• MA 143X. CALCULUS III: A THEORETICAL APPROACH
  • MA 144X. CALCULS IV: A THEORETICAL APPROACH
  • MA 422X. TOP NUMERICAL ALGORITHMS OF THE CENTURY
  • MA 463X. DATA ANALYTICS AND STATISTICAL LEARNING
  • MA 489X. APPLIED DIFFERENTIAL GEOMETRY
  • MA 1020. CALCULUS I WITH PRELIMINARY TOPICS
  • MA 1021. CALCULUS I
  • MA 1022. CALCULUS II
  • MA 1023. CALCULUS III
  • MA 1024. CALCULUS IV
  • MA 1033. INTRODUCTION TO ANALYSIS III
  • MA 1034. INTRODUCTION TO ANALYSIS IV
  • MA 1120. CALCULUS II (SEMESTER VERSION)
  • MA 1971. BRIDGE TO HIGHER MATHEMATICS
  • MA 2051. ORDINARY DIFFERENTIAL EQUATIONS
  • MA 2071. MATRICES AND LINEAR ALGEBRA I
  • MA 2073. MATRICES AND LINEAR ALGEBRA II
  • MA 2201. DISCRETE MATHEMATICS
  • MA 2210. MATHEMATICAL METHODS IN DECISION MAKING
  • MA 2211. THEORY OF INTEREST I
  • MA 2212. THEORY OF INTEREST II
  • MA 2251. VECTOR AND TENSOR CALCULUS
  • MA 2271. GRAPH THEORY
  • MA 2273. COMBINATORICS
  • MA 2431. MATHEMATICAL MODELING WITH ORDINARY DIFFERENTIAL EQUATIONS
  • MA 2610. APPLIED STATISTICS FOR THE LIFE SCIENCES
  • MA 2611. APPLIED STATISTICS I
  • MA 2612. APPLIED STATISTICS II
  • MA 2621. PROBABILITY FOR APPLICATIONS
  • MA 2631. PROBABILITY
  • MA 3211. THEORY OF INTEREST
  • MA 3212. LIFE CONTINGENCIES
  • MA 3213. ACTUARIAL MATHEMATICS II
  • MA 3231. LINEAR PROGRAMMING
  • MA 3233. DISCRETE OPTIMIZATION
  • MA 3257. NUMERICAL METHODS FOR LINEAR AND NONLINEAR SYSTEMS
  • MA 3457. NUMERICAL METHODS FOR CALCULUS AND DIFFERENTIAL EQUATIONS
  • MA 3471. ADVANCED ORDINARY DIFFERENTIAL EQUATIONS
  • MA 3475. CALCULUS OF VARIATIONS
  • MA 3627. APPLIED STATISTICS III
  • MA 3631. MATHEMATICAL STATISTICS
  • MA 3823. GROUP THEORY
  • MA 3825. RINGS AND FIELDS
  • MA 3831. PRINCIPLES OF REAL ANALYSIS I
  • MA 3832. PRINCIPLES OF REAL ANALYSIS II
  • MA 4213. LOSS MODELS I - RISK THEORY
  • MA 4214. LOSS MODELS II - SURVIVAL MODELS
  • MA 4216. ACTUARIAL SEMINAR
  • MA 4235. MATHEMATICAL OPTIMIZATION
  • MA 4237. PROBABILISTIC METHODS IN OPERATIONS RESEARCH
  • MA 4291. APPLICABLE COMPLEX VARIABLES
  • MA 4411. NUMERICAL ANALYSIS OF DIFFERENTIAL EQUATIONS
  • MA 4451. BOUNDARY VALUE PROBLEMS
  • MA 4473. PARTIAL DIFFERENTIAL EQUATIONS
  • MA 4603. STATISTICAL METHODS IN GENETICS AND BIOINFORMATICS
  • MA 4631. PROBABILITY AND MATHEMATICAL STATISTICS I
  • MA 4632. PROBABILITY AND MATHEMATICAL STATISTICS II
  • MA 4891. TOPICS IN MATHEMATICS
  • MA 4892. TOPICS IN ACTUARIAL MATHEMATICS

Supplemental Undergraduate Courses

  • MA 422X. TOP NUMERICAL ALGORITHMS OF THE CENTURY
    This course will highlight top algorithms that have tremendous impact on the development and practice of modern science and engineering. Class discussions will focus on introducing students to the mathematical theory behind the algorithms, and their applications. In particular, the course will address issues of computational efficiency, implementation, and error analysis. Algorithms to be considered may include the Fast Multipole Method, Metropolis Algorithm for the Monte Carlo Method, Fast Fourier Transform, Kalman filters and Singular Value Decomposition. Students will be expected to apply these algorithms to real-world problems. For example, we will look at image processing and audio compression (Fast Fourier Transform), recommendation systems (Singular Value Decomposition), and the tracking and prediction of an object’s position (Kalman Filters). In addition to studying these algorithms, students will learn about high performance computing and will have access to a machine with parallel and gpu capabilities to run code for applications with large data sets.

    Recommended background: MA2071 (Linear Algebra), MA2621 or MA2631 (Probability), MA3257 (Numerical Methods for Calculus and Differential Equations), MA3457 (Numerical Methods for Linear and NonLinear Systems), at least one course in Computer Science. The ability to write computer programs in a scientific language is assumed.
  • MA 463X. DATA ANALYTICS AND STATISTICAL LEARNING
    The focus of this class will be on statistical learning – the intersection of applied statistics and modeling techniques used to analyze and to make predictions and inferences from complex real-world data. Topics covered include: regression; classification/clustering; sampling methods (bootstrap and cross validation); and decision tree learning.

    Recommended background: Linear Algebra (MA2071 or equivalent), Applied Statistics II (MA2612 or equivalent), Probability (MA2631 or MA2621 or equivalent). The ability to write computer programs in a scientific language is assumed.
  • MA 500. BASIC REAL ANALYSIS
  • MA 501. ENGINEERING MATHEMATICS
  • MA 502. LINEAR ALGEBRA
  • MA 503. LEBESGUE MEASURE AND INTEGRATION
  • MA 505. COMPLEX ANALYSIS
  • MA 508. MATHEMATICAL MODELING
  • MA 510. NUMERICAL METHODS
  • MA 511. APPLIED STATISTICS FOR ENGINEERS AND SCIENTISTS
  • MA 512. NUMERICAL DIFFERENTIAL EQUATIONS
  • MA 514. NUMERICAL LINEAR ALGEBRA
  • MA 520. FOURIER TRANSFORMS AND DISTRIBUTIONS
  • MA 521. PARTIAL DIFFERENTIAL EQUATIONS
  • MA 522. HILBERT SPACES AND APPLICATIONS TO PDE
  • MA 524. CONVEX ANALYSIS AND OPTIMIZATION
  • MA 528. MEASURE THEORETIC PROBABILITY THEORY
  • MA 529. STOCHASTIC PROCESSES
  • MA 530. DISCRETE MATHEMATICS
  • MA 533. DISCRETE MATHEMATICS II
  • MA 535. ALGEBRA
  • MA 540. PROBABILITY AND MATHEMATICAL STATISTICS I
  • MA 541. PROBABILITY AND MATHEMATICAL STATISTICS II
  • MA 542. REGRESSION ANALYSIS
  • MA 543. STATISTICAL METHODS FOR DATA SCIENCE
  • MA 546. DESIGN AND ANALYSIS OF EXPERIMENTS
  • MA 547. DESIGN AND ANALYSIS OF OBSERVATIONAL AND SAMPLING STUDIES
  • MA 548. QUALITY CONTROL
  • MA 549. ANALYSIS OF LIFETIME DATA
  • MA 550. TIME SERIES ANALYSIS
  • MA 552. DISTRIBUTION-FREE AND ROBUST STATISTICAL METHODS
  • MA 554. APPLIED MULTIVARIATE ANALYSIS
  • MA 556. APPLIED BAYESIAN STATISTICS
  • MA 557. GRADUATE SEMINAR IN ANALYSIS AND APPLIED MATHEMATICS
  • MA 559. STATISTICS GRADUATE SEMINAR
  • MA 560. GRADUATE SEMINAR
  • MA 562. PROFESSIONAL MASTER'S SEMINAR
  • MA 571. FINANCIAL MATHEMATICS I
  • MA 572. FINANCIAL MATHEMATICS II
  • MA 573. COMPUTATIONAL METHODS OF FINANCIAL MATHEMATICS
  • MA 574. PORTFOLIO VALUATION AND RISK MANAGEMENT
  • MA 575. MARKET AND CREDIT RISK MODELS AND MANAGEMENT
  • MA 577. GRADUATE SEMINAR IN APPLIED MATHEMATICS
  • MA 584. STATISTICAL METHODS IN GENETICS AND BIOINFORMATICS
  • MA 590. SPECIAL TOPICS
  • MME 518. GEOMETRICAL CONCEPTS
  • MME 522. APPLICATIONS OF CALCULUS
  • MME 523. ANALYSIS WITH APPLICATIONS
  • MME 524. PROBABILITY, STATISTICS AND DATA ANALYSIS I
  • MME 525. PROBABILITY, STATISTICS AND DATA ANALYSIS II
  • MME 526. LINEAR MODELS I
  • MME 527. LINEAR MODELS II
  • MME 528. MATHEMATICAL MODELING AND PROBLEM SOLVING
  • MME 529. NUMBERS, POLYNOMIALS AND ALGEBRAIC STRUCTURES
  • MME 531. DISCRETE MATHEMATICS
  • MME 532. DIFFERENTIAL EQUATIONS