Enhance your CS Experience
At the department of Computer Science at Rutgers University, we strive for excellence in undergraduate education. Our undergraduate program offers a solid foundation in software, systems and theory while offering elective courses in Artificial Intelligence, Internet Technologies, Databases, Graphics and more. We offer undergraduate students the opportunity to participate in cutting edge research and also provide students with newly designed collaborative computer labs and maker spaces. Undergraduates also have the opportunity to get involved with our many University CS affiliated clubs.

Rutgers Computing Academic Tutoring for
Students (RU CATS)
Improve CS111 and CS112 academic performance by attending tutoring hours. The CS department offers free tutors through AWiCS (Advancing Women in CS). Tutors are peer students that are further along the CS program.
The goal of the program is to:
- create additional peer-led drop-in tutoring (similar to office hours) to assist all students in 111 and 112 with academic work.
- create an inclusive, diversity empowered environment for students taking CS111 and CS112 courses via a roster of 80% female tutors.
- build a peer network that fosters encouragement and support for the learning and academic persistence of all students regardless of identities.
- assist Instructors and Learning Assistants in guiding the students to advance their knowledge and understanding of the course(s).
Current roster of RU CATS Tutors
RU CATS Program Manager: Neha Jeyaram
RU CATS Tutors:
- Alexander Ruan
- Angela Xue
- Arshia Garg
- Clairie Zhao
- Erkabay Girma
- George Janulis
- Jake Rudnick
- Jason Ordonez
- Jessie You
- Maulikaa Manikantan
- Maya Govindu
- Sowmya Vijayasundaram
- Tiara Clyde
- Vishal Kanala
- Zara Merchant
How it works:
- RU CATS is only active during the Fall and Spring semesters.
- Office hours are held walk-in mode (similar to office hours) in two different ways: in-person or virtually.
- To access in-person tutoring, locate the “RU CATS” sign inside Hill Center 248 on Busch Campus.
- To access virtual tutoring, go to CS111 or CS112 Canvas page, and click on “Tutoring” on the left side panel.
- RU CATS tutoring hours for Fall 2025 are as follows:
- In-person
- Mon – Thur: 3 – 7pm
- Fri : 3 – 5pm
- Virtual
- Sun: 1 – 5pm
- Mon – Fri: 1 – 3pm
- In-person
Tutoring Guidelines
- A tutor’s core responsibility: To answer specific questions that help clarify students’ code logic or understanding of a specific lecture topic. The tutors are NOT to fix, debug, or write any code into any student’s assignment(s).
- Tutoring expectations:
- Tutors will spend no more than 15 minutes with one (1) student at a time. If the question is left unanswered, resources will be provided to find answers. If more tutor support is needed, then the tutor will round-robin to other students first.
- Tutors can advise the student on whether or not the code achieves what it’s intended to do; they will not tell you how to do the course assignments. Students are expected to explain (in plain English) what they are trying to accomplish with a certain piece of code. See “Tutors can conditionally deny support” for more details.
- Tutors will not touch a student’s keyboard as tutors will not code a student’s assignment for them. Tutors can help clarify your assignment logic by mapping/drawing it out with the student.
- Tutors can conditionally deny support: If the student cannot explain their code logic in plain English OR the student is simply regurgitating code, THEN the tutor does not need to offer any help until the student is able to do either the former or latter.
- Tutors are here to assist those genuinely putting effort into their coursework. If you demonstrate a commitment to completing the assignments honestly, our tutors are more than willing to provide support. However, assistance will not be extended to those attempting to cheat their way through the course via AI chatbots or other methods.
// TL;DR Tutoring Guidelines while ( student.askingQuestions() ) { if ( student.cannotExplainInPlainEnglish() || student.isRegurgitatingCode() ) tutor.denyHelp(); else tutor.answerQuestions(); }
Douglass WiSE offers a number of Living and Learning Communities for students pursuing STEM majors.
First-year STEM Living-Learning Communities (LLCs) are our most vibrant and robust experiences supporting success and persistence in STEM. There are two LLCs on Busch Campus, and one LLC on Douglass campus. Each LLC includes three components: Living, Learning, and Community that cultivate the development of students’ STEM identity.
Students are strongly encouraged to consult with a CS advisor to check on their progress toward satisfaction of departmental degree requirements, and also to see if their course selection is consistent with their career goals.
Suggest visiting an advisor once per semester.
Check for Office Hours Advising.
The training of M.S. graduates in computer science provides students with the knowledge and skills to:
- hold professional positions in
- the development and design of computer systems
- the design and implementation of new software applications
- hold administrative positions that require planning and evaluation of computer-based systems
- teach computer science
- be prepared for further study and research at the doctorate level.
Overview
Scarlet Labs is an optional year-long program where students in the Coding & Social Lounge (CSL) build long-term technical projects from start to finish in small teams. Each team is assigned an alumni mentor to help them refine and implement their project idea. This program started in Spring 2025.
All current and past projects can be found on the Rutgers CSL GitHub.
Objectives
This program started to address the growing gap between skills and knowledge obtained in the school setting versus the skills used in the software engineering industry.
Some key skills that participants obtain from the program:
- Learn industry-relevant technical skills and best practices
- Gain experience that students can talk about in interviews
- A full-fledged technical projects for each participant’s resume
- Develop projects that uniquely contribute to the Rutgers community in collaboration with various stakeholders in the university, such as CS faculty and LCSR.
Current Scarlet Labs Projects
- RU Course Trader
- A mobile application that allows university students to trade their classes with each other.
- Built by George Janulis (CS ’27), Nicole Le (ECE ’26), and Preston Ku (CS + BAIT ’27) in Fall 2025-Spring 2026.
- Open Classroom Tracker
- Providing a platform where people can look for open classrooms and lecture halls.
- Built by Martin Shen (CS ’27), Farhan Khan (CS ’26), and Zahra Fakhri (CS ’27) in Fall 2025-Spring 2026.
- CS Advising Chatbot
- Creating a RAG-powered chatbot that helps with CS advising questions.
- Built by Hasan Ali (CS + Physics ’27) and Austin Zhang (CS + Linguistics ’27) in Fall 2025-Spring 2026.
Past Scarlet Labs Projects
- CSL Ticket Queue
- A refactored version of the CSL Ticket Queue system
- Built by Shatakshi Ranjan (CS ’25), Elian Deogracia-Brito (CS ’25), and Kareem Jackson (CS ’25) in Spring 2025.
- Project slides and Demo video
- Scarlet Navigator
- Scarlet Navigator is a web application created in React and TypeScript. Analogous to Degree Navigator. Allows users to drag-and-drop courses to visually create a schedule.
- Built by Kevin Monisit (CS ’25), Sanvi Patel (CS + Math ’25), and Sibi Tiruchirapalli (CS + DS ’25) in Spring 2025.
- Project slides and Demo video
- CS Discord Bot
- Discord bot delivering real-time campus updates on dining, transportation, sporting events and courses. One-stop access to essential campus information for all students.
- Built by Mary Buist (CS + Physics ’26), Nicole Le (ECE ’26), Vidu Gaur (CS ’28) in Spring 2025.
- Project slides and Demo video
- RU CS Place
- A public online canvas for users to collaborate on drawings. Rutgers version of the original r/place on Reddit.
- Built by Rushd Syed (CS + Philosophy ’25), Neha Jeyaram (CS, Math, Linguistics ’27), and Austin Zhang (CS + Linguistics ’27) in Spring 2025.
- Project slides and Demo video
