Course Objectives:
This course is about prediction accuracy with neural networks covering prediction, classification and dimensionality reduction and therefore includes data engineering.
Course Content:
The course content is week by week: Introduction, What are Neural Networks, Estimation of an Evolutionary Computational Network, Evolution of Network Predictions, MATLAB Applications, Artificial Data Forecasting and Estimation, Time Series: Examples from Finance and Industry, Inflation and Deflation: Hong Kong and Japan, Classification : Credit Card Insolvency and Bankruptcies, Dimensionality Reduction and Implicit Volatility Estimation, MATLAB Applications.
Teaching Methods:
1: Lecture, 2: Question-Answer, 3: Discussion, 4: Simulation, 5: Case Study
Assessment Methods:
A: Testing, B: Experiment, C: Homework, Q: Quiz