CS 194-16 Introduction to Data Science - UC Berkeley, Spring 2014

Organizations use their data for decision support and to build data-intensive products and services. The collection of skills required by organizations to support these functions has been grouped under the term Data Science. This course will attempt to articulate the expected output of Data Scientists and then equip the students with the ability to deliver against these expectations. The assignments will involve web programming, statistics, and the ability to manipulate data sets with code.

Logistics

Course Number: CS 194-16, CS 294-16 Spring 2014, UC Berkeley

Instructor: Mike Franklin

Time: Monday, 5.30pm - 8.30pm

Location: 145 Moffit

Teaching Assistants: Daniel Bruckner, Evan Sparks and Shivaram Venkataraman

Discussion: Join Piazza for announcements and to ask questions about the course

Office hours: Mike Franklin - T 3.30-4.30, Th 2.30-3.30 at 449 Soda GSIs - M 2-3 at 449 Soda, W 11-12 at 751 Soda



Pre-requisites

Pre-requisites for this course include 61A, 61B, 61C and basic programming skills. Knowledge of Python will be useful for the assignments. Students will also be expected to run VirtualBox on their laptops for the assignments.

Please take the class survey here.

Plese set up your machine according to these instuctions.

Grading

Class Participation and in-class labs: 20%

Midterm: 20%

Final Project (in groups): 25% Final Project Information is Here

Homeworks : 30% (3 @ 10% each: Homework 1; Homework 2; Homework 3)

“Bunnies” : 5%

Schedule