Undergraduate Admission
    Graduate Admission

    Advanced Data Informatics, IT 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.

    Currently Scheduled

    Course features: This is a hands on course that focuses on the creation, maintenance, and analysis of large financial databases. Concepts such as data modeling, probability, linear regression and statistical data analysis are covered in depth. In addition, this course will use large simulated equities, insurance, and banking database systems.

    Prerequisites:

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

    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 Principals;

    Exploring Third Party Informatic Applications;

    Case Study of Real World Informatic Systems;

    Future uses of Informatic Systems.

    Instructor:
    Bob Hendry