CSE 2337
Introduction to Data
Management
Introduction
Overview
• Syllabus
• Outline
• Expectations and
Requirements
• Overview of course
materials
• Data vs information
• Spreadsheets vs. Databases
Course Information
CSE 2337
Introduction to Data Management
Blackboard URL:
http://courses.smu.edu
•
•
•
•
Syllabus and Outline
Assignments
Labs
Lecture Notes
Instructor Info.
Mark Fontenot
Office: SIC 318
E-mail: mfonten@engr.smu.edu
Phone: 214 768 2854
Office Hours:
Tu 10:00 – 11:30 a.m.
W 8:00 – 9:30 a.m.
Email: 24/7
Teaching Assistant
Laura Spenner
E-Mail: lspenner@smu.edu
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
Class Meetings
• Lecture: Caruth 228
– MW 10 – 11
– Lecture based presentation
• Lab: Patterson 214
– N11: 10 – 12
– N12: 12 – 2
– Hands-on Computer work
Assessment
Exams And Quizzes
• 3 exams
– not cumulative
– closed notes, closed book
– during lecture
• Quizzes
– unknown number
– may or may not be announced
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
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
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!!
Course Outline
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%
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
–…
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
What are we going to talk about?
Data Management
• What is data management?
• What organizations need data
management?
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?
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
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
Material
Lab
Lecture
Excel
Excel
Databases
Databases
Blackboard
http://courses.smu.edu
If you’ve never used it before:
SMU ID and Password
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
Questions?