Undergraduate Degree
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Bachelor of Science in Computer Engineering and Computer Science
Students attaining the Bachelor of Science degree in Computer Engineering and Computer Science would possess the scientific and engineering skills and knowledge that would enable them to design and implement computer systems that effectively and efficiently integrate developing hardware and software technologies. This degree is administered jointly by the Departments of Computer Science and Electrical Engineering.In order to earn the Bachelor of Science degree in Computer Engineering and Computer Science, the student must: (1) earn 132 class units as described below; (2) achieve a minimum grade point average of 2.0 on all course work undertaken at USC; (3) attain a minimum grade point average of 2.0 on all course work completed in Electrical Engineering and Computer Science at USC.
The following sample four-year program is only an example of how the required courses might be scheduled. A student does not have to take the required course work in the order specified in the sample program although it would be appropriate to try and follow it as closely as possible.
Sample Four-Year Program
First Year, First Semester Units EE 105 Introduction to Electrical Engineering, or CSCI 105 Introduction to Computer Science 3 MATH 125 Calculus I 4 General education* Social Issues 4 WRIT 140* Writing and Critical Reasoning 4 ____ 15 First Year, Second Semester Units CSCI 101L** Fundamentals of Computer Programming 3 EE 101 Introduction to Digital Logic 3 MATH 126 Calculus II 4 General education 4 ____ 14 Second Year, First Semester Units CSCI 102L** Data Structures 4 EE 102L Introduction to Digital Circuits 2 MATH 226 Calculus III 4 PHYS 151L*** Fundamentals of Physics I: Mechanics and Thermodynamics 4 General education 4 ____ 18 Second Year, Second Semester Units CSCI 201L Principles of Software Development 4 EE 357 Basic Organization of Computer Systems 3 MATH 225 Linear Algebra and Differential Equations 4 PHYS 152L Fundamentals of Physics II: Electricity and Magnetism 4 Advanced writing course 3 ____ 18 Third Year, First Semester Units CSCI 271 Discrete Methods in Computer Science 4 EE 326L Essentials of Electrical Engineering 4 EE 457 Computer Systems Organization 3 ISE 460 Engineering Economics 3 Science elective**** 4 ____ 18 Third Year, Second Semester Units CSCI 301 Theory of Computation 3 CSCI 402 Operating Systems 3 EE 327 Digital Electronics 3 MATH 407 Probability Theory 4 General education 4 ____ 17 Fourth Year, First Semester Units CSCI 303 Analysis and Design of Algorithms 3 EE 454L Introduction to Systems Using Microprocessors 4 General education 4 Electives
*****technical 6 ____ 17 Fourth Year, Second Semester Units EE 459L Senior Design Project, or CS 477 Design and Construction of Large Software Systems 3 or 4 A 400-level Math course****** 4 Electives
*****technical 8 ____ 15 or 16 *Taken concurrently.
**CSCI 120 can substitute for CSCI 101 and CSCI 102 with permission of an advisor.
***Satisfies general education requirement for category III.
****See an advisor for a list of science courses that can satisfy this requirement.
*****See an advisor for a list of courses that can satisfy the technical elective requirement. A CECS major must take a set of courses for at least one of the following four areas of specialization as part of his or her 14 technical elective units.
a. Theory - CSCI 301, CSCI 410, CSCI 430
b. Multimedia and Graphics - EE 320, CSCI 351, CSCI 480
c. Advanced Circuit Design - EE 477, EE 478, EE 479
d. Software Systems - CSCI 351, CSCI 477, CSCI 485******Any 400-level Mathematics course can be taken to satisfy this requirement except MATH 406 or MATH 450.
Minor in Multimedia and Creative Technologies
See listing under Multimedia and Creative Technologies.
Graduate Degrees
The graduate program in computer engineering, offered through the Department of Electrical Engineering, is designed to provide students with an intensive background in the analysis, structure, design and function of digital computers and information processing systems. In addition to giving each student a fundamental background in digital logic, computer architecture and operating systems, a wide variety of elective courses allows for study in the following specialized areas: artificial intelligence; computer architecture; computer networks; computer system performance; design automation; fault-tolerant computers; microprocessors; parallel processing; real-time systems; robotics; and VLSI design.Master of Science in Computer Engineering
The Master of Science in Computer Engineering is earned by completing an integrated program of at least 27 units of approved course work. At most, nine units at the 400 level may be counted toward the degree, and the remaining units must be at the 500 or 600 level. At least 15 units must be taken at the 500 or 600 level in the computer engineering major. (Those courses in computer science cross-listed with electrical engineering are considered computer engineering.) All course work requires the prior approval of a computer engineering faculty member. Elective units may be chosen from a list of computer engineering, computer science, electrophysics, signal processing and mathematics courses.These elective units will be recommended and approved by the individual computer engineering faculty advisor. A minimum grade point average of 3.0 must be earned on all course work applied toward the master's degree in computer engineering. This average must also be achieved on all 400-level and above course work attempted at USC beyond the bachelor's degree. Transfer units count as credit (CR) toward the master's degree and are not computed in the grade point average. All other School of Engineering requirements for the Master of Science apply. For the M.S., Electrical Engineering VLSI Design and M.S., Electrical Engineering Computer Network degrees section.
Required courses Units EE 557 Computer Systems Architecture, and 3 CSCI 402x Operating Systems, or CSCI 555 Advanced Operating Systems 3 and one of the following: CSCI 545 Robotics 3 EE 549 Queueing Theory for Performance Modeling 3 EE 550 Design and Analysis of Computer Communication Networks 3 EE 552 Logic Design and Switching Theory 3 EE 554 Real-Time Computer Systems 3 EE/CSCI 561 Artificial Intelligence 3 EE 577 VLSI System Design 3 and approved electives 18 ____ 27
Doctor of Philosophy in Computer Engineering
The requirements for the Doctor of Philosophy (Ph.D.) degree in computer engineering are in strict conformity with the requirements of the Graduate School. Program requirements for the Ph.D. in computer engineering are the same as those for the Ph.D. in electrical engineering except that the major field is computer engineering. See general requirements for graduate degrees.Screening and qualifying examinations are administered by the computer engineering faculty. Students should contact the Electrical Engineering-Systems Department Office for further information.
Major Areas in Computer Engineering and Relevant Courses (not applicable to M.S., Computer Engineering requirements)
Computer Systems Architecture Units EE 457x Computer Systems Organization 3 EE 554 Real Time Computer Systems 3 EE 557 Computer Systems Architecture 3 EE 653 Multithreaded Architectures, Data-Flow Computing and Functional Programming 3 EE 656 Fault Tolerant Computer Systems 3 EE 657 Parallel Processing 3 EE 659 Interconnection Networks 3 Artificial Intelligence Units CSCI 544 Natural Language Processing 3 CSCI 598 Expert Systems 3 CSCI 674 Advanced Topics in Computer Vision 3 EE 559 Mathematical Pattern Recognition 3 CSCI 561 Artificial Intelligence 3 CSCI 574 Computer Vision 3 CSCI 592 Symbolic Computation for Artificial Intelligence 3 Robotics Units CSCI 545 Robotics 3 EE 546L Basic Robotics Laboratory 3 EE 547 Software Methods in Robotics 3 EE 548 Analytical Methods in Robotics 3 ME 541 Linear Control Systems II 3 Computer Networks and Distributed Systems Units CSCI 551 Computer Communications 3 CSCI 555 Advanced Operating Systems 3 CSCI/EE 579 Graph and Combinatorial Algorithms 3 EE 450 Introduction to Computer Networks 3 EE 549 Queueing Theory for Performance Modeling 3 EE 550 Design and Analysis of Computer Communication Networks 3 EE 555 Broadband Network Architectures 3 EE 649 Applied Performance Evaluation for Computer Systems 3 EE 650 Advanced Topics in Computer Networks 3 Digital Systems Design Units EE 552 Logic Design and Switching Theory 3 EE 577ab VLSI System Design 3-2 EE 582 Technical Seminar on VLSI Design 1 EE 658 Diagnosis and Design of Reliable Digital Systems 3 EE 677 VLSI Architectures and Algorithms 3 EE 680 Computer Aided Design of Digital Systems I 3 EE 681 Computer Aided Design of Digital Systems II 3
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