FOUNDATIONS OF DATA SCIENCE
Foundations of Data Science teaches three perspectives of data science: inferential thinking, computational thinking, and real-world applications. To solve real-world problems, how should we collect relevant data, analyze the data, draw conclusions, and provide recommendations? The course teaches skills in computer programming, statistical inference, and machine learning, focusing on the proper and efficient use of these techniques for decision-making.
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Instructor:
Eric Stratman
Info - 3 points
UNDERGRAD RESEARCH OR PROJECT
Independent work involving experiments, computer programming, analytical investigation, or engineering design.
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Instructor:
Anish Agarwal
Info -
Instructor:
Shipra Agrawal
h-index: 24 Info -
Instructor:
Eric Balkanski
h-index: 13 Info -
Instructor:
Daniel Bienstock
h-index: 38 Info -
Instructor:
Agostino Capponi
h-index: 19 Info -
Instructor:
Rachel Cummings
h-index: 16 Info -
Instructor:
Antonius B Dieker
CULPA: 10 h-index: 19 Info -
Instructor:
Adam N Elmachtoub
CULPA: 1 h-index: 13 Info -
Instructor:
Yuri Faenza
h-index: 11 Info -
Instructor:
Vineet Goyal
h-index: 21 Info -
Instructor:
Ali Hirsa
h-index: 8 Info -
Instructor:
Anran Hu
Info -
Instructor:
Garud Iyengar
CULPA: 6
h-index: 30
Info
- 1-3 points
UNDERGRAD RESEARCH OR PROJECT
Independent work involving experiments, computer programming, analytical investigation, or engineering design.
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Instructor:
Garud Iyengar
CULPA: 6
h-index: 30
Info
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Instructor:
Hardeep Johar
Info -
Instructor:
Cedric Josz
CULPA: 2 h-index: 13 Info -
Instructor:
Soulaymane Kachani
CULPA: 12 Info -
Instructor:
Yaren Kaya
Info -
Instructor:
Christian Kroer
h-index: 16 Info -
Instructor:
Daniel Lacker
CULPA: 4
h-index: 13
Info
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Instructor:
Henry Lam
h-index: 17 Info -
Instructor:
Fabrizio Lecci
Info -
Instructor:
Tianyi Lin
Info -
Instructor:
Uday Menon
Info -
Instructor:
Bento Natura
Info -
Instructor:
Jay Sethuraman
CULPA: 10 Info -
Instructor:
Eric Stratman
Info -
Instructor:
Clifford Stein
CULPA: 31 Wikipedia h-index: 53 Info -
Instructor:
Wenpin Tang
h-index: 6 Info -
Instructor:
Harry West
CULPA: 1 h-index: 1 Info -
Instructor:
Kaizheng Wang
CULPA: 1 h-index: 8 Info -
Instructor:
Lily Xu
Info -
Instructor:
David D Yao
CULPA: 5
Info
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Instructor:
Yi Zhang
CULPA: 2 Info -
Instructor:
Xunyu Zhou
h-index: 54 Info -
Instructor:
Kelly Katsigris
Info - 1-3 points
FIELDWORK
Only for IEOR undergraduate students who need relevant work experience as part of their program of study. Final reports and supervisor evaluations are required. This course may not be taken for pass/fail credit or audited. International students must also consult with the International Students and Scholars Office. No more than 3 credits may be used toward the degree requirement. Fieldwork does not count towards major requirements.
- 1-2 points
AI Applications in Finance
Data, models, visuals; various facets of AI, applications in finance; areas: fund, manager, security selection, asset allocation, risk management within asset management; fraud detection and prevention; climate finance and risk; data-driven real estate finance; cutting-edge techniques: machine learning, deep learning in computational, quantitative finance; concepts: explainability, interpretability, adversarial machine learning, resilience of AI systems; industry utilization
- TWRF 9 a.m.-5 p.m.
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Instructor:
Ali Hirsa
h-index: 8 Info - 3 points
MASTERS RESEARCH OR PROJECT
Prerequisite(s): Approval by a faculty member who agrees to supervise the work. Independent work involving experiments, computer programming, analytical investigation, or engineering design.
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Instructor:
Anish Agarwal
Info -
Instructor:
Shipra Agrawal
h-index: 24 Info -
Instructor:
Eric Balkanski
h-index: 13 Info -
Instructor:
Daniel Bienstock
h-index: 38 Info -
Instructor:
Agostino Capponi
h-index: 19 Info -
Instructor:
Rachel Cummings
h-index: 16 Info -
Instructor:
Antonius B Dieker
CULPA: 10 h-index: 19 Info -
Instructor:
Adam N Elmachtoub
CULPA: 1 h-index: 13 Info -
Instructor:
Yuri Faenza
h-index: 11 Info -
Instructor:
Vineet Goyal
h-index: 21 Info -
Instructor:
Ali Hirsa
h-index: 8 Info -
Instructor:
Anran Hu
Info -
Instructor:
Garud Iyengar
CULPA: 6
h-index: 30
Info
- 1-3 points
MASTERS RESEARCH OR PROJECT
Prerequisite(s): Approval by a faculty member who agrees to supervise the work. Independent work involving experiments, computer programming, analytical investigation, or engineering design.
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Instructor:
Garud Iyengar
CULPA: 6
h-index: 30
Info
-
Instructor:
Hardeep Johar
Info -
Instructor:
Cedric Josz
CULPA: 2 h-index: 13 Info -
Instructor:
Soulaymane Kachani
CULPA: 12 Info -
Instructor:
Yaren Kaya
Info -
Instructor:
Christian Kroer
h-index: 16 Info -
Instructor:
Daniel Lacker
CULPA: 4
h-index: 13
Info
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Instructor:
Henry Lam
h-index: 17 Info -
Instructor:
Fabrizio Lecci
Info -
Instructor:
Tianyi Lin
Info -
Instructor:
Uday Menon
Info -
Instructor:
Bento Natura
Info -
Instructor:
Jay Sethuraman
CULPA: 10 Info -
Instructor:
Eric Stratman
Info -
Instructor:
Clifford Stein
CULPA: 31 Wikipedia h-index: 53 Info -
Instructor:
Wenpin Tang
h-index: 6 Info -
Instructor:
Harry West
CULPA: 1 h-index: 1 Info -
Instructor:
Kaizheng Wang
CULPA: 1 h-index: 8 Info -
Instructor:
Lily Xu
Info -
Instructor:
David D Yao
CULPA: 5
Info
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Instructor:
Yi Zhang
CULPA: 2 Info -
Instructor:
Xunyu Zhou
h-index: 54 Info - 1-3 points
MASTERS RESEARCH OR PROJECT
Prerequisite(s): Approval by a faculty member who agrees to supervise the work. Independent work involving experiments, computer programming, analytical investigation, or engineering design.
- 1-3 points
FIELDWORK
Only for IEOR graduate students who need relevant work experience as part of their program of study. Final reports and supervisor evaluations are required. This course may not be taken for pass/fail credit or audited. International students must also consult with the International Students and Scholars Office. No more than 3 credits may be used toward the degree requirement.
- 1-2 points
FIELDWORK
Only for IEOR graduate students who need relevant work experience as part of their program of study. Final reports and supervisor evaluations are required. This course may not be taken for pass/fail credit or audited. International students must also consult with the International Students and Scholars Office. No more than 3 credits may be used toward the degree requirement.
- 1-2 points
FIELDWORK
Only for IEOR graduate students who need relevant work experience as part of their program of study. Final reports and supervisor evaluations are required. This course may not be taken for pass/fail credit or audited. International students must also consult with the International Students and Scholars Office. No more than 3 credits may be used toward the degree requirement.
- 1-2 points
RESEARCH
Before registering, the student must submit an outline of the proposed work for approval by the supervisor and the chair of the Department. Advanced study in a specialized field under the supervision of a member of the department staff. May be repeated for credit.
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Instructor:
Anish Agarwal
Info -
Instructor:
Shipra Agrawal
h-index: 24 Info -
Instructor:
Eric Balkanski
h-index: 13 Info -
Instructor:
Daniel Bienstock
h-index: 38 Info -
Instructor:
Agostino Capponi
h-index: 19 Info -
Instructor:
Rachel Cummings
h-index: 16 Info -
Instructor:
Antonius B Dieker
CULPA: 10 h-index: 19 Info -
Instructor:
Adam N Elmachtoub
CULPA: 1 h-index: 13 Info -
Instructor:
Yuri Faenza
h-index: 11 Info -
Instructor:
Vineet Goyal
h-index: 21 Info -
Instructor:
Ali Hirsa
h-index: 8 Info -
Instructor:
Anran Hu
Info -
Instructor:
Garud Iyengar
CULPA: 6
h-index: 30
Info
- 1-6 points
RESEARCH
Before registering, the student must submit an outline of the proposed work for approval by the supervisor and the chair of the Department. Advanced study in a specialized field under the supervision of a member of the department staff. May be repeated for credit.
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Instructor:
Garud Iyengar
CULPA: 6
h-index: 30
Info
-
Instructor:
Hardeep Johar
Info -
Instructor:
Cedric Josz
CULPA: 2 h-index: 13 Info -
Instructor:
Soulaymane Kachani
CULPA: 12 Info -
Instructor:
Yaren Kaya
Info -
Instructor:
Christian Kroer
h-index: 16 Info -
Instructor:
Daniel Lacker
CULPA: 4
h-index: 13
Info
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Instructor:
Henry Lam
h-index: 17 Info -
Instructor:
Fabrizio Lecci
Info - 1-6 points