Updates

  • Welcome Ph.D. students! šŸ£ šŸŒ»

  • Class meets on Fridays from 9:30-11:30am @ SEC 2.118.

  • 9:30 breakfast will be available, 9:45-11 is mandatory class time, and 11-11:30 are office hours/ā€coffee hourā€ for cohort building.

  • Enroll in CS2901 on my.harvard.edu to access Canvas, where you can join the courseā€™s Slack channel and submit homework.


Course Overview

This is a reading and discussion-based seminar designed for entering Computer Science Ph.D. students. This course prepares students to manage the difficult and often undiscussed challenges of Ph.D. programs through sessions on:

  1. Research skill building (e.g. paper reading, communication)
  2. Soft skill building (e.g. managing advising relationships, supporting your peers)
  3. Academic culture (e.g. mental health in academia, power dynamics in scientific communities)
  4. Research and professional-oriented discussions

Please come prepared having done the readings/assignments listed on the schedule prior to class.


Course Credit

This is a full-year, 4-unit course, meeting once a week in each of the fall and the spring. Students must complete both terms of this course (parts A and B) within the same academic year to receive credit.

This course is required for new (G1) Computer Science Ph.D. students. It satisfies one of the CS 200-level electives (one of the 10 required classes for the Computer Science Ph.D. degree). SEAS G1 Ph.D. students in related fields may petition to enroll with instructor permission.


Course Policy

Attendance: Class attendance and participation is mandatory. If, due to extenuating circumstances, you need to miss class, please contact the course staff ahead of time to request an excused absence. Even if you are absent from class, you are still expected to submit the homework.

COVID & Sickness: If you are feeling unwell or test positive, please stay home and notify the course staff.

Grading: The course is letter-graded based on your attendance, pre-class work, and participation. When there is pre-class work, this will be graded based on completion. We will be expecting attendance each week, and every 2 classes with an unexcused absence will be penalized by 1 letter grade (e.g. A -> A-). Missing homework can also result in penalties.

Office Hours:

  • John: TBD
  • Madhu: TBD
  • Sonja: TBD
  • Sonia: TBD

Weā€™ll use this calendar (below) for exceptions. In addition to the regularly held office hours, additional office hours with any member of the course staff can be made by appointment.


Diversity, Inclusion and Belonging: It is the mission of the teaching staff that students from all diverse backgrounds and perspectives be well served by this course, that studentsā€™ learning needs be addressed both in and out of class, and that the diversity that students bring to this class be viewed as a resource, strength and benefit. We aim to create a learning environment that is inclusive and respectful of diversity: gender, sexuality, disability, age, socioeconomic status, ethnicity, race, and culture. Your suggestions for how to better our classroom community are always encouraged and appreciated.

Since a large part of this course requires students to work in groups, in alignment with our teaching mission, we ask that students explicitly reflect on and implement practices for building teams that are diverse along many axes. The teaching staff is happy to help you brainstorm how to create an inclusive and productive working culture for your team.


Instructors

Photo of Sonja Johnson-Yu

Sonja Johnson-Yu

(she/her)

Photo of Sonia Murthy

Sonia Murthy

(she/her)

Photo of John Girash

John Girash

(he/him)

Photo of Madhu Sudan

Madhu Sudan

[fall term]

(he/him)



Previous Offerings


Acknowledgments

This course was originally created by Yaniv Yacoby, who put a great deal of thought and effort into crafting its first two iterations, in collaboration with Eura Shin, David Parkes, and John Girash. There are a number of others who also aided in the development of this course through their helpful discussions and insights: Barbara Grosz, David Brooks, Finale Doshi-Velez, Isaac Lage, Krzysztof Gajos, Lillian Pentecost, Margo Seltzer, Sam Hsia, Udit Gupta, Weiwei Pan, Zana BuƧinca

This course draws on: Justine Sherry's seminar "Reading on Research", Weiwei Pan's seminar "Diversity, Inclusion and Leadership in Tech", Yaniv Yacoby's workshop "How to make the most out of your PhD"