Exploring Computer Science

Find us on Zoom (ft COVID-19)

Fridays, 9:50AM-11:10AM

Office Hours: By appointment

About

There's no better place to explore your interests than during your time as a student at Rutgers. Surrounded by ambitious and talented people and industry-leading professors, there is endless potential to discover your passions, land that dream job, and create the next big thing. This course is designed to teach and inspire students to explore computer science as a vehicle to solve the world's most challenging problems, learn how to succeed in CS at Rutgers, and hear from professors, faculty, alumni, doctoral and undergraduate students about their process and journey, as well as answer any of your questions.

Over the course of the semester, we will dive into computer science at the intersection of public policy, neuroscience, business, ethics, and social good, learning about the tech from an interdisciplinary lens. We will be engaging in interactive seminars and connecting this knowledge to emerging fields in CS. This course provides an overview of the tech scene at Rutgers, pointing out academic, co-curricular, and professional Rutgers-sponsored resources and opportunities to help students get a head start.

This one-credit seminar meets once per week (Fridays). Through discussion, in-class group work, and assignments, the course will survey topics in CS and use self-reflection activities to help students develop a plan for a successful college education. It will also feature guest professors and introduce you to resources on campus that will enable you to maximize your undergraduate experience here at Rutgers.

Topic
Week #
Date
Description

The Social Network (2010)

1
Sep 11

CS + Problem Solving; Welcome to Exploring CS

The Great Hack (2019)

2
Sep 18

CS + Public Policy; Tech Policy + Research + NLP

Eternal Sunshine of the Spotless Mind (2004)

3
Sep 25

CS + Health + Neuroscience ft. Computational Brain Lab

The Matrix (1999)

4
Oct 2

CS + Academic Planning ft. Advising + Academic Services

Ex Machina (2014)

5
Oct 9

CS + Philosophy; Tech Ethics + Diversity + Inclusion

Silicon Valley (2014-19)

6
Oct 16

CS + Business ft. Professor Mukesh Patel, RBS

The Internship (2013)

7
Oct 23

CS + Career Development ft. Scott Borden, CES

The Social Dilemma (2020)

8
Oct 30

CS + Social Good ft. Dr. Matt Stone + Peer Panel

Jobs (2013)

9
Nov 6

CS + All; Final Presentations (Part 1)

Reality Bites (1994)

10
Nov 13

CS + All; Final Presentations (Part 2) + Farewells

Speakers

Sep

25

Guangzhi Tang

Computational Brain Lab

CS PhD Candidate & Research Assistant at ComBra Lab

Sep

25

Ioannis Polykretis

Computational Brain Lab

CS PhD Candidate & Research Assistant at ComBra Lab

Oct

2

Kristy Haar

Advising and Academic Services

Assistant Dean for First-Year Students and Academic Advisor

Oct

16

Mukesh Patel

Rutgers Business School

Professor & Director of Road
to Silicon V/Alley Program

Oct

23

Scott Borden

Rutgers Career Services

Road to Industry Program Director, Instructor & Advisor

Oct

30

Matthew Stone

Dept of Computer Science

Department Chair, Professor,
& RUCCS Executive Council

Oct

30

Rithika Korrapolu

B.S. CS + Business Admin (2020)

Product Manager at Microsoft, WiCS Board, Google CLP

Oct

30

Alexander Goodkind

B.S. CS + Mathematics (2021)

Incoming Software Engineer at Slack, Out in Tech President

Oct

30

Berton Wang

B.S. CS + BAIT (2021)

Incoming Consultant at Mars & Co, TASA President, RUSA VC

Oct

30

Rachael Chin

B.S. CS + Cognitive Sci (2023)

SWE Intern at Prudential, LA for CS111, Blueprint VP, WiCS Board

Assignments

Name
Assignment #
Due date
HW Link

Canvas Set Up

2
Sep 18
Submission

Career Assignment

3
Oct 16
Submission

Reaction paper

4
Oct 23
Submission

Final Project & Presentation

5
Nov 6
Submission

Staff

Questions about the FIGS? Email madhu.sivaraj@rutgers.com and put FIGS in the subject.

Advisors: Career Explorations and Success, Matthew Stone, Lars Sorensen

Instructor: Madhu Sivaraj

Sponsors

Policies

This class has a strict P/NC criteria. If a student (A) misses more than 2 lectures for any reason OR (B) fails to earn at least a 70% in the course, they will receive no credit. Everyone else passes.

Given the virtual setting of Exploring Computer Science this fall, students must be visible on camera during the class and log in from a setting conducive for learning (i.e. not lying in bed, not in a noisy public place) in order to receive credit for attendance. In addition, students can earn participation points by showing up on time, being prepared (completing assignments and required readings), listening to the ideas of others, sharing their own ideas, participating in group work, and practicing respectful class behavior.