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This course is aimed at upper-level undergraduates and graduate students interested in designing, developing and understanding biologically interfaced electronic systems focused on biosensing and drug delivery. We will explore theoretical foundations and technological advancements that underpin several established and emergent medical technologies such as brain machine interfaces, biohybrid electronic systems, continuous glucose monitors, cardiac pacemakers, visual prostheses, DNA sequencing and wearables.

Emphasis is on applications in modern devices and systems. Topics include: Schroedinger's equation, eigenfunctions and eigenvalues, solutions of simple problems including quantum wells and tunneling, quantum harmonic oscillator, coherent states, operator approach to quantum mechanics, Dirac notation, angular momentum, hydrogen atom, calculation techniques including matrix diagonalization, perturbation theory, variational method, and time-dependent perturbation theory with applications to optical absorption, nonlinear optical coefficients, and Fermi's golden rule.

Continuation of 222, including more advanced topics: quantum mechanics of crystalline materials, methods for one-dimensional problems, spin, systems of identical particles (bosons and fermions), introductory quantum optics (electromagnetic field quantization, coherent states), fermion annihilation and creation operators, interaction of different kinds of particles (spontaneous emission, optical absorption, and stimulated emission). Quantum information and interpretation of quantum mechanics. Other topics in electronics, optoelectronics, optics, and quantum information science.

Introduction to quantum control, dynamics, and information processing, aimed at graduate students and advanced undergraduate students. Prerequisites include knowledge of quantum mechanics, linear algebra, and statistical analysis. The course will provide an overview of both the fundamentals and state-of-the-art techniques in the area of quantum engineering. Topics include qubits and operators, modeling and numerical analysis of open quantum systems, quantum control protocols, average Hamiltonian theory, dynamical decoupling, quantum device benchmarking, different quantum platforms and their applications.

The course covers state-of-the-art and emerging bio-sensors, bio-chips, imaging modalities, and nano-therapies which will be studied in the context of human physiology including the nervous system, circulatory system and immune system. Medical diagnostics will be divided into bio-chips (in-vitro diagnostics) and medical and molecular imaging (in-vivo imaging). In-depth discussion on cancer and cardiovascular diseases and the role of diagnostics and nano-therapies.

Robot Perception is the cornerstone of modern robotics, enabling machines to interpret, understand, and respond to an array of sensory information they encounter. In the course, students will study the basic principles of typical sensor hardware on a robotics system (e.g., vision, tactile, and acoustic sensors), the algorithms that process the raw sensory data, and make actionable decisions from that information. Over the course of the semester, students will incrementally build their own vision-based robotics system in simulation via a series of homework coding assignments. Students enrolling 4 units will be required to submit an additional final written report. Prerequisites: This course requires programming experience in python as well as basic knowledge of linear algebra. Most of the required mathematical concepts will be reviewed, but it will be assumed that students have strong programming skills. All the homework requires extensive programming.

Solid state devices have driven widespread technological revolution and are ubiquitous in our daily lives. We study the physics of solid state materials, enabling a complete understanding from the atom to the device. Topics include: energy band theory of solids; heterostructures and low-dimensional structures for bandgap engineering; electrons, holes, densities of states and relation to absorption and gain; and semiconductor statistics determining equilibrium and non-equilibrium carrier distributions. We explain how these principles govern the operation of modern devices, including transistors, light-emitting diodes and solar cells.

The purpose of this course is to provide an introduction to the physics, systems, processing, and analysis of ice penetrating radar, preparing students to use it as a quantitative research tool. Target students are graduates or advanced undergraduates in geophysics, glaciology, planetary science, or engineering with an interest in the use of radar to study glaciers, ice sheets, or icy planets.

Design, testing, and applications of Radio Frequency (RF) electronics: Amplitude Modulation (AM), Frequency Modulation (FM) and concepts of Software Define Radio (SDR) systems. Practical aspects of circuit implementations are developed; labs involve building and characterization of subsystems as well as integration of a complete radio system and a final project. Total enrollment limited to 30 students, undergraduate and graduate levels. Undergraduate students should enroll in EE1 33 for 4 units and graduate students should enroll in EE 233 for 3 units.