1. CSE 2337 Introduction to Data Management Introduction

2. Overview Syllabus Outline Expectations and Requirements Overview of course materials Data vs information Spreadsheets vs. Databases

3. Course Information CSE 2337 Introduction to Data Management Blackboard URL: http://courses.smu.edu Syllabus and Outline Assignments Labs Lecture Notes

4. 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

5. Teaching Assistant Laura Spenner E-Mail: lspenner@smu.edu

6. Books Lecture: –Concepts of Database Management, 5 th 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

7. Class Meetings Lecture: Caruth 228 –MW 10 – 11 –Lecture based presentation Lab: Patterson 214 –N11: 10 – 12 –N12: 12 – 2 –Hands-on Computer work

8. Assessment

9. Exams And Quizzes 3 exams –not cumulative –closed notes, closed book –during lecture Quizzes –unknown number –may or may not be announced

10. 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

11. 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

12. 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!!

13. Course Outline

14. Grades AssignmentValue 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%

15. 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 –…

16. 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

17. What are we going to talk about?

18. Data Management What is data management? What organizations need data management?

19. 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?

20. 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

21. 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

22. Material Lecture Lab Week 0 Week 16 ExcelDatabases ExcelDatabases

23. Blackboard http://courses.smu.edu If you’ve never used it before: SMU ID and Password

24. 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

25. Questions? ?