CSE 2337 Introduction to Data Management
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Transcript of CSE 2337 Introduction to Data Management
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CSE 2337Introduction to
Data Management
Introduction
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Overview
• Syllabus• Outline• Expectations and
Requirements • Overview of course materials• Data vs information• Spreadsheets vs. Databases
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Course Information
CSE 2337Introduction to Data Management
Blackboard URL: http://courses.smu.edu
• Syllabus and Outline• Assignments• Labs• Lecture Notes
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Instructor Info.
Mark FontenotOffice: SIC 318
E-mail: [email protected]: 214 768 2854
Office Hours: Tu 10:00 – 11:30 a.m.
W 8:00 – 9:30 a.m.Email: 24/7
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Books
• Lecture:– Concepts of Database Management, 5th ed.
Pratt and Adamski, Course Technology
• Lab:– Succeeding in Business with Microsoft Office
Excel 2003: Gross, Akaiwa, Nordquist - Course Technology
– Succeeding in Business with Microsoft Office Access 2003: Bast, Cygman, Flynn, Tidwell - Course Technology
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Class Meetings
• Lecture: Caruth 228– MW 10 – 11– Lecture based presentation
• Lab: Patterson 214 – N11: 10 – 12 – N12: 12 – 2– Hands-on Computer work
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Assessment
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Exams And Quizzes
• 3 exams– not cumulative– closed notes, closed book– during lecture
• Quizzes– unknown number– may or may not be announced
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Homework
• 5 – 6 homework assignments throughout the semester
• See assignment for exact due dates• All in Microsoft Word
– download the Word document and add your solutions to this document. DO NOT delete the questions.
• Upload completed assignments to Blackboard
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Lab Assignments
• Assignment files can be downloaded from Blackboard
• Due in 2 parts– Pre-Lab Due Thursday @ 10:00 am before lab– Lab due Saturday @ 10:00 p.m.
• Completed Assignments must be uploaded to the appropriate Blackboard folder– separate folder for pre-lab and lab for each
week
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Late Assignments
• Late Assignments are not accepted except in extreme cases.– See Prof. Fontenot– Bring an Excuse– If possible, get permission before– Work ahead – submit early!!
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Grades
Assignment Value
3 Tests 35%
Lab Practical/Projects 1 and 2
15%
Homework (5 or 6 total) 20%
Lab assignments and quizzes
25%
Class Participation and Attendance
5%
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Academic Honesty
• All work is required to be your own• Do not work in groups on any graded
assignment unless explicitly stated as acceptable
• Penalties are severe
• You may work together on anything non-graded– study for tests– review lecture notes– …
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Attendance Policy
• Lecture– Attendance is necessary for success– You’ll gain knowledge not found in the
texts
• Lab– Attendance is mandatory– no lab attendance = no lab grade for
that week
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What are we going to talk about?
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Data Management
• What is data management?
• What organizations need data management?
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Why do we need management techniques?
• Would we have an international credit card system?
• Would we be able to use cell phone internationally?– How do they charge and track your
calls? Where is that info stored?
• How does NTTA manage toll-tag charges and fines?
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Why do we need management techniques?
• To quickly search for information• To analyze data quickly
– Forecasting– Prediction
• Mine for information that we didn’t even know we didn’t know.
• Perform calculations on massive data sets very quickly
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This class and data
•Part I– Excel and Data
Analysis
•Part II– Access and Data
Management
Emphasis on Practical and Useful Skills with Access and Excel
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Material
Lecture
Lab
Wee
k 0
Wee
k 16
Excel Databases
Excel Databases
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Blackboard
http://courses.smu.edu
If you’ve never used it before:SMU ID and Password
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For Wednesday
• Read pp 2 – 65– Should be a review of Excel topics that
you are familiar with from EMIS 1305 or other pre-req classes
– Quiz on Wed– Will not cover this chapter in Lab
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Questions?
?