Courses Completed

Upper-Division Courses

Using the Scrum agile framework, working to create an effective solution based on customers’ specifications

Using OpenGL to visualize scientific data, such as point clouds, contour plots, isosurfaces, and streamlines

Supervised and unsupervised learning algorithms, as well as reinforcement learning to control results

Version control, code coverage, unit testing, random testing, debugging, and test driven development

Understanding parallel architectures, programming paradigms, and algorithms

Using fragment, vertex, geometry, and tessellation shaders to generate different effects with GLSL

Probability, random variables, expectation, discrete, continuous, and multivariate distributions

Concurrent processes, job scheduling, multiprocessing, networking, file systems, and performance evaluation

Imperative, functional, object oriented, and logic programming paradigms, scoping, syntactics, and semantics

Trees, graphs, queues, vectors, stacks, heaps, linked lists, and time-complexity analysis

Coverage of the MASM language: implementing addressing, arithmetic, argument passing, and modularization

Greedy algorithms, linear and dynamic programming, P and NP problems

Knowing your audience in professionally generating emails, resumes, reports, and social media

Models of computation, including finite automata, formal grammar, and Turing machines

HTML, CSS, Javascript, handlebars, Node.js, client vs. server code

Producing clean, precise, organized, and factually based documents with relevant and pleasing visuals

Packet and circuit switching, TCP/IP and UCP protocols, data transfer, congestion control, packet forwarding

Matrix arithmetic, systems of linear equations, subspaces, eigenvalues and eigenvectors