ENGINEERING DATA ANALYSIS (3 SCU)

Learning Outcomes:

On successful completion of this course, students will be able to: LO1 – Explain the concept of analytics for engineering data; LO2 – Perform data preparation for analytical process; LO3 – Apply descriptive and predictive analytics and related software for data analysis; LO4 – Propose recommendation and/or decision for the system utilizing data analytics approach.

Topics:

1. Basic Algorithms for Data Mining;
2. Understanding and Preparation Data for Analytics;
3. Graph for Capturing Information;
4. Introduction to Data Analytics for Industrial Engineer;
5. Analytics on Spreadsheets;
6. Dashboard for Performance Monitoring;
7. What is Data Mining?;
8. Introduction to Descriptive and Predictive Analytics;
9. Data Visualization Using Dashboard.