Mathematical models for analog circuit elements. Basic circuit laws and network theorems applied to dc, transient, and steady-state response of first- and second-order circuits. Modeling circuit responses using differential equations and the Laplace transform. Solving RLC networks in both the time and frequency domains. Computer projects and circuit simulations using MATLAB, Excel, and PSpice. Limited to EE and CSE majors. Prerequisites: MATH 132, PHYSIC 151. Corequisite: MATH 331.

Mathematical models for analog circuit elements. Basic circuit laws and network theorems applied to dc, transient, and steady-state response of first- and second-order circuits. Modeling circuit responses using differential equations and the Laplace transform. Solving RLC networks in both the time and frequency domains. Computer projects and circuit simulations using MATLAB, Excel, and PSpice. Limited to EE and CSE majors. Prerequisites: MATH 132, PHYSIC 151. Corequisite: MATH 331.

Time domain and frequency domain analysis and synthesis techniques for linear continuous-time feedback control systems. Topics include benefits and costs of feedback, modeling of dynamic systems,steady-state and transient performance, stability, PID control, root locus, frequency response, Nyquist stability cri-terion, and introduction to loop-shaping. Prerequisite: E&C-313

With discussions and lab. Use of nonlinear devices such as diodes, field effect transistors (FETs), and bipolar junction transistors (BJTs) in the design of simple analog and digital circuits. Design projects make use of PSPICE. Prerequisites: grades of C or better in E&C-ENG 212 and 221.

With discussions and lab. Use of nonlinear devices such as diodes, field effect transistors (FETs), and bipolar junction transistors (BJTs) in the design of simple analog and digital circuits. Design projects make use of PSPICE. Prerequisites: grades of C or better in E&C-ENG 212 and 221.

Data structures course using the Java programming language. Basic mathematical, logical, and programming concepts relevant to description and manipulation of information structures such as arrays, lists, trees, graphs, and files; the underlying principles of algorithm design and analysis applied to sorting and searching problems. Prerequisite: grade of C or better in E&C-ENG 122, 201 or equivalent.

Data structures course using the Java programming language. Basic mathematical, logical, and programming concepts relevant to description and manipulation of information structures such as arrays, lists, trees, graphs, and files; the underlying principles of algorithm design and analysis applied to sorting and searching problems. Prerequisite: grade of C or better in E&C-ENG 122, 201 or equivalent.

Data structures course using the Java programming language. Basic mathematical, logical, and programming concepts relevant to description and manipulation of information structures such as arrays, lists, trees, graphs, and files; the underlying principles of algorithm design and analysis applied to sorting and searching problems. Prerequisite: grade of C or better in E&C-ENG 122, 201 or equivalent.

This course is designed to enhance the knowledge base and analytical skills of engineering graduate students whose major interests are in geotechnical engineering and civil infrastructure materials. It can also be a selective for graduate students from geology (geosciences) and soil sciences. Major topics include the fundamentals of clay mineralogy, the mechanical and engineering properties of clay minerals, and a suite of micro/nano characterization techniques for clay minerals and other fine-grained geomaterials.

Transport of fluids and constituents in environmental systems. Advection, diffusion, dispersion, zero and first-order reaction kinetics and equilibrium partitioning processes. Mathematical models solved with analytical and numerical methods. Multi-scale application to surface and subsurface waters and the atmosphere.