제1주: Course Introduction/Review of Linear Algebra/Systems
Lagrangian multiplier with inequality constraints
Kernel function and its relation with data transform
Meaning of k in k-NN classification
Neural network - Weight in the sum of two data
제2주: Review of Probability Theory
제3주: Basic Concepts in Estimation
제4주: Linear Estimation in Static Systems - I
제5주: Linear Estimation in Static Systems - II
제6주: Linear Dynamic Systems with Random Inputs
제7주: State Estimation in Discrete-Time Linear Dynamic Systems - I
제8주: State Estimation in Discrete-Time Linear Dynamic Systems - II
제9주: Estimation for Kinematic Models
제10주: Computation Aspects of Estimation
제11주: Extensions of Discrete-Time Linear Estimation
제12주: Continuous-Time Linear State Estimation
제13주: State Estimation for Nonlinear Dynamic Systems - I
제14주: State Estimation for Nonlinear Dynamic Systems - II
제15주: Final-term Exam
제16주: Presentation of the Project Work