Survey
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
George Mason University Graduate Course Approval/Inventory Form Please complete this form and attach a copy of the syllabus for new courses. Forward it as an email attachment to the Secretary of the Graduate Council. A printed copy of the form with signatures should be brought to the Graduate Council Meeting. Complete the Coordinator Form on page 2, if changes in this course will affect other units. Please indicate: __X__ NEW ____ MODIFY ____ DELETE Local Unit: School of Management Graduate Council Approval Date: Course Abbreviation: Course Number: 738 MBA Full Course Title: Business Intelligence and Data Management Abbreviated Course Title (24 characters max.): Bus Intell & Data Mgmt Credit hours: 3 Program of Record: MBA Repeatable for Credit? ___ D=Yes, not within same term ___ T=Yes, within the same term _X N=Cannot be repeated for credit Up to hours Up to hours Activity Code (please indicate): _X_ Lecture (LEC) ___ Lab (LAB) ___ Recitation (RCT) ___ Studio (STU) ___ Internship (INT) ___ Independent Study (IND) ____ Seminar (SEM) Catalog Credit Format 3:3 :0 Course Level: GF(500-600) ____ GA(700+) _X___ Maximum Enrollment: 20 For NEW courses, first term to be offered: Spring 2007 Prerequisites or corequisistes: Completion of MBA core or permission of instructor Catalog Description (35 words or less) Please use catalog format and attach a copy of the syllabus for new courses.: This course examines how data warehouses and data mining are used to help businesses successfully gather, structure, analyze, understand and act on relevant data, both operational and contextual For MODIFIED or DELETED courses as appropriate: Last term offered: Previous Course Abbreviation: Previous number: Description of modification: APPROVAL SIGNATURES: Submitted by: ________________________________ email: ________________ Department/Program: College Committee: ________________________________ Date: __________________ ________________________________ Date: _________________ Graduate Council Representative: ________________________________ Date: __________________ GEORGE MASON UNIVERSITY Course Coordination Form Approval from other units: Please list those units outside of your own who may be affected by this new, modified, or deleted course. Each of these units must approve this change prior to its being submitted to the Graduate Council for approval. Unit: Head of Unit’s Signature: Date: Unit: Head of Unit’s Signature: Date: Unit: Head of Unit’s Signature: Date: Unit: Head of Unit’s Signature: Date: Unit: Head of Units Signature: Date: Graduate Council approval: ______________________________________________ Date: ____________ Graduate Council representative: __________________________________________ Date: ____________ Provost Office representative: _________________ _______________________ Date: __________ MBA 738: Business Intelligence and Data Management Master Syllabus Prerequisites: Completion of MBA core or permission of instructor Course Description: This course examines how data warehouses and data mining are used to help businesses successfully gather, structure, analyze, understand and act on relevant data, both operational and contextual. The components of and design issues related to data warehouses and business intelligence techniques for extracting meaningful and actionable information from data warehouses are emphasized. The course will also involve analysis and discussion of practice oriented articles in different functional areas of business. (3:3:0) Learning Objectives: Understand Business Intelligence fundamentals Understand data warehousing structure and processes Understand principles of data mining Hands on experience with selected data mining software Hands on experience with selected data warehousing software Approach to Learning: The material in this course is presented in a lecture/discussion format with liberal use of case studies. In- and out-of-class problems, cases and projects are used develop the student’s analysis skills. Hands on experience with appropriate software packages will enhance the conceptual content presented in class. Guest speakers may be invited to present and share their professional experience. Course Website: (See individual instructor syllabi for specific section addresses) Representative Text and Materials: – Kimball & Ross, The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling, Wiley, 2nd ed. 2002 – Hand, Mannila, and Smyth, Principles of Data Mining, MIT Press, 2001. – Berry and Linoff. Mastering Data Mining. Wiley, 2000 – Additional cases and readings as determined by instructor Student Responsibilities: This course covers a great deal of material in rather large chunks at a time. Students are therefore expected to stay current with their assigned readings and complete assignments in a timely manner. They are also expected to contribute to class discussions and case analyses. Students are responsible for all information posted at the course website (i.e., WebCT). Methods of Student Evaluation: Exams, case analysis (individual and group) and presentations. Students may also be required to prepare a research paper on an area of special interest to them. Course Topics – Evolution of Decision Support Systems and business intelligence fundamentals – Introduction to data warehousing and data marts – Basic elements and processes of data warehousing – Dimensional data model and its use for business analysis – Hands on experience with Microstrategy business intelligence Software – One large scale business intelligence implementation case study. – Quantitative techniques for data mining – Artificial intelligence techniques for data mining – Hands on experience with business intelligence software – Business intelligence applications in business functions – Real time warehousing and business intelligence – Data mining case studies Other topics may be added at the instructor’s discretion. Honor Code: Students are expected to follow the Honor Code as present in the University’s publications. DRC Statement: If you are a student with a disability and you need academic accommodations, please see the instructor and contact the Disability Resource Center (DRC) at 993-2474. All academic accommodations must be arranged through DRC.