COURSE DETAIL
FOUNDATIONS OF DATA SCIENCE
Country
China
Host Institution
Fudan University
Program(s)
Shanghai Summer
UCEAP Course Level
Lower Division
UCEAP Subject Area(s)
Computer Science
UCEAP Course Number
17
UCEAP Course Suffix
S
UCEAP Official Title
FOUNDATIONS OF DATA SCIENCE
UCEAP Transcript Title
DATA SCIENCE
UCEAP Quarter Units
4.00
UCEAP Semester Units
2.70
Course Description
This course focuses on the fundamentals of data science and provides an introduction to some basic machine learning algorithms. It explores data in a scientific way and explains the importance of data analysis. The course adopts a breadth-first approach to provide a big picture of data science. Specific topics include the basics of programming data analysis code in Python; important statistics concepts such as sampling, hypothesis testing, and confidence intervals; experimental design to gather data; and appropriate classification and inference tools to analyze data. Text: Ani Adhikari and John DeNero, COMPUTATIONAL AND INFERENTIAL THINKING- THE FOUNDATIONS OF DATA SCIENCE Assessment: lecture participation points (5%), labs (60%), final exam (35%).
Language(s) of Instruction
English
Host Institution Course Number
ECON170017
Host Institution Course Title
FOUNDATIONS OF DATA SCIENCE
Host Institution Campus
International Summer School
Host Institution Faculty
Host Institution Degree
Host Institution Department
Science & Technology