Intermediate Machine Learning (SDS 365):
GitHub link: https://github.com/jacoblgit/coursework/tree/e43ed46f759cd4836704290fc7f735db834f88ff/SDS365_MachineLearning
Convolutional Neural Net., Gaussian Process, Double Descent
Variational Autoencoder, Graphical Lasso
Graph Kernel, Reinforcement Learning
Recurrent Neural Net., Gated Recurrent Unit, Transformers
Datastructures and Programming Techniques (CPSC 223)
GitHub link: https://github.com/jacoblgit/coursework/tree/8921b7fd3e80aa2ec5385960afc87d5531936eab/CPSC223_DataStructuresAndAlgorithms
C using GNU toolchain on Linux, and debugging with GDB & valgrindLinked Lists, Stacks, Priority Queues, Maps, Hash Tables, Trees, Heaps
Directed & Undirected Graphs, Dijkstra's Algorithm
Algorithms (CPSC 365)
Proving Correctness, (Amortized) Time Complexity AnalysisDynamic Programming, Divide and Conquer, Reductions
Network flow, shortest paths
Randomized Algorithms
Embedded Robotic Systems (ENAS 772)
Robot Inverse/Forward Kinematics/DynamicsMotion planning, and control
Robot simulation (MuJoCo)
Other Selected Course:
Math: Multivar. Calculus, Intensive Linear Alg., Probability Theory, ODE/PDEs, Real Analysis, Statistics, Discrete
Electrical Eng: Intro Computer Engineering, Intro Electronics, Mechatronics
Mechan. Eng: Advanced Design and Analysis of Machines, Strength & Def, Thermo., Fluid Mechanics