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Entry-level graduate course taught by ISS faculty:
- SC501: Dynamic Systems Theory. Introduction to analytical concepts and examples of dynamic systems and control. Mathematical description and state-space formulation of dynamic systems: discrete and continuous time, non-linear and linear. Concepts of controllability, reachability, observability. Eigenvector and transform analysis of linear time invariant systems. Modeling, canonical forms for linear systems, pole shifting, computer control, hands-on experience with the design of controllers and observers, introduction to stability. Prereq: familiarity with differential equations and matrices.
- SC505: Stochastic Processes, Detection and Estimation. Introduction to discrete and continuous-time random processes. Correlation and power spectral density functions; linear systems ms driven by random processes. Optimum detection and estimation. Applications of Poisson and discrete Markov processes.
- SC508: Process Control. Integrated study of process control and modern control theory. Includes process modeling and simulation, analysis of linear and nonlinear dynamics, actuator and measurement evaluation and selection, control structure design for single and multiple variable systems, and control algorithm design. Examples drawn from a variety of process control applications, including welding, sheet metal fabrication, crystal growth, and plasma processes. Students cannot receive credit for both SC508 and MN508.
- SC515: Digital Communication. Introductory graduate level course with a focus on signal processing in communication systems. The topics covered include signal detection and design, intersymbol interference, equalization, decision feedback equalization, sequential and block encoders, viterbi decoding.
- SC516: Digital Signal Processing. Advanced structures and techniques for digital signal processing and their properties in relation to application requirements such as real-time, low-bandwidth, and low-power operation. Optimal FIR filter design; time-dependent Fourier transform and filter banks; Hilbert transform relations; cepstral analysis and deconvolution; parametric signal modeling; multidimensional signal processing; multirate signal processing.
- SC520: Digital Image Processing and Communication. Review of signals and systems in multiple dimensions. Sampling of still images. Quantization of image intensities. Human visual system. Image color spaces. Image models and transformations. Image enhancement and restoration. Image analysis. Image compression fundamentals. Image compression standards (JPEG, JPEG-2000). Homework will include Matlab assignments.
- SC546: Computer Communication and Networks. Control of data transmission over communication lines. The OSI layered network protocol, network topology, channel access, packet switching, and routing. Broadcast networks.
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