Classes Offered - USC Schedule of Classes

Computer Science (CSCI)

http://www.cs.usc.edu/
D class assignments available; URL: http://www.cs.usc.edu/students/d-clearance/.
Students may find information on how to request D-Clearance on our website: www.cs.usc.edu/students/d-clearance/. Only declared Computer Science students should be requesting courses via myviterbi.usc.edu. in the "D-Clearance Request Manager". To be enrolled in an off-campus course, you MUST also be enrolled in the Distance Education Network (DEN). For more information, call 213-740-4488 or go to den.usc.edu. DEN courses are indicated by a location of DEN@Viterbi. For general questions regarding CSCI courses, you may email csdept@usc.edu.

CSCI 102L: Fundamentals of Computation (2.0 units)

Fundamental concepts of algorithmic thinking as a primer to programming. Introduction to C++.

Section	Session	Type	Time	Days	Registered	Instructor	Location
29908R	001	Lecture	3:00-3:50pm	Mon, Wed	29 of 115	Mohammad Reza Rajati	THH101
30201R	001	Lecture	4:00-4:50pm	Mon, Wed	43 of 115	Mohammad Reza Rajati	THH101
30225R	001	Lab	3:00-3:50pm	Tuesday	15 of 20		ZHS360
30247R	001	Lab	5:00-5:50pm	Tuesday	5 of 20		GFS113
30248R	001	Lab	12:00-12:50pm	Tuesday	1 of 20		KAP148
30249R	001	Lab	12:00-12:50pm	Tuesday	11 of 20		DMC202
30250R	001	Lab	11:00-11:50am	Wednesday	7 of 20		WPH107
30251R	001	Lab	12:00-12:50pm	Wednesday	10 of 20		KAP165
30252R	001	Lab	1:00-1:50pm	Wednesday	5 of 20		KAP134
30253R	001	Lab	12:00-12:50pm	Wednesday	2 of 20		KAP145
30254R	001	Lab	1:00-1:50pm	Wednesday	1 of 20		KAP165
30256R	001	Lab	9:00-9:50am	Tuesday	6 of 20		THH112
30257R	001	Lab	4:00-4:50pm	Tuesday	9 of 20		KAP134
30258R	001	Lab	4:00-4:50pm	Tuesday	0 of 20		KAP145
30025R	001	Quiz	7:00-8:50pm	Wednesday	72 of 230		OFFICE

CSCI 103L: Introduction to Programming (4.0 units)

Basic datatypes, assignments, control statements (if, switch, for, while), input/output (printf, scanf, cin, cout), functions, arrays, structures, recursion, dynamic memory, file handling. Programming in C/C++.

Prerequisite: CSCI 102
Note: Students must complete CSCI 102, or pass its challenge exam, or have AP Computer Science A credit to enroll in this course.

Section	Session	Type	Time	Days	Registered	Instructor	Location
29966D	001	Lecture	8:00-9:20am	Tue, Thu	9 of 175	Mark Redekopp	SGM123
30207D	001	Lecture	2:00-3:20pm	Mon, Wed	83 of 175	Mark Redekopp	SGM124
29903R	001	Lab	2:00-3:50pm	Friday	2 of 30		SAL109
29904R	001	Lab	12:00-1:50pm	Friday	15 of 30		SAL127
30037R	001	Lab	12:00-1:50pm	Friday	9 of 30		SAL109
30042R	001	Lab	2:00-3:50pm	Friday	20 of 30		SAL126
30043R	001	Lab	2:00-3:50pm	Friday	2 of 30		SAL127
30046R	001	Lab	10:00-11:50am	Friday	13 of 30		SAL127
30054R	001	Lab	5:00-6:50pm	Friday	4 of 30		SAL109
30055R	001	Lab	10:00-11:50am	Friday	4 of 30		SAL126
30107R	001	Lab	8:00-9:50am	Friday	1 of 30		SAL109
30120R	001	Lab	4:00-5:50pm	Friday	6 of 30		SAL126
30121R	001	Lab	5:00-6:50pm	Friday	0 of 30		SAL127
30296R	001	Lab	8:00-9:50am	Friday	2 of 30		SAL126
30362R	001	Lab	10:00-11:50am	Friday	6 of 30		SAL109
30374R	001	Lab	12:00-1:50pm	Friday	8 of 30		SAL126
29900R	001	Quiz	7:00-8:50pm	Thursday	92 of 350		TBA

CSCI 104L: Data Structures and Object Oriented Design (4.0 units)

Introduces the student to standard data structures (linear structures such as linked lists, (balanced) trees, priority queues, and hashtables), using the C++ programming language.

Prerequisite: CSCI 103 and CSCI 170

Section	Session	Type	Time	Days	Registered	Instructor	Location
29905D	001	Lecture	11:00-12:20pm	Tue, Thu	144 of 150	Andrew Goodney,Carter Slocum	THH201
29989D	001	Lecture	8:00-9:20am	Tue, Thu	35 of 150	Andrew Goodney,Carter Slocum	SGM101
29912R	001	Lab	5:00-6:50pm	Wednesday	9 of 30		SAL109
29914R	001	Lab	3:00-4:50pm	Wednesday	10 of 30		SAL126
29915R	001	Lab	12:00-1:50pm	Wednesday	29 of 30		SAL126
30200R	001	Lab	3:30-5:20pm	Tuesday	26 of 30		SAL126
30238R	001	Lab	5:30-7:20pm	Tuesday	8 of 30		SAL126
30286R	001	Lab	12:00-1:50pm	Wednesday	20 of 30		SAL109
30294R	001	Lab	1:00-2:50pm	Tuesday	28 of 30		SAL126
30379R	001	Lab	2:00-3:50pm	Thursday	20 of 30		SAL127
30394R	001	Lab	2:00-3:50pm	Wednesday	29 of 30		SAL109
29972R	001	Quiz	7:00-8:50pm	Thursday	179 of 300		TBA

CSCI 170: Discrete Methods in Computer Science (4.0 units)

Sets, functions, series. Big-O notation and algorithm analysis. Propositional and first-order logic. Counting and discrete probability. Graphs and basic graph algorithms. Basic number theory.

Prerequisite: CSCI 102
Note: Students must complete CSCI 102, or pass its challenge exam, or have AP Computer Science A credit to enroll in this course.

Section	Session	Type	Time	Days	Registered	Instructor	Location
30108D	001	Lecture	12:30-1:50pm	Mon, Wed	42 of 130	Shaddin Dughmi	MRF340
30295D	001	Lecture	3:30-4:50pm	Mon, Wed	19 of 210	Shaddin Dughmi	THH201
30116R	001	Discussion	2:00-3:50pm	Friday	29 of 85		SGM101
30349R	001	Discussion	8:00-9:50am	Friday	6 of 85		GFS106
30373R	001	Discussion	10:00-11:50am	Friday	15 of 85		SLH102
30377R	001	Discussion	12:00-1:50pm	Friday	11 of 85		THH202
30343R	001	Quiz	7:00-8:50pm	Wednesday	61 of 340		TBA

CSCI 201: Principles of Software Development (4.0 units)

Object-oriented paradigm for programming-in-the-large in Java; writing sophisticated concurrent applications with animation and graphic user interfaces; using professional tools on team project. Prerequisite: CSCI 104L.

Prerequisite: CSCI 104

Section	Session	Type	Time	Days	Registered	Instructor	Location
30381R	001	Lecture	11:00-12:20pm	Tue, Thu	219 of 319	Marco Papa	THH101
29929R	001	Lab	3:30-5:20pm	Tuesday	30 of 30		SAL109
29930R	001	Lab	10:00-11:50am	Wednesday	30 of 30		SAL109
29931R	001	Lab	5:30-7:20pm	Tuesday	16 of 30		SAL109
29990R	001	Lab	8:00-9:50am	Wednesday	1 of 30		SAL126
30039R	001	Lab	12:00-1:50pm	Monday	30 of 30		SAL109
30110R	001	Lab	5:00-6:50pm	Thursday	26 of 30		SAL109
30317R	001	Lab	10:00-11:50am	Monday	8 of 30		SAL127
30318R	001	Lab	10:00-11:50am	Wednesday	18 of 30		SAL126
30380R	001	Lab	12:00-1:50pm	Wednesday	30 of 30		SAL127
30383R	001	Lab	2:00-3:50pm	Monday	30 of 30		SAL126
29981R	001	Quiz	TBA	TBA	219 of 319		OFFICE

CSCI 270: Introduction to Algorithms and Theory of Computing (4.0 units)

Algorithm analysis. Greedy algorithms, divide and conquer, dynamic programming, graph algorithms. NP-completeness and basic recursion theory and undecidability. Sorting lower bounds. Number-theory based cryptography.

Prerequisite: CSCI 104 and CSCI 170

Section	Session	Type	Time	Days	Registered	Instructor	Location
29957R	001	Lecture	9:30-10:50am	Tue, Thu	87 of 130	Aaron Cote	THH201
30009R	001	Lecture	12:30-1:50pm	Tue, Thu	130 of 130	Aaron Cote	THH101
30095R	001	Lecture	2:00-3:20pm	Tue, Thu	17 of 35	Mate Szabo	WPH106
30267R	001	Discussion	10:00-11:50am	Friday	84 of 100		SGM101
30268R	001	Discussion	12:00-1:50pm	Friday	100 of 100		GFS106
30269R	001	Discussion	2:00-3:50pm	Friday	50 of 100		THH202
30224R	001	Quiz	6:00-7:50pm	Friday	234 of 295		TBA

CSCI 299: Special Topics (1.0-8.0 units, max 8)

Selected topics in Computer Science.

Note: This is a course for NON-CS MAJORS. No credit will be awarded to CSCI, CECS, CSGA, or CSBA majors.

Section	Session	Units	Type	Time	Days	Registered	Instructor	Location
Programming Fundamentals for Computational Science
30098R	001	4.0	Lecture	8:00-9:50am	Mon, Wed	7 of 40	Carter Slocum	RTH105
Programming for Applications for Computational Science
30101R	001	4.0	Lecture	10:00-11:50am	Mon, Wed	26 of 35	Andrew Goodney	DMC151

CSCI 310: Software Engineering (4.0 units)

Introduction to the software engineering process and software lifecycle. Covers project management, requirements, architecture, design, implementation, testing, and maintenance phase activities in team based projects. Prerequisites: CSCI 201. Duplicates credit in former CSCI 377.

Prerequisite: CSCI 201

Section	Session	Type	Time	Days	Registered	Instructor	Location	Syllabus	Info
29967R	001	Lecture	10:00-11:50am	Mon, Wed	141 of 225	William Halfond	SAL101

CSCI 350: Introduction to Operating Systems (4.0 units)

Basic issues in concurrency, deadlock control, synchronization scheduling, memory management, protection and access control, inter-process communication, and structured design. Laboratory experiences with Unix-like operating system. Duplicates credit in CSCI 402.

Prerequisite: CSCI 201 and 1 from (CSCI 356 or EE 354)

Section	Session	Type	Time	Days	Registered	Instructor	Location	Syllabus	Info
29993R	001	Lecture	12:00-3:20pm	Friday	121 of 200	Tatyana Ryutov	SAL101
29965R	001	Quiz	TBA	TBA	121 of 200		OFFICE

CSCI 353: Introduction to Internetworking (4.0 units)

Global Internet: design principles, layering, protocol design/analysis.Networked applications, Internet structure/architecture,Protocols for transport/congestion control, network layer/routing,link layer/MAC. Network security. Prerequisites: CSCI 201. Recommended preparation: Familiarity with C and C++.Duplicates credit in EE 450.

Prerequisite: CSCI 201

Section	Session	Type	Time	Days	Registered	Instructor	Location
30050D	001	Lecture	12:30-1:50pm	Mon, Wed	110 of 110	William Cheng	THH102
30051R	001	Discussion	11:00-11:50am	Friday	110 of 110		THH202
30003D	001	Lecture	9:30-10:50am	Tue, Thu	84 of 90	William Cheng	WPHB27
30047R	001	Discussion	9:00-9:50am	Friday	84 of 90		ZHS159

CSCI 356: Introduction to Computer Systems (4.0 units)

Computer organization; entity abstraction and representation; program execution; code optimization; memory usage; exception handling; processing control; computer performance; hands-on work done in C and assembly.

Prerequisite: CSCI 104

Section	Session	Type	Time	Days	Registered	Instructor	Location
30160R	001	Lecture	3:30-4:50pm	Tue, Thu	100 of 100	Marco Paolieri	THH201
30234R	001	Lecture	2:00-3:20pm	Tue, Thu	21 of 100	Andrew Goodney	MHP101
30171R	001	Discussion	10:00-11:50am	Friday	51 of 70		MHP101
30172R	001	Discussion	12:00-1:50pm	Friday	30 of 70		GFS116
30173R	001	Discussion	2:00-3:50pm	Friday	40 of 70		GFS106
30391R	001	Quiz	4:00-5:50pm	Friday	121 of 200		TBA

CSCI 360: Introduction to Artificial Intelligence (4.0 units)

Concepts and algorithms underlying the understanding and construction of intelligent systems. Agents, problem solving, search, representation, reasoning, planning, machine learning. Prerequisites: CSCI 104 and CSCI 170. Duplicates credit in former CSCI 460.

Prerequisite: CSCI 104 and CSCI 170

Section	Session	Type	Time	Days	Registered	Instructor	Location	Syllabus	Info
30304R	001	Lecture	5:00-6:50pm	Mon, Wed	180 of 250	Ruishan Liu	SAL101
30280R	001	Quiz	TBA	TBA	180 of 250		OFFICE

Crosslist CSCI 368: Cross-Platform App Development (4.0 units)

Programming applications with dynamic graphical user interfaces. Topics include events, controls, resources, data bindings, styles and user experience.

Prerequisite: 1 from (ITP 265 or CSCI 103)
Crosslist: This course is offered by the ITP department but may qualify for major credit in CSCI. To register, enroll in ITP 368.
Note: D-clearance on a section indicates that there is an active waitlist of students interested in registering for this section. If you would like to join the waitlist for this course, please fill out the form here: tally.so/r/wvPrZA.

Section	Session	Type	Time	Days	Registered	Instructor	Location	Syllabus	Info
31851R	001	Lecture	6:00-9:40pm	Tuesday	43 of 60	Allen Almasi	KAP160
31852R	001	Lecture	12:00-1:50pm	Tue, Thu	14 of 40	Barrett Koster	OHE540

Crosslist CSCI 380: Video Game Programming (4.0 units)

Underlying concepts and principles required for programming video games (topics include vectors, transformations, 3-D math, geometric primitives, matrices). Prerequisite: CSCI-104 or ITP-365.

Prerequisite: 1 from (CSCI 104 or ITP 365)
Crosslist: This course is offered by the ITP department but may qualify for major credit in CSCI. To register, enroll in ITP 380.

Section	Session	Type	Time	Days	Registered	Instructor	Location	Syllabus	Info
31908R	001	Lecture-Lab	10:00-11:50am	Tue, Thu	35 of 36	Matthew Whiting	OHE540
31909R	001	Lecture-Lab	2:00-3:50pm	Tue, Thu	36 of 36	Sanjay Madhav	OHE540

CSCI 401: Capstone: Design and Construction of Large Software Systems (4.0 units, max 8)

Group project with an outside stakeholder to develop real-world software solutions to large-scale problems. Topics include software engineering, professional preparation, and recent computer science research. Duplicates credit in CSCI 477a and CSCI 477b.

Prerequisite: (CSCI 270 and CSCI 310)

Section	Session	Type	Time	Days	Registered	Instructor	Location	Syllabus	Info
29963R	001	Lecture	8:00-9:50am	Mon, Wed	118 of 120	Victor Adamchik	HAR101
30228R	001	Lecture	5:00-8:20pm	Tuesday	97 of 120	Victor Adamchik	ZHS159

CSCI 402: Operating Systems (4.0 units)

Concurrency, deadlock control, synchronization, process and thread scheduling, memory management, file systems, security and access control, communication and networking, distributed file systems, data management. Duplicates credit in CSCI 350.

Note: CSCI 402 is open only to graduate students.

Section	Session	Type	Time	Days	Registered	Instructor	Location
29945D	001	Lecture	10:00-11:20am	Mon, Wed	68 of 75	William Cheng	OHE136
30357R	001	Discussion	10:00-10:50am	Friday	68 of 75		OHE136
29946D	014	Lecture	10:00-11:20am	Mon, Wed	8 of 30	William Cheng	DEN@Viterbi
30356R	014	Discussion	10:00-10:50am	Friday	8 of 30		DEN@Viterbi

CSCI 420: Computer Graphics (4.0 units)

Computer graphics, OpenGL, 2D and 3D transformations, Bzier splines, computer animation, rendering including ray tracing, shading and lighting, artistic rendering, virtual reality, visualization.

Prerequisite: CSCI 104 and 1 from (MATH 225 or (EE 141 and MATH 126) or (EE 141 and MATH 127) or (EE 141 and MATH 129))
Restriction: Registration closed to the following class level(s): Freshmen, Sophomore
Note: Students must be in year 3 or above of their program to enroll in this course.

Section	Session	Type	Time	Days	Registered	Instructor	Location	Syllabus	Info
29979R	001	Lecture	10:00-11:50am	Mon, Wed	51 of 74	Jernej Barbic	LVL17
30078R	001	Discussion	TBA	TBA	51 of 74		OFFICE

CSCI 426: Game Prototyping (4.0 units)

Developing games or technology based on current and relevant special topics.

Section	Session	Type	Time	Days	Registered	Instructor	Location	Syllabus	Info
30014D	001	Lecture	1:00-4:20pm	Wednesday	16 of 26	Andrew Nealen	SCI206

CSCI 430: Introduction to Computer and Network Security (4.0 units)

A broad overview of security threats and defenses, security systems and functionalities, as well as current security practices. Includes homeworks and in-class exercises to provide practical experience working with such systems. Prerequisite: CSCI 201.

Prerequisite: CSCI 201

Section	Session	Type	Time	Days	Registered	Instructor	Location	Syllabus	Info
30123R	001	Lecture	4:00-5:50pm	Mon, Wed	64 of 64	Jelena Mirkovic	SOSB4

Crosslist CSCI 435: Professional C++ (4.0 units)

Applications of advanced concepts in C++ including lambda expressions, templates, secure coding, parallel programming, writing performant code, CMake and continuous integration.

Prerequisite: 1 from (CSCI 104 or ITP 365)
Crosslist: This course is offered by the ITP department but may qualify for major credit in CSCI. To register, enroll in ITP 435.
Note: D-clearance on a section indicates that there is an active waitlist of students interested in registering for this section. If you would like to join the waitlist for this course, please fill out the form here: tally.so/r/wvPrZA.

Section	Session	Type	Time	Days	Registered	Instructor	Location	Syllabus	Info
31826R	001	Lecture	2:00-3:50pm	Mon, Wed	60 of 60	Sanjay Madhav	KAP160

Crosslist CSCI 450: Introduction to Computer Networks (4.0 units)

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.

Restriction: Registration closed to the following class level(s): Freshmen, Sophomore
Crosslist: This course is offered by the EE department but may qualify for major credit in CSCI. To register, enroll in EE 450.

Section	Session	Type	Time	Days	Registered	Instructor	Location
31189R	001	Quiz	TBA	Friday	72 of 200		OFFICE
30568D	014	Lecture	7:30-9:20am	Tue, Thu	6 of 30	Ali Zahid	DEN@Viterbi
30570D	014	Discussion	2:00-2:50pm	Friday	6 of 30		DEN@Viterbi
31190D	014	Quiz	5:00-6:50pm	Friday	6 of 30		DEN@Viterbi
30564R	001	Lecture	11:00-12:50pm	Tue, Thu	58 of 58	Ali Zahid	THH210
30828R	001	Lecture	7:30-9:20am	Tue, Thu	14 of 70	Ali Zahid	OHE122
30566R	001	Discussion	5:00-5:50pm	Wednesday	45 of 58		DMC100
30829R	001	Discussion	2:00-2:50pm	Friday	27 of 70		OHE132

CSCI 455x: Introduction to Programming Systems Design (4.0 units)

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.

Note: Register for lecture and one lab.

Section	Session	Type	Time	Days	Registered	Instructor	Location
30327R	001	Lecture	10:00-11:20am	Tue, Thu	3 of 100	Claire Bono	OHE122
30029R	001	Lab	1:00-2:50pm	Thursday	3 of 30		SAL109
30329R	001	Lab	3:00-4:50pm	Thursday	0 of 30		SAL126
29934D	014	Lecture	10:00-11:20am	Tue, Thu	2 of 30	Claire Bono	DEN@Viterbi
30023R	014	Lab	TBA	TBA	2 of 30		DEN@Viterbi

Crosslist CSCI 457: Computer Systems Organization (4.0 units)

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.

Prerequisite: EE 354
Crosslist: This course is offered by the EE department but may qualify for major credit in CSCI. To register, enroll in EE 457.

Section	Session	Type	Time	Days	Registered	Instructor	Location
30478R	001	Lecture	2:00-3:50pm	Mon, Wed	35 of 50	Gandhi Puvvada	OHE230
30591R	001	Lecture	4:00-5:50pm	Tue, Thu	25 of 50	Gandhi Puvvada	OHE100D
30595D	014	Lecture	4:00-5:50pm	Tue, Thu	4 of 20	Gandhi Puvvada	DEN@Viterbi
30497R	001	Discussion	2:00-2:50pm	Friday	20 of 50		THH114
30593R	001	Discussion	12:00-12:50pm	Friday	40 of 50		OHE122
30594D	014	Discussion	12:00-12:50pm	Friday	4 of 20		DEN@Viterbi
30997R	001	Quiz	5:00-7:50pm	Friday	64 of 120		SGM101

Crosslist CSCI 458: Numerical Methods (4.0 units)

Rounding errors in digital computation; solution of linear algebraic systems; Newton's method for nonlinear systems; matrix eigenvalues; polynomial approximation; numerical integration; numerical solution of ordinary differential equations.

Prerequisite: 1 from (MATH 225 or MATH 235 or MATH 245)
Crosslist: This course is offered by the MATH department but may qualify for major credit in CSCI. To register, enroll in MATH 458.
Note: Register for lecture and one discussion

Section	Session	Type	Time	Days	Registered	Instructor	Location
39656D	001	Lecture	11:00-11:50am	MWF	45 of 49	Ricardo Mancera	WPH103
39657R	001	Discussion	2:00-2:50pm	Tue, Thu	25 of 25		THH208
39658R	001	Discussion	3:00-3:50pm	Tue, Thu	20 of 24		THH208
39659D	001	Lecture	2:00-2:50pm	MWF	30 of 31	Ricardo Mancera	GFS222
39660R	001	Discussion	8:00-8:50am	Tue, Thu	7 of 25		KAP158
39661R	001	Discussion	9:00-9:50am	Tue, Thu	23 of 24		KAP158

CSCI 467: Introduction to Machine Learning (4.0 units)

Methods for building intelligent and adaptive systems from statistical analyses; theoretical understanding of such methods and the computational implications.

Prerequisite: (CSCI 270 and MATH 225) and 1 from (EE 364 or MATH 407)

Section	Session	Type	Time	Days	Registered	Instructor	Location	Syllabus	Info
29977R	001	Lecture	3:30-4:50pm	Tue, Thu	58 of 58	Robin Jia	DMC100
30057R	001	Discussion	3:00-3:50pm	Friday	58 of 58		SOSB4

CSCI 475: Theory of Computation (4.0 units)

History of the theory of computing, foundational theorems and theoretical frameworks of computer science, solvable and unsolvable problems.

Prerequisite: CSCI 270

Section	Session	Type	Time	Days	Registered	Instructor	Location	Syllabus	Info
30330R	001	Lecture	10:00-11:50am	Mon, Wed	27 of 37	Aaron Cote	DMC201

Crosslist CSCI 487: Programming Game Engines (4.0 units)

Techniques for building the core components of a game engine; 2-D/3-D graphics, collision detection, artificial intelligence algorithms, shading, programming input devices. Prerequisite: ITP-380.

Prerequisite: ITP 380
Crosslist: This course is offered by the ITP department but may qualify for major credit in CSCI. To register, enroll in ITP 485.
Note: D-clearance on a section indicates that there is an active waitlist of students interested in registering for this section. If you would like to join the waitlist for this course, please fill out the form here: tally.so/r/wvPrZA.

Section	Session	Type	Time	Days	Registered	Instructor	Location	Syllabus	Info
32062R	001	Lecture-Lab	10:00-11:50am	Mon, Wed	27 of 36	Matthew Whiting	OHE540	PDF (412230 KB)

CSCI 490x: Directed Research (1.0-8.0 units, max 12)

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
30229D	001	Lecture	TBA	TBA	0 of 100		OFFICE

CSCI 491bL: Final Game Project (2.0 units)

b: Design, iterative stage 2 prototyping and development of a refined game.

Prerequisite: CSCI 491A

Section	Session	Type	Time	Days	Registered	Instructor	Location	Syllabus	Info
30219R	001	Lecture-Lab	2:00-5:20pm	Thursday	42 of 50	Scott Easley	EGG108

Crosslist CSCI 495: Senior Project (2.0 units)

An original project will be constructed applying computer technology (in either hardware or software) to produce a result useful in the physics classroom or laboratory.

Crosslist: This course is offered by the PHYS department but may qualify for major credit in CSCI. To register, enroll in PHYS 495.

Section	Session	Type	Time	Days	Registered	Instructor	Location	Syllabus	Info
50526D	001	Lecture-Lab	TBA	TBA	4 of 24		OFFICE

Crosslist CSCI 501: Numerical Analysis and Computation (3.0 units)

Linear equations and matrices, Gauss elimination, error estimates, iteration techniques; contractive mappings, Newton's method; matrix eigenvalue problems; least-squares approximation, Newton-Cotes and Gaussian quadratures; finite difference methods. Prerequisite: linear algebra and calculus.

Crosslist: This course is offered by the MATH department but may qualify for major credit in CSCI. To register, enroll in MATH 501.

Section	Session	Type	Time	Days	Registered	Instructor	Location	Syllabus	Info
39694R	001	Lecture	12:00-12:50pm	MWF	5 of 35	Cymra Haskell	KAP147

Crosslist CSCI 502b: Numerical Analysis (3.0 units)

Computational linear algebra; solution of general nonlinear systems of equations; approximation theory using functional analysis; numerical solution of ordinary and partial differential equations.

Prerequisite: MATH 502A
Crosslist: This course is offered by the MATH department but may qualify for major credit in CSCI. To register, enroll in MATH 502b.

Section	Session	Type	Time	Days	Registered	Instructor	Location	Syllabus	Info
39594R	001	Lecture	9:00-9:50am	MWF	4 of 25	Gary Rosen	KAP167

Crosslist CSCI 505b: Applied Probability (3.0 units)

Markov processes in discrete or continuous time; renewal processes; martingales; brownian motion and diffusion theory; random walks, inventory models, population growth, queuing models, shot noise.

Prerequisite: MATH 505A
Crosslist: This course is offered by the MATH department but may qualify for major credit in CSCI. To register, enroll in MATH 505b.

Section	Session	Type	Time	Days	Registered	Instructor	Location	Syllabus	Info
39708R	001	Lecture	1:00-1:50pm	MWF	12 of 20	Jianfeng Zhang	KAP138

Crosslist CSCI 517: Research Methods and Analysis for User Studies (4.0 units)

Introduction to research methods and data analysis techniques for human subject research; experimental research design, correlational research, data analysis, ensuring validity and ethics.

Crosslist: This course is offered by the DSCI department but may qualify for major credit in CSCI. To register, enroll in DSCI 517.

Section	Session	Type	Time	Days	Registered	Instructor	Location	Syllabus	Info
32457R	048	Lecture	2:00-3:50pm	Tue, Thu	87 of 240	Gale Lucas	SGM124
32458D	034	Lecture	2:00-3:50pm	Tue, Thu	4 of 30	Gale Lucas	DEN@Viterbi

CSCI 520: Computer Animation and Simulation (4.0 units)

Fundamental techniques of computer animation and simulation, knowledge and/or experience in the design, scripting, production and post-production stages of computer animation. Prerequisite: CSCI-420 or CSCI-580. Recommendedpreparation: Familiarity with calculus, linear algebra, and numerical computation; C/C++ programming skills.

Prerequisite: 1 from (CSCI 420 or CSCI 580)

Section	Session	Type	Time	Days	Registered	Instructor	Location	Syllabus	Info
30230D	048	Lecture	2:00-3:50pm	Mon, Wed	51 of 62	Jernej Barbic	SSL202

CSCI 522: Game Engine Development (4.0 units)

The principles of developing game engines targeted at modern PC and game console hardware.

Section	Session	Type	Time	Days	Registered	Instructor	Location	Syllabus	Info
30375R	048	Lecture	7:00-10:20pm	Monday	40 of 72	Artjoms Kovalovs	THH210

CSCI 526: Advanced Mobile Devices and Game Consoles (4.0 units)

Explore the complex engineering process required to design and build a real-time graphics engine to support physical realism on mobile devices. Recommended preparation: CSCI 420 or CSCI 580 or an equivalent course in graphics.

Section	Session	Type	Time	Days	Registered	Instructor	Location	Syllabus	Info
30012R	048	Lecture	1:00-4:20pm	Tuesday	90 of 90	Scott Easley	SCI108
30122R	048	Lecture	1:00-4:20pm	Friday	37 of 90	Scott Easley	SCI108

CSCI 529b: Advanced Game Projects (2.0 units)

Provides students in various areas of game specialization the practice of design, iterative stage 2 prototyping and development of a refined game.

Prerequisite: CSCI 529a

Section	Session	Type	Time	Days	Registered	Instructor	Location	Syllabus	Info
30220D	048	Lecture-Lab	2:00-5:20pm	Thursday	24 of 40	Andrew Nealen	EGG108

CSCI 531: Applied Cryptography (4.0 units)

Intensive overview of cryptography for practitioners, historical perspective on early systems, number theoretic foundations of modern day cryptosystems and basic cryptanalysis.

Section	Session	Type	Time	Days	Registered	Instructor	Location
30320D	048	Lecture	2:00-5:20pm	Wednesday	19 of 40	Tatyana Ryutov	OHE100C
30031R	048	Discussion	TBA	TBA	19 of 40		OFFICE
30321D	034	Lecture	2:00-5:20pm	Wednesday	7 of 30	Tatyana Ryutov	DEN@Viterbi
30032R	034	Discussion	TBA	TBA	7 of 30		DEN@Viterbi

CSCI 532: Innovation for Defense Applications (4.0 units)

Development of problem statements and innovative software prototypes for defense, intelligence and homeland security applications; team projects; hands-on experience.

Section	Session	Type	Time	Days	Registered	Instructor	Location	Syllabus	Info
30018D	048	Lecture	3:30-6:50pm	Thursday	29 of 40	Clifford Neuman	SOSB2

Crosslist CSCI 533: Algebraic Combinatorics (3.0 units)

Combinatorics motivated by Representation Theory and Algebraic Geometry. Topics may include: representations of the symmetric group, symmetric functions, Young tableaux and plane partitions, permutation enumeration.

Prerequisite: MATH 410 and MATH 532
Crosslist: This course is offered by the MATH department but may qualify for major credit in CSCI. To register, enroll in MATH 533.

Section	Session	Type	Time	Days	Registered	Instructor	Location	Syllabus	Info
39757R	001	Lecture	1:00-1:50pm	MWF	2 of 30	Joshua Swanson	KAP140

CSCI 534: Affective Computing (4.0 units)

Overview of the theory of human emotion, techniques for recognizing and synthesizing emotional behavior, and design application.

Section	Session	Type	Time	Days	Registered	Instructor	Location	Syllabus	Info
29973D	048	Lecture	2:00-3:50pm	Mon, Wed	55 of 60	Jonathan Gratch	DMC156

CSCI 535: Multimodal Probabilistic Learning of Human Communication (4.0 units)

Principles and techniques to understand, build, and utilize multimodal machine learning algorithms through automatically understanding, recognizing, and analyzing phenomena of human communication. Recommended preparation: CSCI 542 or CSCI 567 or CSCI 573 or equivalent.

Section	Session	Type	Time	Days	Registered	Instructor	Location	Syllabus	Info
30060D	048	Lecture	2:00-3:50pm	Mon, Wed	57 of 72	Mohammad Soleymani	THH208

CSCI 544: Applied Natural Language Processing (4.0 units)

Introduction to key components of human language technologies, including: information extraction, sentiment analysis, question answering, machine translation.

Section	Session	Type	Time	Days	Registered	Instructor	Location	Syllabus	Info
30063D	048	Lecture	5:00-6:50pm	Tue, Thu	275 of 294	Xuezhe Ma	THH201

CSCI 550: Advanced Data Stores (4.0 units)

Selected topics on highly available, elastic data stores. Topics include non-relational data models, simple interfaces and query languages, weak consistency and benchmarking techniques.

Prerequisite: 1 from (CSCI 485 or CSCI 585)

Section	Session	Type	Time	Days	Registered	Instructor	Location	Syllabus	Info
30135R	048	Lecture	10:00-11:50am	Tue, Thu	45 of 98	Ibrahim Sabek	SOSB2

CSCI 555L: Advanced Operating Systems (4.0 units)

Advanced topics in operating system research: new OS structures, novel memory management, communication, file system, process management, reliability and security techniques.

Prerequisite: 1 from (CSCI 350 or CSCI 402)

Section	Session	Type	Time	Days	Registered	Instructor	Location	Syllabus	Info
29933R	048	Lecture	2:00-3:50pm	Mon, Wed	24 of 35	Harsha Madhyastha	DMC101
29935R	048	Lab	TBA	TBA	24 of 35		OFFICE

Crosslist CSCI 557: Computer Systems Architecture (4.0 units)

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.

Prerequisite: EE 457
Crosslist: This course is offered by the EE department but may qualify for major credit in CSCI. To register, enroll in EE 557.
Note: Prerequisite taken at USC or placement exam required. Register for lecture and discussion

Section	Session	Type	Time	Days	Registered	Instructor	Location
30820R	048	Lecture	2:00-3:50pm	Tue, Thu	73 of 95	Murali Annavaram	OHE122
30722R	048	Discussion	3:00-3:50pm	Friday	73 of 95		OHE122
30716D	034	Lecture	2:00-3:50pm	Tue, Thu	2 of 20	Murali Annavaram	DEN@Viterbi
30718D	034	Discussion	3:00-3:50pm	Friday	2 of 20		DEN@Viterbi

Crosslist CSCI 559: Machine Learning I: Supervised Methods (4.0 units)

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.

Corequisite: EE 503 and EE 510
Crosslist: This course is offered by the EE department but may qualify for major credit in CSCI. To register, enroll in EE 559.

Section	Session	Type	Time	Days	Registered	Instructor	Location
30490D	048	Lecture	12:00-1:50pm	Tue, Thu	32 of 80	Mohammad Reza Rajati	OHE122
30561D	034	Lecture	12:00-1:50pm	Tue, Thu	1 of 20	Mohammad Reza Rajati	DEN@Viterbi
30565R	048	Discussion	11:00-11:50am	Friday	32 of 80		OHE122
30489D	034	Discussion	11:00-11:50am	Friday	1 of 20		DEN@Viterbi

CSCI 561: Foundations of Artificial Intelligence (4.0 units)

Foundations of symbolic intelligent systems, search, logic, knowledge representation, planning, learning.

Section	Session	Type	Time	Days	Registered	Instructor	Location
30071R	048	Lecture	5:00-7:20pm	Monday	68 of 230	Wei-Min Shen	SGM123
30070R	048	Discussion	7:30-8:20pm	Monday	68 of 230		SGM123
30034R	048	Quiz	TBA	TBA	68 of 230		OFFICE
29936D	034	Lecture	5:00-7:20pm	Monday	4 of 30	Wei-Min Shen	DEN@Viterbi
30030R	034	Discussion	7:30-8:20pm	Monday	4 of 30		DEN@Viterbi
30035R	034	Quiz	TBA	TBA	4 of 30		DEN@Viterbi

Crosslist CSCI 563: Building Knowledge Graphs (4.0 units)

Foundations, techniques and algorithms for building knowledge graphs and doing so at scale. Topics include information extraction, data alignment, entity linking and the Semantic Web.

Corequisite: 1 from (DSCI 551 or INF 551 or CSCI 585) and 1 from (DSCI 552 or INF 552 or CSCI 567)
Crosslist: This course is offered by the DSCI department but may qualify for major credit in CSCI. To register, enroll in DSCI 558.
Note: DSCI students must take DSCI 551 and DSCI 552 prior to taking DSCI 558.

Section	Session	Type	Time	Days	Registered	Instructor	Location	Syllabus	Info
32420R	048	Lecture	2:00-3:50pm	Tue, Thu	8 of 70	Jay Pujara	THH102

CSCI 566: Deep Learning and Its Applications (4.0 units)

Deep learning research in computer vision, natural language processing and robotics; neural networks; deep learning algorithms, tools and software.

Section	Session	Type	Time	Days	Registered	Instructor	Location	Syllabus	Info
30387D	048	Lecture	1:00-4:20pm	Friday	277 of 294	Yue Zhao	THH201

CSCI 567: 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.

Section	Session	Type	Time	Days	Registered	Instructor	Location
30079R	048	Lecture	1:00-3:20pm	Friday	96 of 190	Haipeng Luo	SGM124
30081R	048	Discussion	3:30-4:20pm	Friday	96 of 190		SGM124
30265R	048	Quiz	TBA	TBA	96 of 190		OFFICE
30213D	034	Lecture	1:00-3:20pm	Friday	12 of 30	Haipeng Luo	DEN@Viterbi
30264R	034	Discussion	3:30-4:20pm	Friday	12 of 30		DEN@Viterbi
30266R	034	Quiz	TBA	TBA	12 of 30		DEN@Viterbi

CSCI 568: Requirements Engineering (4.0 units)

Techniques for successful requirements analysis and requirements engineering (RE) of software-intensive systems. Systematic process of developing requirements through cooperative problem analysis, representation, and validation.

Prerequisite: CSCI 577A
Note: The prerequisite will be waived for cleared students. This means students cannot take CSCI 577A in a future semester.

Section	Session	Type	Time	Days	Registered	Instructor	Location	Syllabus	Info
30332R	048	Lecture	2:00-5:20pm	Monday	45 of 45	Mahdi Eslamimehr	RTH109
30334D	034	Lecture	2:00-5:20pm	Monday	10 of 20	Mahdi Eslamimehr	DEN@Viterbi

CSCI 570: 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.

Section	Session	Type	Time	Days	Registered	Instructor	Location
30177D	048	Lecture	5:00-7:20pm	Tuesday	10 of 120	Mate Szabo	SGM101
30090R	048	Discussion	7:30-8:20pm	Tuesday	10 of 120		THH102
29917R	048	Quiz	6:00-7:50pm	Friday	10 of 120		OFFICE
30395D	048	Lecture	5:00-7:20pm	Wednesday	4 of 100	Mate Szabo	SLH200
30089R	048	Discussion	7:30-8:20pm	Wednesday	4 of 100		SLH200
30227R	048	Quiz	6:00-7:50pm	Friday	4 of 100		OFFICE
30198D	048	Lecture	2:00-4:20pm	Friday	90 of 130	Shahriar Shamsian	SGM123
30290R	048	Discussion	4:30-5:20pm	Friday	90 of 130		SGM123
30291R	048	Quiz	6:00-7:50pm	Friday	90 of 130		OFFICE
30099D	034	Lecture	2:00-4:20pm	Friday	36 of 50	Shahriar Shamsian	DEN@Viterbi
29952R	034	Discussion	4:30-5:20pm	Friday	36 of 50		DEN@Viterbi
29953R	034	Quiz	6:00-7:50pm	Friday	36 of 50		DEN@Viterbi
29913D	048	Lecture	5:00-7:20pm	Thursday	120 of 120	Shahriar Shamsian	SGM101
29916R	048	Discussion	7:30-8:20pm	Thursday	120 of 120		THH102
30087R	048	Quiz	6:00-7:50pm	Friday	120 of 120		OFFICE

CSCI 571: Web Technologies (4.0 units)

Advanced study of programming languages with application to the Web. Languages for client-side and server-side processing. Examples taken from: HTML, Java, JavaScript, Python, JSON, NodeJS and others.

Section	Session	Type	Time	Days	Registered	Instructor	Location
30378R	048	Lecture	5:30-7:20pm	Tue, Thu	120 of 120	Marco Papa	SGM124
30322R	048	Lecture	7:30-9:20pm	Tue, Thu	51 of 120	Marco Papa	SGM124
30016D	034	Lecture	5:30-7:20pm	Tue, Thu	7 of 30	Marco Papa	DEN@Viterbi

CSCI 572: Information Retrieval and Web Search Engines (4.0 units)

Examines key aspects of information retrieval as they apply to search engines; web crawling, indexing, querying and quality of results are studied.

Section	Session	Type	Time	Days	Registered	Instructor	Location
30370D	048	Lecture	5:00-8:20pm	Tuesday	136 of 330	Sathyanaraya Raghavachary	SGM123
30151D	048	Lecture	5:00-8:20pm	Thursday	53 of 330	Sathyanaraya Raghavachary	SGM123
30210D	034	Lecture	5:00-8:20pm	Tuesday	20 of 50	Sathyanaraya Raghavachary	DEN@Viterbi

CSCI 576: Multimedia Systems Design (4.0 units)

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.

Section	Session	Type	Time	Days	Registered	Instructor	Location	Syllabus	Info
30319R	048	Lecture	6:00-9:20pm	Monday	50 of 240	Parag Havaldar	SGM124
30082D	034	Lecture	6:00-9:20pm	Monday	5 of 30	Parag Havaldar	DEN@Viterbi

CSCI 577a: Software Engineering (4.0 units)

A: Software life-cycle processes; planning considerations for product definition, development, test, implemetation, maintenance. Team project. Graduate standing.

Restriction: Registration closed to the following class level(s): Freshmen, Sophomore, Junior, Senior

Section	Session	Type	Time	Days	Registered	Instructor	Location	Syllabus	Info
30235D	048	Lecture	6:00-9:20pm	Monday	76 of 80	Mahdi Eslamimehr, Jae Young Bang	OHE132
30236D	034	Lecture	6:00-9:20pm	Monday	20 of 30	Mahdi Eslamimehr, Jae Young Bang	DEN@Viterbi

CSCI 580: 3-D Graphics and Rendering (4.0 units)

Course outlines the process of creating images from 3D models. Includes transformations, shading, lighting, rastorization, texturing, and other topics.

Section	Session	Type	Time	Days	Registered	Instructor	Location	Syllabus	Info
30390D	048	Lecture	2:00-3:50pm	Tue, Thu	38 of 82	Carter Slocum	GFS116
29998R	048	Discussion	TBA	TBA	38 of 82		OFFICE

CSCI 585: Database Systems (4.0 units)

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.

Restriction: Registration open to the following class level(s): Master Student, Doctoral Student

Section	Session	Type	Time	Days	Registered	Instructor	Location
30158R	048	Lecture	5:00-7:20pm	Wednesday	241 of 260	Sathyanaraya Raghavachary	SGM123
30194R	048	Discussion	7:30-8:20pm	Wednesday	241 of 260		SGM123
30156R	048	Quiz	3:00-4:50pm	Friday	241 of 260		TBA
30149D	034	Lecture	5:00-7:20pm	Wednesday	11 of 50	Sathyanaraya Raghavachary	DEN@Viterbi
30146R	034	Discussion	7:30-8:20pm	Wednesday	11 of 50		DEN@Viterbi
30157R	034	Quiz	3:00-4:50pm	Friday	11 of 50		DEN@Viterbi

CSCI 587: Geospatial Information Management (4.0 units)

Techniques to efficiently store, manipulate, index and query geospatial information in support of real-world geographical and decision-making applications.

Prerequisite: 1 from (CSCI 485 or CSCI 585 or SSCI 582)

Section	Session	Type	Time	Days	Registered	Instructor	Location	Syllabus	Info
30306R	048	Lecture	2:00-3:50pm	Mon, Wed	11 of 49	Cyrus Shahabi	SGM601	Word (13525 KB)

CSCI 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	Type	Time	Days	Registered	Instructor	Location	Syllabus	Info
30162D	048	Lecture	TBA	TBA	2 of 100		OFFICE

CSCI 591: Computer Science Research Colloquium (1.0 units, max 2)

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.

Note: This course will NOT always meet at the assigned times. Refer to the CS Department Calendar at cs.usc.edu for scheduled colloquium talks.

Section	Session	Type	Time	Days	Registered	Instructor	Location
30076D	048	Lecture	10:00-11:20am	Monday	17 of 80	Nenad Medvidovic	OHE132
30222D	048	Lecture	10:00-11:20am	Wednesday	6 of 80	Nenad Medvidovic	OHE132
30223D	034	Lecture	10:00-11:20am	Wednesday	9 of 30	Nenad Medvidovic	DEN@Viterbi

CSCI 594a: Master's Thesis (2.0 units)

Credit on acceptance of thesis. Graded IP/CR/NC.

Section	Session	Type	Time	Days	Registered	Instructor	Location	Syllabus	Info
30168D	048	Lecture	TBA	TBA	0 of 25		OFFICE

CSCI 594b: Master's Thesis (2.0 units)

Credit on acceptance of thesis. Graded IP/CR/NC.

Prerequisite: CSCI 594A

Section	Session	Type	Time	Days	Registered	Instructor	Location	Syllabus	Info
30169D	048	Lecture	TBA	TBA	0 of 25		OFFICE

CSCI 594z: Master's Thesis (0.0 units)

Credit on acceptance of thesis. Graded IP/CR/NC.

Prerequisite: CSCI 594B

Section	Session	Type	Time	Days	Registered	Instructor	Location	Syllabus	Info
30170D	048	Lecture	TBA	TBA	0 of 25		OFFICE

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

Course content to be selected each semester from recent developments in computer science.

Note: D-clearance can be requested on MyViterbi.

Section	Session	Units	Type	Time	Days	Registered	Instructor	Location	Syllabus	Info
Optimization for Machine Learning
30131D	048	4.0	Lecture	4:00-5:50pm	Mon, Wed	29 of 30	Sai Praneeth Karimireddy	DMC101	PDF (364927 KB)

CSCI 625: Program Synthesis and Computer-Aided Verification (4.0 units)

Introduction to the principles and practices of software verification and program synthesis.

Section	Session	Type	Time	Days	Registered	Instructor	Location	Syllabus	Info
30093D	048	Lecture	3:30-5:20pm	Mon, Wed	6 of 26	Mukund Raghothaman	DMC209

CSCI 644: Natural Language Dialogue Systems (4.0 units)

Computational models of natural language dialogue; conversational interfaces to artificial systems; dialogue system architectures and applications; Reinforcement learning of dialogue policies.

Section	Session	Type	Time	Days	Registered	Instructor	Location	Syllabus	Info
30007D	048	Lecture	2:00-5:20pm	Wednesday	14 of 27	David Traum	THHB9

CSCI 649: Haptic Interfaces and Virtual Environments (4.0 units)

Introduction to haptics; human haptic sensing and perception, haptic interface design, virtual environment rendering, teleoperation, human subject studies; includes hardware programming and a research-oriented project.

Section	Session	Type	Time	Days	Registered	Instructor	Location	Syllabus	Info
30277D	048	Lecture	2:00-3:50pm	Mon, Wed	5 of 35	Heather Culbertson	KAP148

CSCI 655: Advanced Topics in Operating Systems (4.0 units)

Advanced OS architectures; methods in design and evaluation of process management and concurrency; reliable distributed file systems; memory management, for cloud and virtualized environments.

Prerequisite: 1 from (CSCI 350 or CSCI 402)

Section	Session	Type	Time	Days	Registered	Instructor	Location	Syllabus	Info
30233D	048	Lecture	2:00-3:50pm	Mon, Wed	2 of 5	Harsha Madhyastha	DMC101

Crosslist CSCI 658: Diagnosis and Design of Reliable Digital Systems (4.0 units)

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.

Crosslist: This course is offered by the EE department but may qualify for major credit in CSCI. To register, enroll in EE 658.

Section	Session	Type	Time	Days	Registered	Instructor	Location	Syllabus	Info
30883R	048	Lecture	12:00-3:50pm	Saturday	35 of 40	Moe Tabar	KAP144

CSCI 670: Advanced Analysis of Algorithms (4.0 units)

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

Section	Session	Type	Time	Days	Registered	Instructor	Location	Syllabus	Info
30313D	048	Lecture	10:00-11:50am	Mon, Wed	23 of 154	David Kempe	MHP101

CSCI 673: Structure and Dynamics of Networked Information (4.0 units)

Algorithms for analyzing network data and spreading information over networks. Focuses on broadly applicable mathematical tools and techniques, including spectral techniques, approximation algorithms and randomization.

Prerequisite: 1 from (CSCI 570 or CSCI 670)

Section	Session	Type	Time	Days	Registered	Instructor	Location	Syllabus	Info
30048R	048	Lecture	4:00-5:50pm	Mon, Wed	11 of 28	David Kempe	GFS107

CSCI 677: Advanced Computer Vision (4.0 units)

Fundamental issues in computer vision: theory, algorithms and applications. Image formation, image segmentation, inference and measurement of 3-D, motion analysis, object and activity recognition.

Section	Session	Type	Time	Days	Registered	Instructor	Location	Syllabus	Info
30100D	048	Lecture	2:00-5:20pm	Thursday	10 of 75	Yue Wang	OHE136
30118D	034	Lecture	2:00-5:20pm	Thursday	0 of 30	Yue Wang	DEN@Viterbi

CSCI 697: Seminar in Computer Science Research (1.0 units, max 2)

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.

Restriction: Registration open to the following major(s): Computer Science
Restriction: Registration open to the following class level(s): Doctoral Student

Section	Session	Type	Time	Days	Registered	Instructor	Location	Syllabus	Info
30176R	048	Lecture	12:00-12:50pm	Monday	38 of 150	Emilio Ferrara	SGM101

CSCI 698: Practicum in Teaching Computer Science (1.0 units, max 2)

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.

Restriction: Registration open to the following major(s): Computer Science
Restriction: Registration open to the following class level(s): Doctoral Student

Section	Session	Type	Time	Days	Registered	Instructor	Location	Syllabus	Info
30209R	048	Lecture	1:00-1:50pm	Monday	30 of 50	Claire Bono	SLH200
30237R	048	Lecture	2:00-2:50pm	Monday	2 of 50	Claire Bono	THH212

CSCI 699: Special Topics (2.0-4.0 units, max 8)

Course content to be selected each semester from recent developments in computer science.

Restriction: Registration open to the following class level(s): Doctoral Student

Section	Session	Units	Type	Time	Days	Registered	Instructor	Location	Syllabus
History of Language and Computation
30117R	048	4.0	Lecture	4:00-5:50pm	Tue, Thu	16 of 21	Jesse Thomason	GFS220	PDF (301283 KB)
Trustworthy Large Foundation Models: on Bias, Privacy and Safety Issues
30132R	048	4.0	Lecture	3:30-6:50pm	Monday	25 of 25	Jieyu Zhao	GFS213	PDF (327438 KB)
Probabilistic and Generative Models
30165R	048	4.0	Lecture	2:00-5:20pm	Friday	30 of 30	Willie Neiswanger	KAP144	PDF (313601 KB)

CSCI 790: Research (1.0-12.0 units)

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	Type	Time	Days	Registered	Instructor	Location	Syllabus	Info
30208D	048	Lecture	TBA	TBA	26 of 250		OFFICE