Computer Science | Vassar College https://www.cs.vassar.edu/ 2026-04-18T17:04:46+00:00 Computer Science | Vassar College https://www.cs.vassar.edu/ https://www.cs.vassar.edu/_media/favicon.ico text/html 2021-09-17T15:43:39+00:00 Anonymous (anonymous@undisclosed.example.com) asmt2 https://www.cs.vassar.edu/courses/cs101-2021-02/asmt2?rev=1631893419&do=diff <html> <h1 id=“assignment-2-ads-take-aim”>Assignment 2: Ads Take Aim</h1> <p><strong>Due:</strong> Thursday September 23, 2021 at 11:59PM ET.</p> <p><img src=“<https://www.cs.vassar.edu/~cs101/images/targeted-ad.jpeg>” alt=“Targeted Advertising”></p> <h2 id=“setup-and-handin”>Setup and Handin</h2> <h3 id= text/html 2021-12-14T22:08:43+00:00 Anonymous (anonymous@undisclosed.example.com) schedule https://www.cs.vassar.edu/courses/cs101-2021-02/schedule?rev=1639519723&do=diff Fall 2021 Schedule The table below is your guide to the entire semester. Each row corresponds to a week of the semester, and the week numbers in the first column are clickable links that connect this page to the lecture notes and other course materials for that week. The last column lists the sections in text/html 2021-09-17T01:20:41+00:00 Anonymous (anonymous@undisclosed.example.com) week3 https://www.cs.vassar.edu/courses/cs101-2021-02/week3?rev=1631841641&do=diff Week 3 Tables Ch. 7: Introduction to Tabular Data Tuesday * Tables and Helper Functions * DCIC Ch. 7 * Note that this was recently revised. If you downloaded it last week, you should refresh it. * Also see the link to table documentation in the sidebar. text/html 2021-10-29T03:08:17+00:00 Anonymous (anonymous@undisclosed.example.com) week9 https://www.cs.vassar.edu/courses/cs101-2021-02/week9?rev=1635476897&do=diff 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)