Class Learning Objectives

CGS 4314 Intelligent Systems Analysis

Ability to select appropriate neural net design for given application problem
Ability to read and write MATLAB code for neural nets
Ability to read and write formal rigorous mathematical statements
Ability to use Invariant Set Theorem to Analyze Discrete-Time Deterministic Time-Invariant Dynamical Systems
Ability to use Invariant Set Theorem to Analyze Continuous-Time Deterministic Time-Invariant Dynamical Systems
Ability to use Stochastic Approximation Theorem to Analyze Asymptotic Behavior of Discrete-Time Stochastic Processes
Ability to compute gradients and Hessians of objective functions
Ability to understand and apply basic notions of stochastic convergence
Ability to manipulate vector-valued discrete-time stochastic proceses
Ability to manipulate matrix algebra and calculus expressions
Ability to read and general formal statements in theorem format