DSCI 201 A - INTRO TO DATA SCIENCE

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Course Information

INTRO TO DATA SCIENCE (DSCI 201)

Term: 2025-2026 Spring Semester

Faculty

Britton D. Wolfe
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Office Hours

  • Start Date: Aug 28 2017 10:05AM
  • End Date: Aug 28 2017 11:00AM
  • Single Date:
  • Weekly Days: Tuesday
  • Note:


Office Hours

  • Start Date: Aug 25 2017 1:00PM
  • End Date: Aug 25 2017 1:50PM
  • Single Date:
  • Weekly Days: Monday Friday
  • Note:


Office Hours

  • Start Date: Aug 25 2017 3:00PM
  • End Date: Aug 25 2017 4:00PM
  • Single Date:
  • Weekly Days: Wednesday
  • Note:


Office Hours

  • Start Date: Aug 25 2017 2:00PM
  • End Date: Aug 25 2017 3:00PM
  • Single Date:
  • Weekly Days: Tuesday
  • Note:


Office Hours

  • Start Date: Aug 25 2017 10:00AM
  • End Date: Aug 25 2017 11:00AM
  • Single Date:
  • Weekly Days: Thursday
  • Note:


Office Hours

  • Start Date: Aug 28 2017 10:05AM
  • End Date: Aug 28 2017 11:00AM
  • Single Date:
  • Weekly Days: Tuesday
  • Note:


Office Hours

  • Start Date: Aug 25 2017 1:00PM
  • End Date: Aug 25 2017 1:50PM
  • Single Date:
  • Weekly Days: Monday Friday
  • Note:


Office Hours

  • Start Date: Aug 25 2017 3:00PM
  • End Date: Aug 25 2017 4:00PM
  • Single Date:
  • Weekly Days: Wednesday
  • Note:


Office Hours

  • Start Date: Aug 25 2017 2:00PM
  • End Date: Aug 25 2017 3:00PM
  • Single Date:
  • Weekly Days: Tuesday
  • Note:


Office Hours

  • Start Date: Aug 25 2017 10:00AM
  • End Date: Aug 25 2017 11:00AM
  • Single Date:
  • Weekly Days: Thursday
  • Note:


Office Hours

  • Start Date: Aug 28 2017 10:05AM
  • End Date: Aug 28 2017 11:00AM
  • Single Date:
  • Weekly Days: Tuesday
  • Note:


Office Hours

  • Start Date: Aug 25 2017 1:00PM
  • End Date: Aug 25 2017 1:50PM
  • Single Date:
  • Weekly Days: Monday Friday
  • Note:


Office Hours

  • Start Date: Aug 25 2017 3:00PM
  • End Date: Aug 25 2017 4:00PM
  • Single Date:
  • Weekly Days: Wednesday
  • Note:


Office Hours

  • Start Date: Aug 25 2017 2:00PM
  • End Date: Aug 25 2017 3:00PM
  • Single Date:
  • Weekly Days: Tuesday
  • Note:


Office Hours

  • Start Date: Aug 25 2017 10:00AM
  • End Date: Aug 25 2017 11:00AM
  • Single Date:
  • Weekly Days: Thursday
  • Note:


Office Hours

  • Start Date: Aug 28 2017 10:05AM
  • End Date: Aug 28 2017 11:00AM
  • Single Date:
  • Weekly Days: Tuesday
  • Note:


Office Hours

  • Start Date: Aug 25 2017 1:00PM
  • End Date: Aug 25 2017 1:50PM
  • Single Date:
  • Weekly Days: Monday Friday
  • Note:


Office Hours

  • Start Date: Aug 25 2017 3:00PM
  • End Date: Aug 25 2017 4:00PM
  • Single Date:
  • Weekly Days: Wednesday
  • Note:


Office Hours

  • Start Date: Aug 25 2017 2:00PM
  • End Date: Aug 25 2017 3:00PM
  • Single Date:
  • Weekly Days: Tuesday
  • Note:


Office Hours

  • Start Date: Aug 25 2017 10:00AM
  • End Date: Aug 25 2017 11:00AM
  • Single Date:
  • Weekly Days: Thursday
  • Note:


Office Hours

  • Start Date: Aug 28 2017 10:05AM
  • End Date: Aug 28 2017 11:00AM
  • Single Date:
  • Weekly Days: Tuesday
  • Note:


Office Hours

  • Start Date: Aug 25 2017 1:00PM
  • End Date: Aug 25 2017 1:50PM
  • Single Date:
  • Weekly Days: Monday Friday
  • Note:


Office Hours

  • Start Date: Aug 25 2017 3:00PM
  • End Date: Aug 25 2017 4:00PM
  • Single Date:
  • Weekly Days: Wednesday
  • Note:


Office Hours

  • Start Date: Aug 25 2017 2:00PM
  • End Date: Aug 25 2017 3:00PM
  • Single Date:
  • Weekly Days: Tuesday
  • Note:


Office Hours

  • Start Date: Aug 25 2017 10:00AM
  • End Date: Aug 25 2017 11:00AM
  • Single Date:
  • Weekly Days: Thursday
  • Note:


Office Hours

  • Start Date: Aug 28 2017 10:05AM
  • End Date: Aug 28 2017 11:00AM
  • Single Date:
  • Weekly Days: Tuesday
  • Note:


Office Hours

  • Start Date: Aug 25 2017 1:00PM
  • End Date: Aug 25 2017 1:50PM
  • Single Date:
  • Weekly Days: Monday Friday
  • Note:


Office Hours

  • Start Date: Aug 25 2017 3:00PM
  • End Date: Aug 25 2017 4:00PM
  • Single Date:
  • Weekly Days: Wednesday
  • Note:


Office Hours

  • Start Date: Aug 25 2017 2:00PM
  • End Date: Aug 25 2017 3:00PM
  • Single Date:
  • Weekly Days: Tuesday
  • Note:


Office Hours

  • Start Date: Aug 25 2017 10:00AM
  • End Date: Aug 25 2017 11:00AM
  • Single Date:
  • Weekly Days: Thursday
  • Note:


Office Hours

  • Start Date: Aug 28 2017 10:05AM
  • End Date: Aug 28 2017 11:00AM
  • Single Date:
  • Weekly Days: Tuesday
  • Note:


Office Hours

  • Start Date: Aug 25 2017 1:00PM
  • End Date: Aug 25 2017 1:50PM
  • Single Date:
  • Weekly Days: Monday Friday
  • Note:


Office Hours

  • Start Date: Aug 25 2017 3:00PM
  • End Date: Aug 25 2017 4:00PM
  • Single Date:
  • Weekly Days: Wednesday
  • Note:


Office Hours

  • Start Date: Aug 25 2017 2:00PM
  • End Date: Aug 25 2017 3:00PM
  • Single Date:
  • Weekly Days: Tuesday
  • Note:


Office Hours

  • Start Date: Aug 25 2017 10:00AM
  • End Date: Aug 25 2017 11:00AM
  • Single Date:
  • Weekly Days: Thursday
  • Note:


Office Hours

  • Start Date: Aug 28 2017 10:05AM
  • End Date: Aug 28 2017 11:00AM
  • Single Date:
  • Weekly Days: Tuesday
  • Note:


Office Hours

  • Start Date: Aug 25 2017 1:00PM
  • End Date: Aug 25 2017 1:50PM
  • Single Date:
  • Weekly Days: Monday Friday
  • Note:


Office Hours

  • Start Date: Aug 25 2017 3:00PM
  • End Date: Aug 25 2017 4:00PM
  • Single Date:
  • Weekly Days: Wednesday
  • Note:


Office Hours

  • Start Date: Aug 25 2017 2:00PM
  • End Date: Aug 25 2017 3:00PM
  • Single Date:
  • Weekly Days: Tuesday
  • Note:


Office Hours

  • Start Date: Aug 25 2017 10:00AM
  • End Date: Aug 25 2017 11:00AM
  • Single Date:
  • Weekly Days: Thursday
  • Note:


Office Hours (Spring 2020):

M         11:00 – 11:50,  1:00 – 1:50
T          2:00 – 3:30
W        10:00 – 10:50, 2:00 – 2:50
F          10:00 – 10:50,  1:00 – 1:50

Schedule

Tue-Thu, 9:30 AM - 10:45 AM (1/12/2026 - 5/5/2026) Location: MAIN STEM 376

Description

DSCI 201. INTRODUCTION TO DATA SCIENCE. An introduction to methods and tools used to analyze and understand data. Topics include common toolkits for data analysis and visualization. Students engage in hands-on analysis of real-world data sets and discuss social issues related to data analysis. Prerequisites: Computer Science 211, or both Computer Science 141 and 155. Corequisite: Statistics 131 or Psychology 201. Spring semester only, three hours