Data Analysis
Using Spreadsheets

First semester 2000-2001

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Office Hours Grading Calendar Assignments Course Materials

A113 Data Analysis Using Spreadsheets (1.5 cr.)P: A110, A111, or equivalent. An introduction to data analysis using spreadsheets, including both scientific and business applications. Elementary statistical concepts and their applications to data analysis. Emphasis on problem-solving techniques. Lecture and laboratory. Half semester.

Dan-Adrian GERMAN (, 5-7071 LH 301G)

Associate Instructors:
Gopalakrishnan NATARAJAN (
Zhen PAN (

Classes: two lectures and one of three labs per week:

   1311   Lecture   Adrian     2:30pm -  3:20pm  TR  LI033 

   1312   Lab       Adrian     4:00pm -  5:15pm  TR  LH025 
   1313   Lab       Zhen       4:00pm -  5:15pm  WF  SB221 
   1314   Lab       Raj       11:15am - 12:30pm  WF  LI503 
Weekly assignments and possibly written (take-home) quizzes.
Two practical exams, a midterm and a final exam.
Communication and feedback
A web course home page, an e-mail distribution list, regular (individual) e-mail, office hours and individual appointments are available.
Will be posted over the web.
Office Hours
By appointment or as listed.

Why should you take A113?
A113 is the fourth in the Indiana University MMCC (Multi-campus Modular Computing Curriculum) series of courses. In this course, you will get a chance to use problem-solving techniques and spreadsheet techniques to analyze data and derive various inferences from it. You will learn to find hidden relationships in your data, make sense out of the data and present drab numeric data in a more attractive and useful way.

Who should take A113?
Anyone with some basic spreadsheet knowledge can take A113. You should especially want to take A113 if you are involved in statistical interpretation of data or any form of analysis. The course material is not completely introductory, but not highly advanced either. A113 is not a Math course. We will mention some of the matematics behind the statistical techniques that we cover, but the main emphasis is to implement them using the tools provided.

CS Offered by the Computer Science Department at Indiana University Bloomington IU

Last updated: October 13, 2000 by Adrian German for A113