Friday | 23 of 30 | KAP267 |
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 | 12:00-1:50pm | Mon, Wed | 36 of 45 | Geza Bottlik | ZHS163 | PDF (29682 KB) |
Business process integration is the core advantage of using ERP systems. Analyze, configure, and test business processes for a company from the ground up.
- Prerequisite: ITP 320
- Crosslist: This course is offered by the ITP department but may qualify for major credit in ISE. To register, enroll in ITP 422.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31955D | 001 | Lecture | 2:00-3:50pm | Mon, Wed | 8 of 28 | Bhargav Oza | VHE206 | Word (441880 KB) |
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 | 11:00-12:20pm | Tue, Thu | 21 of 40 | Qiang Huang | VKC203 | PDF (211305 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 | 11:00-12:20pm | Tue, Thu | 24 of 35 | Kurt Palmer | GFS223 | PDF (38661 KB) | |
31633R | 001 | Lab | 4:00-4:50pm | Thursday | 24 of 35 | SAL127 |
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 |
---|---|---|---|---|---|---|---|---|---|
31614D | 001 | Lecture | 10:00-11:50am | Mon, Wed | 32 of 40 | Mansour Rahimi,Yalda Khashe | THH118 | PDF (241768 KB) |
Utilizing principles of economic analysis for choice of engineering alternatives and engineering systems. Pre-tax and after-tax economy studies. Upper division standing.
- Restriction: Registration open to the following class level(s): Junior, Senior, Master Student, Doctoral Student
- Note: Register for lecture and one discussion
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31615R | 001 | Lecture | 6:40-9:20pm | Monday | 48 of 110 | Erich Kreidler | OHE122 | Word (44107 KB) | |
31645R | 001 | Discussion | 12:00-12:50pm | Friday | 39 of 51 | OHE136 | |||
31655R | 001 | Discussion | 1:00-1:50pm | Friday | 9 of 30 | GFS222 | |||
31675D | 014 | Lecture | 6:40-9:20pm | Monday | 5 of 20 | Erich Kreidler | DEN@Viterbi | Word (44107 KB) | |
31685D | 014 | Discussion | 12:00-12:50pm | Friday | 5 of 20 | 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)
- 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 |
---|---|---|---|---|---|---|---|---|---|
31829D | 001 | Lecture | 12:00-1:50pm | Mon, Wed | 36 of 37 | Mike Lee | KAP163 | PDF (490460 KB) | |
31855D | 001 | Lecture | 2:00-3:50pm | Mon, Wed | 34 of 37 | Mike Lee | KAP163 | PDF (490460 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 |
---|---|---|---|---|---|---|---|---|---|
31626D | 001 | Lecture | TBA | TBA | 1 of 10 | Mansour Rahimi | OFFICE | ||
31627D | 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 |
---|---|---|---|---|---|---|---|---|---|
31618D | 001 | Lecture | 6:30-8:20pm | Tuesday | 23 of 28 | Theodore Mayeshiba,Paul Lu,Jim Moore | KAP267 |
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 | 6:30-8:20pm | Tuesday | 44 of 45 | Jim Moore,Theodore Mayeshiba,Paul Lu | KAP146 |
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 | 5:00-6:20pm | Tue, Thu | 19 of 35 | Geza Bottlik | OHE100C | ||
31700D | 034 | Lecture | 5:00-6:20pm | Tue, Thu | 6 of 15 | 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 |
---|---|---|---|---|---|---|---|---|---|
29788R | 048 | Lecture | 3:30-6:50pm | Monday | 16 of 48 | Ed Reynolds | KAP158 |
Study of lean principles and practices as applied to various industries.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31522D | 048 | Lecture | 5:10-7:50pm | Friday | 8 of 30 | Theodore Mayeshiba | OHE120 | ||
31722D | 034 | Lecture | 5:10-7:50pm | Friday | 10 of 18 | Theodore Mayeshiba | DEN@Viterbi |
Performance improvement projects within hospitals are undertaken by small teams collaborating with hospital staff. Study of tools to improve and optimize operations.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31509D | 048 | Lecture | 6:40-9:20pm | Wednesday | 16 of 25 | David Belson | GFS105 | PDF (187198 KB) |
Study advanced concepts behind computational representations, algorithms, and mathematical foundations, and their applications in computeraided design and manufacturing. Develop hands-on computational skills in team projects.
- Restriction: Registration open to the following class level(s): Master Student
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31512D | 048 | Lecture | 6:30-9:10pm | Thursday | 8 of 35 | Yong Chen | KAP147 | PDF (125948 KB) |
Deterministic and stochastic demand systems with static/dynamic models. Practice in inventory management, computerized procedures, materials requirements planning, just-in-time production, Kanban systems.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31513D | 048 | Lecture | 11:00-12:20pm | Tue, Thu | 25 of 36 | Geza Bottlik | OHE100B | ||
31713D | 034 | Lecture | 11:00-12:20pm | Tue, Thu | 6 of 12 | Geza Bottlik | 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 |
---|---|---|---|---|---|---|---|---|---|
31510D | 048 | Lecture | 2:00-3:20pm | Tue, Thu | 20 of 40 | Shalini Gupta | OHE100C | ||
31706D | 034 | Lecture | 2:00-3:20pm | Tue, Thu | 1 of 11 | 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 | 3:30-6:10pm | Wednesday | 22 of 33 | Ali Nowroozi | OHE100D | ||
31515D | 048 | Lecture | 4:00-6:40pm | Tuesday | 20 of 23 | Herag Haleblian | GFS109 | PDF (218901 KB) | |
31705D | 034 | Lecture | 3:30-6:10pm | Wednesday | 12 of 12 | Ali Nowroozi | DEN@Viterbi |
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
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31525D | 048 | Lecture | 12:30-1:50pm | Tue, Thu | 33 of 35 | Kurt Palmer | OHE100C | PDF (36222 KB) | |
31725D | 034 | Lecture | 12:30-1:50pm | Tue, Thu | 10 of 10 | Kurt Palmer | DEN@Viterbi | PDF (36222 KB) |
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 |
---|---|---|---|---|---|---|---|---|---|
31527D | 048 | Lecture | 11:00-12:20pm | Mon, Wed | 9 of 30 | Thomas Booth | OHE100D | Word (30831 KB) | |
31727D | 034 | Lecture | 11:00-12:20pm | Mon, Wed | 14 of 15 | Thomas Booth | DEN@Viterbi | Word (30831 KB) |
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
- Restriction: Registration open to the following class level(s): Master Student, Doctoral Student
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31533D | 048 | Lecture | 9:30-10:50am | Tue, Thu | 41 of 42 | Suvrajeet Sen | VKC102 |
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 | 6:40-9:20pm | Monday | 35 of 40 | Sima Parisay | OHE100B | Word (120320 KB) | |
31736D | 034 | Lecture | 6:40-9:20pm | Monday | 5 of 5 | Sima Parisay | DEN@Viterbi | PDF (227954 KB) |
Design and management of engineering teams. Group decision-making, motivation, leadership, infrastructure requirements, performance measurement, team diversity, conflict, and integration.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31504D | 048 | Lecture | 6:40-9:20pm | Wednesday | 25 of 28 | Ali Nowroozi | OHE136 | ||
31544D | 048 | Lecture | 6:40-9:20pm | Monday | 15 of 35 | Kazuo Takeda | KAP147 | PDF (478675 KB) | |
31704D | 034 | Lecture | 6:40-9:20pm | Wednesday | 20 of 22 | Ali Nowroozi | 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 INF department but may qualify for major credit in ISE. To register, enroll in INF 559.
- Note: This course is only for ISE analytics students
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
32457D | 048 | Lecture | 5:00-6:20pm | Tue, Thu | 99 of 100 | Carl Kesselman | ZHS159 |
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 |
---|---|---|---|---|---|---|---|---|---|
30227R | 048 | Quiz | 5:00-7:20pm | Friday | 539 of 575 | TBA | |||
30177D | 048 | Lecture | 5:00-7:20pm | Tuesday | 315 of 331 | Victor Adamchik | SGM123 | ||
30090R | 048 | Discussion | 7:30-8:20pm | Tuesday | 316 of 333 | Victor Adamchik | SGM123 | ||
30395D | 048 | Lecture | 5:00-7:20pm | Wednesday | 224 of 244 | Victor Adamchik | SGM124 | ||
30089R | 048 | Discussion | 7:30-8:20pm | Wednesday | 222 of 244 | Victor Adamchik | SGM124 | ||
30099D | 034 | Lecture | 5:00-7:20pm | Wednesday | 28 of 34 | Victor Adamchik | DEN@Viterbi | ||
29952R | 034 | Discussion | 7:30-8:20pm | Wednesday | 29 of 34 | DEN@Viterbi | |||
29953R | 034 | Quiz | 5:00-7:20pm | Friday | 28 of 34 | 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 | 15 of 35 | Shalini Gupta | OHE100C | ||
31761D | 034 | Lecture | 11:00-12:20pm | Tue, Thu | 7 of 10 | 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 | 2:00-4:50pm | Thursday | 40 of 46 | Detlof Von Winterfeldt | OHE136 | ||
31762D | 034 | Lecture | 2:00-4:50pm | Thursday | 14 of 14 | Detlof Von Winterfeldt | DEN@Viterbi |
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 | 4:00-6:50pm | Friday | 33 of 45 | Gordon Delianedis | OHE132 | ||
31763D | 034 | Lecture | 4:00-6:50pm | Friday | 9 of 11 | 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 |
---|---|---|---|---|---|---|---|---|---|
30079D | 048 | Lecture | 10:00-11:50am | Wed, Fri | 82 of 90 | Yan Liu | OHE132 | ||
30081R | 048 | Discussion | TBA | TBA | 82 of 90 | OFFICE | |||
30265R | 048 | Quiz | TBA | TBA | 82 of 90 | OFFICE | |||
30213D | 034 | Lecture | 10:00-11:50am | Wed, Fri | 15 of 30 | Yan Liu | DEN@Viterbi | ||
30264R | 034 | Discussion | TBA | TBA | 15 of 30 | DEN@Viterbi | |||
30266R | 034 | Quiz | TBA | TBA | 15 of 30 | DEN@Viterbi |
Concepts and methods to analyze the environmental impacts of industrial systems, including life-cycle assessment, material flow analysis, design for environment and sustainable consumption.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31576D | 048 | Lecture | 2:00-4:40pm | Monday | 16 of 35 | Robert Vos | OHE100B | PDF (440399 KB) | |
31776D | 034 | Lecture | 2:00-4:40pm | Monday | 8 of 10 | Robert Vos | DEN@Viterbi | PDF (440399 KB) |
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 | 6:40-9:20pm | Wednesday | 23 of 45 | Sima Parisay | OHE100D | PDF (228683 KB) | |
31780D | 034 | Lecture | 6:40-9:20pm | Wednesday | 4 of 10 | Sima Parisay | DEN@Viterbi | PDF (228683 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 |
---|---|---|---|---|---|---|---|---|---|
31503D | 048 | Lecture | 9:30-10:50am | Tue, Thu | 33 of 40 | Richard Vawter | OHE100B | PDF (473796 KB) | |
31583D | 048 | Lecture | 2:00-3:50pm | Mon, Wed | 36 of 45 | Richard Vawter | KAP156 | PDF (477155 KB) | |
31703D | 034 | Lecture | 9:30-10:50am | Tue, Thu | 3 of 5 | Richard Vawter | DEN@Viterbi | PDF (473796 KB) |
Management skills and tools for technology intensive enterprises. Life cycle analysis of technology from planning through exploitation, obsolescence and renewal.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31585D | 048 | Lecture | 12:30-1:50pm | Mon, Wed | 7 of 30 | Charles Tang | VHE206 | PDF (81274 KB) |
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 | 1 of 10 | Geza Bottlik | OFFICE | ||
31591D | 048 | 1.0-12.0 | Lecture | TBA | TBA | 1 of 10 | Thomas Booth | OFFICE | ||
31597D | 048 | 1.0-5.0 | Lecture | TBA | TBA | 1 of 10 | Stephen Lu | OFFICE | ||
31595D | 048 | 1.0-12.0 | Lecture | TBA | TBA | 1 of 10 | Mayank Kejriwal | TBA |
Credit on acceptance of Thesis.
- Restriction: Registration open to the following class level(s): Master Student
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31600D | 048 | Lecture | TBA | TBA | 0 of 10 | OFFICE |
Course content will be selected each semester to reflect current trends and developments in the field of industrial and systems engineering.
Section | Session | Units | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|---|
Advanced Decision Theory | ||||||||||
31519D | 048 | 3.0 | Lecture | 3:30-6:20pm | Thursday | 12 of 30 | Ali Abbas | VKC201 | Word (203843 KB) | |
Data Mining | ||||||||||
31542D | 048 | 3.0 | Lecture | 3:30-6:20pm | Wednesday | 37 of 40 | Cesar Acosta-Mejia | WPH102 | PDF (1060372 MB) | |
Data Mining | ||||||||||
31543D | 048 | 3.0 | Lecture | 12:00-2:50pm | Friday | 40 of 46 | Cesar Acosta-Mejia | ZHS163 | PDF (1071288 MB) | |
Data Analytics Consulting | ||||||||||
31596D | 048 | 3.0 | Lecture | 5:00-7:50pm | Monday | 50 of 50 | Saeed Mohasseb | VKC102 | ||
Business Intelligence with the SAS Platform | ||||||||||
31598D | 048 | 3.0 | Lecture | 4:00-6:50pm | Friday | 28 of 40 | Bruce Wilcox | GFS118 | Word (130441 KB) |
An introductory PhD course on stochastic processes, covering such topics as conditional expectation, renewal processes, and discrete and continuous time Markov chains.
- Restriction: Registration open to the following class level(s): Doctoral Student
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
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31621D | 048 | Lecture | 11:00-12:20pm | Tue, Thu | 18 of 35 | Sheldon Ross | LVL13 |
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.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
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31631D | 048 | Lecture | 12:30-1:50pm | Tue, Thu | 13 of 30 | Suvrajeet Sen | KAP140 |
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.
- Prerequisite: ISE 536
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
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31534D | 048 | Lecture | 9:30-10:50am | Tue, Thu | 11 of 30 | John Carlsson | KAP140 |
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 |
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31694D | 048 | Lecture | 3:30-4:50pm | Tuesday | 13 of 30 | Yong Chen | GER206 |
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 |
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30313D | 048 | Lecture | 10:00-11:50am | Mon, Wed | 54 of 50 | Ming-Deh Huang | SOSB46 |
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 |
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31594D | 048 | 1.0-12.0 | Lecture | TBA | TBA | 3 of 10 | John Carlsson | OFFICE | ||
31701D | 048 | 1.0-12.0 | Lecture | TBA | TBA | 2 of 10 | Maged Dessouky | OFFICE | ||
31702D | 048 | 1.0-12.0 | Lecture | TBA | TBA | 3 of 10 | Qiang Huang | OFFICE | ||
31708D | 048 | 1.0-12.0 | Lecture | TBA | TBA | 2 of 10 | Ali Abbas | OFFICE | ||
31709D | 048 | 1.0-12.0 | Lecture | TBA | TBA | 1 of 10 | Sze-Chuan Suen | OFFICE | ||
31710D | 048 | 1.0-12.0 | Lecture | TBA | TBA | 1 of 10 | Meisam Razaviyayn | OFFICE | ||
31711D | 048 | 1.0-12.0 | Lecture | TBA | TBA | 1 of 10 | Yong Chen | OFFICE | ||
31712D | 048 | 1.0-12.0 | Lecture | TBA | TBA | 1 of 10 | Andres Gomez Escobar | OFFICE | ||
31790D | 048 | 1.0-12.0 | Lecture | TBA | TBA | 1 of 10 | Jong-Shi Pang | OFFICE | ||
31796D | 048 | 1.0-6.0 | Lecture | TBA | TBA | 1 of 10 | Sheldon Ross | OFFICE | ||
31797D | 048 | 1.0-5.0 | Lecture | TBA | TBA | 1 of 1 | Phebe Vayanos | 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 |
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31791D | 048 | Lecture | TBA | TBA | 0 of 10 | OFFICE |