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Industrial and Systems Engineering (ISE)
- https://ise.usc.edu
- D class assignments available; URL: https://ise.usc.edu/current-students/.
- D class assignments for undergraduates available in GER-247; Phone: (213) 740-4893.
- D class assignments for undergraduates and on-campus graduate students available online or by phone call.
Methods, processes and tools for managing projects to create engineered systems. Project management; engineering economics; risk management. Industry-drawn large-scale engineering case studies. Team project presentations.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31515R | 902 | Lecture | 3:00-7:10pm | Tue, Thu | 11 of 30 | Yalda Khashe | OHE100B | ||
31715D | 910 | Lecture | 3:00-7:10pm | Tue, Thu | 26 of 30 | Yalda Khashe | DEN@Viterbi |
Supervised learning. Linear regression, cross validation, ridge and lasso regression, logistic regression, k-nearest-neighbors, decision trees, random forest and gradient-boosting models, support vector machines, neural networks.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31529R | 901 | Lecture | 10:00-2:10pm | Tue, Thu | 23 of 40 | Hamid Chabok | GFS207 | PDF (264466 KB) |
Fundamentals of Linear Programming, Integer Programming, quadratic and nonlinear programming for analytics and data science problems.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31530R | 901 | Lecture | 3:30-7:40pm | Mon, Wed | 10 of 40 | Maryam Pishgar | KAP144 |
Consulting project concepts, frameworks, analytical tools and managerial skills with a focus on the use of data analytics, design thinking and insight-driven frameworks.
- Prerequisite: ISE 529
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31734R | 901 | Lecture | 10:00-2:10pm | Mon, Wed | 17 of 40 | Maryam Pishgar | KAP146 |
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 |
---|---|---|---|---|---|---|---|---|---|
31504R | 902 | Lecture | 10:00-2:10pm | Tue, Thu | 5 of 30 | Yalda Khashe | OHE100B | ||
31704D | 910 | Lecture | 10:00-2:10pm | Tue, Thu | 18 of 25 | Yalda Khashe | DEN@Viterbi |
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 |
---|---|---|---|---|---|---|---|---|---|
29928R | 902 | Lecture | 3:00-5:50pm | MWTh | 96 of 120 | Shahriar Shamsian | OHE122 | ||
29929R | 902 | Discussion | TBA | TBA | 96 of 120 | OFFICE | |||
29930R | 902 | Quiz | TBA | TBA | 96 of 120 | OFFICE | |||
29931D | 910 | Lecture | 3:00-5:50pm | MWTh | 31 of 40 | Shahriar Shamsian | DEN@Viterbi | ||
29932R | 910 | Discussion | TBA | TBA | 31 of 40 | DEN@Viterbi | |||
29933R | 910 | Quiz | TBA | TBA | 31 of 40 | DEN@Viterbi | |||
29970R | 902 | Lecture | 3:00-5:50pm | MWTh | 17 of 100 | Shahriar Shamsian | SLH200 | ||
29971R | 902 | Discussion | TBA | TBA | 17 of 100 | OFFICE | |||
29972R | 902 | Quiz | TBA | TBA | 17 of 100 | OFFICE |
Concepts underlying the economic analysis of engineering projects; applications to call and put options; utility theory and mathematical optimizations models; simulation.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31565R | 908 | Lecture | 7:00-8:50pm | Mon, Wed | 10 of 30 | Gordon Delianedis | OHE100D | ||
31765D | 913 | Lecture | 7:00-8:50pm | Mon, Wed | 3 of 10 | 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 |
---|---|---|---|---|---|---|---|---|---|
29922R | 901 | Lecture | 1:30-4:20pm | TuWTh | 30 of 40 | Victor Adamchik | RTH109 | ||
29923R | 901 | Discussion | TBA | TBA | 30 of 40 | OFFICE | |||
29924R | 901 | Quiz | TBA | TBA | 30 of 40 | OFFICE | |||
29925D | 909 | Lecture | 1:30-4:20pm | TuWTh | 8 of 30 | Victor Adamchik | DEN@Viterbi | ||
29926R | 909 | Discussion | TBA | TBA | 8 of 30 | DEN@Viterbi | |||
29927R | 909 | Quiz | TBA | TBA | 8 of 30 | DEN@Viterbi |
The role enterprise resource planning systems (ERPs) play in organization; integrating and coordinating the many business processes such as demand planning, procurement, production and sales.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
31583R | 901 | Lecture | 9:00-10:50am | MWF | 15 of 30 | Nitin Kale | OHE100B | Word (291840 KB) | |
31783D | 909 | Lecture | 9:00-10:50am | MWF | 6 of 10 | Nitin Kale | DEN@Viterbi |
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 | 908 | 1.0-5.0 | Lecture | TBA | TBA | 2 of 5 | Paul Lu | OFFICE | ||
31594D | 908 | 1.0-4.0 | Lecture | TBA | TBA | 1 of 10 | David Belson | 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 |
---|---|---|---|---|---|---|---|---|---|---|
Introduction to Blockchain Systems | ||||||||||
31519R | 908 | 4.0 | Lecture | 1:00-2:50pm | Mon, Wed | 7 of 30 | Ragheb Raad | KAP148 | PDF (341410 KB) |
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 | 908 | 1.0-6.0 | Lecture | TBA | TBA | 1 of 5 | Maged Dessouky | OFFICE | ||
31702D | 908 | 1.0-6.0 | Lecture | TBA | TBA | 0 of 5 | Ali Abbas | OFFICE | ||
31703D | 908 | 1.0-6.0 | Lecture | TBA | TBA | 1 of 5 | Randolph Hall | OFFICE | ||
31706D | 908 | 1.0-4.0 | Lecture | TBA | TBA | 1 of 2 | Giacomo Nannicini | OFFICE | ||
31707D | 902 | 1.0-5.0 | Lecture | TBA | TBA | 1 of 2 | Satish Thittamaranahalli Ka | 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 | 908 | Lecture | TBA | TBA | 1 of 5 | OFFICE |