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Physics, as one of the natural sciences, aims to discover the fundamental laws of the universe. Using theoretical and experimental methods, physicists study the basic structure of matter, space, and time. Knowledge of these laws allows us to understand the fascinating world of natural phenomena as well as to create new technologies that benefit every aspect of human life. The main branches of classical physics are mechanics, thermodynamics, electromagnetism and optics. In PHYS 1.3/PHYS 1441 we will explore the first two branches. The topics we will discuss in this course include Newton’s laws of motion and universal gravitation, the motions of planets and satellites, the properties of liquids and gases, and the nature of heat. In this course we use tools of calculus such as derivatives and integrals.

Physics, as one of the natural sciences, aims to discover the fundamental laws of the universe. Using theoretical and experimental methods, physicists study the basic structure of matter, space, and time. Knowledge of these laws allows us to understand the fascinating world of natural phenomena as well as to create new technologies that benefit every aspect of human life. The main branches of classical physics are mechanics, thermodynamics, electromagnetism and optics. In PHYS 1.3/PHYS 1441 we will explore the first two branches. The topics we will discuss in this course include Newton’s laws of motion and universal gravitation, the motions of planets and satellites, the properties of liquids and gases, and the nature of heat. In this course we use tools of calculus such as derivatives and integrals.

Topics for the course include sample spaces and probabilities, discrete distributions (Binomial, Negative Binomial, Geometric, Hypergeometric, Poisson, and Gamma), continuous distributions (Uniform, Normal, Chi-squared), expectation and variance, hypothesis testing, interval estimation and confidence intervals. There will be extensive use of MS Excel and R, a statistical software program. At the end of the course, students should be able make meaningful connections between statistics and other areas of study, including and social sciences.

Topics for the course include sample spaces and probabilities, discrete distributions (Binomial, Negative Binomial, Geometric, Hypergeometric, Poisson, and Gamma), continuous distributions (Uniform, Normal, Chi-squared), expectation and variance, hypothesis testing, interval estimation and confidence intervals. There will be extensive use of MS Excel and R, a statistical software program. At the end of the course, students should be able make meaningful connections between statistics and other areas of study, including and social sciences.

Topics include functions, limits, differentiation, tangent lines, L’Hôpital’s Rule, Fundamental Theorem of Calculus and Applications.

Topics include functions, limits, differentiation, tangent lines, L’Hôpital’s Rule, Fundamental Theorem of Calculus and Applications.

Topics covered in this course include sample spaces and probabilities, discrete probability distributions (Binomial, Hypergeometric, Poisson), expectation and variance, continuous probability distributions (Normal, Chi- Square), confidence intervals, hypothesis testing, and correlation and regression. Spreadsheets are used throughout the semester. This course, (3 credits, 2 class hrs, 2 lab hrs), satisfies Pathways: Scientific World. Course prerequisite: MAT 1375; Not open to students who have completed MAT 2572.

Topics covered in this course include sample spaces and probabilities, discrete probability distributions (Binomial, Hypergeometric, Poisson), expectation and variance, continuous probability distributions (Normal, Chi- Square), confidence intervals, hypothesis testing, and correlation and regression. Spreadsheets are used throughout the semester. This course, (3 credits, 2 class hrs, 2 lab hrs), satisfies Pathways: Scientific World. Course prerequisite: MAT 1375; Not open to students who have completed MAT 2572.