Logistics

In addition to the CS department’s Scientific Computing Masters program, this course is cross-listed in the CCIB Ph.D program and the Applied Computing MBS program. We will be using the Rutgers Canvas site for the course as the focal point for collating and sharing all class material.

During Spring 2021, the course will be offered in asynchronous online format; there will be no prescribed class time. To maintain a regular pattern for weekly readings, videos and assessments, we will try and follow a fixed routine:

  • All “lectures” will be pre-recorded in short video segments (about 10 minutes or so each). Starting from Week 2 (Monday, January 25th), video content for that week and the next week will be posted on Canvas (under Modules).

  • Students will be expected to watch the lectures and read/watch any additional assigned material in sequence (as posted in the Canvas modules).

  • Lecture videos will contain short embedded exercises and programming activities: these must be solved before one proceeds with watching the rest of the video. Some of these exercises will count towards the grades.

  • There will be 5 homework assignments during the semester, roughly at biweekly intervals. We will use the Anaconda Python 3.8 platform throughout the course. The assignments will include both Python programs and written explanations or answers to be completed and submitted as Anaconda Jupyter “notebooks”.

  • At biweekly intervals in between the homework assignments coming due, there will be six short (15-20 minute long), online quizzes to be completed over that weekend. Details will be announced.

  • Class discussions will be facilitated through the Canvas site for the course; participation in the discussions is highly encouraged.

  • Weekly office hours (TTh from 5pm to 6pm) on Zoom on a link published on the Canvas site. Students must check-in during one of the office hour sessions at least once in two weeks.