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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.
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 | 1:00-4:15pm | Mon, Wed | 11 of 50 | Shaddin Dughmi | GFS101 |  | |
| 29961R | 051 | Discussion | 1:00-3:00pm | Thursday | 11 of 50 | SSL202 | | ||
| 29962R | 051 | Quiz | TBA | TBA | 11 of 50 | 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 | 050 | Lecture | 11:00-1:05pm | MTuWTh | 12 of 50 | Victor Adamchik | SSL202 | | |
| 29957R | 050 | Quiz | TBA | TBA | 13 of 50 | OFFICE | | ||
| 29956R | 050 | Lab | TBA | TBA | 13 of 50 | 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 |
|---|---|---|---|---|---|---|---|---|---|
| 29908R | 058 | Lecture | 9:30-11:30am | Tue, Thu | 15 of 40 | William Cheng | OHE122 | PDF (2784 KB) | |
| 29909R | 058 | Discussion | 10:00-11:10am | Friday | 15 of 40 | OHE122 | | ||
| 29910D | 270 | Lecture | 9:30-11:30am | Tue, Thu | 7 of 20 | William Cheng | DEN@Viterbi | PDF (2784 KB) | |
| 29911R | 270 | Discussion | 10:00-11:10am | Friday | 7 of 20 | 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 |
|---|---|---|---|---|---|---|---|---|---|
| 30502R | 054 | Lecture | 1:00-4:35pm | Mon, Wed | 16 of 30 | Shahin Nazarian | OHE100B | PDF (343472 KB) | |
| 30506D | 900 | Lecture | 1:00-4:35pm | Mon, Wed | 10 of 15 | Shahin Nazarian | DEN@Viterbi | PDF (343472 KB) | |
| 30504R | 054 | Discussion | 3:00-3:50pm | Friday | 17 of 30 | OHE100B | | ||
| 30508D | 900 | Discussion | 3:00-3:50pm | Friday | 9 of 15 | DEN@Viterbi | | ||
| 30470R | 054 | Quiz | 6:00-8:00pm | Monday | 17 of 30 | GFS207 | | ||
| 30473D | 900 | Quiz | 6:00-8:00pm | Monday | 9 of 15 | DEN@Viterbi | |
Individual research and readings. Not available for graduate credit.
- Restriction: Registration open to the following class level(s): Junior, Senior
| Section | Session | Units | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|---|
| 29937D | 051 | 1.0-8.0 | Lecture | TBA | TBA | 0 of 30 | William Halfond | OFFICE | | |
| 29938D | 059 | 1.0-8.0 | Lecture | TBA | TBA | 0 of 30 | William Halfond | OFFICE | | |
| 29982D | 636 | 2.0 | Lecture | TBA | TBA | 1 of 1 | William Halfond | 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 | 13 of 30 | Gary Rosen | KAP145 | |
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 |
|---|---|---|---|---|---|---|---|---|---|
| 29934R | 906 | Lecture | 6:00-9:00pm | Tue, Thu | 23 of 70 | Scott Easley | GFS116 | PDF (362424 KB) | |
| 29980D | 674 | Lecture | 6:00-9:00pm | Tue, Thu | 0 of 1 | Scott Easley | |
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 |
|---|---|---|---|---|---|---|---|---|---|
| 30585R | 906 | Lecture | 12:00-1:50pm | TuWTh | 5 of 30 | Mohammad Reza Rajati | OHE120 | PDF (242102 KB) | |
| 30589D | 911 | Lecture | 12:00-1:50pm | TuWTh | 2 of 20 | Mohammad Reza Rajati | DEN@Viterbi | PDF (242102 KB) | |
| 30587R | 906 | Discussion | 2:00-2:50pm | Friday | 5 of 30 | OHE120 | | ||
| 30590R | 911 | Discussion | 2:00-2:50pm | Friday | 2 of 20 | DEN@Viterbi | |
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 |
|---|---|---|---|---|---|---|---|---|---|
| 29922R | 901 | Lecture | 1:30-4:20pm | TuWTh | 30 of 40 | Victor Adamchik | RTH109 | | |
| 29923R | 901 | Discussion | TBA | TBA | 30 of 40 | OFFICE | | ||
| 29924R | 901 | Quiz | TBA | TBA | 30 of 40 | OFFICE | | ||
| 29925D | 909 | Lecture | 1:30-4:20pm | TuWTh | 8 of 30 | Victor Adamchik | DEN@Viterbi | | |
| 29926R | 909 | Discussion | TBA | TBA | 8 of 30 | DEN@Viterbi | | ||
| 29927R | 909 | Quiz | TBA | TBA | 8 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 |
|---|---|---|---|---|---|---|---|---|---|
| 29928R | 902 | Lecture | 3:00-5:50pm | MWTh | 96 of 120 | Shahriar Shamsian | OHE122 | | |
| 29929R | 902 | Discussion | TBA | TBA | 96 of 120 | OFFICE | | ||
| 29930R | 902 | Quiz | TBA | TBA | 96 of 120 | OFFICE | | ||
| 29931D | 910 | Lecture | 3:00-5:50pm | MWTh | 31 of 40 | Shahriar Shamsian | DEN@Viterbi | | |
| 29932R | 910 | Discussion | TBA | TBA | 31 of 40 | DEN@Viterbi | | ||
| 29933R | 910 | Quiz | TBA | TBA | 31 of 40 | DEN@Viterbi | | ||
| 29970R | 902 | Lecture | 3:00-5:50pm | MWTh | 17 of 100 | Shahriar Shamsian | SLH200 |  | |
| 29971R | 902 | Discussion | TBA | TBA | 17 of 100 | OFFICE | | ||
| 29972R | 902 | Quiz | TBA | TBA | 17 of 100 | OFFICE | |
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 |
|---|---|---|---|---|---|---|---|---|---|
| 29916R | 901 | Lecture | 1:30-3:35pm | MTuWTh | 49 of 70 | Sathyanaraya Raghavachary | OHE122 | | |
| 29917R | 901 | Discussion | TBA | TBA | 49 of 70 | OFFICE | | ||
| 29918R | 901 | Quiz | TBA | TBA | 49 of 70 | OFFICE | | ||
| 29919D | 909 | Lecture | 1:30-3:35pm | MTuWTh | 34 of 35 | Sathyanaraya Raghavachary | DEN@Viterbi | | |
| 29920R | 909 | Discussion | TBA | TBA | 34 of 35 | DEN@Viterbi | | ||
| 29921R | 909 | Quiz | TBA | TBA | 34 of 35 | 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 | 5 of 30 | Stefanos Nikolaidis | OFFICE | | |
| 29940D | 908 | Lecture | TBA | TBA | 3 of 30 | Stefanos Nikolaidis | 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 | 0 of 30 | OFFICE | |
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 |
|---|---|---|---|---|---|---|---|---|---|
| 29944D | 902 | Lecture | TBA | TBA | 30 of 35 | Emilio Ferrara | OFFICE | | |
| 29945D | 908 | Lecture | TBA | TBA | 6 of 30 | Emilio Ferrara | 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 | 2 of 30 | OFFICE | |