View sample course syllabi below. 100 MATH 100 – Introduction to the Profession MATH 119 – Geometry for Architects MATH 122 – Introduction to Calculus MATH 130 – Thinking Mathematically MATH 131 – Mathematics for Sustainability MATH 148 – Preparation for Calculus MATH 151 – Calculus I MATH 152 – Calculus II MATH 180 – Fundamentals of Discrete Mathematics 200 MATH 225 – Introductory Statistics MATH 230 – Introduction to Discrete Mathematics MATH 251 – Multivariate and Vector Calculus MATH 252 – Introduction to Differential Equations 300 MATH 300 – Perspectives in Analysis MATH 332 – Elementary Linear Algebra MATH 333 – Matrix Algebra and Complex Variables MATH 350 – Introduction to Computational Mathematics MATH 374 – Probability and Statistics for Electrical and Computer Engineers MATH 380 – Introduction to Mathematical Modeling 400 MATH 400 – Real Analysis MATH 402 – Complex Analysis MATH 405 – Introduction to Iteration and Chaos MATH 410 – Number Theory MATH 420 – Geometry MATH 425 – Statistical Methods MATH 430 – Applied Algebra MATH 431 – Computational Algebraic Geometry MATH 435 – Linear Optimization MATH 446 and 546 – Introduction to Time Series MATH 453 – Combinatorics MATH 454 – Graph Theory and Applications MATH 461 – Fourier Series and Boundary-Value Problems MATH 474 – Probability and Statistics MATH 475 – Probability MATH 476 – Statistics MATH 477 – Numerical Linear Algebra MATH 478 – Numerical Methods for Differential Equations MATH 481 – Introduction to Stochastic Processes Math 483 - Design and Analysis of Experiments MATH 484 and 564 – Regression/Applied Statistics MATH 485 – Introduction to Mathematical Finance MATH 486 – Mathematical Modeling I MATH 488 – Ordinary Differential Equations and Dynamical Systems MATH 489 – Partial Differential Equations MATH 497 – Special Problems in Mathematica 500 MATH 500 – Applied Analysis I MATH 501 – Applied Analysis II MATH 512 – Partial Differential Equations MATH 515 – Ordinary Differential Equations and Dynamical Systems MATH 519 – Complex Analysis MATH 522 – Mathematical Modeling MATH 525 – Statistical Models and Methods MATH 527 – Machine Learning for Finance MATH 530 – Applied and Computational Algebra MATH 532 – Linear Algebra MATH 535 – Optimization I MATH 540 – Probability MATH 542 – Stochastic Processes MATH 543 – Stochastic Analysis MATH 544 – Stochastic Dynamics MATH 545 – Stochastic Partial Differential Equations MATH 446 and 546 – Introduction to Time Series MATH 548 – Mathematical Finance I MATH 550 – Topology MATH 553 – Discrete Applied Mathematics I MATH 554 – Discrete Applied Mathematics II MATH 556 – Metric Spaces MATH 557 – Probabilistic Methods in Combinatorics MATH 561 - Algebraic and geometric methods in statistics MATH 563 – Mathematical Statistics MATH 484 and 564 – Regression/Applied Statistics MATH 565 – Monte Carlo Methods in Finance MATH 566 – Multivariate Statistical Analysis Math 567 – Design and Analysis of Experiments MATH 569 – Statistical Learning MATH 571 – Data Preparation and Analysis MATH 572 – Data Science Practicum MATH 573 – Reliable Mathematical Software MATH 574 – Bayesian Computational Statistics MATH 577 – Computational Mathematics I MATH 578 – Computational Mathematics II MATH 579 – Complexity of Numerical Problems MATH 581 – Finite Elements MATH 582 – Mathematical Finance II MATH 584 – Mathematical Methods for Algorithmic Trading MATH 586 – Theory and Practice of Fixed Income Modeling MATH 587 – Theory and practice of modeling risk and credit derivatives MATH 588 – Advanced Quantitative Risk Management MATH 589 – Numerical Methods for Partial Differential Equations MATH 590 – Meshfree Methods
View sample course syllabi below. 100 MATH 100 – Introduction to the Profession MATH 119 – Geometry for Architects MATH 122 – Introduction to Calculus MATH 130 – Thinking Mathematically MATH 131 – Mathematics for Sustainability MATH 148 – Preparation for Calculus MATH 151 – Calculus I MATH 152 – Calculus II MATH 180 – Fundamentals of Discrete Mathematics 200 MATH 225 – Introductory Statistics MATH 230 – Introduction to Discrete Mathematics MATH 251 – Multivariate and Vector Calculus MATH 252 – Introduction to Differential Equations 300 MATH 300 – Perspectives in Analysis MATH 332 – Elementary Linear Algebra MATH 333 – Matrix Algebra and Complex Variables MATH 350 – Introduction to Computational Mathematics MATH 374 – Probability and Statistics for Electrical and Computer Engineers MATH 380 – Introduction to Mathematical Modeling 400 MATH 400 – Real Analysis MATH 402 – Complex Analysis MATH 405 – Introduction to Iteration and Chaos MATH 410 – Number Theory MATH 420 – Geometry MATH 425 – Statistical Methods MATH 430 – Applied Algebra MATH 431 – Computational Algebraic Geometry MATH 435 – Linear Optimization MATH 446 and 546 – Introduction to Time Series MATH 453 – Combinatorics MATH 454 – Graph Theory and Applications MATH 461 – Fourier Series and Boundary-Value Problems MATH 474 – Probability and Statistics MATH 475 – Probability MATH 476 – Statistics MATH 477 – Numerical Linear Algebra MATH 478 – Numerical Methods for Differential Equations MATH 481 – Introduction to Stochastic Processes Math 483 - Design and Analysis of Experiments MATH 484 and 564 – Regression/Applied Statistics MATH 485 – Introduction to Mathematical Finance MATH 486 – Mathematical Modeling I MATH 488 – Ordinary Differential Equations and Dynamical Systems MATH 489 – Partial Differential Equations MATH 497 – Special Problems in Mathematica 500 MATH 500 – Applied Analysis I MATH 501 – Applied Analysis II MATH 512 – Partial Differential Equations MATH 515 – Ordinary Differential Equations and Dynamical Systems MATH 519 – Complex Analysis MATH 522 – Mathematical Modeling MATH 525 – Statistical Models and Methods MATH 527 – Machine Learning for Finance MATH 530 – Applied and Computational Algebra MATH 532 – Linear Algebra MATH 535 – Optimization I MATH 540 – Probability MATH 542 – Stochastic Processes MATH 543 – Stochastic Analysis MATH 544 – Stochastic Dynamics MATH 545 – Stochastic Partial Differential Equations MATH 446 and 546 – Introduction to Time Series MATH 548 – Mathematical Finance I MATH 550 – Topology MATH 553 – Discrete Applied Mathematics I MATH 554 – Discrete Applied Mathematics II MATH 556 – Metric Spaces MATH 557 – Probabilistic Methods in Combinatorics MATH 561 - Algebraic and geometric methods in statistics MATH 563 – Mathematical Statistics MATH 484 and 564 – Regression/Applied Statistics MATH 565 – Monte Carlo Methods in Finance MATH 566 – Multivariate Statistical Analysis Math 567 – Design and Analysis of Experiments MATH 569 – Statistical Learning MATH 571 – Data Preparation and Analysis MATH 572 – Data Science Practicum MATH 573 – Reliable Mathematical Software MATH 574 – Bayesian Computational Statistics MATH 577 – Computational Mathematics I MATH 578 – Computational Mathematics II MATH 579 – Complexity of Numerical Problems MATH 581 – Finite Elements MATH 582 – Mathematical Finance II MATH 584 – Mathematical Methods for Algorithmic Trading MATH 586 – Theory and Practice of Fixed Income Modeling MATH 587 – Theory and practice of modeling risk and credit derivatives MATH 588 – Advanced Quantitative Risk Management MATH 589 – Numerical Methods for Partial Differential Equations MATH 590 – Meshfree Methods
