Select a calendar:
Filter February Events by Event Type:
Events for the 4th week of February
-
Meet USC: Admission Presentation, Campus Tour, and Engineering Talk
Mon, Feb 18, 2019
Viterbi School of Engineering Undergraduate Admission
Workshops & Infosessions
This half day program is designed for prospective freshmen (HS juniors and younger) and family members. Meet USC includes an information session on the University and the Admission process, a student led walking tour of campus, and a meeting with us in the Viterbi School. During the engineering session we will discuss the curriculum, research opportunities, hands-on projects, entrepreneurial support programs, and other aspects of the engineering school. Meet USC is designed to answer all of your questions about USC, the application process, and financial aid.
Reservations are required for Meet USC. This program occurs twice, once at 8:30 a.m. and again at 12:30 p.m.
Please make sure to check availability and register online for the session you wish to attend. Also, remember to list an Engineering major as your "intended major" on the webform!
RSVPLocation: Ronald Tutor Campus Center (TCC) - USC Admission Office
Audiences: Everyone Is Invited
Contact: Viterbi Admission
-
CS Colloquium: Jason Lee (USC, Data Sciences and Operations)On the Foundations of Deep Learning: SGD, Overparametrization, and Generalization
Tue, Feb 19, 2019 @ 11:00 AM - 12:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Jason Lee, USC, Data Sciences and Operations
Talk Title: On the Foundations of Deep Learning: SGD, Overparametrization, and Generalization
Series: CS Colloquium
Abstract: We provide new results on the effectiveness of SGD and overparametrization in deep learning.
a) SGD: We show that SGD converges to stationary points for general nonsmooth , nonconvex functions, and that stochastic subgradients can be efficiently computed via Automatic Differentiation. For smooth functions, we show that gradient descent, coordinate descent, ADMM, and many other algorithms, avoid saddle points and converge to local minimizers. For a large family of problems including matrix completion and shallow ReLU networks, this guarantees that gradient descent converges to a global minimum.
b) Overparametrization: We show that gradient descent finds global minimizers of the training loss of overparametrized deep networks in polynomial time.
c) Generalization:
For general neural networks, we establish a margin-based theory. The minimizer of the cross-entropy loss with weak regularization is a max-margin predictor, and enjoys stronger generalization guarantees as the amount of overparametrization increases.
d) Algorithmic and Implicit Regularization: We analyze the implicit regularization effects of various optimization algorithms on overparametrized networks. In particular we prove that for least squares with mirror descent, the algorithm converges to the closest solution in terms of the bregman divergence. For linearly separable classification problems, we prove that the steepest descent with respect to a norm solves SVM with respect to the same norm. For over-parametrized non-convex problems such as matrix sensing or neural net with quadratic activation, we prove that gradient descent converges to the minimum nuclear norm solution, which allows for both meaningful optimization and generalization guarantees
This lecture satisfies requirements for CSCI 591: Research Colloquium
Biography: Jason Lee is an assistant professor in Data Sciences and Operations at the University of Southern California. Prior to that, he was a postdoctoral researcher at UC Berkeley working with Michael Jordan. Jason received his PhD at Stanford University advised by Trevor Hastie and Jonathan Taylor. His research interests are in statistics, machine learning, and optimization. Lately, he has worked on high dimensional statistical inference, analysis of non-convex optimization algorithms, and theory for deep learning.
Host: Yan Liu
Location: Olin Hall of Engineering (OHE) - 132
Audiences: Everyone Is Invited
Contact: Assistant to CS chair
-
PhD Defense - Katelyn Swift-Spong
Tue, Feb 19, 2019 @ 01:30 PM - 03:30 PM
Thomas Lord Department of Computer Science
University Calendar
Title: Towards Socially Assistive Robot Support Methods for Physical Activity Behavior Change
PhD Candidate: Katelyn Swift-Spong
Date, Time, and Location: Tuesday, February 19, 2019 at 1:30pm in RTH 406
Committee: Prof. Maja MatariÄ (chair), Prof. Stefanos Nikolaidis, and Prof. Elizabeth Zelinski
Abstract:
Socially Assistive Robot (SAR) systems have the potential to support the complex process of human behavior change by providing social support such as feedback and encouragement at opportune times. This dissertation presents a framework for SAR behavior change support in the context of physical activity behavior. This framework is designed around the goal of creating lasting behavior change that extends past the SAR interaction. Within this framework, the robot is equipped with one or more SAR physical activity behavior change support methods designed to affect a specific mechanism of behavior change.
This dissertation develops the design of SAR feedback, backstory, and messaging support methods for physical activity behavior change. These three methods were each designed to support a different mechanism of achieving behavior change by leveraging the robot's relational and support capabilities. Feedback was designed to support a user's beliefs about their ability to perform a physical activity task. Robot backstory was designed to increase the robot's ability to provide social support, and messaging was designed to increase the user's positive feelings towards the physical activity. These three support methods are evaluated in real-world physical activity domains with a fully autonomous SAR system. The feedback support method is evaluated in the domain of post-stroke rehabilitation, and the backstory and messaging support methods are evaluated in the domain of adolescent exercise.
Reminder and social reward decision making is also developed as a SAR physical activity behavior change support method using a model of SAR habit formation support. This model formalizes the SAR sequential decision making task of determining when to give reminders and social rewards towards the goal of supporting the formation of a new desired habit. Habits are formed when the occurrence of a cue is followed by a desired behavior, and that combination is reinforced repeatedly over time. The model of habit formation support enables a robot to intervene in this process. This model is evaluated in the domain of reducing older adult sedentary behavior through a two-week in-home SAR intervention. The robot was able to generate a high level of reminder adherence in this setting.
In this work, four SAR physical activity behavior change support methods were developed and evaluated in three different physical activity domains with fully autonomous SAR systems. This dissertation contributes to understanding the methods a robot could use to support behavior change in a variety of physical activity domains both in situ within the context of the behavior in everyday life and outside of that context.
Location: Ronald Tutor Hall of Engineering (RTH) - 406
Audiences: Everyone Is Invited
Contact: Lizsl De Leon
-
E-Week Kick-Off Carnival (E-week is Sponsored by Boeing and Northrop Grumman)
Tue, Feb 19, 2019 @ 03:00 PM - 06:00 PM
Viterbi School of Engineering Student Affairs, Viterbi School of Engineering Student Organizations
Student Activity
Location: Daniel J. Epstein Family Plaza (E-Quad)
Audiences: Everyone Is Invited
Contact: Monica De Los Santos
-
Epstein Institute Seminar - ISE 651
Tue, Feb 19, 2019 @ 03:30 PM - 04:50 PM
Daniel J. Epstein Department of Industrial and Systems Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Javad Lavaei , Associate Professor, University of California, Berkeley
Talk Title: TBD
Host: Dr. Meisam Razaviyayn
Location: Ethel Percy Andrus Gerontology Center (GER) - 206
Audiences: Everyone Is Invited
Contact: Grace Owh
-
Interviews Open Forum
Tue, Feb 19, 2019 @ 04:00 PM - 05:00 PM
Viterbi School of Engineering Career Connections
Workshops & Infosessions
Increase your career and internship knowledge for interviews by attending this professional development Q&A moderated by Viterbi Career Connections staff or Viterbi employer partners.
For more information about Labs & Open Forums, please visit viterbicareers.usc.edu/workshops.
Location: Ronald Tutor Hall of Engineering (RTH) - 211
Audiences: All Viterbi Students
Contact: RTH 218 Viterbi Career Connections
-
Viterbi Quiz Bowl
Tue, Feb 19, 2019 @ 06:30 PM - 08:30 PM
Viterbi School of Engineering Student Affairs, Viterbi School of Engineering Student Organizations
Student Activity
E-Week Quiz Bowl competition. Sponsored by Klein Institute for Undergraduate Engineering Life(KIUEL).
Location: TBA
Audiences: Everyone Is Invited
Contact: Monica De Los Santos
-
Meet USC: Admission Presentation, Campus Tour, and Engineering Talk
Wed, Feb 20, 2019
Viterbi School of Engineering Undergraduate Admission
Workshops & Infosessions
This half day program is designed for prospective freshmen (HS juniors and younger) and family members. Meet USC includes an information session on the University and the Admission process, a student led walking tour of campus, and a meeting with us in the Viterbi School. During the engineering session we will discuss the curriculum, research opportunities, hands-on projects, entrepreneurial support programs, and other aspects of the engineering school. Meet USC is designed to answer all of your questions about USC, the application process, and financial aid.
Reservations are required for Meet USC. This program occurs twice, once at 8:30 a.m. and again at 12:30 p.m.
Please make sure to check availability and register online for the session you wish to attend. Also, remember to list an Engineering major as your "intended major" on the webform!
RSVPLocation: Ronald Tutor Campus Center (TCC) - USC Admission Office
Audiences: Everyone Is Invited
Contact: Viterbi Admission
-
AME Seminar
Wed, Feb 20, 2019 @ 11:00 AM - 12:00 PM
Aerospace and Mechanical Engineering
Conferences, Lectures, & Seminars
Speaker: Kazuhiro Saitou, University of Michigan
Talk Title: Manufacturability-Driven, Multi-Component Topology Optimization (MTO) for Top-Down Design of Structural Assemblies
Abstract: This talk presents a manufacturability-driven, multi-component topology optimization (MTO) framework for simultaneous design and partitioning of structures assembled of multiple components. Constraints on component geometry imposed by chosen manufacturing processes are incorporated in the conventional density-based topology optimization, with additional design variables specifying fractional component membership which enables continuous relaxation of otherwise discrete partitioning problems. The geometric constraints imposed by various manufacturing processes, such as size, perimeter length, undercut, and enclosed cavities, are also relaxed to enable the manufacturability evaluation of gray geometries that occur during the density-based topology optimization. Examples on minimum compliance structural assembly design for sheet metal stamping (MTO-S), die casting (MTO-D), additive manufacturing (MTO-A), and tailored-fiber composite process (MTO-C) show promising advantages over the conventional monolithic topology optimization. In particular, manufacturing constraints previously applied to monolithic topology optimization gain new interpretations when applied to multi-component assemblies, which can unlock richer design space for topology exploration. The talk will conclude with a brief overview of the latest developments on the MTO framework for continuous fiber printing processes and for 4D printing processes.
Host: AME Department
More Info: https://ame.usc.edu/seminars/
Location: 150
Audiences: Everyone Is Invited
Contact: Tessa Yao
Event Link: https://ame.usc.edu/seminars/
-
Astani Civil and Environmental Engineering Seminar
Wed, Feb 20, 2019 @ 11:30 AM - 12:30 PM
Sonny Astani Department of Civil and Environmental Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Jonathan Hopkins, University of California, Los Angeles
Talk Title: Enabling Engineered Properties via Architected Materials
Abstract: See attachment
More Information: Seminar _Jonathan Hopkins.pdf
Location: Kaprielian Hall (KAP) - 209
Audiences: Everyone Is Invited
Contact: Evangeline Reyes
-
Interviews Open Forum
Wed, Feb 20, 2019 @ 01:00 PM - 02:00 PM
Viterbi School of Engineering Career Connections
Workshops & Infosessions
Increase your career and internship knowledge for interviews by attending this professional development Q&A moderated by Viterbi Career Connections staff or Viterbi employer partners.
For more information about Labs & Open Forums, please visit viterbicareers.usc.edu/workshops.
Location: Ronald Tutor Hall of Engineering (RTH) - 211
Audiences: All Viterbi Students
Contact: RTH 218 Viterbi Career Connections
-
Intramurals: Bubble Soccer
Wed, Feb 20, 2019 @ 03:00 PM - 06:00 PM
Viterbi School of Engineering Student Affairs, Viterbi School of Engineering Student Organizations
Student Activity
Location: Daniel J. Epstein Family Plaza (E-Quad)
Audiences: Everyone Is Invited
Contact: Monica De Los Santos
-
Center for Cyber-Physical Systems and Internet of Things and Ming Hsieh Institute Seminar Series
Wed, Feb 20, 2019 @ 03:00 PM - 04:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Farshad Lahouti, California Institute of Technology
Talk Title: Learning from Oracle or Crowd: Budget fidelity trade-offs and query design strategies
Series: Center for Cyber-Physical Systems and Internet of Things
Abstract: Design of many machine learning systems rely on well-curated datasets. Developing such datasets is an expensive and time-consuming process. Digital crowdsourcing (CS) is a modern approach to infer this from small contributions of a large and potentially non-expert crowd. In this talk, the CS problem, as a human-in-the-loop computation problem, is modeled and analyzed in an information theoretic rate-distortion framework. The purpose is to identify the ultimate fidelity that one can achieve by any form of query from the crowd and any inference algorithm with a given budget. This in turn motivates the design of coded query schemes. Strategies are presented for efficient and reliable query design in presence of a crowd or an oracle. The query rate performance and speed of learning are analyzed and the role of pricing is investigated. Joint work with Victoria Kostina and Babak Hassibi.
Biography: Farshad Lahouti received the Ph.D. degree in electrical engineering from the University of Waterloo, Canada, in 2002. In 2005, he joined the faculty of the School of Electrical and Computer Engineering, University of Tehran, where he founded the Center for Wireless Multimedia Communications. Dr Lahouti received the distinguished scientist award from Iran National Academy of Sciences in 2014. He joined the electrical engineering department at Caltech as a visiting faculty in 2013, where he initiated the digital ventures design program. He is also the co-founder and the scientific lead of cntxts Inc inventing the next generation ultra energy efficient IoT technology and its digital AI contexts. His current research interests are coding and information theory, and statistical signal processing with applications to machine learning, wireless networks and biological and neuronal networks. Information on his recent works can be found here: http://www.its.caltech.edu/~lahouti
Host: Salman Avestimehr
Location: Hughes Aircraft Electrical Engineering Center (EEB) - EEB 132
Audiences: Everyone Is Invited
Contact: Talyia White
-
AI, Biometrics and Computer Vision @ VISTA
Wed, Feb 20, 2019 @ 03:15 PM - 04:15 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Wael AbdAlmageed, USC-ISI
Talk Title: AI, Biometrics and Computer Vision @ VISTA
Abstract: In this talk, I will describe various ongoing research activities at computer vision group at USC Information Sciences Institute that span core machine learning and artificial intelligence, biometrics, image integrity assessment and fake news detection. In terms of core machine learning, I will present a novel representation (i.e. feature) learning framework for neural networks, called unsupervised adversarial invariance, which learns a split representation of data through competitive learning between a classification task and a reconstruction task coupled with information disentanglement, without needing any labeled information about confounding factors or domain knowledge. Second, in biometrics, I will present the design of a novel biometrics sensor suite that provides rich data for presentation attack detection (i.e. anti-spoofing) for face, iris and fingerprint biometrics. I will also present a deep neural network approach for presentation attack detection using limited amounts of data obtained from the new sensor suite. Finally, I will present two new approaches for assessing the integrity of multimedia assets. The first approach is called BusterNet, in which I will describe a novel convolutional neural network architecture for detection and localization of copy-move image forgeries. The second approach uses joint multimodal embedding to assess the integrity of multimedia packages undergoing semantic manipulations. I will conclude my talk with directions and plans for future research.
Biography: Dr. Wael AbdAlmageed is a Research Team Leader and Supervising Computer Scientist at the USC Information Sciences Institute (USC ISI). He is the Co-Director of the Center for Video, Image, Speech and Text Analytics (VISTA). He is an expert in computer vision, biometrics and machine learning. His research focus is on developing and applying artificial intelligence techniques to vision, bioinformatics and data analytics problems. His research interests also include mapping machine learning and computer vision algorithms to modern high performance computing platforms. Prior to joining ISI, from 2004 to 2013, Dr. AbdAlmageed was a research scientist with the University of Maryland at College Park, where he led research and development efforts for various DARPA, IARPA and ARL programs, such as VIVID, VIRAT, PerSeas and VACE. He obtained his Ph.D. with Distinction from the University of New Mexico in 2003 where he was also awarded the Outstanding Graduate Student award. He has two patents and over 65 publications in top machine learning, computer vision and high performance computing conferences and journals. Dr. AbdAlmageed is the PI for ISI's effort on IARPA Odin, and DARPA MediFor.
Host: Profs Richard Leahy & Shrikanth Narayanan
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Mayumi Thrasher
-
CAIS Seminar: Kristina Lerman (USC) - Friendship Paradox and Information Bias in Networks
Wed, Feb 20, 2019 @ 04:00 PM - 05:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Dr. Kristina Lerman, University of Southern California Information Sciences Institute
Talk Title: Friendship Paradox and Information Bias in Networks
Series: USC Center for Artificial Intelligence in Society (CAIS) Seminar Series
Abstract: Individuals' decisions, from what product to buy to who to vote for, often depend on what others are doing. People, however, rarely have global information about others, but must estimate it from the local observations they make of their friends. Dr. Lerman discusses the counter-intuitive phenomena by which the structure of social networks significantly distorts the observations people make of their friends. The effects include the "friendship paradox," which states that your friends have more friends than you do, on average, and its many more surprising generalizations. As a result of these paradoxes, a trait that is globally rare may be dramatically over-represented in the local neighborhoods of many people. Friendship paradoxes may lead individuals to systematically overestimate the prevalence of a minority opinion or behavior, and may accelerate the spread of social contagions and adoption of social norms.
This lecture satisfies requirements for CSCI 591: Research Colloquium.
Biography: Kristina Lerman is a Principal Scientist at the University of Southern California Information Sciences Institute and holds a joint appointment as a Research Associate Professor in the department of Computer Science at the USC Viterbi School of Engineering. Trained as a physicist, she now applies network analysis and machine learning to problems in computational social science, including crowdsourcing, social network and social media analysis. Her recent work on modeling and understanding cognitive biases in social networks has been covered by the Washington Post, Wall Street Journal, and MIT Tech Review.
Host: Milind Tambe
Location: James H. Zumberge Hall Of Science (ZHS) - 252
Audiences: Everyone Is Invited
Contact: Computer Science Department
-
ASBME Info Session: Amgen
Wed, Feb 20, 2019 @ 07:00 PM - 08:00 PM
Viterbi School of Engineering Student Organizations
Student Activity
Interested in working for one of the world's leading biotechnology companies? Come to this info session to learn about Amgen, a values-based company deeply rooted in science and innovation to transform new ideas and discoveries into medicines for patients with serious illnesses.
Location: Ronald Tutor Campus Center (TCC) - 227
Audiences: Everyone Is Invited
-
Introduce a Girl to Engineering (Sponsored by Boeing and Women in Engineering)
Thu, Feb 21, 2019 @ 09:00 AM - 02:00 PM
Viterbi School of Engineering Student Affairs, Viterbi School of Engineering Student Organizations
Student Activity
With special sponsor Boeing, the Women in Engineering student board and various Viterbi student organizations bring together local middle school girls for a day of exploring STEM education and connecting with current USC students.
Location: Daniel J. Epstein Family Plaza (E-Quad)
Audiences: Everyone Is Invited
Contact: Monica De Los Santos
-
Individual Grammar Tutorials
Thu, Feb 21, 2019 @ 11:00 AM - 12:00 PM
Viterbi School of Engineering Student Affairs
Workshops & Infosessions
Viterbi graduate and undergraduate students are invited to sign up for individual grammar assistance from professors at the Engineering Writing Program. Sign up for one-on-one individual sessions here: http://bit.ly/grammaratUSC
Questions? Email helenhch@usc.edu
Location: Olin Hall of Engineering (OHE) - 106
Audiences: Graduate and Undergraduate Students
Contact: Helen Choi
-
CS Colloquium: Marco Gaboardi (University at Buffalo, SUNY) Differential Privacy: Formal Verification and Applications
Thu, Feb 21, 2019 @ 11:00 AM - 12:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Marco Gaboardi, University at Buffalo, SUNY
Talk Title: Differential Privacy: Formal Verification and Applications
Series: CS Colloquium
Abstract: A vast amount of individuals' data is collected, stored and accessed every day. These data are valuable for scientific and medical research, for decision making, etc. However, use or release of these data may be restricted by concerns for the privacy of the individuals contributing them.
Differential Privacy has been conceived to offer ways to answer statistical queries about sensitive data while providing strong provable privacy guarantees ensuring that the presence or absence of a single individual in the data has a negligible statistical effect on the query's result. In this talk I will present some formal verification techniques we developed to help programmers to certify their programs differentially private and to guarantee that their programs provide accurate answers. These techniques combine approaches based on type systems and program logics with ideas for reasoning about differential privacy using composition, sensitivity and probabilistic coupling. This combination permits fine-grained formal analyses of several basic mechanisms that are fundamental for designing practical differential privacy applications. In addition, I will present some of our results showing how to answer a large number of queries on high dimensional datasets preserving privacy, and how to perform differentially private chi-squared hypothesis testing with the same asymptotic guarantees as the traditional tests.
This lecture satisfies requirements for CSCI 591: Research Colloquium
Biography: Marco Gaboardi is an assistant professor at the University at Buffalo, SUNY, and a visiting scholar at the Simons Institute for the Theory of Computing. Prior to joining Buffalo, he was an assistant professor at the University of Dundee, Scotland. Marco received his PhD from the University of Torino, Italy, and the Institute National Polytechnique de Lorraine, France. He has been a visitor scholar at the University of Pennsylvania and at Harvard's CRCS center, and a recipient of a EU Marie Curie Fellowship. Marco's research is in programming languages, formal verification, and in differential privacy.
Host: Jyotirmoy Deshmukh
Location: Olin Hall of Engineering (OHE) - 132
Audiences: Everyone Is Invited
Contact: Assistant to CS chair
-
Interviews Open Forum
Thu, Feb 21, 2019 @ 01:00 PM - 02:00 PM
Viterbi School of Engineering Career Connections
Workshops & Infosessions
Increase your career and internship knowledge for interviews by attending this professional development Q&A moderated by Viterbi Career Connections staff or Viterbi employer partners.
For more information about Labs & Open Forums, please visit viterbicareers.usc.edu/workshops.
Location: Ronald Tutor Hall of Engineering (RTH) - 211
Audiences: All Viterbi Students
Contact: RTH 218 Viterbi Career Connections
-
Meet USC: Admission Presentation, Campus Tour, and Engineering Talk
Fri, Feb 22, 2019
Viterbi School of Engineering Undergraduate Admission
Workshops & Infosessions
This half day program is designed for prospective freshmen (HS juniors and younger) and family members. Meet USC includes an information session on the University and the Admission process, a student led walking tour of campus, and a meeting with us in the Viterbi School. During the engineering session we will discuss the curriculum, research opportunities, hands-on projects, entrepreneurial support programs, and other aspects of the engineering school. Meet USC is designed to answer all of your questions about USC, the application process, and financial aid.
Reservations are required for Meet USC. This program occurs twice, once at 8:30 a.m. and again at 12:30 p.m.
Please make sure to check availability and register online for the session you wish to attend. Also, remember to list an Engineering major as your "intended major" on the webform!
RSVPLocation: Ronald Tutor Campus Center (TCC) - USC Admission Office
Audiences: Everyone Is Invited
Contact: Viterbi Admission
-
Discover Engineering Day (Sponsored by SHPE)
Fri, Feb 22, 2019 @ 09:00 AM - 02:00 PM
Viterbi School of Engineering Student Affairs, Viterbi School of Engineering Student Organizations
Student Activity
Location: Daniel J. Epstein Family Plaza (E-Quad)
Audiences: Everyone Is Invited
Contact: Monica De Los Santos
-
Individual Grammar Tutorials
Fri, Feb 22, 2019 @ 10:30 AM - 12:00 PM
Viterbi School of Engineering Student Affairs
Workshops & Infosessions
Viterbi graduate and undergraduate students are invited to sign up for individual grammar assistance from professors at the Engineering Writing Program. Sign up for one-on-one individual sessions here: http://bit.ly/grammaratUSC
Questions? Email helenhch@usc.eduLocation: Olin Hall of Engineering (OHE) - 106
Audiences: Graduate and Undergraduate Students
Contact: Helen Choi
-
W.V.T. RUSCH ENGINEERING HONORS COLLOQUIUM
Fri, Feb 22, 2019 @ 01:00 PM - 01:50 PM
USC Viterbi School of Engineering
Conferences, Lectures, & Seminars
Speaker: Mr. Mark Kasprzak, Chief Industrial Engineer, The Boeing Company
Talk Title: Engineering & Advanced Manufacturing
Host: EHP and Dr. Prata
Location: Henry Salvatori Computer Science Center (SAL) - 101
Audiences: Everyone Is Invited
Contact: Amanda McCraven
-
Viterbi Talent Show (Sponsored by Northrop Grumman)
Fri, Feb 22, 2019 @ 07:00 PM - 09:00 PM
Viterbi School of Engineering Student Affairs
Student Activity
Come support your fellow engineers as they showcase their talent at the E-Week Talent Show at Ground Zero on Friday, February 22nd from 7-8:30 pm. FREE donuts will be served!
Location: Ground Zero
Audiences: Everyone Is Invited
Contact: Monica De Los Santos
-
Essentials of Composites Manufacturing
Sat, Feb 23, 2019 @ 08:00 AM - 05:00 PM
Executive Education
Conferences, Lectures, & Seminars
Abstract: Essentials of Composites Manufacturing provides a high-level overview of manufacturing science and engineering for aerospace composite structures, focusing on prepreg and liquid molding processes, including hands-on laboratory demonstrations.
Course participants will complete a multiple-choice quiz as a knowledge assessment, available online at the end of the course. When the course and quiz have been successfully completed, participants will receive USC Continuing Education Units.
More Info: https://viterbiexeced.usc.edu/engineering-program-areas/chemical-engineering-materials-science/essentials-composites-manufacturing/
Audiences: Registered Attendees
Contact: Corporate & Professional Programs
-
Satellite Propulsion Systems
Sat, Feb 23, 2019 @ 09:00 AM - 05:00 PM
Executive Education
Conferences, Lectures, & Seminars
Abstract: The Satellite Propulsion Systems program provides an understanding of the basic principles and figures of merit of Rocket Propulsion. Upon completion of the 4-day program, participants will be able to apply these principles to spacecraft propulsion system and components Analysis-&-Design, Testing, Ground Operations, Flight Operations, and End-of-life (EOL) De-orbit.
More Info: https://viterbiexeced.usc.edu/engineering-program-areas/astronautical-engineering/satellite-propulsion-systems/
Audiences: Registered Attendees
Contact: Corporate & Professional Programs