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        <description>Problem-Solving and Abstraction



CMPU-101 Section 02 

Vassar College, Fall 2021 

Syllabus / Course Wiki 


 Welcome to our course wiki and syllabus. It will be updated throughout the semester with important course information, so check here regularly.</description>
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&lt;h1 id=“lab-3-tables”&gt;Lab 3: Tables&lt;/h1&gt;
&lt;p&gt;In this lab you’re going to be working with tables!  The goal of this lab is to give you practice with:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Extracting rows and columns from a table&lt;/li&gt;
&lt;li&gt;Writing and testing helper functions&lt;/li&gt;
&lt;li&gt;Filtering data with</description>
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&lt;h1 id=“lab-4-cleaning-table-data”&gt;Lab 4: Cleaning Table Data&lt;/h1&gt;
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&lt;p&gt;The objective of this lab is to gain familiarity with sanitizing, visualizing, and gaining insights from data.&lt;/p&gt;
&lt;p&gt;Up until now, the data that you worked with had been sanitized for you (i.e. you could expect Pyret to process the data without any extra work). The data in this lab, however, is being ported directly from Google Forms submissions, so there exists data …</description>
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        <description>Week 14



Tables in Python

Tues Nov 30

	*   colab notebook
	*  Office hours today will be on zoom from 2:30 to 3:30: &lt;https://vassar.zoom.us/j/2477993620&gt;

Thurs Dec 2

	*  Exams have been returned via Gradescope
		*  (It's OK to talk about the exam now)


	*  Solutions posted on Campuswire in #section 2 room</description>
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&lt;h1 id=“assignment-2-ads-take-aim”&gt;Assignment 2: Ads Take Aim&lt;/h1&gt;
&lt;p&gt;&lt;strong&gt;Due:&lt;/strong&gt; Thursday September 23, 2021 at 11:59PM ET.&lt;/p&gt;
&lt;p&gt;&lt;img src=“&lt;https://www.cs.vassar.edu/~cs101/images/targeted-ad.jpeg&gt;” alt=“Targeted Advertising”&gt;&lt;/p&gt;
&lt;h2 id=“setup-and-handin”&gt;Setup and Handin&lt;/h2&gt;
&lt;h3 id=</description>
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        <title>week9</title>
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        <description>Week 9



Data Types

	*  Ch 11 Introduction to Structured Data  
	*  Ch 13 Recursive Data  
	*  Ch 14 Trees 

Tuesday

Structured and Conditional Data 

Recursive Data 


	*  Welcome back!
	*  CPO notes:  lecture15 code
	*   lecture slides

Thursday

	*  Reminder: Assignment 5 due this Thursday (tomorrow), 11:59pm
	*  Reminder: not too late to turn in any outstanding labs/assignments for which solutions haven't been posted (no late penalty)</description>
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        <description>*  Tues Nov 23
		*  No class 
		*  Recorded lecture: The link is posted in the Section 2 room on campuswire 
		*  Fixed link: colab notebook for recorded lecture
		*  The material in the lecture the week after Thanksgiving will not depend on this but the next Assignment and/or Lab may, so please plan to watch it by Thursday evening 12/2.</description>
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