Classes Offered · USC Schedule of Classes

Industrial and Systems Engineering (ISE)

https://ise.usc.edu
D class assignments for undergraduates available in GER-247; 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

ISE 515: Engineering Project Management (4.0 units)

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	9 of 30	Yalda Khashe	OHE100B
31715D	910	Lecture	3:00-7:10pm	Tue, Thu	22 of 25	Yalda Khashe	DEN@Viterbi

ISE 529: Predictive Analytics (4.0 units)

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	20 of 40	Hamid Chabok	GFS207	PDF (264466 KB)

ISE 530: Optimization Methods for Analytics (4.0 units)

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

ISE 534: Data Analytics Consulting (4.0 units)

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	21 of 40	Maryam Pishgar	KAP146

ISE 544: Leading and Managing Engineering Teams (4.0 units)

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	6 of 30	Yalda Khashe	OHE100B
31704D	910	Lecture	10:00-2:10pm	Tue, Thu	17 of 20	Yalda Khashe	DEN@Viterbi

Crosslist ISE 560: Analysis of Algorithms (4.0 units)

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
29928D	902	Lecture	3:00-5:50pm	MWTh	31 of 120	Shahriar Shamsian	OHE122
29929R	902	Discussion	TBA	TBA	31 of 120		OFFICE
29930R	902	Quiz	TBA	TBA	31 of 120		OFFICE
29931D	910	Lecture	3:00-5:50pm	MWTh	29 of 30	Shahriar Shamsian	DEN@Viterbi
29932R	910	Discussion	TBA	TBA	29 of 30		DEN@Viterbi
29933R	910	Quiz	TBA	TBA	29 of 30		DEN@Viterbi

ISE 563: Financial Engineering (4.0 units)

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	16 of 30	Gordon Delianedis	OHE100D
31765D	913	Lecture	7:00-8:50pm	Mon, Wed	5 of 10	Gordon Delianedis	DEN@Viterbi

Crosslist ISE 568: Machine Learning (4.0 units)

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
29922R	901	Lecture	1:30-4:20pm	TuWTh	33 of 40	Victor Adamchik	RTH109
29923R	901	Discussion	TBA	TBA	33 of 40		OFFICE
29924R	901	Quiz	TBA	TBA	33 of 40		OFFICE
29925D	909	Lecture	1:30-4:20pm	TuWTh	9 of 30	Victor Adamchik	DEN@Viterbi
29926R	909	Discussion	TBA	TBA	9 of 30		DEN@Viterbi
29927R	909	Quiz	TBA	TBA	9 of 30		DEN@Viterbi

ISE 580: Performance Analysis with Simulation (4.0 units)

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
31580R	901	Lecture	12:00-4:10pm	Mon, Wed	11 of 30	Hamid Pourmohammadi	KAP158

ISE 583: Enterprise Wide Information Systems (4.0 units)

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	13 of 30	Nitin Kale	OHE100B	Word (291840 KB)
31783D	909	Lecture	9:00-10:50am	MWF	6 of 10	Nitin Kale	DEN@Viterbi

ISE 590: Directed Research (1.0-12.0 units)

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

ISE 599: Special Topics (2.0-4.0 units, max 9)

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	8 of 30	Ragheb Raad	KAP148	PDF (341410 KB)