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Computer Science (CSCI)
- http://www.cs.usc.edu/
- D class assignments are only available on line at: myviterbi.usc.edu. Once you create your myViterbi profile, select the "D-Clearance Request Manager" to submit requests for CSCI courses. To be enrolled in an off-campus course, you MUST also be enrolled in the Distance Education Network (DEN). For more information, call 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.
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
- Note: This course has a waitlist. To join the waitlist, submit a request on the myViterbi.usc.edu D-Clearance Request Manager.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 29903D | 056 | Lecture | 9:30-11:45am | Tue, Thu | 25 of 36 | Mark Redekopp | SSL202 |   | |
| 29904R | 056 | Lab | 10:00-11:50am | Wednesday | 12 of 18 | SAL127 | | ||
| 29959R | 056 | Lab | 10:00-11:50am | Wednesday | 13 of 18 | SAL126 | | ||
| 29905R | 056 | Quiz | TBA | TBA | 25 of 36 | OFFICE | |
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
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 29960R | 051 | Lecture | 1:00-3:05pm | MWF | 13 of 70 | Shaddin Dughmi | GFS116 | | |
| 29961R | 051 | Discussion | 1:00-3:05pm | Thursday | 13 of 70 | GFS116 | | ||
| 29962R | 051 | Quiz | TBA | TBA | 13 of 70 | OFFICE | |
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 | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 29955R | 051 | Lecture | 11:00-1:05pm | MTuWTh | 15 of 70 | Victor Adamchik | SAL101 | | |
| 29956R | 051 | Lab | TBA | TBA | 15 of 70 | OFFICE | | ||
| 29957R | 051 | Quiz | TBA | TBA | 15 of 70 | OFFICE | |
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.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 29908D | 058 | Lecture | 9:30-11:30am | Tue, Thu | 18 of 100 | William Cheng | OHE122 | PDF (3289 KB) | |
| 29909R | 058 | Discussion | 10:00-11:10am | Friday | 18 of 100 | OHE122 | | ||
| 29910D | 270 | Lecture | 9:30-11:30am | Tue, Thu | 7 of 30 | William Cheng | DEN@Viterbi | PDF (3289 KB) | |
| 29911R | 270 | Discussion | 10:00-11:10am | Friday | 7 of 30 | DEN@Viterbi | |
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 | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 30502D | 054 | Lecture | 1:00-4:35pm | Mon, Wed | 28 of 30 | Shahin Nazarian | OHE100C | | |
| 30506D | 900 | Lecture | 1:00-4:35pm | Mon, Wed | 21 of 20 | Shahin Nazarian | DEN@Viterbi | | |
| 30504R | 054 | Discussion | 3:00-3:50pm | Friday | 28 of 30 | OHE136 | | ||
| 30508D | 900 | Discussion | 3:00-3:50pm | Friday | 21 of 20 | DEN@Viterbi | | ||
| 30470R | 054 | Quiz | 6:00-8:00pm | Monday | 28 of 30 | OFFICE | | ||
| 30473D | 900 | Quiz | 6:00-8:00pm | Monday | 21 of 20 | DEN@Viterbi | |
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.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 29912D | 050 | Lecture | 1:10-3:15pm | MTuW | 23 of 75 | Sathyanaraya Raghavachary | OHE136 | | |
| 29913R | 050 | Lab | 1:10-3:15pm | Thursday | 23 of 75 | OHE136 | | ||
| 29914D | 162 | Lecture | 1:10-3:15pm | MTuW | 13 of 30 | Sathyanaraya Raghavachary | DEN@Viterbi | | |
| 29915R | 162 | Lab | 1:10-3:15pm | Thursday | 13 of 30 | DEN@Viterbi | |
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 | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 30422D | 925 | Lecture | 1:30-4:40pm | Tue, Thu | 3 of 5 | Mark Redekopp | DEN@Viterbi | | |
| 30425D | 925 | Discussion | 1:00-2:50pm | Friday | 3 of 5 | DEN@Viterbi | | ||
| 30592D | 925 | Quiz | TBA | TBA | 3 of 5 | DEN@Viterbi | | ||
| 30420D | 055 | Lecture | 1:30-4:40pm | Tue, Thu | 12 of 17 | Mark Redekopp | OHE100C | | |
| 30421R | 055 | Discussion | 1:00-2:50pm | Friday | 12 of 17 | OHE136 | | ||
| 30423R | 055 | Quiz | TBA | TBA | 12 of 17 | OFFICE | |
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 |
|---|---|---|---|---|---|---|---|---|---|
| 29937D | 051 | Lecture | TBA | TBA | 3 of 30 | Lizsl De Leon | OFFICE | | |
| 29938D | 059 | Lecture | TBA | TBA | 6 of 30 | Lizsl De Leon | OFFICE | |
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 | 051 | Lecture | TBA | TBA | 0 of 1 | OFFICE | |
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 |
|---|---|---|---|---|---|---|---|---|---|
| 39440R | 054 | Lecture | 11:00-1:00pm | MWF | 15 of 30 | Gary Rosen | GFS222 | |
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 |
|---|---|---|---|---|---|---|---|---|---|
| 29934D | 906 | Lecture | 6:00-9:00pm | Tue, Thu | 89 of 150 | Scott Easley | SGM101 | PDF (233438 KB) | |
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 | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 30589D | 911 | Lecture | 11:00-12:50pm | TuWTh | 4 of 20 | Mohammad Reza Rajati | DEN@Viterbi | | |
| 30590D | 911 | Discussion | 2:00-2:50pm | Friday | 4 of 20 | DEN@Viterbi | | ||
| 30585D | 906 | Lecture | 11:00-12:50pm | TuWTh | 20 of 60 | Mohammad Reza Rajati | OHE100C | | |
| 30587R | 906 | Discussion | 2:00-2:50pm | Friday | 20 of 60 | OHE122 | |
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 | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 29922D | 901 | Lecture | 12:00-2:05pm | MTuWTh | 65 of 120 | Victor Adamchik | OHE122 | | |
| 29923R | 901 | Discussion | TBA | TBA | 65 of 120 | OFFICE | | ||
| 29924R | 901 | Quiz | TBA | TBA | 65 of 120 | OFFICE | | ||
| 29925D | 909 | Lecture | 12:00-2:05pm | MTuWTh | 9 of 30 | Victor Adamchik | DEN@Viterbi | | |
| 29926R | 909 | Discussion | TBA | TBA | 9 of 30 | DEN@Viterbi | | ||
| 29927R | 909 | Quiz | TBA | TBA | 9 of 30 | DEN@Viterbi | |
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 | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 29928D | 902 | Lecture | 5:00-7:50pm | MWTh | 95 of 120 | Shahriar Shamsian | OHE122 | | |
| 29929R | 902 | Discussion | TBA | TBA | 95 of 120 | OFFICE | | ||
| 29930R | 902 | Quiz | TBA | TBA | 95 of 120 | OFFICE | | ||
| 29931D | 910 | Lecture | 5:00-7:50pm | MWTh | 32 of 40 | Shahriar Shamsian | DEN@Viterbi | | |
| 29932R | 910 | Discussion | TBA | TBA | 32 of 40 | DEN@Viterbi | | ||
| 29933R | 910 | Quiz | TBA | TBA | 32 of 40 | DEN@Viterbi | |
Advanced study of programming languages with application to the Web. Languages for client-side and server-side processing. Examples taken from: HTML, Java, JavaScript, Perl, XML and others. Recommended preparation: knowledge of at least two programming languages
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 29953D | 901 | Lecture | 5:45-7:50pm | MTuWTh | 61 of 120 | Marco Papa | OHE122 | PDF (134145 KB) | |
| 29954D | 909 | Lecture | 5:45-7:50pm | MTuWTh | 21 of 34 | Marco Papa | DEN@Viterbi | PDF (134145 KB) | |
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 | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 29916D | 901 | Lecture | 3:30-5:35pm | MTuWTh | 104 of 120 | Sathyanaraya Raghavachary | OHE122 | | |
| 29917R | 901 | Discussion | TBA | TBA | 104 of 120 | OFFICE | | ||
| 29918R | 901 | Quiz | TBA | TBA | 104 of 120 | OFFICE | | ||
| 29919D | 909 | Lecture | 3:30-5:35pm | MTuWTh | 40 of 46 | Sathyanaraya Raghavachary | DEN@Viterbi | | |
| 29920R | 909 | Discussion | TBA | TBA | 40 of 46 | DEN@Viterbi | | ||
| 29921R | 909 | Quiz | TBA | TBA | 40 of 46 | DEN@Viterbi | |
Research leading to the master's degree. Maximum units which may be applied to the degree to be determined by the department. Graded CR/NC.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 29939D | 902 | Lecture | TBA | TBA | 2 of 30 | Lizsl De Leon | OFFICE | | |
| 29940D | 908 | Lecture | TBA | TBA | 16 of 30 | Lizsl De Leon | OFFICE | |
Credit on acceptance of thesis. Graded IP/CR/NC.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 29941D | 908 | Lecture | TBA | TBA | 1 of 30 | OFFICE | |
Credit on acceptance of Dissertation. Graded CR/NC.
- Restriction: Registration open to the following class level(s): Doctoral Student
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 29946D | 908 | Lecture | TBA | TBA | 3 of 30 | OFFICE | |