Center for Business Excellence lists information technology, software programs for spring
The University of St. Thomas Center for Business Excellence will offer the following Information Technology and Software programs this spring. A 33 percent discount is available to UST students and alumni, and a 75 percent discount is available to UST faculty and staff.
For more information or to register, call the Center for Business Excellence, (651) 962-4600, or click on the links below.
Mini Master of Information Technology
Thursday evenings, Feb. 7-May 15
The Mini Master of Information Technology program highlights many of the topics covered in the courses taught in the Graduate Programs in Software. This program is designed for anyone in any discipline who wants an understanding of critical and cutting-edge topics, current practices and issues in information technology that are necessary for every professional and for any organization's competitive advantage.
Session topics:
- Software Project Management
- Bioinformatics
- Enterprise Resource Planning (ERP) Systems
- IT Outsourcing
- Pattern-Based Software Development
- Designing and Building Web-Enabled Applications
- Computer Security
- Database Management Systems
- Mobile Communications
- Data Mining
- Data Warehousing Environments and Decision Support Systems
- Applying Human Factors to User Interface Design
- Day in the Life of a Hacker
- Legal Issues in Technology
For more information or to register, visit the Mini Master of Information Technology Web page.
Data Warehousing Environments and Decision Support Systems
Thursday and Friday, Feb. 7 and 8
A Data Warehousing Environment (DWE) provides a subject-oriented, integrated view of data that is well-suited for analysis and decision support. This program will give participants an overview of the lifecycle phases in a typical data warehousing environment; discuss the role of metadata and data quality; cover the extraction, transformation and loading (ETL) process overview; and give an overview of data mining.
For more information or to register, visit the Data Warehousing Environments and Decision Support Systems Web page.
Software Project Management Essentials
Thursday and Friday, Feb. 21 and 22
It is of critical importance to develop a well-defined plan based upon a structured planning process before beginning any software development effort. It is of equal importance to incorporate the use of that plan along with basic software project assessment and control practices during the development of the project. Software Project Management Essentials emphasizes the techniques and activities necessary to successfully manage the software process.
For more information or to register, visit the Software Project Management Essentials Web page.
Relational Database Design and Usage
Thursday and Friday, March 6 and 7
Relational Database Design and Usage provides participants with an appreciation of the value of information. It also provides an understanding of how databases can produce information and a clear concept of how relational databases can support the concepts of data modeling. This program focuses on a methodology for creating effective relational databases that perform well and satisfy a given set of requirements. Participants will learn how to map the database requirements into a concise entity relationship model, map the model into a relational model, implement the model on a target relational database and fine-tune the system for performance.
For more information or to register, visit the Relational Database Design and Usage Web page.
Data Mining
Thursday and Friday, April 17 and 18
Modern hardware can easily collect megabytes of data from various sources within a short period of time. To overcome the problem of information overloading, data mining has emerged as a major frontier. Data mining is the automated extraction of regularities and patterns representing previously unknown knowledge implicitly stored in large databases, data warehouses, and other massive information repositories. This program is ideal for anyone who needs to learn how to analyze raw data to maximize strategic planning, marketing power and bottom-line success.
For more information or to register, visit the Data Mining Web page.
