Texas A&M University-Kingsville

Current Course Schedule

EEEN Courses  |  CSEN Courses
   
EEEN Courses
5303 Advanced Topics in Electrical Engineering. V:1-3
5304 Advanced Computer Architecture 3
5305 Graduate Research Project. 3
5306 Thesis. 3
5321 Digital Computer Design. 3(3-0)
5324 Control System Synthesis. 3(3-0)
5326 Dynamic Systems I. 3(3-0)
5327 Dynamic Systems II. 3(3-0)
5330 Rapid Prototyping and ASIC Design. 3(3-0)
5331 Digital Signal Processing. 3(3-0)
5332 Linear Electronic Circuits. 3(3-0)
5333 Principles of VLSI Circuit Design. 3(3-0)
5335 Microcomputer Based Design. 3(3-0)
5336 Computer Communication Networks. 3(3-0)
5337 Digital Image Processing. 3(3-0)
5338 Digital and DSP Based Control. 3(3-0)
5340 Speech Processing. 3(3-0)
5350 Application of Neural Networks. 3(3-0)
5401 Advanced Problems in Electrical Engineering. V:1-4

CSEN Courses

5302 Neural Computation. 3(3-0)
5303 Advanced Topics in Computer Science. V:1-3
5304 Advanced Computer Architecture. 3(3-0)
5305 Graduate Research Project. 3
5306 Thesis. 3
5313 Compiler Design. 3(3-0)
5314 Database Systems. 3(3-0)
5322 Operating Systems. 3(3-0)
5323 Computer Communication Networks. 3(3-0)
5325 Software Engineering. 3(3-0)
5333 Real Time Systems. 3(3-0)
5335 Microcomputer Based Design. 3(3-0)
5350 Application of Neural Networks. 3(3-0)
5365 Advanced Numerical Methods. 3(3-0)
5401 Advanced Problems in Computer Science. V:1-4


EEEN Course Description

5303. Advanced Topics in Electrical Engineering. V:1-3
One or more advanced topics. May be repeated when topic changes. (Credit may not be obtained in both EEEN 5303 and CSEN 5303 courses if the topic is the same.)

5304. Advanced Computer Architecture 3
Introduces the design principles of modern computers. The topics include RISC and CISC architectures, interconnection networks, multiprocessors and multicomputer systems, dataflow and systolic arrays, future outlook for architectures and the basics of parallel algorithms. Credit may not be obtained in both EEEN 5304 and CSEN 5304.

5305. Graduate Research Project. 3
A Graduate Research Project must be completed and submitted to the Graduate Office for a grade to be assigned, otherwise IP notations are recorded. This course is specifically designed for Plan II and Plan III students. Prerequisite: departmental approval.

5306. Thesis. 3
This course is for Plan I Students. The course requires 6 hours of grades, the first 3 hours consisting of completion of a thesis proposal and the last 3 hours consisting of completion of the thesis. Completion of the thesis proposal is a prerequisite for enrollment in the last 3 hours of thesis.

5321. Digital Computer Design. 3(3-0)
Register operations, arithmetic operations, control of operations, memory systems, methods of input and output. Examples of commercial systems, system design of a general purpose computer. Prerequisite: EEEN 4355.

5324. Control System Synthesis. 3(3-0)
Actuators and transducers, static and dynamic accuracy of systems, describing functions, compensation, design of typical control systems. Prerequisite: EEEN 4354.

5326. Dynamic Systems I. 3(3-0)
Mathematical analysis of engineering, dynamic systems. Modeling, simulation, transfer functions, state variables, stability of linear systems. Prerequisite: MATH 3320.

5327. Dynamic Systems II. 3(3-0)
Continuation of Dynamic Systems I. Nonlinear systems, discrete time systems, control of engineering systems, methods of optimization. Prerequisite: EEEN 5326.

5330. Rapid Prototyping and ASIC Design. 3(3-0)
Principles of electronic system design using Application-Specific Integrated Circuits (ASIC) approach: digital hardware modeling techniques using an HDL, logic simulation, logic synthesis, standard cells, gate arrays, sea of gates, bit serial hardware design methods and analog methods.
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5331. Digital Signal Processing. 3(3-0)
Digital processing of signals, z-transform, digital filters, discrete and fast Fourier transforms, power spectrum, autocorrelation, cepstrum analysis.

5332. Linear Electronic Circuits. 3(3-0)
Analysis and design of DC, video and feedback amplifiers. Frequency plane techniques. Communications, circuit design. Noise considerations.

5333. Principles of VLSI Circuit Design. 3(3-0)
Principles of design and fabrication of microelectronic circuits via Very Large Scale Integrated circuitry (VLSI), structured design methods for VLSI systems, use of computer-aided design tools, design projects of small to medium scale integrated circuits. Prerequisite: EEEN 3338 or equivalent.

5335. Microcomputer Based Design. 3(3-0)
Role of microcomputers, register and data manipulation, hardware, memory, input/output, hardware and software development, algorithmic processes. Prerequisite: CSEN 3361. (Credit may not be obtained for this course and for CSEN 5335.)

5336. Computer Communication Networks. 3(3-0)
The International Standards Organization (ISO) Open Systems Interconnection (OSI) model as a framework for the study of computer communication networks. Data communication. Functions and protocols of physical layer, medium access sublayer, link layer, network layer and transport layer. Case studies. ISDN. Prerequisite: graduate standing in computer science or electrical engineering.

5337. Digital Image Processing. 3(3-0)
Introduces the computer vision systems. Topics include edge detection, spatial-domain processing, frequency-domain processing, color processing, texture analysis, shape analysis and making movies from a deck of frames.

5338. Digital and DSP Based Control. 3(3-0)
Classical and modern control analysis and design methods and techniques. Topics include discrete control system analysis, sampled data systems, discrete equivalents of continuous systems, design using transform techniques, design using state-space methods and the real-time control of dynamic systems using digital computers and micro-controllers. Prerequisite: EEEN 4354 or consent of instructor.

5340. Speech Processing. 3(3-0)
Fundamentals of digital signal processing, waveform coding, speech spectrum, voice coders, linear predictive coding, speech recognition, adaptive noise cancellation and multirate signal processing.

5350. Application of Neural Networks. 3(3-0)
Includes a review of network architectures, perceptron, linear networks, back-propagation and radial basis networks. A realtime
laboratory experience in seeing the application of neural networks. Prerequisite: graduate standing in Computer Science. (Credit may not be obtained in both EEEN 5350 and CSEN 5350.)

5401. Advanced Problems in Electrical Engineering. V:1-4
Individual or group research on advanced problems conducted under the supervision of a faculty member. Maximum credit 8 semester hours.

To earn graduate credit for any undergraduate course authorized in the graduate catalog, the student must complete an extra assignment of graduate level quality that is not required of undergraduate students. The following undergraduate advanced courses have been approved by the Graduate Council for graduate credit: EEEN 4329. Communications ngineering. EEEN 4354. Linear Control Systems. EEEN 4355. Digital Systems Engineering. EEEN 4356. Data Acquisition Systems.

CSEN Course Description

5302. Neural Computation. 3(3-0)
Basic concepts of neural computation. Theory of neural computation. Architecture and implementation of neural networks. Neural network implementation of pattern recognition algorithms. Neural network implementation of intelligent control systems. Prerequisite: graduate standing in computer science or another engineering discipline.

5303. Advanced Topics in Computer Science. V:1-3
One or more advanced topics. May be repeated when topic changes. (Credit may not be obtained for both CSEN 5303 and EEEN 5303 courses if the topic is the same.)

5304. Advanced Computer Architecture. 3(3-0)
Introduces the design principles of modern computers. The topics include RISC and CISC architecture, interconnection networks, multiprocessors and multicomputer systems, dataflow and systolic arrays, future outlook for architectures and the basics of parallel algorithms. Credit may not be obtained in both CSEN 5304 and EEEN 5304.

5305. Graduate Research Project. 3
A Graduate Research Project must be completed and submitted to the Graduate Office for a grade to be assigned, otherwise IP notations are recorded. This course is specifically designed for Plan II and Plan III students. Prerequisite: departmental approval.

5306. Thesis. 3
This course is for Plan I Students. The course requires 6 hours of grades, the first 3 hours consisting of completion of a thesis proposal and the last 3 hours consisting of completion of the thesis. Completion of the thesis proposal is a prerequisite for enrollment in the last 3 hours of thesis.

5313. Compiler Design. 3(3-0)
This course introduces the structure of a compiler and the various techniques used for designing a compiler. Topics include grammars, parsing methods, implementation details and translator writing systems. Prerequisite: CSEN 4366.

5314. Database Systems. 3(3-0)
Basic concepts and architecture of database systems, ER model, relational model, relational algebra, SQL, ER-to-rational mapping, functional dependencies normalization, database design process, object-oriented database. Distributed database. Prerequisite: graduate standing in computer science or another engineering discipline.

5322. Operating Systems. 3(3-0)
Operating systems principles; procedures and their implementation; protection, concurrent, cooperating and communicating processes; storage management; resource allocation; scheduling; file systems; and system design issues. Prerequisite: CSEN 4362.

5323. Computer Communication Networks. 3(3-0)
The International Standards Organization (ISO) Open Systems Interconnection (OSI) model as a framework for the study of computer communication networks. Data communication. Functions and protocols of physical layer, medium access sublayer, link layer, network layer and transport layer. Case studies. ISDN. Prerequisite: graduate standing in computer science or electrical engineering.

5325. Software Engineering 3(3-0)
Covers development life-cycle models, inspection process, software quality metrics, testing, validation metrics, estimation and scheduling. Prerequisite: graduate standing in engineering.

5333. Real Time Systems. 3(3-0)
Characteristics of systems and techniques used in real time computer applications. Scheduling theory, verification and design techniques including simulation and probablistic models. Prerequisite: graduate standing.

5335. Microcomputer Based Design. 3(3-0)
Role of microcomputers, register and data manipulation, hardware, memory, input/output, hardware and software development, algorithmic processes. (Credit may not be obtained for both this course and EEEN 5335.) Prerequisite: CSEN 2330.

5350. Application of Neural Networks. 3(3-0)
Includes a review of network architectures, perceptron, linear networks, back-propagation and radial basis networks. A real1 12 time laboratory experience in seeing the application of neural networks. Prerequisite: graduate standing in Computer Science. (Credit may not be obtained in both CSEN 5350 and EEEN 5350.)

5365. Advanced Numerical Methods. 3(3-0)
Numerical differentiation and integration. Numerical solutions of ordinary and partial differential equations. Prerequisites: CSEN 4363, MATH 3315 and MATH 3320.

5401. Advanced Problems in Computer Science. V:1-4
Individual or group research on advanced problems conducted under the supervision of a faculty member. Maximum credit 8 semester hours.

To earn graduate credit for any undergraduate course authorized in the graduate catalog, the student must complete an extra assignment of graduate level quality that is not required of undergraduate students. The following advanced undergraduate courses have been approved by the Graduate Council for graduate credit: CSEN 4361. System Software. CSEN 4362. Operating Systems. CSEN 4363. Advanced Numerical Methods. CSEN 4366. Programming Languages

This page was last updated on: June 11, 2014