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CSCI | https://classes.usc.edu/term-20241/classes/CSCI/ | CSCI 572: | Information Retrieval and Web Search Engines | Examines key aspects of information retrieval as they apply to search engines; web crawling, indexing, querying and quality of results are studied. | (4.0 units) | Not available | Not available | 30210D | 5:00-8:20pm | Tuesday | Lecture | Sathyanaraya Raghavachary |
CSCI | https://classes.usc.edu/term-20241/classes/CSCI/ | CSCI 575: | Quantum Computing and Quantum Cryptography | Introduction to quantum computing and quantum cryptography; quantum Fourier sampling with applications to factoring, quantum search, quantum key distribution. | (4.0 units) | Not available | Not available | 30278D | 2:00-3:50pm | Mon, Wed | Lecture | Ming-Deh Huang |
CSCI | https://classes.usc.edu/term-20241/classes/CSCI/ | CSCI 576: | Multimedia Systems Design | End-to-end multimedia systems - content creation, compression, distribution using modern standards, DRM solutions, Digital-Cinema pipeline, multimedia classification, virtual-augmented reality, natural-language multimedia queries, multimodal media analysis, stereoscopic-holographic technologies. | (4.0 units) | Not available | Not available | 30319D | 6:00-9:20pm | Monday | Lecture | Parag Havaldar |
CSCI | https://classes.usc.edu/term-20241/classes/CSCI/ | CSCI 580: | 3-D Graphics and Rendering | Course outlines the process of creating images from 3D models. Includes transformations, shading, lighting, rastorization, texturing, and other topics. | (4.0 units) | Not available | Not available | 30390D | 2:00-3:50pm | Tue, Thu | Lecture | Sathyanaraya Raghavachary |
CSCI | https://classes.usc.edu/term-20241/classes/CSCI/ | CSCI 585: | Database Systems | Database system architecture; conceptual database models; semantic, object-oriented, logic-based, and relational databases; user and program interfaces; database system implementation; integrity, security, concurrency and recovery. Recommended preparation: Knowledge of relational databases, SQL, relational algebra and physical database design is required. Open only to graduate students. | (4.0 units) | Not available | Restriction: Registration open to the following class level(s): Master Student, Doctoral Student | 30158D | 5:00-7:20pm | Thursday | Lecture | Sathyanaraya Raghavachary |
CSCI | https://classes.usc.edu/term-20241/classes/CSCI/ | CSCI 590: | Directed Research | 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. | (1.0-12.0 units) | Not available | Not available | 30162D | TBA | TBA | Lecture | null |
CSCI | https://classes.usc.edu/term-20241/classes/CSCI/ | CSCI 591: | Computer Science Research Colloquium | Exploration and critical assessment of research activities in computer science. Course will serve as a forum for current research presentations from academia and industry. Graded CR/NC. | (1.0 units, max 2) | Not available | Not available | 30076D | 4:00-5:20pm | Tue, Thu | Lecture | null |
CSCI | https://classes.usc.edu/term-20241/classes/CSCI/ | CSCI 593: | Mathematical Foundations for System Design: Modeling, Analys | Fundamental techniques underlying the methodologies for system design, from integrated circuits to cyber-physical systems. Design flows, fundamental classes of models, and verification and synthesis techniques. | (4.0 units) | Not available | Not available | 30773R | 4:00-5:50pm | Tue, Thu | Lecture | Pierluigi Nuzzo |
CSCI | https://classes.usc.edu/term-20241/classes/CSCI/ | CSCI 594a: | Master's Thesis | Credit on acceptance of thesis. Graded IP/CR/NC. | (2.0 units) | Not available | Not available | 30168D | TBA | TBA | Lecture | null |
CSCI | https://classes.usc.edu/term-20241/classes/CSCI/ | CSCI 594b: | Master's Thesis | Credit on acceptance of thesis. Graded IP/CR/NC. | (2.0 units) | Prerequisite: CSCI 594A | Not available | 30169D | TBA | TBA | Lecture | null |
CSCI | https://classes.usc.edu/term-20241/classes/CSCI/ | CSCI 594z: | Master's Thesis | Credit on acceptance of thesis. Graded IP/CR/NC. | (0.0 units) | Prerequisite: CSCI 594B | Not available | 30170D | TBA | TBA | Lecture | null |
CSCI | https://classes.usc.edu/term-20241/classes/CSCI/ | CSCI 599: | Special Topics | Course content to be selected each semester from recent developments in computer science. | (2.0-4.0 units, max 9) | Not available | Not available | 30010D | 5:00-6:50pm | Mon, Wed | Lecture | Shahram Ghandeharizadeh |
CSCI | https://classes.usc.edu/term-20241/classes/CSCI/ | CSCI 625: | Program Synthesis and Computer-Aided Verification | Introduction to the principles and practices of software verification and program synthesis. | (4.0 units) | Not available | Not available | 30093D | 3:30-5:20pm | Mon, Wed | Lecture | Mukund Raghothaman |
CSCI | https://classes.usc.edu/term-20241/classes/CSCI/ | CSCI 641: | Computational Human-Robot Interaction | The description, comparison and evaluation of algorithms for deployed robotic systems that must deal with uncertainty due to interactions with humans. | (4.0 units) | Not available | Not available | 30203D | 8:00-9:50am | Mon, Wed | Lecture | Stefanos Nikolaidis |
CSCI | https://classes.usc.edu/term-20241/classes/CSCI/ | CSCI 644: | Natural Language Dialogue Systems | Computational models of natural language dialogue; conversational interfaces to artificial systems; dialogue system architectures and applications; Reinforcement learning of dialogue policies. | (4.0 units) | Not available | Not available | 30007D | 1:00-4:20pm | Wednesday | Lecture | Kallirroi Georgila,David Traum |
CSCI | https://classes.usc.edu/term-20241/classes/CSCI/ | CSCI 655: | Advanced Topics in Operating Systems | Advanced OS architectures; methods in design and evaluation of process management and concurrency; reliable distributed file systems; memory management, for cloud and virtualized environments. | (4.0 units) | Prerequisite: 1 from (CSCI 350 or CSCI 402) | Not available | 30233D | 2:00-3:50pm | Mon, Wed | Lecture | Harsha Madhyastha |
CSCI | https://classes.usc.edu/term-20241/classes/CSCI/ | CSCI 656: | Networked Systems in Cloud Computing | Systems and network design and protocols in cloud computing and data centers networks. | (4.0 units) | Prerequisite: 1 from (CSCI 551 or CSCI 651) | Not available | 30363D | 4:00-5:50pm | Mon, Wed | Lecture | Ramesh Govindan |
CSCI | https://classes.usc.edu/term-20241/classes/CSCI/ | CSCI 658: | Diagnosis and Design of Reliable Digital Systems | Fault models; test generation; fault simulation; self-checking and self-testing circuits; design for testability; fault tolerant design techniques; case studies; search techniques; memory testing. | (4.0 units) | Not available | Not available | 30883D | 11:00-2:50pm | Saturday | Lecture | Moe Tabar |
CSCI | https://classes.usc.edu/term-20241/classes/CSCI/ | CSCI 670: | Advanced Analysis of Algorithms | 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. | (4.0 units) | Prerequisite: CSCI 570 | Restriction: Registration open to the following class level(s): Doctoral Student | 30313D | 10:00-11:50am | Mon, Wed | Lecture | Ming-Deh Huang |
CSCI | https://classes.usc.edu/term-20241/classes/CSCI/ | CSCI 675: | Convex and Combinatorial Optimization | Topics include: Convex sets and functions; convex optimization problems; geometric and Lagrangian duality; simplex algorithm; ellipsoid algorithm and its implications; matroid theory; submodular optimization. | (4.0 units) | Prerequisite: 1 from (CSCI 570 or CSCI 670) | Not available | 30133D | 2:00-3:50pm | Mon, Wed | Lecture | Shaddin Dughmi |
CSCI | https://classes.usc.edu/term-20241/classes/CSCI/ | CSCI 697: | Seminar in Computer Science Research | Introduction of Ph.D. students to the broad range of computer science research. Two semesters registration required. Open to Computer Science doctoral students only. Graded CR/NC. Duplicates credit in former CSCI 597. | (1.0 units, max 2) | Not available | Restriction: Registration open to the following major(s): Computer Science | 30176D | 12:00-12:50pm | Monday | Lecture | null |
CSCI | https://classes.usc.edu/term-20241/classes/CSCI/ | CSCI 698: | Practicum in Teaching Computer Science | Practical principles for the long-term development of effective teaching in Computer Science. Intended for teaching assistants for classes offered by the Computer Science department. Graded CR/NC. Open only to Computer Science doctoral students. | (1.0 units, max 2) | Not available | Restriction: Registration open to the following major(s): Computer Science | 30209D | 1:00-1:50pm | Monday | Lecture | null |
CSCI | https://classes.usc.edu/term-20241/classes/CSCI/ | CSCI 699: | Special Topics | Course content to be selected each semester from recent developments in computer science. | (2.0-4.0 units, max 8) | Not available | Restriction: Registration open to the following class level(s): Doctoral Student | 29962D | 3:00-6:20pm | Monday | Lecture | Souti Chattopadhyay |
CSCI | https://classes.usc.edu/term-20241/classes/CSCI/ | CSCI 790: | Research | Research leading to the doctorate. Maximum units which may be applied to the degree to be determined by the department. Graded CR/NC. | (1.0-12.0 units) | Not available | Not available | 30208D | TBA | TBA | Lecture | null |
CSCI | https://classes.usc.edu/term-20241/classes/CSCI/ | CSCI 794a: | Doctoral Dissertation | Credit on acceptance of Dissertation. Graded CR/NC. | (2.0 units) | Not available | Restriction: Registration open to the following class level(s): Doctoral Student | 30214D | TBA | TBA | Lecture | null |
CSCI | https://classes.usc.edu/term-20241/classes/CSCI/ | CSCI 794b: | Doctoral Dissertation | Credit on acceptance of Dissertation. Graded CR/NC. | (2.0 units) | Prerequisite: CSCI 794a | Restriction: Registration open to the following class level(s): Doctoral Student | 30215D | TBA | TBA | Lecture | null |
CSCI | https://classes.usc.edu/term-20241/classes/CSCI/ | CSCI 794c: | Doctoral Dissertation | Credit on acceptance of Dissertation. Graded CR/NC. | (2.0 units) | Prerequisite: CSCI 794b | Restriction: Registration open to the following class level(s): Doctoral Student | 30216D | TBA | TBA | Lecture | null |
CSCI | https://classes.usc.edu/term-20241/classes/CSCI/ | CSCI 794d: | Doctoral Dissertation | Credit on acceptance of Dissertation. Graded CR/NC. | (2.0 units) | Prerequisite: CSCI 794c | Restriction: Registration open to the following class level(s): Doctoral Student | 30217D | TBA | TBA | Lecture | null |
CSCI | https://classes.usc.edu/term-20241/classes/CSCI/ | CSCI 794z: | Doctoral Dissertation | Credit on acceptance of Dissertation. Graded CR/NC. | (0.0 units) | Prerequisite: CSCI 794d | Restriction: Registration open to the following class level(s): Doctoral Student | 30218D | TBA | TBA | Lecture | null |
DSCI | https://classes.usc.edu/term-20241/classes/DSCI/ | DSCI 351: | Foundations of Data Management | Data modeling, data storage, indexing, relational databases, key-value/document store, NoSQL, distributed file system, parallel computation and big-data analytics. | (4.0 units) | Prerequisite: DSCI 250 and ITP 115 | Not available | 32400D | 10:00-11:50am | Mon, Wed | Lecture | Wensheng Wu |
DSCI | https://classes.usc.edu/term-20241/classes/DSCI/ | DSCI 352: | Applied Machine Learning and Data Mining | Foundational course focusing on the understanding, application and evaluation of machine learning and data mining approaches in data-intensive scenarios. | (4.0 units) | Prerequisite: DSCI 250 and MATH 208 | Not available | 32403D | 3:30-6:50pm | Thursday | Lecture | David Pynadath |
DSCI | https://classes.usc.edu/term-20241/classes/DSCI/ | DSCI 454: | Data Visualization and User Interface Design | Design of systems for data visualization; user interface design for exploring and interacting with data. | (4.0 units) | Prerequisite: DSCI 250 | Not available | 32405D | 2:00-5:20pm | Tuesday | Lecture | David Chan |
DSCI | https://classes.usc.edu/term-20241/classes/DSCI/ | DSCI 510: | Principles of Programming for Data Science | Programming in Python for retrieving, searching and analyzing data from the Web. Learning to manipulate large data sets. | (4.0 units) | Not available | Not available | 32429D | 12:00-1:50pm | Monday | Lecture | null |
DSCI | https://classes.usc.edu/term-20241/classes/DSCI/ | DSCI 525: | Trusted System Design, Analysis and Development | Analysis of computer security and why systems are not secure. Concepts and techniques applicable to the design of hardware and software for Trusted Systems. | (4.0 units) | Not available | Not available | 32408D | 2:00-5:20pm | Monday | Lecture | Tanya Ryutov |
DSCI | https://classes.usc.edu/term-20241/classes/DSCI/ | DSCI 529: | Security and Privacy | Covers societal implications of information privacy and how to design systems to best preserve privacy. Recommended preparation: general familiarity with the use of common Internet and mobile applications. | (4.0 units) | Not available | Not available | 32410D | 12:00-3:20pm | Friday | Lecture | Clifford Neuman |
DSCI | https://classes.usc.edu/term-20241/classes/DSCI/ | DSCI 531: | Fairness in Artificial Intelligence | Basic and advanced fairness concepts and methods; applications to societal data for studying fairness and bias; fairness and bias effects in learning algorithms. | (4.0 units) | Not available | Not available | 32427D | 10:00-11:50am | Mon, Wed | Lecture | null |
DSCI | https://classes.usc.edu/term-20241/classes/DSCI/ | DSCI 549: | Introduction to Computational Thinking and Data Science | Introduction to data analysis techniques and associated computing concepts for non-programmers. Topics include foundations for data analysis, visualization, parallel processing, metadata, provenance and data stewardship. Recommended preparation: mathematics and logic undergraduate courses. | (4.0 units) | Not available | Not available | 32411D | 2:00-5:20pm | Tuesday | Lecture | Ning Wang |
DSCI | https://classes.usc.edu/term-20241/classes/DSCI/ | DSCI 550: | Data Science at Scale | Fundamentals of big data informatics techniques. Data lifecycle; the data scientist; machine learning; data mining; NoSQL databases; tools for storage/processing/analytics of large data set on clusters; in-data techniques. | (4.0 units) | Not available | Not available | 32413D | 4:00-7:20pm | Thursday | Lecture | Christian Mattmann |
DSCI | https://classes.usc.edu/term-20241/classes/DSCI/ | DSCI 551: | Foundations of Data Management | Function and design of modern storage systems, including cloud; data management techniques; data modeling; network attached storage, clusters and data centers; relational databases; the map-reduce paradigm. | (4.0 units) | Not available | Not available | 32401D | 5:00-8:20pm | Wednesday | Lecture | Wensheng Wu |
DSCI | https://classes.usc.edu/term-20241/classes/DSCI/ | DSCI 552: | Machine Learning for Data Science | Practical applications of machine learning techniques to real-world problems. Uses in data mining and recommendation systems and for building adaptive user interfaces. | (4.0 units) | Not available | Not available | 32414D | 4:00-5:50pm | Tue, Thu | Lecture | Mohammad Reza Rajati |
DSCI | https://classes.usc.edu/term-20241/classes/DSCI/ | DSCI 553: | Foundations and Applications of Data Mining | Data mining and machine learning algorithms for analyzing very large data sets. Emphasis on System Building with Spark. Case studies. | (4.0 units) | Prerequisite: 1 from (DSCI 551 or CSCI 585) and 1 from (DSCI 552 or CSCI 567) | Not available | 32418D | 2:00-5:20pm | Friday | Lecture | Wei-Min Shen |
DSCI | https://classes.usc.edu/term-20241/classes/DSCI/ | DSCI 560: | Data Science Professional Practicum | Student teams working on external customer data analytic challenges; project/presentation based; real client data and implementable solutions for delivery to actual stakeholders; capstone to degree. | (4.0 units) | Not available | Not available | 32412D | 8:00-9:50am | Tue, Thu | Lecture | Young Cho |
DSCI | https://classes.usc.edu/term-20241/classes/DSCI/ | DSCI 561: | Predictive Analytics | 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. | (4.0 units) | Not available | Not available | 31546D | 12:00-1:50pm | Mon, Wed | Lecture | Maryam Pishgar |
DSCI | https://classes.usc.edu/term-20241/classes/DSCI/ | DSCI 563: | Medical Diagnostics, Therapeutics and Informatics Applications | Picture archive communication system (PACS) design and implementation; clinical PACS-based imaging informatics; telemedicine/teleradiology; image content indexing, image data mining; grid computing in large-scale imaging informatics; image-assisted diagnosis, surgery and therapy. | (4.0 units) | Not available | Not available | 29305D | 10:00-11:50am | Tue, Thu | Lecture | Brent Liu |
DSCI | https://classes.usc.edu/term-20241/classes/DSCI/ | DSCI 599: | Special Topics | Course content to be selected each semester from recent developments in Data Science. | (1.0-8.0 units, max 8) | Not available | Not available | 32449D | 12:00-1:50pm | Mon, Wed | Lecture | Alefiya Hussain |
EE | https://classes.usc.edu/term-20241/classes/EE/ | EE 109L: | Introduction to Embedded Systems | Information representations, embedded programming, digital and serial I/O, analog-to-digital conversion, and interrupt mechanisms. Elementary analog, logic and state-machine design. | (4.0 units) | Prerequisite: 1 from (EE 155 or CSCI 102) | Not available | 30999D | 2:00-3:20pm | Tue, Thu | Lecture | null |
EE | https://classes.usc.edu/term-20241/classes/EE/ | EE 202L: | Linear Circuits | Lumped circuit elements; network equations; zero-input and zerostate responses; sinusoidal steady-state analysis; impedance; resonance; network functions; power concepts; transformers; Laplace transforms. | (4.0 units) | Not available | Not available | 30426D | 10:00-11:50am | Tue, Thu | Lecture | Susan Schober |
EE | https://classes.usc.edu/term-20241/classes/EE/ | EE 250L: | Distributed Systems for the Internet of Things | Introduction to hardware, operating systems, signal processing and control, network protocols, mobile applications, databases, cloud computing, machine learning and security for the Internet of Things. | (4.0 units) | Prerequisite: EE 109 | Restriction: Registration closed to the following class level(s): Freshmen | 30441R | 4:00-5:50pm | Mon, Wed | Lecture | Bhaskar Krishnamachari |
EE | https://classes.usc.edu/term-20241/classes/EE/ | EE 301: | Linear Systems | Representation and analysis of linear time-invariant systems primarily for the continuous time case. Convolution, Fourier series and transform, Laplace transform, controls and communications applications. | (4.0 units) | Prerequisite: EE 141 and EE 202 | Not available | 30811R | 4:00-5:50pm | Mon, Wed | Lecture | Chris Kyriakakis |
EE | https://classes.usc.edu/term-20241/classes/EE/ | EE 338: | Physical Electronics | Semiconductor device characteristics and applications. Physical models of electronic conduction in solids, p-n junctions, bipolar and field effect transistors and other solid-state devices. | (4.0 units) | Prerequisite: EE 202 and 1 from (PHYS 162 or PHYS 172) | Not available | 30467R | 3:30-4:50pm | Tue, Thu | Lecture | Rehan Kapadia |
EE | https://classes.usc.edu/term-20241/classes/EE/ | EE 354L: | Introduction to Digital Circuits | Digital system design and implementation; synchronous design of datapath and control; schematic/Verilog-based design, simulation, and implementation in Field Programmable Gate Arrays; timing analysis; semester-end project. | (4.0 units) | Prerequisite: EE 109 | Not available | 30725R | 5:00-7:50pm | Friday | Quiz | null |
EE | https://classes.usc.edu/term-20241/classes/EE/ | EE 355x: | Software Design for Electrical Engineers | Object-oriented programming techniques, basic data structures, and elementary complexity analysis for the modeling, simulation, and solution of engineering problems. | (4.0 units) | Prerequisite: EE 155 | Not available | 30577D | 12:00-1:50pm | Mon, Wed | Lecture | Shahin Nazarian |
EE | https://classes.usc.edu/term-20241/classes/EE/ | EE 364: | Introduction to Probability and Statistics for Electrical Engineering and Computer Science | Introduction to concepts of randomness and uncertainty: probability, random variables, statistics. Applications to digital communications, signal processing, automatic control, computer engineering and computer science. | (4.0 units) | Prerequisite: 1 from (MATH 225 or MATH 245) | Not available | 30889D | 12:00-1:50pm | Tue, Thu | Lecture | Todd Brun |
EE | https://classes.usc.edu/term-20241/classes/EE/ | EE 415: | Introduction to MEMS | Introduction to micro-electro-opto-mechanical systems; scaling effects on material properties, fluid flows, dynamical behavior; fabrication methods; design considerations for MEMS sensors and actuators. Recommended preparation: AME 301, AME 309 and AME 310 | (3.0 units) | Not available | Not available | 28861R | 10:00-11:20am | Mon, Wed | Lecture | Hangbo Zhao |
EE | https://classes.usc.edu/term-20241/classes/EE/ | EE 434Lx: | Digital Signal Processing Design Laboratory | Experiments and design project in digital signal processing (e.g. real-time DSP, acoustics, video) including: system specification, preliminary analysis, trade-off studies, implementation, presentation. Recommended preparation: EE 469. Capstone design experience. | (4.0 units) | Prerequisite: EE 483 | Restriction: Registration open to the following class level(s): Senior | 30544R | 3:30-4:50pm | Monday | Lecture | Brandon Franzke |
EE | https://classes.usc.edu/term-20241/classes/EE/ | EE 443: | Introduction to Power Systems | Components of power systems; analysis techniques in electrical power generation transmission and utilization; and environmental and economic considerations in system operations and planning. | (4.0 units) | Prerequisite: EE 370 | Not available | 30526R | 6:00-9:40pm | Thursday | Lecture | Mohammed Beshir |
EE | https://classes.usc.edu/term-20241/classes/EE/ | EE 445L: | Introduction to Robotics | Designing, building and programming mobile robots; sensors, effectors, basic control theory, control architectures, some advanced topics, illustrations of state-of-the-art. Teamwork; final project tested in a robot contest. Junior standing or higher. Prerequisites: CSCI 103. | (4.0 units) | Prerequisite: CSCI 103 | Restriction: Registration open to the following class level(s): Junior, Senior | 30386D | 8:00-9:20am | Tue, Thu | Lecture | Erdem Biyik |
EE | https://classes.usc.edu/term-20241/classes/EE/ | EE 447Lx: | Mixed Signal Electronic Circuits | Application of solid-state electronic devices to the design of linear and mixed-signal systems. Laboratory experiments and projects involving the design of electronic hardware. Capstone design experience. | (4.0 units) | Prerequisite: EE 348 | Restriction: Registration open to the following class level(s): Senior | 30525R | TBA | TBA | Lecture-Lab | Susan Schober |
EE | https://classes.usc.edu/term-20241/classes/EE/ | EE 450: | Introduction to Computer Networks | Network architectures; layered protocols, network service interface; local, wide area, wireless networks; Internet protocols; link protocols; addressing; routing; flow control; software defined network; multimedia networks. | (4.0 units) | Not available | Restriction: Registration closed to the following class level(s): Freshmen, Sophomore | 31189R | 5:00-6:50pm | Friday | Quiz | Ali Zahid |
EE | https://classes.usc.edu/term-20241/classes/EE/ | EE 451: | Parallel and Distributed Computation | Introduction to parallel programming techniques, models and optimization strategies; Application mapping to multi-core, accelerator, GPU and cloud platforms; High Performance Computing and Data Science applications. | (4.0 units) | Prerequisite: 1 from (EE 355 or CSCI 201) | Not available | 30661R | 2:00-3:20pm | Tue, Thu | Lecture | Viktor Prasanna |
EE | https://classes.usc.edu/term-20241/classes/EE/ | EE 455x: | Introduction to Programming Systems Design | Intensive introduction to programming principles, discrete mathematics for computing, software design and software engineering concepts. Not available for credit to computer sciencemajors, graduate or undergraduate. | (4.0 units) | Not available | Not available | 30327D | 10:00-11:20am | Tue, Thu | Lecture | Claire Bono |
EE | https://classes.usc.edu/term-20241/classes/EE/ | EE 457: | Computer Systems Organization | Register Transfer level machine organization; performance; arithmetic; pipelined processors; exceptions, out-of-order and speculative execution, cache, virtual memory, multi-core multi-threaded processors, cache coherence. | (4.0 units) | Prerequisite: EE 354 | Not available | 30478R | 2:00-3:50pm | Mon, Wed | Lecture | Gandhi Puvvada |
EE | https://classes.usc.edu/term-20241/classes/EE/ | EE 459Lx: | Embedded Systems Design Laboratory | Specification, design, implementation, testing and documentation of a digital system project using embedded processors, programmable logic, analog I/O interfaces and application specific hardware. Capstone design experience. | (4.0 units) | Prerequisite: EE 354 | Restriction: Registration open to the following class level(s): Senior | 30572R | 10:00-11:50am | Tue, Thu | Lecture-Lab | Allan Weber |
EE | https://classes.usc.edu/term-20241/classes/EE/ | EE 460: | Machine Learning for Engineers | Overview of machine learning, regression and classification, clustering and dimensionality reduction, loss-functions, over/under-fitting, cross-validation, kernel machines, decision trees and neural networks. | (4.0 units) | Prerequisite: 1 from (EE 155 or BME 210 or CE 108 or CHE 305 or CSCI 103 or ISE 150 or ITP 115 or ITP 165 or ITP 168) | Not available | 31194D | 4:00-5:50pm | Mon, Wed | Lecture | Antonio Ortega |
EE | https://classes.usc.edu/term-20241/classes/EE/ | EE 467: | Introduction to Communication Systems | Analog and digital communication systems. Modulation (AM, FM) Analog and digital communication systems. (De)modulation and (de)multiplexing of AM/FM/PM, noise, digital data formats, error rates, and spectral analysis. Review of wireless, networking, and optical systems. | (3.0 units) | Prerequisite: EE 301 | Not available | 30589R | 10:00-11:50am | Mon, Wed | Lecture | Alan Willner |
EE | https://classes.usc.edu/term-20241/classes/EE/ | EE 477L: | MOS VLSI Circuit Design | Analysis and design of digital MOS VLSI circuits including area, delay and power minimization. Laboratory assignments including design, layout, extraction, simulation and automatic synthesis. | (4.0 units) | Prerequisite: 1 from (EE 338 or EE 354) | Not available | 30617D | 2:00-3:50pm | Mon, Wed | Lecture | Massoud Pedram |
EE | https://classes.usc.edu/term-20241/classes/EE/ | EE 481l: | Control Systems Laboratory | Vibration measurement and analysis; simulation, design, and experimental verification of mechanical control systems; system identification; implementation of controllers; performance evaluation via experimentation and stimulation. | (3.0 units) | Prerequisite: 1 from (AME 420 or AME 451 or EE 482) | Not available | 28819D | 9:30-10:50am | Tuesday | Lecture | Inna Abramova |
EE | https://classes.usc.edu/term-20241/classes/EE/ | EE 483: | Introduction to Digital Signal Processing | Fundamentals of digital signal processing covering: discrete time linear systems, quantization, sampling, Z-transforms, Fourier transforms, FFTs and filter design. | (4.0 units) | Prerequisite: EE 301 | Not available | 30620R | 12:00-1:50pm | Mon, Wed | Lecture | Eduardo Pavez Carvelli |
EE | https://classes.usc.edu/term-20241/classes/EE/ | EE 490x: | Directed Research | Individual research and readings. Not available for graduate credit. | (1.0-8.0 units, max 12) | Not available | Restriction: Registration open to the following class level(s): Junior, Senior | 30624D | TBA | TBA | Lecture | Bhaskar Krishnamachari,Michelle Povinelli |
EE | https://classes.usc.edu/term-20241/classes/EE/ | EE 494a: | Undergraduate Thesis | For the undergraduate degree. Credit on acceptance of thesis. IP (EE 494a) or letter grade (EE 494b). | (2.0 units) | Not available | Restriction: Registration open to the following class level(s): Senior | 31188D | TBA | TBA | Lecture | Bhaskar Krishnamachari,Michelle Povinelli |
EE | https://classes.usc.edu/term-20241/classes/EE/ | EE 494b: | Undergraduate Thesis | For the undergraduate degree. Credit on acceptance of thesis. IP (EE 494a) or letter grade (EE 494b). | (2.0 units) | Prerequisite: EE 494A | Restriction: Registration open to the following class level(s): Senior | 31182R | TBA | TBA | Lecture | Bhaskar Krishnamachari,Michelle Povinelli |
EE | https://classes.usc.edu/term-20241/classes/EE/ | EE 501: | Solid State | Atomic electronic states, molecular bonding, crystal structures, diffraction, reciprocal lattice, Brillouin zones, crystal binding, lattice vibrations, specific heat, anharmonic effects, energy bands, metals, conductivity. | (4.0 units) | Prerequisite: 1 from (EE 471 or EE 539) | Not available | 32141R | 2:00-3:50pm | Tue, Thu | Lecture | Anupam Madhukar |
EE | https://classes.usc.edu/term-20241/classes/EE/ | EE 503: | Probability for Electrical and Computer Engineers | Rigorous coverage of probability, discrete and continuous random variables, functions of multiple random variables, covariance, correlation, random sequences, Markov chains, estimation, and introduction to statistics. Duplicates credit in former EE 464 and EE 465. | (4.0 units) | Not available | Not available | 30984R | 12:00-1:50pm | Mon, Wed | Lecture | Brandon Franzke |
EE | https://classes.usc.edu/term-20241/classes/EE/ | EE 506: | Semiconductor Physics | Semiconductor bonds, crystallography, band structure assumptions, group theory, band structure results, k.p. method, quantum wells, wires and dots, superlattices, amorphous, organic semiconductors, defects, statistics, surfaces. | (4.0 units) | Not available | Not available | 30822R | 9:00-10:50am | Mon, Wed | Lecture | Tony Levi |
EE | https://classes.usc.edu/term-20241/classes/EE/ | EE 510: | Linear Algebra for Engineering | Introduction to linear algebra and matrix theory and their underlying concepts; applications to engineering problems; mathematically rigorous and foundational to other classes in communication, control, and signal processing. | (4.0 units) | Not available | Not available | 30556D | 12:00-1:50pm | Tue, Thu | Lecture | Ketan Savla |
EE | https://classes.usc.edu/term-20241/classes/EE/ | EE 512: | Stochastic Processes for Financial Engineering | Theory and applications of stochastic processes relevant to financial engineering. Stochastic processes, Brownian motion, martingales, stochastic calculus, Monte Carlo Simulations with financial application examples. | (4.0 units) | Prerequisite: EE 503 and 1 from (EE 441 or EE 510 or EE 518) | Not available | 30769D | 10:00-11:50am | Mon, Wed | Lecture | George Papavassilopoulos |
EE | https://classes.usc.edu/term-20241/classes/EE/ | EE 513: | Solid State Energy Devices | Design and operation of solar photovoltaic energy converters, thermovoltoic energy converters, thermoelectric energy converters, and solid state light emitters; their roles in renewal and conservation of energy. | (4.0 units) | Not available | Not available | 30899R | 3:00-4:50pm | Tue, Thu | Lecture | null |
EE | https://classes.usc.edu/term-20241/classes/EE/ | EE 518: | Mathematics and Tools for Financial Engineering | Students will build a mathematical background for studying Financial Engineering. Emphasis is on analysis, proofs and examples. Mathworks Financial toolbox will be introduced. | (4.0 units) | Not available | Not available | 30518D | 2:00-3:50pm | Tue, Thu | Lecture | Petros Ioannou |
EE | https://classes.usc.edu/term-20241/classes/EE/ | EE 519: | Speech Recognition and Processing for Multimedia | Speech production, acoustics, perception, synthesis, compression, recognition, transmission. Coding for speech, music, and CD-quality. Feature extraction. Echo cancellation. Audio, visual synchronization. Multimedia, Internet use. | (3.0 units) | Prerequisite: EE 483 | Not available | 30790D | 1:00-3:50pm | Friday | Lecture | null |
EE | https://classes.usc.edu/term-20241/classes/EE/ | EE 521: | Power Systems Analysis and Design | Power system planning, studies, and design; time-domain modeling and analysis of power-system networks; power flow, stability, fault, and economic dispatch analysis; symmetrical components. | (4.0 units) | Prerequisite: EE 443 | Not available | 30689R | 6:00-9:40pm | Tuesday | Lecture | Mohammed Beshir |
EE | https://classes.usc.edu/term-20241/classes/EE/ | EE 522: | Immersive Audio Signal Processing | Fundamentals of room acoustics, human perception (psychoacoustics) and digital audio signal processing algorithms to create immersive audio environments. | (4.0 units) | Not available | Not available | 30730R | 10:00-12:50pm | Friday | Lecture | Chris Kyriakakis |
EE | https://classes.usc.edu/term-20241/classes/EE/ | EE 523: | Advanced Biomedical Imaging | Advanced scientific and engineering principles of biomedical imaging including magnetic resonance, X-ray computed tomography, ultrasound and single photon and positron emission tomography. | (4.0 units) | Not available | Not available | 29295D | 12:00-1:50pm | Tue, Thu | Lecture | Brent Liu |
EE | https://classes.usc.edu/term-20241/classes/EE/ | EE 526: | Renewable Energy in Power Systems | Renewable energy sources and their integration in electrical networks. Power-flow control from highly variable resources. Cost analysis and planning. | (4.0 units) | Not available | Not available | 30854R | 6:00-9:40pm | Wednesday | Lecture | Mohammed Beshir |
EE | https://classes.usc.edu/term-20241/classes/EE/ | EE 529: | Optics | Geometrical optics, electromagnetic wave propagation, reflection and refraction at interfaces, imaging with lenses and mirrors, optics of the eye, optical instruments (microscopes/telescopes/cameras), and polarization. | (4.0 units) | Not available | Not available | 30597R | 4:00-5:50pm | Mon, Wed | Lecture | Demetri Christodoulides |
EE | https://classes.usc.edu/term-20241/classes/EE/ | EE 533: | Network Processor Design and Programming | Design, implementation, and programming of a custom multi-core RISC-V-based network processor and hardware accelerators using reconfigurable hardware in a SmartNIC in a realistic network testbed. | (4.0 units) | Prerequisite: EE 457 | Not available | 30964R | 12:30-1:50pm | Tue, Thu | Lecture | Young Cho |
EE | https://classes.usc.edu/term-20241/classes/EE/ | EE 535: | Wireless Communications | The mobile communication channel; techniques used to combat the channel; cellular communications; multiple-access techniques; example mobile communication systems. | (4.0 units) | Prerequisite: EE 503 | Not available | 30686R | 8:00-9:50am | Mon, Wed | Lecture | Andreas Molisch |
EE | https://classes.usc.edu/term-20241/classes/EE/ | EE 538: | Computing Principles for Electrical Engineers | Survey of computing principles and practice of software design: object-oriented and non object-oriented, testing, template libraries, time-space complexity, data structures, algorithms, and dynamic programming. | (2.0 units) | Not available | Not available | 31245D | 2:30-4:20pm | Friday | Lecture | Arash Saifhashemi |
EE | https://classes.usc.edu/term-20241/classes/EE/ | EE 540: | Introduction to Quantum Electronics | Fundamentals of light amplification; laser amplifiers and oscillators; atomic pumping; maser and laser systems; definitions of coherence; measurements in quantum electronics. | (4.0 units) | Not available | Not available | 30959R | 1:00-2:50pm | Wed, Fri | Lecture | Mercedeh Khajavikhan |
EE | https://classes.usc.edu/term-20241/classes/EE/ | EE 541: | A Computational Introduction to Deep Learning | Deep learning frameworks for training multilayer perceptrons, convolutional and recurrent neural networks; Python, virtual environments, linux and shell scripting, cloud computing, including GPUs and datasets. | (2.0 units) | Not available | Not available | 31249D | 3:00-4:50pm | Monday | Lecture | Brandon Franzke |
EE | https://classes.usc.edu/term-20241/classes/EE/ | EE 545: | Robotics | Fundamental skills for modeling and controlling of dynamic systems for robotic applications and graphics animations; control theory; kinematics; dynamics; sensor processing; real-time operating systems; robot labs. Recommended preparation: Basic knowledge in linear algebra (matrices and vectors), calculus, programming in C/C++ or any another language or permission of the instructor. | (4.0 units) | Not available | Not available | 30398D | 4:00-5:50pm | Mon, Wed | Lecture | Daniel Seita |
EE | https://classes.usc.edu/term-20241/classes/EE/ | EE 547: | Applied and Cloud Computing for Electrical Engineers | Introduction to cloud applications; software development and deployment within cloud platforms; interactive user-facing interfaces; API development; databases, virtualization, asynchronous execution, testing and scalability. | (2.0 units) | Prerequisite: EE 538 | Not available | 31250D | 3:30-5:20pm | Tuesday | Lecture | Brandon Franzke |
EE | https://classes.usc.edu/term-20241/classes/EE/ | EE 549: | Nanotechnology for Materials, Electronics, and Circuits | Nanotechnology for advanced nanomaterials, nanoelectronics devices, and circuits, including the rigorous treatment of electronic band structures of carbon nanotubes, graphene, and two-dimensional materials. | (4.0 units) | Not available | Not available | 30955R | 2:00-3:50pm | Tue, Thu | Lecture | Chongwu Zhou |
EE | https://classes.usc.edu/term-20241/classes/EE/ | EE 550: | Data Networks: Design and Analysis | Applications of stochastic modeling and optimization techniques to communication network design and analysis. Data link control; performance models; multi-access channels; routing and flow control. | (4.0 units) | Prerequisite: EE 503 | Not available | 30948R | 2:00-3:50pm | Tue, Thu | Lecture | Michael Neely |
EE | https://classes.usc.edu/term-20241/classes/EE/ | EE 552: | Asynchronous VLSI Design | Asynchronous channels and architectures; implementation design styles; controller synthesis; hazards, and races; Petri-nets; performance analysis, and optimization; globally asynchronous, locally synchronous design. | (4.0 units) | Prerequisite: EE 477 | Restriction: Registration open to the following class level(s): Doctoral Student, Master Student | 30702R | 10:00-11:50am | Tue, Thu | Lecture | Peter Beerel |
EE | https://classes.usc.edu/term-20241/classes/EE/ | EE 554: | Cyber-Physical Systems: A Computing Perspective | Cyber-physical systems; models of computation; programming models; compiler analysis; automatic parallelization; heterogeneous computing and memory systems; multicores; interconnect; mapping; scheduling; real-time operating systems; reliability; fault-tolerance. | (4.0 units) | Not available | Not available | 30665D | 8:00-9:50am | Mon, Wed | Lecture | Paul Bogdan |
EE | https://classes.usc.edu/term-20241/classes/EE/ | EE 557: | Computer Systems Architecture | Computer architecture from a design perspective: Pipelined processors, speculative execution, VLIW, vector processors, GPU/GPGPU, memory technology and systems, interconnection networks, shared-memory and message-passing multiprocessors, chip multiprocessors. | (4.0 units) | Prerequisite: EE 457 | Not available | 30820D | 2:00-3:50pm | Tue, Thu | Lecture | Murali Annavaram |
EE | https://classes.usc.edu/term-20241/classes/EE/ | EE 559: | Machine Learning I: Supervised Methods | Distribution-free and probabilistic methods for supervised classification and regression; learning algorithms; optimization techniques; feature-space transformations; parametric and nonparametric methods; Bayes decision theory; artificial neural networks. | (4.0 units) | Not available | Not available | 30490D | 4:00-5:50pm | Mon, Wed | Lecture | Keith Jenkins |
EE | https://classes.usc.edu/term-20241/classes/EE/ | EE 561: | Foundations of Artificial Intelligence | Foundations of symbolic intelligent systems, search, logic, knowledge representation, planning, learning. | (4.0 units) | Not available | Not available | 30071D | 3:00-4:50pm | Mon, Wed | Lecture | Laurent Itti |
EE | https://classes.usc.edu/term-20241/classes/EE/ | EE 562: | Random Processes in Engineering | Probability Axioms. Random vectors and processes, their convergence and limit theorems. Stationary processes, Markov chains, Martingales, Gaussian processes. Basic calculus of random processes. Wiener filtering. | (4.0 units) | Prerequisite: EE 503 and 1 from (EE 441 or EE 510) | Not available | 30867D | 10:00-11:50am | Mon, Wed | Lecture | Ashutosh Nayyar |
EE | https://classes.usc.edu/term-20241/classes/EE/ | EE 563: | Inference and Estimation: Theory and Algorithms | Bayesian and non-Bayesian hypothesis testing and estimation, sufficient statistics, exponential families, expectation-maximization, approximations, Kalman filtering and smoothing, recursive Bayesian tracking. | (4.0 units) | Prerequisite: EE 503 | Not available | 30587R | 9:30-10:50am | Tue, Thu | Lecture | Maryam Shanechi |
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