Schedule of ACO-Related Classes

Answers to frequently asked registration questions. 

Spring 2025 Class Schedule

Course Number Course Name Instructor Course Time
CS 6515  Intro to Grad Algorithms Jan van den Brand TR 2:00 - 3:15
CS 6550/8803 Advanced Algorithms: Optimization and Sampling Santosh Vempala MW 2:00-3:15
CS 8803

Statistical Physics in Algorithms and Combinatorics

 Will Perkins MW 12:30-1:45
       
ISYE 6762 Stochastic Processes II Siva Theja Maguluri MW 2:00-3:15
ISYE 7686 Advanced Combinatorial Optimization Mohit Singh TR 9:30-10:45
ISYE 8803 Optimization and Learning in Operations Xin Chen TR 5:00-6:15
ISYE 8861 Advanced Topics in Stochastics Debankur Mukherjee MW 12:30-1:45
       
MATH 6122 Algebra II Matt Baker TR 3:30 – 4:45
MATH 7016 Combinatorics  Tom Kelly MW 2:00–3:15
MATH 7018 Probabilistic Methods in Combinatorics Xiaoyu He TR 12:30-1:45
       
ECE 8803 Online Decision Making in Machine Learning Vidya Muthukumar TR 3:30-4:45
       

 

Fall 2024 Class Schedule

Computer Science
ISYE 6761 Stochastic Processes – I Siva Theja Maguluri MW 12:30-1:45 
ISYE 7203  Logistics Systems Engineering Alejandro Toriello TR 3:30-4:45
ISYE 7661 Linear Inequalities Santanu Subhas Dey MW 3:30-4:45
Industrial and Systems Engineering
CS 6515  Intro to Grad Algorithms Sahil Singla & Jan van den Brand TR 3:30-4:45
CS 7530 Randomized Algorithms Sahil Singla & Jan can den Brand F 8:25-10:45
CS 8803 Counting and Sampling Zongchen Chen MW 9:30 - 10:45
Mathematics
ECE 8803 HOS: High Dimensional Statistics, Signal Processing, and Optimization Ashwin Pananjady MW 9:30-10:45
       
MATH 6014 Graph Theory Xingxing Yu MW 11:00-12:15
MATH 6121 Algebra I Matthew Baker TR 12:30-1:45
MATH 6263 Testing Statistical Hypotheses Cheng Mao MW 3:30-4:45
MATH 7012 Enumerative Combinatorics Josephine Yu TR 2:00-3:15
MATH 8803 Structure for Dense Graphs Rose McCarty MW 2:00-3:15

 

Spring 2024 Class Schedule

Course Number Course Name Instructor Course Time
Computer Science
CS 6550 Advanced Algorithms & Uncertainty Sahil Singla MW 2:00-3:15
CS 7545 Machine Learning Theory Jake Abernethy TR 3:30-4:45
Industrial and Systems Engineering
ISYE 7686 Advanced Combinatorial Optimization Mohit Singh TR 9:30-10:45
ISYE 8813-DAH Resilient Networks Mathieu Dahan TR 12:30-1:45
ISYE 8813 First-order Methods for Convex/Nonconvex Optimization Problems Renato Monteiro WF 12:30-1:45
Mathematics
Math 6122 Computational Nonlinear Algebra Greg Blekherman TR 9:30-10:45
Math 6762 Stochastic Processes II Debankur Mukherjee MW 2:00-3:15
Math 7018 Probabilistic Methods in Combinatorics Anton Bernshteyn TR 12:30-1:45
Math 7551A High Dimensional Probability Galyna Livshyts MW 9:30-10:45
Math 8803 Set Theory Anton Bernshteyn TR 9:30-10:45
Math 8803-Ble Convex Geometry  Greg Blekherman TR 12:30-1:45
       

 

Fall 2023 Class Schedule

Course Number Course Name Instructor Course Time
Computer Science
CS 6515 Intro to Grad Algorithms Gerandy Brito MW 8:00-9:15
CS 8803-TOI Theory of Intelligence Santosh Vempala MW 9:30-10:45
Industrial and Systems Engineering
ISYE 7661-A Linear Inequalities Santanu Dey MW 3:30-4:45
ISYE 7687 Advanced Integer Programming: Approximation Algorithms Mohit Singh TR 3:30-4:45
ECE 8803 Online Decision Making in Machine Learning Vidya Muthukumar TR 2:00-3:15
ECE 8803-HOS High-dimensional Optimization and Statistics Ashwin Pananjady MW 9:30-10:45
ISYE 8813-XIW Stochastic Programming Weijun Xie MW 9:30-10:45
ISYE 8813-NEM Statistical Inference via Convex Optimization Arkadi Nemirovski TR 5:00- 6:15
ISYE 8813-OR Mathematics of Operations Research Siva Theja Maguluri/ Santanu Dey MW 2:00-3:15
ISYE 8813 The Algorithmic Foundations of Ethical Machine Learning Juba Ziani TR 2:00-3:15
Mathematics
Math 6014 Graph Theory Xingxing Yu MW 11:00-12:15
Math 6121 Algebra I Grigoriy Blekherman TR 12:30-1:45
Math 6263 Testing Statistical Hypotheses Cheng Mao MW 3:30-4:45
Math 8803 Statistical Inference on Networks Cheng Mao MW 2:00-3:15
Math 8803 Absorption methods for Hypergraph Embeddings and Decompositions Tom Kelly MW 9:30-10:45
Math 8803 Concentration of Measure Phenomenon and Convexity Galyna Livshyts MW 9:30-10:45


Spring 2023 Class Schedule

Course Number Course Name Instructor Course Time
Computer Science
CS 6550/8803  Continuous Algorithms:  Optimization and Sampling Vempala MW 2:00-3:15
CS 7535 Markov Chain Monte Carlo Randall WF 9:30-10:45
CS 7545 Machine Learning Theory Abernethy TR 3:30-4:45
Industrial and Systems Engineering
ISyE 6762 Stochastic Processes II Mukherjee MW 3:30-4:45
ISyE 7686 Advanced Combinatorial Optimization Singh TR 9:30-10:45
ISyE 8813 Topics on Continuous Optimization:  Complexity First-and Second Order Optimization Methods Monteiro MW 12:30-1:45
Mathematics
Math 6262 Statistical Estimation Mao MW 5:00-6:15
Math/CSE 6644 Iterative Methods for Systems of Equations Tao MW 11:00-12:15
Math 6762 Stochastic Processes II Mukherjee MW 3:30-4:45
Math 7018 Probabilistic Combinatorics Bernshteyn TR 12:30-1:45
Math 7245A Stochastic Calculus II Livshyts TR 12:30-1:45

Fall 2022 Class Schedule

Course Number Course Name Instructor Course Time
Computer Science
CS 6515 Intro to Grad Algorithms Gerandy Brito MW 8:00-9:15
CS 8803-DAA Dynamic Algebraic Algorithms Jan van den Brand MW 3:30-4:45
Industrial and Systems Engineering
ISYE 6663 Nonlinear Optimization  Guanghui Lan TR 12:30-1:45
ISYE 7661-A Linear Inequalities Swati Gupta MW 3:30-4:45
ECE 8803 Online Decision Making in Machine Learning Vidya Muthukumar TR 2:00-3:15
ISYE 8813-DAH Resilient Networks Mathieu Dahan MW 9:30-10:45
ISYE 8813-MAG First Order Methods in Optimization Siva Theja Maguluri MW 2:00-3:15
ISYE 8813-NEM Lectures on Modern Convex Optimization Arkadi Nemirovski TR 3:30-4:45
ISYE 8813-OR Mathematics of Operations Research Debankur Mukherjee/Mohit Singh MW 2:00-3:15
Mathematics
Math 6014 Graph Theory Xingxing Yu MW 12:30-1:45
Math 6121 Algebra I Matthew Baker TR 12:30-1:45
Math 6263 Testing Statistical Hypotheses Cheng Mao MW 3:30-4:45

Fall 2021 Class Schedule

Course Number Course Name Instructor Course Time
Computer Science
CS 6515 Intro to Grad Algorithms Gerandy Brito TR 9:30-10:45
CS 7545 Machine Learning Theory Santosh Vempala MW 9:30-10:45
Industrial and Systems Engineering
ISyE 6663 Nonlinear Optimization Arkadi Nemirovski TR 12:30-1:45
ISyE 6761 Stochastic Processes I Siva Theja Maguluri TR 5:00-6:15
ISyE 7661 Linear Inequalities Mohit Singh TR 3:30-4:45
ISyE 7687 Advanced Interger Programming Swati Gupta MW 2:00-3:15
ISyE 8813 ZIA Alg Foundations of Ethical Machine Learning Juba Ziani TR 9:30-10:45
ISyE 8813 VAN Constraint Programming Pascal Van Hentenryck MW 5:00-6:15
ISyE 8813 OR Mathematics of Operation Research Siva Theja Maguluri TR 2:00-3:15
ECE 8803 Online Decision Making in Machine Learning Vidya Muthukumar MW 9:30-10:45
Mathematics
Math 6014 Graph Theory Xingxing Yu MW 12:30-1:45
Math 6112 Advanced Linear Algebra Luca Dieci MW 3:30-4:45
Math 6221 Advanced Classical Probability Theory Vladimir Koltchinskii MW 2:00-3:15
Math 6263 Testing Statistical Hypotheses Cheng Mao MWF 2:00-2:50
Math 6266 Linear Statistical Models Heinrich Matzinger TR 5:00-6:15
Math 7252 High Dimensional Statistics Vladimir Koltchinskii MW 11:00-12:15
Math 8803 Spectral Graph Theory Zhiyu Wang TR 12:30-1:45
Math 8803-BER Descriptive Combinatorics Anton Bernshteyn MW 11:00-12:15

Spring 2021 Class Schedule

Course Number Course Name Instructor Course Time
Computer Science
CS 6550 Design and Analysis of Algorithms Peng MW 2:00-3:15
CS 8803  Computation and the Brain Vempala M 5:00-7:45
Industrial and Systems Engineering
ISyE 6762 Stochastic Processes II Mukherjee MW 9:30-10:45
ISyE 7682 Convexity Monteiro TR 2:00-3:15
ISyE 7686 Advanced Combinatorial Optimization Gupta MW 3:30-4:45
Mathematics
Math 4032 Combinatorial Analysis Bernshteyn MWF 2:00-2:50
Math 6122 Commutative Algebra (Modern Abstract Algebra II) Chen MW 2:00-3:15
Math 6762 Stochastic Processes II Mukherjee MW 9:30-10:45
Math 7018 Probabilistic Methods in Combinatorics Warnke TTR 12:30-1:45

Fall 2020 Class Schedule

Course Number Course Name Instructor Course Time
Computer Science
CS 6515 Intro to Grad Algorithms Gerandy Brito TR 9:30-10:45
CS 7545 Machine Learning Theory Le Song TR 5:00-6:15
Industrial and Systems Engineering
ISyE 6664 Stochastic Optimization Anton J Kleywegt MW 12:30-1:45
ISyE 6761 Stochastic Processes I Siva Theja Maguluri TR 2:00-3:15
ISyE 7203 TOR Logistics Systems Engg Alejandro Toriello TR 12:30-1:45
ISyE 7661 Linear Inequalities Mohit Singh MW 2:00-3:15
ISyE 8813 TOR Inventory Theory Alejandro Toriello TR 2:00-3:15
ISyE 8813 VAN Constraint Programming Pascal Van Hentenryck MW 5:00-6:15
ISyE 8813 ZHO Advanced Machine Learning Tuo Zhao TR 9:30-10:45
ISyE 8813 MAG Reinforcement Learning:  Theory and Algorithms Siva Theja Maguluri WF 11:00-12:15
ISyE 8813 NEM Modern Convex Optimization Arkadi Nemirovski MW 11:00-12:15
Mathematics
Math 6014 Graph Theory Xing X Yu MW 12:30-1:45
Math 6112 Advanced Linear Algebra Luca Dieci MW 3:30-4:45
Math 6121 Algebra I Anton Leykin TR 12:30-1:45
Math 6241 Probability I Konstantin Tikhomirov TR 2:00-3:15
Math 6337 Real Analysis I Doron Lubinsky TR 9:30-10:45
Math 6643 Numerical Linear Algebra Sung Ha Kang MW 12:30-1:45
Math 6761 Stochastic Processes I TBA TR 2:00-3:15
Math 7012 Enumerative Combinatorics Lutz Peter Warnke MW 2:00-3:15
Math 7244 Stochastic Calculus I Michael Keith Damron TR 12:30-1:45
Math 8803-BAK Topics in Matroid Theory Matthew Baker MW 9:30-10:45
Math 8803-MAR Mapping Class Groups Dan Margalit MW 11:00-12:15

Fall 2019 Class Schedule

Course Number Course Name Instructor Course Time
Computer Science
CS 6515 - A Introduction to Graduate Algorithms Brito TuTh 3:00-4:15
CS 6520 Computational Complexity Fortnow MWF 12:20-1:10
CS 7510 Graph Algorithms Peng TuTh 12:00-1:15
CS 7545 Machine Learning Theory Abernethy MW 4:30-5:45
CS 8803 - MTH Mathematical Foundations of Machine Learning Romberg TuTh 12:00-1:15
CS 8803 - SMC Secure Multiparty Computation Kolesnikov TuTh 4:30-5:45
Industrial and Systems Engineering
ISyE 6761 Stochastic Processes I Maguluri TuTh 3:00-4:15
ISyE 7510 Graph Algorithms Peng TuTh 12:00-1:15
ISyE 7661 Linear Inequalities Singh MW 3:00-4:15
ISyE 8803-CMM Foundations of Data Privacy Cummings Mw 3:00-4:15
ISyE 8813-NEM Modern Convex Optimization Nemirovski TuTh9:30-10:45
ISyE 8843-ML Mathematical Foundations of Machine Learning Romberg TuTh 12:00-1:15
Mathematics
Math 6014 Graph Theory X. Yu TuTh 9:30-10:45
Math 6112 Advanced Linear Algebra Dieci MW 4:30-5:45
Math 6121 Algebra I J. Yu TuTh 12:00-1:15
Math 6241 Probability I Houdre TuTh 1:30-2:45
Math 6337 Real Analysis I Lubinsky TuTh9:30-10:45
Math 6421 Algebraic Geometry I Margalit MWF 10:10-11:00
Math 6643 Numerical Linear Algebra Zhou MW3:00-4:15
Math 6761 Stochastic Processes I Tikhomirov TuTh 12:00-1:15
Math 7244 Stochastic Calculus I Damron TuTh 12:00-1:15
Math 7337 Harmonic Analysis \Lacey TuTh4:30-5:45
Math 7510 Graph Algorithms Peng TuTh 12:00-1:15

Spring 2019 Class Schedule

Course Number Course Name Instructor Course Time
Computer Science
CS 6515 Introduction to Graduate Algorithms Brito TuTh 9:30-10:45
CS 6550 Design and Analysis of Algorithms Vigoda TuTh 1:30-2:45
CS 8803 - CAL Continuous Algorithms Vempala MW 9:30-10:45
Industrial and Systems Engineering
ISyE 6662 Discrete Optimization Dey TuTh 3:00-4:15
ISyE 6663 Nonlinear Optimization Monteiro MW 3:00-4:15
ISyE 6761 Stochastic Processes I Foley MWF 9:05-9:55
ISyE 6762 Stochastic Processes II Zhou MW 9:30-10:45
ISyE 7683 Advanced Nonlinear Programming Nemirovski MW 3:00-4:15
ISyE 7686 Advanced Combinatorial Optimization Gupta TuTh3:00-4:15
ISyE 8813-SIN Approximation Algorithms Singh TuTh9:30-10:45
Mathematics
Math 6122 Algebra II Srinivasan TuTh12:00-1:15
Math 6242 Probability II Tikhomirov TuTh 12:00-1:15
Math 6321 Complex Analysis Bonetto TuTh 1:30-2:45
Math 6337 Real Analysis I Nitzan TuTh9:30-10:45
Math 6338 Real Analysis II Heil MW 3:00-4:15
Math 6441 Algebraic Topology I Margalit MWF 9:05-9:55
Math 6643 Numerical Linear Algebra Park MW 3:00-4:15
Math 6762 Stochastic Processes II Zhou MW 9:30-10:45
Math 7014 Advanced Graph Theory X. Yu MWF1:55-2:45
Math 7018 Probabilistic Methods in Combinatorics Tetali TuTh 12:00-1:15
Math 7245 Stochastic Calculus II Damron TuTh 12:00-1:15