Ph.D. Program Guidebook - The University of Chicago Booth School ...

Ph.D. Program Guidebook 2007-2008
Bus 36901 – Stochastic Programming
Bus 36902 – Dynamic Programming
Bus 36903 – Special Topics in Management Science
• Three Courses in Operations Management. Typically,
(a) Bus 40901 OM I
(b) Bus 40902 OM II
(c) Bus 40903 OM III
or a sequence approved by the area advisor.
2). Support Area Typically the student will fulfill the requirements for Economics as a
support area or Econometrics & Statistics as a support area.
For students using Economics as a support area, the following is a suggested list of courses to
choose among in satisfying the requirements outlined by the Economics area: E30100,
E30200, E30300 – Price Theory I, II, III. B33911 – Economics of Information, B41910 –
Times-series Analysis for Forecasting and Model Building, E30500 – Game Theory, E41800
– Numerical Methods in Economics, B33921, B33922, B33923 – Advanced Industrial
Organization I, II, III, E30700 – Decision Theory. Please note that in choosing from this list
you must satisfy the course distribution requirements (i.e., micro, macro, and empirical
analysis) as detailed in the Economics section of the Guidebook.
3). Coordinated Sequence The student will typically satisfy a coordinated sequence in
Computational Mathematics, Mathematical Statistics, or Mathematics. Other areas must be
approved by the area advisor.
Computational Mathematics: The 3 course coordinated sequence in computer science/applied
math, to be approved by the area advisor, is designed to provide the student a rigorous
training in algorithms and computational complexity. These courses are typically satisfied in
the University's computer science department. Graduate level courses in analysis of
algorithms, dynamical systems, graph theory, formal languages, complexity theory, discrete
mathematics, simulation, or numerical computation are typical.
The following is a pre-approved coordinated sequence in computational mathematics: CMSC
31100 – Big Ideas in Computer Science, CMSC 37110 – Discrete Mathematics, CMSC
37000 – Algorithms.
Mathematical Statistics: The 3 course coordinated sequence, to be approved by the area
advisor, is designed to provide the student a rigorous training in mathematical probability and
statistics. These courses are satisfied in the University's statistics department. Typical courses
are Stat 30100, 30200 – Mathematical Statistics I, II, Stat 34300 – Applied Linear Statistical
Methods, Stat 34500 – Design and Analysis of Experiments, Stat 33400 – Applied
Forecasting.
Mathematics: The 3 course coordinated sequence, to be approved by the area advisor, can
include courses in real and functional analysis. Some recommended courses are Math 20400,
20500 – Analysis in Rn II, III, Math 26200 – Point-Set Topology, Math 27200 – Basic
Functional Analysis.
4). Operations Workshop and Research Paper Review
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