DATA SCIENCE I: METHODS AND CONTEXT (DS5060)

This project-based course introduces data science by looking at the whole cycle of activities involved in data science projects. Students will learn how to think about problems with rigor and creativity, ethically applying data science skills to address those problems. The course project will address the theoretical, mathematical and computational challenges involved in data science.

Code:

DS5060

Name:

DATA SCIENCE I: METHODS AND CONTEXT

Discipline:

DS (Data Science)

Type:

Regular

Level:

Graduate

Credits:

Can be taken twice for credit?:

Pre-requisites:

College Level=New Student - Grad OR College Level=Graduate OR College Level=Graduate - Continuing

Co-requisites:

None

Learning Outcomes

Students will demonstrate knowledge of the ethical, legal, environmental, social and technical challenges related to data collection, storage, analysis and communication.
Students will demonstrate a good understanding of the processes involved in extracting meaning from data, in order to engage with complex issues from multiple perspectives. This includes showing critical knowledge of the potentials and limitations of data.
Students will be able to perform simple data manipulations and visualizations using tools such as spreadsheets, geographical information systems and Python code.

Offering(s)

Term	Code	Name
Fall 2023	DS5060	DATA SCIENCE I: METHODS AND CONTEXT
Fall 2024	DS5060	DATA SCIENCE I: METHODS AND CONTEXT

DATA SCIENCE I: METHODS AND CONTEXT (DS5060)

Learning Outcomes

Offering(s)

Archived Syllabi