Matt’s Profile

Student
active 4 months ago
Matt
Major Program of Study
Mathematics

My Courses

ECON 1101: MACROECONOMICS

ECON 1101: MACROECONOMICS

Fundamental economic ideas and the operation of the economy on a national scale. Production distribution and consumption of goods and services, the exchange process, the role of government, the national income and its distribution, GDP, consumption function, savings function, investment spending, the multiplier principle and the influence of government spending on income and output. Analysis of monetary policy, including the banking system and the Federal Reserve System.

PHYS 1441

PHYS 1441

This is the first of a three-semester sequence of calculus-based physics course that is the foundation to further studies in engineering and technology. The first semester introduces students to concepts and principles of classical mechanics and thermodynamics. Topics include kinematics, Newton’s laws of motion and universal gravitation, work and energy, rotational motion, vibrations, fluids, heat and laws of thermodynamics. Calculus and vector methods are used throughout the course. Computer-based laboratory component of the course illustrates and supplements the lecture material.

MAT 1630 Introduction to Computational Science, FA2019

MAT 1630 Introduction to Computational Science, FA2019

A project-based introduction to computational thinking and problem solving. Covers a wide range of topics, including data visualization, statistical techniques, simulations of dynamical systems, computational techniques to understand data, using regression to fit models to data, as well as an introduction to some more advanced topics: Monte Carlo simulations, optimization, dynamic programming, image processing, natural language processing, geospatial data analysis and current data science.

MAT 1475/D606 Fall 2019 Bonanome

MAT 1475/D606 Fall 2019 Bonanome

Calculus I

MAT2440 Discrete Structures and Algorithms I, FA2019

MAT2440 Discrete Structures and Algorithms I, FA2019

This course introduces the foundations of discrete mathematics as they apply to computer science, focusing on providing a solid theoretical foundation for further work. Topics include functions, relations, sets, simple proof techniques, Boolean algebra, propositional logic, elementary number theory, writing, analyzing and testing algorithms.

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