UNT BCIS 4660 - BCIS4660Syl_Evangelopoulos_C06 (7 pages)

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BCIS4660Syl_Evangelopoulos_C06



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BCIS4660Syl_Evangelopoulos_C06

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Lecture Notes


Pages:
7
School:
University of North Texas
Course:
Bcis 4660 - Data Warehousing

Unformatted text preview:

Decision Systems Design BCIS 4660 Spring 2006 Classroom Instructor Office Telephone E mail CURY 203 W 2 00 4 50 pm Dr Nick Evangelopoulos BUSI 302G Office 940 565 3056 evangeln unt edu preferred way to contact me OFFICE HOURS MW 1 00 2 00 PM and by appointment REQUIRED TEXTBOOKS 1 2 Pratt and Adamski Concepts of Database Management 5 th Edition Course Technology 2005 Marakas George Modern Data Warehousing Mining and Visualization Prentice Hall 2003 OPTIONAL TEXTBOOK 3 Adamson and Venerable Data Warehouse Design Solutions Wiley 1998 COURSE WEB SITE http www coba unt edu itds faculty evangelopoulos bcis4660 COURSE PREREQUISITES BCIS 3610 ACCT 2010 and ACCT 2020 with grades of C or better CSCIS 1110 or equivalent BCIS 2610 MSCI DSCI 3710 or 3870 2 7 GPA Grades of C or better in each previously taken BCIS and MSCI DSCI course or consent of department COURSE DESCRIPTION PURPOSE This course investigates model based approaches to the design of decision systems for business and industry This includes exploring techniques for data management such as data warehousing data mining and data visualization for decision making in management management science and accounting Emphasis will be placed upon data mining techniques for financial auditing This course is intended primarily for Accounting majors 1 GRADING Quizzes Midterm Exam Final Examination Projects and Homework Totals 7 24 26 43 100 35 points 120 points 130 points 215 points 500 points Most course grades will be posted on the Web Incomplete grades will not be given You are to check your posted grades at least once a week You will have one week to ask for a correction to a posted grade and after that period of time the grade will not be changed This includes quiz grades Final course grades will be based on total points accumulated and the subjective judgment by the instructor of your performance in this class Final grades will not be posted Course Datasets Several course datasets Premiere Products and Henry Books may be



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