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Lecture Notes

Enterprise Modeling


Information SystemsNetworkingNetwork DesignNet InfrastructureInterNetworkingNetwork SecurityNet Security DesignIntranet-InternetOffice ProductivityWeb DevelopmentNet Architect & AnalData CommunicationBusiness Data CommEnterprise Net MangArchitecture and OSOperating SystemsModeling TheoryEnterprise ModelingSystem AnalysisProject ManagementStudents ProjectsNetworking

Professor Morteza Anvari


Enterprise Technology Process Models CIS 521
Spring Quarter 2007

Course Syllabus

Prerequisite: CIS 500

 Meeting Days/Time

Saturdays 01:00 pm 04:45 pm, 07 April to 16 June


 Prof. Mort Anvari , http://www.anvari.net

Instructor E-mail


Instructor Office Hours/Location

Sat 12:30-13:00, SU @ Arlington, VA  Room 305

Academic Office Phone Number

(703) 769-2651


This course covers the construction of a process that can be used for the development and management of enterprise information systems.  Emphasis is placed on the relationships between business processes, requirements, architectures, and infrastructures.

Upon the successful completion of this course, the student will be able to:

a.      Construct enterprise information technology processes in support of business operations

b.      Describe enterprise architectures and infrastructures

c.      Model enterprise architectures that support business operations

d.      Design and build architecture models based on the business scope and environment  

Model Driven Architecture

Enterprise Resource Planning

 1. A Foundation for Understanding Enterprise Resource Planning Systems

 2. Re-engineering and  Enterprise Resource Planning Systems

 3. Planning, Design, & Implementation of Enterprise Resource Planning

 4. ERP Systems: Sales and Marketing

 5. ERP Systems: Accounting and Finance

 6. ERP Systems: Production and Materials Management

 7. ERP Systems: Human Resources

 8. Managing an ERP Project

 9. Supply Chain Management and the eMarketplace

  Integrated Case Study: Bandon Group, Inc.

Data Warehousing

 Data Warehousing Case    

Data Warehousing Paper

 1. Introduction to Data Mining, Warehousing, and Visualization

 2. The Data Warehouse

 3. Data Mining and Data Visualization

 4. Machines That Can Learn

 5. Executive Information Systems

 6. Designing and Building the Data Warehouse

 7. The Future of Data Mining, Warehousing, and Visualization

E- Commerce

 Electronic Commerce Managerial Perspective