2022-2023 Course List

Digital communication system modulation techniques. A/D conversion. Additional noise sources from sampling and encoding. Error detection and correction. Speech encoding. Data compression. Data networks. Companding. Multiplexing. Packet switching. Performance of digital baseband. Digital Signal Processing. Digital system design trade-offs.

Principles of silicon integrated circuit fabrication processes and design limitations. Process modeling, crystal growth, oxidation, implantation, diffusion, deposition. Processing of bipolar and MOS devices and circuits. Photolithography and design rules. Introduction to GaAs technology. Use of SUPREME.

Design and layout of passive and active electronic devices in silicon integrated circuits, both digital and analog. CMOS and bipolar circuit design principles will be developed. Assembly techniques and process control measurements and testing for yield control will be introduced.

This course will introduce students to nanotechnology, and focus on the atomic conduction in material leading to the fundamentals of nanoscale transistors. Models for nanoscale devices, processes, and circuit considerations in the development of integrated circuits.

Mathematical modeling of living systems. Entropy and information. Thermodynamic constraints. Feedback and feedforward mechanisms in metabolic processes. Metabolic heat generation and loss. Energy flow in living systems. Atomic and molecular bonds in biological systems. Engineering analysis of the cardiovascular, renal, immune, endocrine and nervous systems; analysis of specific disease states.

Physiological transport phenomena (intercellular, intracellular and membrane transport), strength and properties of tissue, bioelectric phenomena, muscle contraction, cardiovascular and pulmonary mechanics, design of artificial organs, diagnostic tools, therapeutic techniques in the treatment of cancer, material compatibility problems in prosthetics, and ethical dilemmas in biomedicine.

Fundamentals of RF, microwave, millimeter wave, and optical communication systems. Link power budgets. Bandwidth constraints. Phase-locked loop receivers. Matched filters. Spread spectrum communication systems. Modulation formats. Comparison of active and passive sensing systems. Signal processing.

Students will be introduced to Statistical Signal Processing. Weiner filters and Adaptive filters will be studied. Methods of steepest descent algorithm and the least squares algorithm. Applications of these filters using special purpose software for digital signal processing.

Develops analysis and design techniques for multivariable feedback systems. Definitions of poles and zeros of multivariable systems are established. Study of design methods such as LQG, Youla parametrization and H optimal control.

Regular courses offered on demand by agreement with individual faculty members on an individual basis.

Concepts of decision theory, utility theory and multi-person games. Cooperative and non-cooperative games, Nash equilibrium, zero and non-zero sum games, applications to robotics, networks, telecommunications, etc. Matrix payoff and matrix reduction methods.

This course provides an overview of the challenges and techniques used for designing,constructing and controlling autonomous mobile robots. Topics include sensing techniques and technology, probabilistic robot localization, mapping, path planning techniques, motion planning, obstacle and collision avoidance, and multi-robot control.

A course designed to upgrade the qualifications of persons on-the-job.

Alternate plan paper preparation.

Thesis research.

Design project completion and design paper preparation.

Varied topics in Electrical and Computer Engineering. May be repeated as topics change.

Thesis preparation.

An experience/project designed by the student and advisor to provide for further study of a topic or component within the realm of elementary education. Could be exploratory in nature.

An opportunity to truly research an area within elementary education to provide a more in depth understanding.

Methods for young children's visual and performing arts to enhance children's initiative, creativity, and self-esteem while focusing on fine motor development.

Advanced methods and approaches for organizing the classroom for effective instruction and for addressing more serious discipline matters.

To provide the methods and materials necessary to teach music in the elementary classroom.

This course is designed to provide necessary methods and materials for use in teaching art in the elementary classroom.

This course is designed to develop elementary teacher candidates¿ understanding of mathematics content, children¿s mathematical thinking, and creating high-cognitive demand tasks as well as cultivating an equity mindset that is needed to teach mathematics to increasing diverse student populations. This course will strengthen teacher candidates¿ understanding of number sense, place value, addition, and subtraction concepts taught in primary grade classrooms.