Electrical & Computer Engineering - Computers

Courses

ECEC 500 Fundamentals Of Computer Hardware 3.0 Credits

Covers computer organization and architecture; elements of computer hardware, processors, control units, and memories; hardware for basic mathematical operations; tradeoffs between speed and complexity; examples of embedded systems; microcontrollers; systems modeling.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit

ECEC 501 Computational Principles of Representation and Reasoning 3.0 Credits

This course presents fundamentals of discrete mathematics as applied within the computer engineering and manufacturing environment. Students are given the theoretical background in representation and reasoning for a broad variety of engineering problems solving situations. Entity-relational techniques of representation are demonstrated to evolve into the object-oriented approach. Various search techniques are applied in the cases of representing engineering systems by using theory of automata techniques.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit

ECEC 502 Principles of Data Analysis 3.0 Credits

This course presents theoretical methods and techniques of model development applicable within the computer engineering design and manufacturing environment. Students are given the theoretical background in data analysis (including "data mining"). Emphasis is on hybrid systems and discrete events systems. Various methods of recognizing regularities in data will be presented. Elements of the theory of clustering and classification will be dealt with for the paradigm of software and hardware problems.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit

ECEC 503 Principles of Decision Making 3.0 Credits

This course presents theoretical fundamentals and engineering techniques of decision making and problem solving applicable within the computer engineering design and manufacturing environment. Students are given the theoretical background in optimization methods for a broad variety of situation. Elements of the theory of planning and on-line control of systems are presented within the scope of software and hardware computer design and control.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit

ECEC 511 Combinational Circuit Design 3.0 Credits

Representing arithmetic. Logic and syntax data for machine processing. Switching algebra: Boolean and multiple values. Identification and classification of functions. Realizing completely specified and incompletely specified Boolean functions. Issues in designing large communication/control Boolean functions. Fault and testing of Boolean function.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit

ECEC 512 Sequential Circuit Design 3.0 Credits

Finite automata and their realization by sequential machines, capabilities, transformation, and minimization of finite automata, linear finite automata. Clocked pulsed and level mode sequential circuits. Malfunctions in sequential circuits: hazards, races, lockouts, metastability. Issues of state assignment. Evolution of memory elements design: ROM vs. RAM vs. associative memory.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: ECEC 511 [Min Grade: C]

ECEC 513 Design for Testability 3.0 Credits

Economics vs. Complexity vs. Strategy of Testing; Fault Models; Test Generation; Testability Analysis & Designing Testable Circuits; Testing Microprocessors, Memories and Computer Components; Test Data Compression; Fault Tolerant Hardware; Reliably vs. Availability; Redundancy and Error Correcting Codes.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: ECEC 511 [Min Grade: C] and ECEC 512 [Min Grade: C]

ECEC 520 Dependable Computing 3.0 Credits

Fundamental design issues involved in building reliable, safety-critical, and highly available systems. Topics include testing and fault-tolerant design of VLSI circuits, hardware and software fault tolerance, information redundancy, and fault-tolerant distributed systems.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit

ECEC 541 Robotic Computer Interface Controls I 3.0 Credits

Covers sensors, actuators, mechanical components of robots, kinematics, inverse kinematics, dynamics, and equations of motion.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit

ECEC 542 Robotic Computer Interface Controls II 3.0 Credits

Covers the robot control problem, including PD, PID, position, force and hybrid controllers, resolved rate and acceleration control, and multiprocessor architecture.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: ECES 641 [Min Grade: C] and ECES 643 [Min Grade: C] and ECEC 541 [Min Grade: C]

ECEC 543 Robotic Computer Interface Controls III 3.0 Credits

Covers non-linear control techniques, FLDT, and advanced topics.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: ECEC 542 [Min Grade: C]

ECEC 600 Fundamentals of Computer Networks 3.0 Credits

Fundamentals design principles of ATM, Internet and local area networks; protocol layers and the Internet Architecture; medium access protocols; application protocols and TCP/IP utilities; basic principles and virtual circuit switching; naming and addressing; flow and congestion control protocols; routing algorithms; Quality-of-Service in computer networks; security issues in networks.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit

ECEC 621 High Performance Computer Architecture 3.0 Credits

Maximizing single processor performance. Concepts and techniques for design of computer systems. Processor design, instruction set architecture design and implementation, memory hierarchy, pipelines processors, bus bandwidth, processor/memory interconnections, cache memory, virtual memory, advanced I/O systems, performance evaluation.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit

ECEC 622 Parallel Computer Architecture 3.0 Credits

Advanced techniques of computer design. Use of parallel processing to achieve high performance levels. Fine and coarse grained parallelism. Multiple CPU parallelism, through multiprocessors, array and vector processors. Dataflow architectures and special purpose processors. Design implications of memory latency and bandwidth limitations. Speedup problems.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: ECEC 621 [Min Grade: C]

ECEC 623 Advanced Topics in Computer Architecture 3.0 Credits

This course teaches advanced concepts of modern computer architecture and introduces the current challenges faced by computer architects. These challenges include power consumption, transistor variability, and processor heterogeneity. Students develop their research skills through a self directed research project with a final presentation and conference style writeup.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: ECEC 621 [Min Grade: C]

ECEC 631 Principles of Computer Networking 3.0 Credits

Principles of circuit switching, packet switching and virtual circuits; protocol layering; application layer protocols for e-mail and web applications; naming and addressing; flow control and congestion avoidance with TCP; Internet Protocol (IP); routing algorithms; router architectures; multicast protocols; local area network technologies and protocols; issues in multimedia transmissions; scheduling and policing; Quality-of-Service and emerging Internet service architectures; principles of cryptography.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit

ECEC 632 Performance Analysis of Computer Networks 3.0 Credits

Covers probability theory and its applications to networks, random variable and random processes; Markov chains, multi-dimensional Markov chains; M/M/1, M/M/m, M/M/m/m, M/G/1 and G/G/1 queueing systems and their applications in computer networks; analysis of networks of queues: Kleinrock Independence Approximation; Time-reversibility and Burke's theorem; Jackson's theorem; the phenomenon of long-range dependence and its implications in network design and traffic engineering.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: ECEC 631 [Min Grade: C]

ECEC 633 Advanced Topics in Computer Networking 3.0 Credits

perspectives in the areas of switch/router architectures, scheduling for best-effort and guaranteed services, QoS mechanisms and architectures, web protocols and applications, network interface design, optical networking, and network economics. The course also includes a research project in computer networking involving literature survey, critical analysis, and finally, an original and novel research contribution.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: ECEC 631 [Min Grade: C] and ECEC 632 [Min Grade: C]

ECEC 654 Knowledge Engineering I 3.0 Credits

Covers conceptual modeling, including an overview of knowledge representation. Includes semantic networks, reduced semantic networks, logic of incomplete knowledge bases, extensional semantic networks, and applications of conceptual models.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit

ECEC 655 Knowledge Engineering II 3.0 Credits

Covers expert systems, including language and tools of knowledge engineering. Includes reasoning about reasoning, design and evaluation, heuristics in expert systems, expert systems for decision support, and expert systems in conceptual design.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: ECEC 654 [Min Grade: C]

ECEC 656 Knowledge Engineering III 3.0 Credits

Covers information-intensive systems, including information representation in autonomous systems. Includes clauses and their validation; clustering in linguistic structures; linguistic and pictorial knowledge bases; discovery in mathematics, including am; and methods of new knowledge generation.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: ECEC 655 [Min Grade: C]

ECEC 661 VLSI Design 3.0 Credits

Covers CMOS design styles, techniques, and performance; VLSI computer hardware, arithmetic units, and signal processing systems; and cat tools for layout design and simulation.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit

ECEC 662 VLSI Array Processors I 3.0 Credits

Covers VLSI testing, including design for testability and parallel computer architectures; signal and image processing algorithms and mapping algorithms onto array structures; and systolic array processors.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: ECEC 661 [Min Grade: C]

ECEC 663 VLSI Array Processors II 3.0 Credits

Covers wavefront array processors; matching hardware to arrays; hardware design, systems design, and fault-tolerant design; and implementations and VLSI design projects.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: ECEC 662 [Min Grade: C]

ECEC 671 Electronic Design Automation for VLSI Circuits I 3.0 Credits

This course focuses on the electronic design automation problems in the design process of VLSI integrated circuits. In this first quarter of the course, algorithms, techniques and heuristics structuring the foundations of contemporary VLSI CAD tools are presented. Boolean algebra, graph theory, logic minimization and satisfiability topics are presented.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit

ECEC 672 Electronic Design Automation for VLSI Circuits II 3.0 Credits

This course focuses on the electronic design automation problems in the design process of VLSI integrated circuits. In this second quarter of the course, physical VLSI design steps of technology mapping, floor planning, placement, routing and timing and presented individual and team-based small-to-medium scale programming projects are assigned.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: ECEC 671 [Min Grade: C]

ECEC 673 Deep Sub-Micron Integrated Circuit Design 3.0 Credits

This course focuses on the design challenges of digital VLSI integrated circuits in deep sub-micron manufacturing technologies. Automation challenges and high-performance circuit design techniques such as low-power and variation-aware design are presented. The course material is delivered in a lecture format structured on recent presentations, articles, and tutorials.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: ECEC 671 [Min Grade: C]

ECEC 690 Special Topics Computer Engineering 9.0 Credits

Covers special topics of interest to students and faculty.

College/Department: College of Engineering
Repeat Status: Can be repeated multiple times for credit

ECEC 697 Research in Computer Engineering 1.0-12.0 Credit

Research in computer engineering.

College/Department: College of Engineering
Repeat Status: Can be repeated multiple times for credit

ECEC 699 Supervised Study in Computer Engineering 9.0 Credits

Supervised study in computer engineering.

College/Department: College of Engineering
Repeat Status: Can be repeated multiple times for credit

ECEC 890 Advanced Special Topics in Computer Engineering 1.0-9.0 Credit

Covers advanced special topics of interest to students and faculty.

College/Department: College of Engineering
Repeat Status: Can be repeated multiple times for credit

ECEC 891 Advanced Topics in Computer Engineering 0.5-9.0 Credits

Advanced topics in computer engineering.

College/Department: College of Engineering
Repeat Status: Can be repeated multiple times for credit

ECEC 898 Master's Thesis in Computer Engineering 1.0-12.0 Credit

Master's thesis in computer engineering.

College/Department: College of Engineering
Repeat Status: Can be repeated multiple times for credit

ECEC 997 Dissertation Research in Computer Engineering 1.0-12.0 Credit

Graded Ph.D. dissertation in computer engineering.

College/Department: College of Engineering
Repeat Status: Can be repeated multiple times for credit

ECEC 998 Ph.D. Dissertation in Computer Engineering 1.0-12.0 Credit

Ph.D. dissertation in computer engineering.

College/Department: College of Engineering
Repeat Status: Can be repeated multiple times for credit

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