Link to details on when assignments are due and what will be taught every day.
Details on how to work on and submit each assignment.
Juan Carlos Niebles
9:00AM - 12:00PM @QueueStatus
3:30PM - 5:00PM @QueueStatus
10:30PM - 12:00AM @QueueStatus
Assignment 0 is a simple assignment to get you acquainted with Python and basic libraries we will be using in the course. Each assignment (1 through 7) will be worth 10% each. You will have one week to complete every assignment but all the assignments will be available 2 weeks before they are due. It will be due on Fridays at 11:59pm.Final
There will be no final exam this year. This exam (20%) has been replaced with the «Demo Day» component of your grade — details on this will be announced shortly.Late policy
You will have a total of 7 late days that you can use in whichever assignments you prefer. There is a limit of 3 late days used per assignment, which means that the hard deadline for each assignment is on Monday at 11:59pm. Homeworks will still be accepted after your 7 late days have been used, but a 25% penalty will be applied for each additional late day.
Proficiency in Python (NumPy)
All class assignments will be in Python (with numpy.) Please review this NumPy tutorial to help with your assignments.
Linear Algebra (e.g. MATH 51)
We will use matrix transpose, inverse, rotation, translation and other algebraic operations with matrix expressions. If you are a quick learner you should be able to learn them during the class if you haven’t yet. We will have review sessions and provide review materials.
Calculus (e.g. MATH 19 or 41)
You’ll need to be able to take a derivative, and maximize a function by finding where the derivative=0.
Probability and Statistics (e.g. CS
You should know basics of probabilities, gaussian distributions, mean, standard deviation, etc.