Intro. to Computer Science II
Welcome to CS 112!
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The first lecture of the semester will be held on Tuesday, September 2, 2025.
For more information, consult the syllabus or contact Ms. Preethi Narayanan or Ms. Papadakis-Kanaris.
Labs will be meeting during the first week. Please do Lab 0 on your own in advance.
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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.
- Instructors
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- Christine Papadakis-Kanaris, Senior Lecturer, Director of Masters Studies
- Preethi Narayanan, Lecturer, Undergraduate Program Director
(see the staff page for contact information and office hours)
- Lectures
- section A1: TuTh, 2:00 - 3:15 p.m. CAS 522
- section B1: TuTh, 3:30 - 4:45 p.m. CAS 522
- Labs
- All students must attend the weekly lab session for which they are enrolled.
- Midterm Exam(s)
- There will be two midterm exam, more information TBA.
- Final Exam
- The final exam will be administered during the final exam period. More information TBA.
- Requirements and grading
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- Weekly problem sets (20% of the final grade)
- Exams: midterm exam (35%) and a final exam (40%)
- Preparation and participation and in-lecture quizzea (5%)
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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.