- Subject
- DS
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- Credits
- Type
- course
- Edition
- 2026-2027
- Catalog
- 2026-2027 Undergraduate Catalog
- Source
- catalog.wlu.edu
- Prerequisite
- Instructor consent. Credits: 3 A pilot online course taught by the Liberal Arts Collaborative (LACOL) consortium, including W&L faculty.
DS
12 courses with the subject DS, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
Crosslisted With MATH 1605
- Subject
- DS
- Credits (min)
- 4
- Credits (max)
- 4
- Credit unit
- Credits
- Type
- course
- Edition
- 2026-2027
- Catalog
- 2026-2027 Undergraduate Catalog
- Source
- catalog.wlu.edu
- Subject
- DS
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- Credits
- Type
- course
- Edition
- 2026-2027
- Catalog
- 2026-2027 Undergraduate Catalog
- Source
- catalog.wlu.edu
Introduces students to an area of current interest in the field of Data Science. Topics vary from year to year and are announced prior to registration. May be repeated for degree credit if the topics are different. Prerequisite varies with topic.
- Subject
- DS
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- Credits
- Type
- course
- Repeatable
- May be repeated for degree credit if the topics are different.
- Edition
- 2026-2027
- Catalog
- 2026-2027 Undergraduate Catalog
- Source
- catalog.wlu.edu
- Subject
- DS
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- Credits
- Type
- course
- Edition
- 2026-2027
- Catalog
- 2026-2027 Undergraduate Catalog
- Source
- catalog.wlu.edu
This course will investigate the differences and similarities between statistical bias and social bias. Students will study techniques to ameliorate or eliminate both.
- Subject
- DS
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- Credits
- Type
- course
- Edition
- 2026-2027
- Catalog
- 2026-2027 Undergraduate Catalog
- Source
- catalog.wlu.edu
- Subject
- DS
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- Credits
- Type
- course
- Edition
- 2026-2027
- Catalog
- 2026-2027 Undergraduate Catalog
- Source
- catalog.wlu.edu
- Subject
- DS
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- Credits
- Type
- course
- Edition
- 2026-2027
- Catalog
- 2026-2027 Undergraduate Catalog
- Source
- catalog.wlu.edu
- Prerequisite
- Instructor consent. Credits: 3 In this course, students have the opportunity to identify a topic of interest, craft testable research questions, and retrieve an appropriate data set to answer those research questions. Students’ primary goal is to synthesize what you have learned in the data science minor and demonstrate mastery of core data-science skills.
- Subject
- DS
- Credits (min)
- 1
- Credits (max)
- 1
- Credit unit
- Credits
- Type
- course
- Edition
- 2026-2027
- Catalog
- 2026-2027 Undergraduate Catalog
- Source
- catalog.wlu.edu
- Prerequisite
- Instructor consent. Credits: 1 Under the guidance of faculty in the data-science program, the student produces a digital portfolio (required for the minor) of coursework, research, and non-curricular activities in data science that demonstrates the student’s mastery of data science. Students receive instruction in best practices and expected requirements but have considerable freedom in designing their portfolios. It is expected that the student works independently each week on producing the portfolio. To be taken during the fall or winter term of the senior year.
- Subject
- DS
- Credits (min)
- 1
- Credits (max)
- 1
- Credit unit
- Credits
- Type
- course
- Repeatable
- May be repeated for degree credit.
- Edition
- 2026-2027
- Catalog
- 2026-2027 Undergraduate Catalog
- Source
- catalog.wlu.edu
- Prerequisite
- Instructor consent. Experiential Learning (EXP): Yes Credits: 1 Each student conducts primary research in partnership with a faculty member, by prior mutual agreement. Consult the program web page to find faculty pages with descriptions of current research areas. May be repeated for degree credit. May be carried out during summer.
- Subject
- DS
- Credits (min)
- 2
- Credits (max)
- 2
- Credit unit
- Credits
- Type
- course
- Repeatable
- May be repeated for degree credit.
- Edition
- 2026-2027
- Catalog
- 2026-2027 Undergraduate Catalog
- Source
- catalog.wlu.edu
- Prerequisite
- Instructor consent. Experiential Learning (EXP): Yes Credits: 2 Each student conducts primary research in partnership with a faculty member, by prior mutual agreement. Consult the program web page to find faculty pages with descriptions of current research areas. May be repeated for degree credit. May be carried out during summer.
- Subject
- DS
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- Credits
- Type
- course
- Repeatable
- May be repeated for degree credit.
- Edition
- 2026-2027
- Catalog
- 2026-2027 Undergraduate Catalog
- Source
- catalog.wlu.edu
- Prerequisite
- Instructor consent. Experiential Learning (EXP): Yes Credits: 3 Each student conducts primary research in partnership with a faculty member, by prior mutual agreement. Consult the program web page to find faculty pages with descriptions of current research areas. May be repeated for degree credit. May be carried out during summer.
Source: Washington and Lee University's catalog, linked per course · table learning_unit · CourseShelf publish 59