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Course Criteria
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3.00 Credits
[3 hours] Introduction to Fuzzy Rule Based Intelligent Systems. Basic Concepts of Fuzzy logic, Fuzzy Sets, Fuzzy Arithmetic, Fuzzy Relations, Fuzzy Graphs, Approximate Reasoning and Fuzzy Implications. Applications in Real World Domains. Prerequisite: EECS 2110.
Prerequisite:
EECS 2110 FOR LEVEL UG WITH MIN. GRADE OF D-
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4.00 Credits
The design of digital systems, design methodologies, hardware description language such as VHDL: behavioral-, data flow- and structural-level description of digital systems. Implementation technologies including PLDs and FPGAs.
Prerequisite:
EECS 2110 FOR LEVEL UG WITH MIN. GRADE OF D-
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3.00 Credits
Programming applications in a real-time environment. C language is used to program various microcontroller functions, including timers, A/D and D/A converters, RS-232 communication and CAN networking.
Prerequisite:
EECS 3100 FOR LEVEL UG WITH MIN. GRADE OF D-
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3.00 Credits
Feedback methods for the control of dynamic systems. Topics include characteristics and performance of feedback systems, state variable analysis, stability, root locus and frequency response methods and computer simulation.
Prerequisite:
EECS 3220 FOR LEVEL UG WITH MIN. GRADE OF D-
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3.00 Credits
An introduction to programmable logic controllers (PLCs), process control algorithms, interfacing of sensors and other I/O devices, simulation and networking.
Prerequisite:
(EECS 1100 FOR LEVEL UG WITH MIN. GRADE OF D- AND EECS 3210 FOR LEVEL UG WITH MIN. GRADE OF D-)
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3.00 Credits
Single line diagrams and per unit calculations, network matrices and Y-bus, load flow techniques, large system loss formula, real and reactive power dispatch, power system relays and protection.
Prerequisite:
EECS 3460 FOR LEVEL UG WITH MIN. GRADE OF D-
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3.00 Credits
A general study of computer-aided design of control systems. Topics include: stability, compensation, pole placement, nonlinear systems and digital systems.
Prerequisite:
EECS 4200 FOR LEVEL UG WITH MIN. GRADE OF D-
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3.00 Credits
Imaging geometry, image filtering, segmentation techniques, image representation and description, stereo vision and depth measurements, texture analysis, dynamic vision and motion analysis, matching and recognition.
Prerequisite:
EECS 3300 FOR LEVEL UG WITH MIN. GRADE OF D-
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3.00 Credits
Fourier transform applications in signal analysis and communication. Signals spectra, filtering, AM and FM modulation, noise and optimum receiver, sampling theorem, multiplexing, PCM, introduction to digital modulators and demodulators.
Prerequisite:
EECS 3300 FOR LEVEL UG WITH MIN. GRADE OF D-
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3.00 Credits
Coding concepts, Huffman code, entropy analysis, channel and mutual information, channel capacity and Shannon's theorem, algebraic coding theory and application to blockcode and cyclic code, introduction to convolutional code.
Prerequisite:
EECS 3300 FOR LEVEL UG WITH MIN. GRADE OF D-
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