Digital Electronics Systems Design
Boolean logic, sequential circuits, state machines, timing, binary arithmetic, CPU organization, FPGAs, and Verilog, with extensive laboratory work.
Brown course descriptionThe foundations behind my work in circuits, digital systems, sensing, and engineering design.
Prepared for Summer 2027. All listed courses are completed or expected to be completed by the end of Spring 2027, before Summer 2027 internships.
22 courses
Boolean logic, sequential circuits, state machines, timing, binary arithmetic, CPU organization, FPGAs, and Verilog, with extensive laboratory work.
Brown course descriptionContinuous and discrete signals; sampling, filtering, modulation, Fourier/Laplace/z-transforms, state-space models, and system stability.
Brown course descriptionQuantum-mechanical principles and their applications to the electronic, thermal, and optical behavior of materials.
Brown course descriptionTransistor-level analog circuit design, semiconductor diodes and MOSFETs, noise, and sensing limits, with applications to electronic interfaces.
Brown course descriptionProcessor architecture, instruction sets, pipelining, memory systems, and I/O, with programmable-logic and hardware-description-language laboratories.
Brown course descriptionMachine organization, C/C++ systems programming, performance, operating systems, security, concurrency, and introductory distributed systems through hands-on projects.
Brown course descriptionCircuit analysis and design using time- and frequency-domain methods, transients, Fourier series, Laplace transforms, and introductory electronics.
Brown course descriptionElectric and magnetic fields, charge, current, potential, resistance, capacitance, inductance, material properties, and electromagnetic waves.
Brown course descriptionHow bonding, crystal structure, defects, and microstructure determine mechanical, electrical, and optical material properties.
Brown course descriptionStatics, particle and rigid-body motion, conservation laws, and MATLAB-based modeling, supported by team engineering design projects.
Brown course descriptionEngineering disciplines and design through hands-on modules, MATLAB programming, SolidWorks CAD, and workshop exposure.
Brown course descriptionProgram design with data structures, graph algorithms, performance analysis, multiple programming styles, and consideration of societal impacts.
Brown course descriptionProgramming with tabular and structured data, program evaluation, introductory data science, and the social implications of digital information.
Brown course descriptionProbability, random variables, expectation, limit theorems, estimation, confidence intervals, hypothesis tests, and linear regression.
Brown course descriptionModeling practical problems with differential equations and solving them using analytical, numerical, and qualitative methods.
Brown course descriptionLinear systems, vector spaces, bases, transformations, matrices, eigenvalues, and eigenvectors, with applications across mathematical models.
Brown course descriptionThree-dimensional geometry, partial derivatives, constrained optimization, multiple and surface integrals, and vector-calculus theorems.
Brown course descriptionIntegration techniques and applications, sequences, series, power series, parametric equations, and polar coordinates for physics and engineering.
Brown course descriptionDecision analysis, forecasting, scheduling, time value of money, manufacturing strategy, and management decisions involving technology.
Brown course descriptionInterdisciplinary product development, combining engineering, design, communication, and business strategy to understand how technologies reach broad adoption.
Brown course descriptionDeductive reasoning through sentential logic, deduction, quantification, and predication.
Brown course descriptionProblem-solving and teaching strategies for STEM learning, communication, and the investigation of teaching practices.
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Brief summaries adapted from Brown’s University Bulletin. Completed and in-progress status reflects my academic record as of Fall 2026. Spring 2027 courses are planned, with completion expected before Summer 2027 internships.