CAP 5771 Spring 25
This is the web page for Introduction to Data Science at the University of Florida.
Exam 2 Prep
CAP 5771 — Intro to Data Science — Spring 2025
This document is to guide you in your preparation for Exam 2. Below we describe the exam format, the topics covered, and the resources you can use to prepare. The exam is meant to serve as a checkpoint to ensure you are grasping the material we have discsussed up to this point.
Exam Dates and Times
If you are enrolled with Dr. Grant, you will have a one day exam; Friday April 11th. If you are enrolled with Dr. Cruz, the exam will be in-class on Thursday, 4/10. The exam will take place in class during class time.
| Section 1XYZ Class #26756 |
|---|
| F Period 4 (10:40 AM - 11:30 AM) WEIL 0270 |
| Section EED1 Class #25378 |
|---|
| Thursday Periods 4-5 (10:40 AM - 12:35 PM) NEB 201 |
If you need exam accomodations, please register with the DRC and let me know as soon as possible DRC Registration | Accommodated Testing. Please refer to the Syllabus for details on conflicts, illnesses, etc.
What to bring to the exam
In the exam, be prepared to bring and use the following items:
- Student ID to verify your identity.
- Pencil or pen.
Exam Format
The exam will be partially multiple choice and partly free response. You will not need a cheat sheet for the exam. The exam will be strictly paper based. Some questions may involve Python or library operations but they will not require the recollection of overly specific syntax.
Topics Covered
The exam will cover the broad topics discussed in class. Any material distributed is fair game. Professors may have emphasied some topics more than others, but all topics are important.
The emphasis of the exam will be topics discussed after Exam 2.
The topics will be:
- Pattern Mining
- Clustering
- Classification
- Text Analysis
We will not cover graph analysis questions on the exam.
Enumerated Resources
Textbook
- Chapter 4
- Chapter 5.1 and 5.6
- Chapter 6
- Not 6.7 -Chapter 7
- Not 7.5
- Chapter 8
- Chapter 9
- Not 9.2, 9.3, 9.4
Codio
- Data Wrangling Lab
- Task 5-6
- (Text) Clustering and Classification Lab
- Text and Graph Analysis lab
- Task 1-4
Scripts (demos in codio)
- Data Wrangling Demo
- Clustering and Classification
- Apriori (Algorithm not SQL)
- Clustering
- Text and Graph Analysis
Sample Exam Questions
- Discussion 3: On Pattern Mining
- Discussion 4: On Clustering
- Discussion 5: On Classification
- Discussion 6: On Text Analysis on Graph Analysis
Other questions
The questions that make it to the exam will be similar to the questions in the sample exam questions. Below are some questions formats that we expect.
- Given this snippet of code, will the data frame be modified?
- Given the two table and the result set, what operation would cause this?
- Visualization question: Given given a visualization which of the following choices is a correct statement?
- Which is an advantage of using X or Y? (Where X and Y are concepts we have discussed)
- What do you you need to be aware of when imputing using the mean of an attribute?
Other notes
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