DATA SCIENCE I: METHODS AND CONTEXT in Spring 2025 (DS1060)

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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.

Course Master: 
DATA SCIENCE I: METHODS AND CONTEXT (DS1060)
Term: 
Spring 2025
Discipline: 
DS (Data Science)
Credits: 
4 credits
Type: 
CCDI
Level: 
Undergraduate
Can be taken twice for credit?: 
No
Exam Date: 
Tuesday, May 6, 2025 - 16:00
Pre-requisites: 
None
Co-requisites: 
None

Professor(s)

Information not available

Learning Outcomes

  1. Students will be able to perform simple data manipulations and visualizations using tools such as spreadsheets, geographical information systems and Python code.
  2. 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 driven inquiry.
  3. Students will demonstrate knowledge of the ethical, legal, environmental, social and technical challenges related to data collection, storage, analysis and communication.
  4. Exploring and Engaging Difference: Students will think critically about cultural and social difference; they will identify and understand power structures that determine hierarchies and inequalities that can relate to race, ethnicity, gender, nationhood, religion, or class. (CCI LO3)
  5. Civic and Ethical Engagement: Students will demonstrate awareness of ethical considerations relating to specific societal problems, values, or practices (historical or contemporary; global or local) and learn to articulate possible solutions to prominent challenges facing societies and institutions today so as to become engaged actors at various levels in our interconnected world. (CCI LO4)
  6. Students will learn about privacy, security and data preservation issues. (CCD LO2)
  7. Students will be able to interpret, report, and synthesize data and present it in various formats visually. (CCD LO3)

Syllabus

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Schedule

Start Date: 
Monday, January 13, 2025
End Date: 
Tuesday, May 13, 2025
DayStart TimeEnd TimeRoom
Tuesday
15:20
16:40
C-302
Friday
15:20
16:40
C-302