Academia

Here is a list of all the core courses I have taken at UC Berkeley. All the computer science courses I've taken have been open-sourced, with lecture slides, assignments, and project specs publicly posted. So feel free to view them by clicking on the course number!

Computer Science 61A: Structure and Interpretation of Computer Programs
Computer Science 61BL: Data Structures and Programming Methodology
Computer Science 61C: Great Ideas in Computer Architecture (Machine Structures)
Computer Science 70: Discrete Mathematics and Probability Theory
Computer Science 152: Computer Architecture and Engineering
Computer Science 161: Computer Security
Computer Science 162: Operating Systems and Systems Programming
Computer Science 170: Efficient Algorithms and Intractable Problems
Computer Science 188: Introduction to Artificial Intelligence
Computer Science 189: Introduction to Machine Learning
Computer Science 267: Applications of Parallel Computers
Data Science 100: Principles and Techniques of Data Science
Electrical Engineering and Computer Science 16A: Designing Information Devices and Systems I
Electrical Engineering and Computer Science 16B: Designing Information Devices and Systems II
Chemistry 4A: Advanced General Chemistry and Quantitative Analysis I
Chemistry 4B: Advanced General Chemistry and Quantitative Analysis II
Chemistry 12A: Advanced Organic Chemistry I
Chemistry 12B: Advanced Organic Chemistry II
Chemical Engineering 140: Introduction to Chemical Process Analysis
Mathematics 1B: Calculus II
Mathematics 53: Multivariable Calculus
Mathematics 54: Linear Algebra and Differential Equations
Physics 7A: Physics for Scientists and Engineers I
Physics 7B: Physics for Scientists and Engineers II

Here is a list of all the core courses I have taken or am currently taking at NCSU. If available, I have linked the course syllabus.

Computer Science 512: Compiler Construction
Computer Science 561: Principles of Computer Graphics
Computer Science 591-007: Resource and Time-Dependent Machine Learning
Computer Science 766: Code Optimization for Scalar and Parallel Programs
Computer Science 791-025: High Performance Machine Learning and Real-Time AI
Computer Science 791-026: Efficient Tensor Computation for DL/Scientific Applications
Computer Engineering 542: Neural Networks
Computer Engineering 786: Advanced Computer Architecture: Data Parallel Processors

Although my coursework as UC Berkeley and NCSU may be representative of my knowledge, I have also self-studied many programming languages and computer science topics. You can get a glimpse of my self-studied content through my projects, in fact, you're looking at my self-studied web development skills right now! Can you find the easter eggs hidden in the source code?