cse 2337 introduction to data management

CSE 2337Introduction to

Data Management

Introduction

Overview

• Syllabus• Outline• Expectations and

Requirements • Overview of course materials• Data vs information• Spreadsheets vs. Databases

Course Information

CSE 2337Introduction to Data Management

Blackboard URL: http://courses.smu.edu

• Syllabus and Outline• Assignments• Labs• Lecture Notes

Instructor Info.

Mark FontenotOffice: SIC 318

E-mail: mfonten@engr.smu.eduPhone: 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 SpennerE-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

Lecture

Lab

Wee

k 0

Wee

k 16

Excel Databases

Excel 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?

?