Stanford Root

Schedule

Stanford Root

Schedule

MS&E 211DS

Introduction to Optimization: Data Science (MS&E 111DS)

UNITS:3-4
GRADING:Letter or Credit/No Credit
LEVEL:Graduate
GER:—

Formulation and computational analysis of linear, discrete, and other optimization problems. Strong emphasis on data science and machine learning applications, as well as applications in matching and pricing in online markets. Prerequisite: CME 100 or MATH 51.

Syllabus for selected term:
View Winter 2027 Syllabus

Sections

1 Term
Lecture 1Open
ID: 2104
0 / 175 enrolled
DAYS:Tuesday, Thursday
TIME:1:30 PM – 2:50 PM
LOCATION:TBD
INSTRUCTOR:
Saberi, Amin
units

MS&E 211DS: Introduction to Optimization: Data Science (MS&E 111DS)

3-4 units · Letter or Credit/No Credit

Formulation and computational analysis of linear, discrete, and other optimization problems. Strong emphasis on data science and machine learning applications, as well as applications in matching and pricing in online markets. Prerequisite: CME 100 or MATH 51.

Offered in Winter 2027 at Stanford University.

Winter 2027 sections

  • Lecture — Tuesday Thursday 1:30 PM – 2:50 PM — Saberi, Amin (Graduate)

More MS&E courses

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  • MS&E 208A: Practical Training
  • MS&E 208B: Practical Training
  • MS&E 208C: Practical Training
  • MS&E 208D: Practical Training
  • MS&E 208E: Part-Time Practical Training
  • MS&E 211X: Introduction to Optimization (Accelerated) (MS&E 111X)
  • MS&E 220: Probabilistic Analysis
  • MS&E 221: Stochastic Modeling
  • MS&E 223: Stochastic Simulation and Monte Carlo Methods
  • MS&E 226: Fundamentals of Data Science: Prediction, Inference, Causality
  • MS&E 228: Applied Causal Inference with Machine Learning and AI (CS 288)

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