CS 1173 Data Analysis and Visualization
Review for the final exam

Objectives:


Final Exam comprehensive, but emphasizes:

The general categories of topics are:

Also, you will not be asked to produce any code involving figures. Hence, you do not need to know the options for functions such as boxplot.  
 
Note: We have re-ordered the lessons, and sometimes the Lesson number is referred to. Ignore that number if it doesn't make sense - find the lesson TOPIC.  
 

Basic array manipulation and MATLAB functions

Skills: What to review: Handouts: Videos:  
 
 

Basic interpretation of graphs

Skills: What to review: Videos:  
 
 

Relationships between variables: Correlation and linear models

Skills: What to review:
 
Videos:  
 
 

Characterizing data distributions and descriptive statistics

Skills: What to review: Handouts: Videos  
 
 

Hypothesis testing, normality, uncertainty, sampling and logarithms

Skills: What to review: Handouts: Videos  
 
 

Programming (vector logic and program control)

Skills: What to review: Videos:

Extra credit

Up to 5 points will be added to your final exam score for answering a survey and handing it in with your final. The survey can be found on Learn under Resources. An additional 6 points towards your final exam score can be earned by successfully completing the Post Test, also found on Learn, under Quizzes. It can only be attempted once, and is timed.

This lecture summary was written by Kay A. Robbins of the University of Texas at San Antonio and last modified by Dawn Roberson on 26 Apr 2016. Please contact kay.robbins@utsa.edu with comments or suggestions.