Close Menu

Advanced Data Analytics, IT-D 529

About this Course: 

Informatics is the application of information technology to solve problems in other fields. Informaticists use technology and information to build intelligent systems used to bridge the gaps between information, technology, and the people who use it. The study of informatics is about blending applied mathematics with technology while understanding the broader consequences of computing on society and the problem being solved. It is important for any student to develop a broad perspective of technology and the people it serves. This course builds upon the student's knowledge of mathematical concepts of predictive modeling of samples and populations with an emphasis on applying technology to solve real world problems.

Course Status: 

In progress

Prerequisites: 

IT-D 527 Data Analytics, or equivalent experience in Relational Database and SQL.

Expected Outcomes: 

Upon completion of this course, participants should be able to:

  • Understand advanced regression and data modeling techniques in statistics
  • Build prediction and confidence models
  • Know forecasting and simulation techniques
  • Understand basic data mining principles

Course Outline: 

Introduction to Informatic Systems
Subdiciplines of Informatics
Using Large Population Databases
Data Modeling Techniques
Advanced Regression
Building Prediction Models
Building Confidence Models
Forecasting Techniques
Discovering Hidden Relationships
Fitting Models to Chaotic Data
Simulation Techniques
Building Business Intelligent Systems
Data Mining Principles
Exploring Third Party Informatic Applications
Case Study of Real World Informatic Systems
Future uses of Informatic Systems

Course Details: 

Grading/CEU award for this course includes assignments, exams, projects, labs and paper.