Engineering Coursework

My coursework spans mechanical engineering, electrical engineering, computer science, and design. Below are the technical courses that shaped my engineering foundation, along with the tools, skills, and practical experience gained from each.

Introduction to Machining

• Project-based course focused on independent machining of mechanical components.
• Learned manual lathe operation through machining threaded rods for a scissor jack.
• Used CNC mills to fabricate acrylic components; developed skills in fixturing and tool offsetting.
• Designed parts for 3D printing and became familiar with fabrication policies and lab workflows.
• Gained hands-on experience with hand tools, saws, drill presses, and sanders with an emphasis on machine safety.
• Learned/Developed: CAM programming with Fusion360, multi-tool g-code generation, machining workflow planning, and fabrication documentation.

Tools & Technologies

• Software: SolidWorks, Fusion360 CAM
• Skills: Manual Lathe, CNC Mill, 3D Printing, Water Jetting, Laser Cutting, Tool Path Planning

Introduction to Electrical Engineering

• Covered fundamentals of circuits: voltage, current, KCL/KVL, resistors, capacitors, inductors.
• Analyzed DC and AC steady-state systems, transient response, op-amp circuits, and frequency response.
• Worked with combinational and sequential logic: logic gates, latches, flip-flops, counters, and memory.
• Lab work included using oscilloscopes, waveform generators, LTSpice simulation, and Logicly for digital systems.
• Learned/Developed: Circuit modeling, op-amp design, filter design, transient analysis, and digital logic implementation.

Tools & Technologies

• Software: LTSpice, Logicly
• Skills: Circuit Analysis, Oscilloscope Use, Simulation, Digital Logic Design

Mechanics of Solids

• Studied stress/strain tensors, equilibrium, Hooke’s law, shear stress, and principal stresses.
• Performed finite element analysis on mechanical components using SolidWorks.
• Learned static failure theories, fatigue, and safety factor design.
• Applied theory to mechanical design problems relevant to motorsport and structural engineering.
• Learned/Developed: FEA, stress analysis, chassis design considerations, and material selection for mechanical systems.

Tools & Technologies

• Software: SolidWorks (FEA module)
• Skills: Finite Element Analysis, Mechanical Design, Stress Modeling

Mechanics of Fluids

• Covered fluid properties, statics, control volumes, and kinematics of fluid motion.
• Learned conservation of mass and momentum, Navier-Stokes equations, laminar/turbulent flows.
• Analyzed internal and external flows, drag, lift, and pressure distributions.
• Completed a CFD project (Tesla valve design) involving modeling and simulation.
• Learned/Developed: CFD fundamentals, flow modeling, Bernoulli applications, dimensional analysis.

Tools & Technologies

• Software: SolidWorks, ANSYS, MATLAB
• Skills: CFD, Fluid Dynamics Modeling, Dimensional Analysis, FLuid Analysis

Thermodynamics

• Studied the First and Second Laws, energy analysis, and entropy.
• Analyzed vapor compression refrigeration cycles and gas power cycles.
• Learned psychrometry and HVAC load calculations.
• Computed thermodynamic properties using tables, charts, and Python (CoolProp).
• Software: Python
• Learned/Developed: Cycle analysis, state diagrams, refrigeration and power cycle modeling, HVAC fundamentals.

Computer Graphics & Design (CAD)

• Developed visualization and sketching skills for mechanical design.
• Learned engineering drawing conventions: multiviews, dimensioning, tolerancing, sections, and assemblies.
• Became proficient in CAD modeling and technical drawing creation.
• Completed a reverse-engineering design project to recreate and document an existing product.
• Learned/Developed: Technical sketching, CAD modeling, drafting standards, assembly documentation.

Tools & Technologies

• Software: SolidWorks
• Skills: 3D Modeling, Technical Drawings, GD&T Principles

Data Structures in Java

• Learned fundamentals of algorithms, recursion, and Big-O runtime analysis.
• Implemented data structures: linked lists, stacks, queues, trees, heaps, graphs, and hash tables.
• Implemented classic sorting algorithms: merge sort, quicksort, heap sort, etc.
• Studied graph traversal, Dijkstra’s algorithm, MSTs (Kruskal/Prim), and NP-complete problems.
• Learned/Developed: Java programming, algorithmic thinking, problem-solving, and data structure implementation.

Tools & Technologies

• Software: Java, IntelliJ / VSCode
• Skills: Object-oriented programming, algorithm design, data structure implementation