Guides*

  • Artificial Intelligence
    • The Hopfield Network*:
    • An introduction to the Hopfield Model, its aesthetic, and connection to human memory.

  • Computer Science
    • Quantum Information Theory*:
    • A linear algebraic approach to quantum information theory. Hence, a solid background in linear algebra and exposure to quantum mechanics are necessary.

  • Mathematics
    • Measure Theory*:
    • Some familiarity with analysis is presupposed. The purpose is to provide enough background in measure theory to enter a PhD-level course in probability that would cover topics such as Martingales, Markov Processes, Brownian Motion, 0-1 laws, branching processes, and ergodic theory.

    • Game Theory:
    • An overview of common games and their structure in game theory.

  • Physics
    • Quantum Mechanics I*:
    • Topics: Schrodinger wave equation, interpretation of the wave function, the state vector, Hilbert space, Dirac notation, Heisenberg uncertainty principle, one-dimensional quantum problems, tunneling, the harmonic oscillator, three-dimensional quantum problems, angular momentum, the hydrogen atom, spin, and angular momentum addition.

    • Hodgkin-Huxley Model:
    • An exploration into the H-H model using tools from Bifurcation theory and nonlinear dynamics.

  • RESTful APIs: Architecture, Construction, and Implementation
  • iOS Development with Swift 3