CS 112
Spring 2026
  • Home
  • Syllabus
  • Labs
  • Problem Sets
  • Staff
  • Office Hours
  • Resources
  • Collaboration
  • Policies
  • Lectures
  • Piazza
  • Gradescope

Intro. to Computer Science II

Welcome to CS 112!

The first lecture of the semester will be held on Tuesday, January 20, 2026.

For more information, consult the syllabus or contact Ms. Papadakis-Kanaris and/or Ms. Preethi Narayanan.

Labs will be meeting during the first week. Please do Lab 0 on your own in advance.

Most of the course materials are available on this site using the links in the navigation bar (on the left). Go to your lecture section’s site on Blackboard (when available) for:

  • pre-lecture materials, including the pre-lecture tasks, if any
  • post-lecture materials
  • all course announcements.

Course information

Course description
The second course for computer science majors and anyone seeking a rigorous introduction. Covers advanced programming techniques and data structures using the Java language. Topics include searching and sorting, recursion, algorithm analysis, linked lists, stacks, queues, trees, and hash tables.
Prerequisites
CS 111, or the equivalent. If you have not had significant prior experience with recursion, you are strongly encouraged to take CS 111 first.
Instructor
  • Christine Papadakis-Kanaris, Senior Lecturer, Director of Masters Studies (see the staff page for contact information and office hours)
Lectures
section A1: TuTh, 2:00 - 3:15 p.m. CGS 511
section A2: TuTh, 3:30 - 4:45 p.m. CGS 511
Labs
All students must attend the weekly lab session for which they are enrolled.
Quizzes
There will be two graded quizzes, administerd in the scheduled W evening time block. See course syllabus.
Midterm Exam
There will be one midterm exam, administered in the scheduled W evening time block. See course syllabus.
Final Exam
The final exam will be administered during the final exam period. More information TBA.
Requirements and grading
  • Weekly problem sets (20%)
  • Graded Quizzes (20%)
  • Exams: one midterm exam (20%) and a final exam (35%)
  • Preparation and participation and in-lecture quizzes (5%)

To pass the course, you must have a passing average on the problem sets and a passing average across the three exams.

Textbook
You are not required to purchase a textbook. Instead, we will be assigning readings from freely available online resources.
In-class software
We will be using the Top Hat platform for post-class activities and attendance. More information will be provided in lecture.

Last updated on February 3, 2026.