Computer Science Foundation

• ENGG 1330 Computer Programming I
  Introduction to programming concepts, basic algorithms and data structures
• ENGG 1340 Computer Programming II
  Object-oriented programming, advanced data structures, software engineering principles
• CS61A Structure and Interpretation of Computer Programs
  Python, functional programming, data structures, interpreters
  Berkeley (Audit)

Core Computer Science

• COMP 2119 Introduction to Data Structures and Algorithms
  Fundamental data structures, algorithm analysis, sorting and searching algorithms
• COMP 2120 Computer Organization
  Computer architecture, assembly language programming, memory hierarchy
• COMP 2121 Discrete Mathematics
  Logic, sets, functions, relations, graph theory, combinatorics
• COMP 2396 Object-Oriented Programming and Java
  Advanced OOP concepts, design patterns, Java programming
• COMP 3230 Principles of Operating Systems
  Process management, memory management, file systems, synchronization
• COMP 3251 Algorithm Design
  Advanced algorithm design techniques, dynamic programming, greedy algorithms
  In Progress
• COMP 3278 Introduction to Database Management Systems
  Database design, SQL, transaction processing, query optimization
  In Progress

Mathematics

• MATH 1851 Calculus and Ordinary Differential Equations
  Single variable calculus, limits, derivatives, integrals, differential equations
• MATH 1853 Linear Algebra, Probability and Statistics
  Matrix operations, vector spaces, basic probability and statistical concepts
• MATH 2012 Fundamental Concepts of Mathematics
  Set theory, logic, functions, relations, mathematical proofs
• MATH 2101 Linear Algebra I
  Systems of linear equations, vector spaces, basis, dimension, eigenvalues and eigenvectors
• MATH 2102 Linear Algebra II
  Advanced linear algebra, canonical forms, applications to differential equations
  In Progress
• MATH 2211 Multivariable Calculus
  Partial derivatives, multiple integrals, vector calculus, Green's and Stokes' theorems
• MATH 2241 Introduction to Mathematical Analysis
  set and countability, sequences, series, continuity, differentiation, integration
  In Progress
• MATH 3601 Numerical Analysis
  Numerical methods for solving equations, interpolation, integration, differential equations
  In Progress
• MATH 3904 Introduction to Optimization
  Constrained and unconstrained optimization, convexity, duality, numerical algorithms
• APC 350 Introduction to Differential Equations
  Existence and uniqueness theorems, linear and nonlinear ODEs, Fourier series, PDEs
  Princeton

Statistics

• STAT 2601 Probability and Statistics I
  Probability theory, counting, random variables, distributions, CDF/PMF/PDF, moment generating functions, conditional distribution, Multivariate distributions
• STAT 2602 Probability and Statistics II
  In Progress
• ORF 309 Stochastic Process
  Random Processes, Poisson process, Random Walks, Brownian Motion, Markov chains
  Princeton

Machine Learning & AI

• COMP 2501 Introduction to Data Science and Engineering
  Data manipulation, visualization, statistical hypothesis testing, machine learning basics with R
• COMP 3314 Machine Learning
  Supervised learning, unsupervised learning, deep learning and CNNs
• COMP 3317 Computer Vision
  Image processing, feature extraction, camera models, stereo vision, deep learning approaches
• CS188 Introduction to Artificial Intelligence
  Search algorithms, Markov decision processes, reinforcement learning
  Berkeley (In Progress)
• CS231n Deep Learning for Computer Vision
  Convolutional neural networks, object detection, image segmentation
  Stanford (Audit)
• CS529 Advanced Computer Vision
  Graphical models, structured prediction, image segmentation, bundle adjustment, 3D reconstruction, Lie groups and Lie algebras.
  Princeton
• Large Language Models
  Transformers, fine-tuning, RLHF, natural language processing
  Research
• Diffusion Models
  Generative modeling, image synthesis, denoising diffusion probabilistic models
  Research

Graphics & Rendering

• COMP3271 Computer Graphics
  3D graphics pipeline, rendering techniques, geometric transformations
• COS526 Neural Rendering
  NeRF, Gaussian Splatting, GANs and etc.
  Princeton
• GAMES101 Introduction to Computer Graphics
  UCSB (Audit) by Prof. Lingqi Yan
• GAMES103 Introduction to Computer Animation
  GAMES Forum (In progress)

Other CS Areas of Interest

• COMP 3353 Bioinformatics
  Computational methods for biological data analysis, sequence alignment, BWT algorithm
• COMP 3366 Quantum Algorithms and Computer Architecture
  Quantum computing principles, quantum algorithms, quantum computer architecture
  In Progress

Technical Skills