Coursework
Keeping a living record of current classes, what I've completed before, and what I'm planning to take on.
We will explore modern software development practices and methodologies in a team based semester-long project setting.
Building an Android application with a team of 4 people, using version control, APIs, backend integration, frontend optimization, testing, and collaborative software workflows.
Introduction to Computer Architecture and Organization, instruction set design and assembly language programming, control flow instruction, procedure calls, stack management, datapath and control, processor design, memory and I/O systems
Learning assembly language programming, understanding computer architecture, and exploring the design of processors and memory systems along with data pipelining and instruction-level parallelism orders. Designing, validating and evaluating three RISC-V processors(single-cycle, software-scheduled pipeline, and hardware-scheduled pipeline) in a team of 2 by the end of the semester.
• Introduction to semiconductor technology, integrated circuit design, and digital systems.
• Modeling of IC devices including BJTs, MOSFETs,
Diodes, Thyristors etc.
• Analysis of both digital and analog building blocks
• Learn semiconductor physics, device modeling, and IC fabrication.
• Explore digital and analog circuit design, including logic gates, flip-flops, amplifiers, and filters.
• Learn physical layout, circuit simulation, digital building blocks, and digital synthesis.
• Analysis and design
of analog building blocks.
• Design and implement a complete integrated system using both digital and analog components by end of semester.
• Structure, operation and economic optimization of energy systems
• Inductors, transformers, and power converters
• Power electronics applications in energy systems
• Learn system operations and their variations
• Mutual inductance, synchronous generators, and three phase circuit analysis and power calculations
• Network calculations, power flow and associated numerical methods
• Two-port circuits, voltage regulation, resonance and power factor correction
• Power electronics applications in power supplies and motor drives
• Multivariable calculus, including partial derivatives, multiple integrals, and vector calculus.
• Applications in physics, engineering, and optimization problems.
• Study the theory and application of multivariable calculus in various fields.
• Geometry of space vectors, coordinate systems
• Supply and demand, market equilibrium, and elasticity.
• Consumer and producer surplus, and market efficiency.
• Resource allocation, competition and economic strategic behavior
• Learning about the principles of microeconomics, including supply and demand, market equilibrium, elasticity, consumer and producer surplus, and market efficiency.
• Exploring resource allocation, opportunity costs, comparative and absolute advantage.
• Marginal analysis, theories of production and consumption, and market structures.
• Understanding the role of government in microeconomics, including taxation, regulation, and public goods.
Introduction to embedded systems design and programming. Built a implementation of a underwater mine clearing bot using TM4C123GH6PM MCU, sensors including IR, Sonar, Bump etc. and a working live monitoring system. The chassis was a iRobot Roomba, with the whole system including both an Automatic and a Manual mode.
Systems of Linear Equations, Vector Spaces, Linear Transformations, Eigenvalues and Eigenvectors, Orthogonality, and Applications in Engineering and Computer Science.
Frequency domain characterization, transfer functions, sinusoidal steady-state analysis, and circuit design. Time domain models of linear and nonlinear circuits. OpAmps, A/D and D/A converters, filters, diodes characteristics and model analysis. Built a three phase audio crossover as a final project.
Soft skills, including communication, teamwork, and ethical decision-making in engineering practice. Case studies and real-world applications illustrating ethical decision making in an engineering context.
Propositional logic and methods of proof, basic discrete mathematics, and algorithmic thinking. Mathematical induction and recurrence relations, functions and relations. Trees and graphs, and their applications in computer engineering.
Electric forces and fields, magnetic fields and forces, electromagnetic induction. Circuits and resonance.
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Include any additional math courses that have contributed to your engineering knowledge.
List any further electrical engineering courses that are significant to your skill set.
Use this section as a compact record of your technical progression.
Include any relevant math courses that support your engineering skills.
Highlight any additional electrical engineering courses that demonstrate your expertise.
Showcase any other computer engineering courses that are relevant to your portfolio.
Include any additional math courses that have contributed to your engineering knowledge.
List any further electrical engineering courses that are significant to your skill set.
Planned courses will be added here.