DATAC100

Download as PDF

DATA C100 - Principles & Techniques of Data Science

Data Science Undergraduate Studies Undergraduate CDSS - Clg of Comp Data Sci & Society

Subject

DATA

Course Number

C100

Department

Data Science Undergraduate Studies

Course Level

Undergraduate

Course Title

Principles & Techniques of Data Science

Formerly Known As

Statistics C100/Computer Science C100

Course Description

In this course, students will explore the data science lifecycle, including question formulation, data collection and cleaning, exploratory data analysis and visualization, statistical inference and prediction​, and decision-making.​ This class will focus on quantitative critical thinking​ and key principles and techniques needed to carry out this cycle. These include languages for transforming, querying and analyzing data; algorithms for machine learning methods including regression, classification and clustering; principles behind creating informative data visualizations; statistical concepts of measurement error and prediction; and techniques for scalable data processing.

Minimum Units

4

Maximum Units

4

Grading Basis

Default Letter Grade; P/NP Option

Instructors

Gonzalez, Nourozi, Perez, Yan

American Cultures Requirement

No

Reading and Composition Requirement

None of the Reading and Composition Requirement

Prerequisites

COMPSCI C8 / DATA C8 / INFO C8 / STAT C8; and COMPSCI 61A, COMPSCI 88, or ENGIN 7; Corequisite: MATH 54 or EECS 16A.

Repeat Rules

Course is not repeatable for credit.

Credit Restriction Courses

-

Credit Restrictions

Students will receive no credit for DATA C100\STAT C100\COMPSCI C100 after completing DATA 100.

Credit Replacement Courses

-

Deficient Grade Removal

A deficient grade in DATA C100\STAT C100\COMPSCI C100 may be removed by taking DATA 100.

Cross-Listed Course(s)

Term

Fall and Spring

Weeks

15 weeks

Weeks

15

Lecture Hours

3

Discussion Hours

1

Discussion Hours Min

1

Discussion Hours Max

1

Laboratory Hours

1

Laboratory Hours Min

1

Laboratory Hours Max

1

Outside Work Hours

7

Outside Work Hours Min

7

Outside Work Hours Max

7

Term

Summer

Weeks

8 weeks

Weeks

8

Lecture Hours

6

Lecture Hours Min

6

Lecture Hours Max

6

Discussion Hours

2

Discussion Hours Min

2

Discussion Hours Max

2

Laboratory Hours

2

Laboratory Hours Min

2

Laboratory Hours Max

2

Outside Work Hours

14

Outside Work Hours Min

14

Outside Work Hours Max

14