Stanford Root

Schedule

Stanford Root

Schedule

OIT 274

Data and Decisions - Base

UNITS:3
GRADING:GSB Letter Graded
LEVEL:Graduate
GER:—

Base Data and Decisions teaches first-year MBA students how to use data, statistics, regression analysis, and quantitative reasoning to make sound managerial decisions in complex and uncertain environments. Foundational content is introduced before class through online videos, simulations, and exercises. In class, students audit and interpret analyses and defend the decisions the evidence supports. Content covered includes probability and uncertainty, sampling and inference, hypothesis testing and experimentation, linear and multiple regression, and prediction models ranging from regression to neural networks, with neural networks covered at a conceptual level, along with the basic use of large language models for business tasks. Students are expected to use modern analytical tools and AI assistants throughout their work; the emphasis is on knowing what question to ask, what data are necessary, which method to choose, what the output means, and whether a recommendation is credible.

Syllabus for selected term:
View Winter 2027 Syllabus

Sections

1 Term
Case Study 1Open
ID: 28655
0 / 50 enrolled
DAYS:Monday, Thursday
TIME:8:15 AM – 9:35 AM
LOCATION:Not Applicable
INSTRUCTOR:
Allende Santa Cruz, Claudia
3units
Case Study 2Open
ID: 28656
0 / 50 enrolled
DAYS:Monday, Thursday
TIME:10 AM – 11:20 AM
LOCATION:Not Applicable
INSTRUCTOR:
Allende Santa Cruz, Claudia
3units
Case Study 3Open
ID: 28657
0 / 50 enrolled
DAYS:Monday, Thursday
TIME:1:15 PM – 2:35 PM
LOCATION:Not Applicable
INSTRUCTOR:
Lei, Lihua
3units
Case Study 4Open
ID: 28658
0 / 50 enrolled
DAYS:Monday, Thursday
TIME:1:15 PM – 2:35 PM
LOCATION:Not Applicable
INSTRUCTOR:
Somaini, Paulo
3units
Case Study 5Open
ID: 28659
0 / 50 enrolled
DAYS:Monday, Thursday
TIME:2:50 PM – 4:10 PM
LOCATION:Not Applicable
INSTRUCTOR:
Lei, Lihua
3units
Case Study 6Open
ID: 28660
0 / 50 enrolled
DAYS:Monday, Thursday
TIME:2:50 PM – 4:10 PM
LOCATION:Not Applicable
INSTRUCTOR:
Somaini, Paulo
3units

OIT 274: Data and Decisions - Base

3 units · GSB Letter Graded

Base Data and Decisions teaches first-year MBA students how to use data, statistics, regression analysis, and quantitative reasoning to make sound managerial decisions in complex and uncertain environments. Foundational content is introduced before class through online videos, simulations, and exercises. In class, students audit and interpret analyses and defend the decisions the evidence supports. Content covered includes probability and uncertainty, sampling and inference, hypothesis testing and experimentation, linear and multiple regression, and prediction models ranging from regression to neural networks, with neural networks covered at a conceptual level, along with the basic use of large language models for business tasks. Students are expected to use modern analytical tools and AI assistants throughout their work; the emphasis is on knowing what question to ask, what data are necessary, which method to choose, what the output means, and whether a recommendation is credible.

Offered in Winter 2027 at Stanford University.

Winter 2027 sections

  • Case Study — Monday Thursday 2:50 PM – 4:10 PM — Somaini, Paulo (Graduate)
  • Case Study — Monday Thursday 1:15 PM – 2:35 PM — Lei, Lihua (Graduate)
  • Case Study — Monday Thursday 1:15 PM – 2:35 PM — Somaini, Paulo (Graduate)
  • Case Study — Monday Thursday 2:50 PM – 4:10 PM — Lei, Lihua (Graduate)
  • Case Study — Monday Thursday 8:15 AM – 9:35 AM — Allende Santa Cruz, Claudia (Graduate)
  • Case Study — Monday Thursday 10:00 AM – 11:20 AM — Allende Santa Cruz, Claudia (Graduate)

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