Approved and Denied Electives

APPROVED ELECTIVE COURSES (ONLY APPROVED GRADED ELECTIVES WILL COUNT)

  • AMATH 515 - Optimization: Fundamentals and Applications
  • AMATH/MATH 516- Numerical Optimization
  • AMATH 523 - Mathematical Analysis in Biology and Medicine
  • AMATH 562 - Advanced Stochastic Processes
  • BIOST 517 - Applied Biostatistics I
  • BIOST 518-Applied Biostatistics II
  • BIOST 537-Survival Data Analysis in Epidemiology
  • BIOST 540- Longitudinal and Multilevel Analysis
  • BIOST 550 - Statistical Genetics I: Mendelian Traits
  • BIOST 551 - Statistical Genetics II: Quantitative Traits
  • BIOST 552- Statistical Genetics III: Design and Analysis
  • BIOST 555-Statistical Methods for Spatial Epidemiology
  • BIOST/STAT 578- Special Topic: Causal Inference in Biomedical Studies (SPR 2024)
  • CFRM 505-Monte Carlo Methods in Finance
  • CFRM 506-Financial Data Access and Analysis with SQL, VBA and Excel
  • CSE 414-Introductions to Database Systems
  • CSE 415-Introduction to Artificial Intelligence
  • CSE 417-Algorithms and Computational Complexity
  • CSE 422 Advanced Toolkit for Modern Algorithms
  • CSE 442-Data Visualization
  • CSE 447-Natural Language Processing
  • CSE 473-Introduction to Artificial Intelligence
  • CSE 493G1/599G1-Deep Learning
  • CSE 510 - Advanced Topics in HCI
  • CSE 512 - Data Visualization
  • CSE 515 - Statistical Methods in Computer Science
  • CSE 517-Natural Language Processing
  • CSE 535-Theory of Optimization and Continuous Algorithms
  • CSE 541 - Interactive Learning
  • CSE 543- Deep Learning
  • CSE 544 - Principles of Database Systems
  • CSE 546 - Machine Learning
  • CSE 573 - Artificial Intelligence I
  • CSE 578 - Convex Optimization
  • CSE 583- Software Development for Data Scientists
  • CSE 599 - Foundations of Fairness in Machine Learning
  • CSE 599D-Theoretical Deep Learning
  • CSE M 547-Natural Language Processing
  • CSE M 552/ CSE 452- Distributed Systems
  • CSSS 512 - Time Series and Panel Data for the Social Sciences
  • CSSS 526-Structural Equation Models for the Social Sciences
  • CSSS 533- Research Methods in Demography
  • CSSS 544-Bayesian Statistical Methods
  • CSSS 554-Statistical Methods for Spatial Data
  • CSSS 563-Statistical Demography
  • CSSS 569-Visualizing Data
  • CSSS 589-Multivariate Data Analysis for the Social Sciences
  • ECON 586- Advanced Applied Time Series Analysis
  • EDPSY 575 - Structural Equation Modeling
  • EE 578/ME 578 - Convex Optimization
  • GEN 540-Introduction to Computational Molecular Biology: Genome and Protein Sequence Analysis
  • GEN 541-Introduction to Computational Molecular Biology: Molecular Evolution
  • GEN 562-Population Genetics
  • IND E 512- Introduction to Optimization Models
  • IND E 524-Robust Design for Process Improvement
  • MATH 408-Non-Linear Optimization
  • MATH 514-Networks and Combinatorial Optimization
  • MATH 515-Optimization: Fundamentals and Applications 
  • MATH 524- Real Analysis
  • MATH 574-Fundamental Concepts of Analysis
  • MATH 581G-Special Topics (Autumn 2022)
  • MATH 583B-Topological Data Analysis (SPR 2024)
  • ME 574-Introduction to Applied Parallel Computing for Engineers
  • ME 578/EE 578-Convex Optimization
  • MKTG 596- Adaptive Experimentation in Practice
  • QERM 514 - Analysis of Ecological and Environmental Data
  • SOC 513-Demography and Society
  • SOC 530-Urbanism and Urbanization
  • SOC 531-Fertility and Mortality
  • SOC/CSSS/CSDE 533-Research Methods in Demography
  • STAT 451-Visualizing Data
  • STAT 491-Introduction to Stochastic Processes
  • STAT 493-Stochastic Calculus for Option Pricing
  • STAT 516-Stochastic Modeling of Scientific Data
  • STAT 517-Stochastic Modeling of Scientific Data
  • STAT 521-Advanced Probability
  • STAT 522-Advanced Probability
  • STAT 523-Advanced Probability
  • STAT/BIOST 524- Design of Medical Studies
  • STAT 527-Nonparametric Regression and Classification
  • STAT 529-Sample Survey Techniques
  • STAT 533/ BIOST 533- Theory of Linear Models
  • STAT 535-Statistical Learning: Modeling, Prediction, and Computing
  • STAT 536-Analysis of Categorical and Count Data 
  • STAT 538- Statistical Learning: Modeling, Prediction, and Computing
  • STAT 542-Multivariate Analysis
  • STAT 544-Bayesian Statistical Methods
  • STAT 548-Machine Learning for Big Data
  • STAT/BIOST 550-Statistical Genetics I: Mendelian Traits
  • STAT/BIOST 551-Statistical Genetics II: Quantitative Traits
  • STAT/BIOST 552- Statistical Genetics III: Design and Analysis
  • STAT/CSSS 554/SOC 534-Statistical Methods for Spatial Data 
  • STAT 559 - Measure Theory
  • STAT 560- Hierarchical Modeling for the Social Sciences
  • STAT/CSSS/SOC 563-Statistical Demography
  • STAT 564- Bayesian Statistics for the Social Sciences
  • STAT 566- Causal Modeling
  • STAT/CSSS 567- Statistical Analysis of Social Networks
  • STAT 581-Advanced Theory of Statistical Inference I
  • STAT 582- Advanced Theory of Statistical Inference II
  • STAT 583- Advanced Theory of Statistical Inference III
  • STAT 591 - Special Topics in Statistics (only graded special topics will be approved)
  • STAT 593D-Statistical Demography (Spring 2017)

DENIED ELECTIVE COURSES

  • BIOST 405-Introduction to Health Data Analysis
  • BIOST 546 - Machine Learning for Biomedical and Public Health Big Data
  • BIOST 561- Computational Skills for Biostatistics I
  • CFRM 410- Probability and Statistics for Computational Finance
  • CFRM 420- Introduction to Computational Finance and Financial Econometrics
  • CFRM 425-R Programming for Quantitative Finance
  • CHEM E 556 - Colloidal Systems
  • CSE/STAT 416- Introduction to Machine Learning
  • CSE 446- Machine Learning
  • CSE 515 - Statistical Methods in Computer Science
  • HSERV 558 - Tobacco and Public Health: Prevention, Treatment, Policy and Social Change
  • IMT 543-Relational Database Management Systems
  • MATH 510- Seminar in Algebra
  • PHYS 567 - Theory of Solids
  • SOC 505-Applied Social Statistics
  • SOC 506 - Methodology: Quantitative Techniques in Sociology
  • STAT 435-Introduction to Statistical Machine Learning
  • STAT 509-Econometrics I: Introduction to Mathematical Statistics