Jim Habermas Headshot

Jim Habermas

Lecturer

School of Information
Golisano College of Computing and Information Sciences

Office Location

Jim Habermas

Lecturer

School of Information
Golisano College of Computing and Information Sciences

Education

BBA (Bachelors of Business Administration) Operation Research Systems. Eastern Michigan University (Ypsilanti MI), MALS (Master of Arts in Liberal Studies) State University College at Brockport.

Currently Teaching

ISTE-230
3 Credits
A presentation of the fundamental concepts and theories used in organizing and structuring data. Coverage includes the data modeling process, basic relational model, normalization theory, relational algebra, and mapping a data model into a database schema. Structured Query Language is used to illustrate the translation of a data model to physical data organization. Modeling and programming assignments will be required. Note: students should have one course in object-oriented programming.
ISTE-240
3 Credits
This course builds on the basics of web page development that are presented in Web and Mobile I and extends that knowledge to focus on theories, issues, and technologies related to the design and development of web sites. An overview of web design concepts, including usability, accessibility, information architecture, and graphic design in the context of the web will be covered. Introduction to web site technologies, including HTTP, web client and server programming, and dynamic page generation from a database also will be explored. Development exercises are required.
ISTE-330
3 Credits
In this course, students will build applications that interact with databases. Through programming exercises, students will work with multiple databases and programmatically invoke the advanced database processing operations that are integral to contemporary computing applications. Topics include the database drivers, the data layer, connectivity operations, security and integrity, and controlling database access.
ISTE-608
3 Credits
An introduction to the theory and practice of designing and implementing database systems. Current software environments are used to explore effective database design and implementation concepts and strategies. Topics include conceptual data modeling, methodologies, logical/physical database design, normalization, relational algebra, schema creation and data manipulation, and transaction design. Database design and implementation projects are required.