Classes
Foundation of Electrical Engineering
Course Description:Introduction to the theory, analysis and design of electric circuits. Voltage, current, power, energy, resistance, capacitance, inductance. Kirchhoff's laws node analysis, mesh analysis, Thevenin's theorem, Norton's theorem, steady state and transient analysis, AC, DC, phasors, operational amplifiers, transfer functions.
Course Description:Mathematical description and classification of various signals and systems: introduction to mathematical software packages (e.g. MATLAB), continuous linear time-invariant systems, convolution and correlation, Fourier series, Laplace and z-transform, impulse and pulse responses, step responses, frequency responses. Filters, Introduction to feedback control including concepts of stability and robustness.
BIO 103 - Introduction to Biology
this course will concentrate on the quantitative aspects of human biology, including biochemistry, cell biology, molecular physiology and genetics. emphasis will be placed on molecular mechanisms of cellular process-such as signal transduction, differential gene expression or self recognition that underline and control pivotal physiological functions of the human organism.
Course Description:The course teaches the analysis and synthesis of continuous and sampled-data linear feedback control systems, and its application to a variety of physical systems.
Course Description:The course teaches the design and analysis of interconnected networks of lumped circuit elements.
Course Description:EE 490 course intends to tackle a challenging design project that involves the use of engineering interdisciplinary skills with specific emphasis on the field of electrical/electronic engineering. It also attempts to enhance students’ ability to bridge the analytical knowledge gained from EE curriculum and real-world applications of electrical/electronic technologies. The course emphasizes practical experience, and integrates analytical and design skills. Students will develop skills in design problem solving, creative thinking, project planning, and teamwork, as well as developing technical and practical skills in the particular areas covered by their projects. They are expected to work collaboratively in teams approved by EE department, and under direct supervision of an EE faculty member.