Class Schedules

Electricity and magnetism, light and optics, including laboratory experiments and demonstrations.  This course does not use calculus, and is appropriate for students pursuing pre-med or for students looking to satisfy a distribution requirement.  This course is not appropriate for students who intend to major in physics, chemistry, or biology with the biochemistry emphasis. Prerequisite(s): PHYS 126 or PHYS 226.

General Education Requirements:

Distribution Requirements:
Natural science and mathematics

Course Materials

Electricity and magnetism, light and optics, including laboratory experiments and demonstrations.  This course does not use calculus, and is appropriate for students pursuing pre-med or for students looking to satisfy a distribution requirement.  This course is not appropriate for students who intend to major in physics, chemistry, or biology with the biochemistry emphasis. Prerequisite(s): PHYS 126 or PHYS 226.

General Education Requirements:

Distribution Requirements:
Natural science and mathematics

Course Materials

Electricity and magnetism, light and optics, including laboratory experiments and demonstrations.  This course does not use calculus, and is appropriate for students pursuing pre-med or for students looking to satisfy a distribution requirement.  This course is not appropriate for students who intend to major in physics, chemistry, or biology with the biochemistry emphasis. Prerequisite(s): PHYS 126 or PHYS 226.

General Education Requirements:

Distribution Requirements:
Natural science and mathematics

Course Materials

A study of electric charge and currents, electric and magnetic fields, electromagnetic waves, and geometrical and physical optics. Three lectures and one two-hour laboratory per week. Students cannot receive credit for both this course and PHYS 222. Prerequisite(s): PHYS 226 and MATH 137 (MATH 137 may also be taken concurrently).

General Education Requirements:
Quantitative Thinking Q3

Distribution Requirements:
Natural science and mathematics

Course Materials

A study of electric charge and currents, electric and magnetic fields, electromagnetic waves, and geometrical and physical optics. Three lectures and one two-hour laboratory per week. Students cannot receive credit for both this course and PHYS 222. Prerequisite(s): PHYS 226 and MATH 137 (MATH 137 may also be taken concurrently).

General Education Requirements:

Distribution Requirements:

Course Materials

A study of electric charge and currents, electric and magnetic fields, electromagnetic waves, and geometrical and physical optics. Three lectures and one two-hour laboratory per week. Students cannot receive credit for both this course and PHYS 222. Prerequisite(s): PHYS 226 and MATH 137 (MATH 137 may also be taken concurrently).

General Education Requirements:

Distribution Requirements:

Course Materials

A study of electric charge and currents, electric and magnetic fields, electromagnetic waves, and geometrical and physical optics. Three lectures and one two-hour laboratory per week. Students cannot receive credit for both this course and PHYS 222. Prerequisite(s): PHYS 226 and MATH 137 (MATH 137 may also be taken concurrently).

General Education Requirements:
Quantitative Thinking Q3

Distribution Requirements:
Natural science and mathematics

Course Materials

Principles of optics and wave phenomena, including the fundamental properties of light, geometrical optics, polarization, interference and diffraction. Laboratory includes basic optical experiments and an independent project. Recent independent projects have included: holography, fiber-optics communications, microwave optics and telescope building. Three lectures and one three-hour laboratory per week. Prerequisite(s): PHYS 227 or consent of instructor.

General Education Requirements:

Distribution Requirements:
Natural science and mathematics

Course Materials

Principles of optics and wave phenomena, including the fundamental properties of light, geometrical optics, polarization, interference and diffraction. Laboratory includes basic optical experiments and an independent project. Recent independent projects have included: holography, fiber-optics communications, microwave optics and telescope building. Three lectures and one three-hour laboratory per week. Prerequisite(s): PHYS 227 or consent of instructor.

General Education Requirements:

Distribution Requirements:
Natural science and mathematics

Course Materials

This course is an introduction to laboratory methods that are useful in experimental physics and other laboratory-based disciplines, with an emphasis on computer interfacing techniques. Topics will include basic analog electronics, fundamental instrumentation such as analog-digital converters and digital oscilloscopes, and computer interfacing using LabView. Student will design and construct several significant computer interfacing projects throughout the semester. Since this course provides the foundation for advanced experimental work and research, students should take this course in their sophomore or junior year. Prerequisite(s): PHYS 227.

General Education Requirements:
Quantitative Thinking Q1

Distribution Requirements:
Natural science and mathematics

Course Materials

This course is an introduction to laboratory methods that are useful in experimental physics and other laboratory-based disciplines, with an emphasis on computer interfacing techniques. Topics will include basic analog electronics, fundamental instrumentation such as analog-digital converters and digital oscilloscopes, and computer interfacing using LabView. Student will design and construct several significant computer interfacing projects throughout the semester. Since this course provides the foundation for advanced experimental work and research, students should take this course in their sophomore or junior year. Prerequisite(s): PHYS 227.

General Education Requirements:

Distribution Requirements:

Course Materials

This course is an introduction to laboratory methods that are useful in experimental physics and other laboratory-based disciplines, with an emphasis on computer interfacing techniques. Topics will include basic analog electronics, fundamental instrumentation such as analog-digital converters and digital oscilloscopes, and computer interfacing using LabView. Student will design and construct several significant computer interfacing projects throughout the semester. Since this course provides the foundation for advanced experimental work and research, students should take this course in their sophomore or junior year. Prerequisite(s): PHYS 227.

General Education Requirements:

Distribution Requirements:

Course Materials

This course introduces students to coding and computational methods, focusing on developing computation-based skills that are critical for practicing physicists. Students process experimental data using statistical tools, study the implications of realistic physical models using a toolbox of numerical methods, and visualize information in meaningful formats. The course starts with an introduction to coding (in Python) and a survey of data manipulation tools (e.g., reading, writing, analyzing statistically, etc.). The focus is on skills that help students in labs, research, and anywhere else they need to extract physical insight from data. After the introduction to data analysis, the course transitions into a survey of numerical techniques which facilitate quantitative analysis of theoretical models describing complex physical phenomena, thereby creating a bridge between experimental/observational and theoretical physics. The lab provides hands-on experience in the application of computational skills discussed in lecture to realistic physical models drawn from a wide range of physics subdisciplines. Projects in the lab are implemented using Jupyter notebooks, via the Google Colaboratory environment. Students write documentation in Latex and Markdown. No previous experience with any of these is assumed. Prerequisite(s): PHYS 331

General Education Requirements:

Distribution Requirements:
Natural science and mathematics

Course Materials

This course introduces students to coding and computational methods, focusing on developing computation-based skills that are critical for practicing physicists. Students process experimental data using statistical tools, study the implications of realistic physical models using a toolbox of numerical methods, and visualize information in meaningful formats. The course starts with an introduction to coding (in Python) and a survey of data manipulation tools (e.g., reading, writing, analyzing statistically, etc.). The focus is on skills that help students in labs, research, and anywhere else they need to extract physical insight from data. After the introduction to data analysis, the course transitions into a survey of numerical techniques which facilitate quantitative analysis of theoretical models describing complex physical phenomena, thereby creating a bridge between experimental/observational and theoretical physics. The lab provides hands-on experience in the application of computational skills discussed in lecture to realistic physical models drawn from a wide range of physics subdisciplines. Projects in the lab are implemented using Jupyter notebooks, via the Google Colaboratory environment. Students write documentation in Latex and Markdown. No previous experience with any of these is assumed. Prerequisite(s): PHYS 331

General Education Requirements:

Distribution Requirements:

Course Materials

This course introduces students to coding and computational methods, focusing on developing computation-based skills that are critical for practicing physicists. Students process experimental data using statistical tools, study the implications of realistic physical models using a toolbox of numerical methods, and visualize information in meaningful formats. The course starts with an introduction to coding (in Python) and a survey of data manipulation tools (e.g., reading, writing, analyzing statistically, etc.). The focus is on skills that help students in labs, research, and anywhere else they need to extract physical insight from data. After the introduction to data analysis, the course transitions into a survey of numerical techniques which facilitate quantitative analysis of theoretical models describing complex physical phenomena, thereby creating a bridge between experimental/observational and theoretical physics. The lab provides hands-on experience in the application of computational skills discussed in lecture to realistic physical models drawn from a wide range of physics subdisciplines. Projects in the lab are implemented using Jupyter notebooks, via the Google Colaboratory environment. Students write documentation in Latex and Markdown. No previous experience with any of these is assumed. Prerequisite(s): PHYS 331

General Education Requirements:

Distribution Requirements:

Course Materials

This course covers advanced topics in astrophysics. It includes spectroscopy of stars, the interaction of light and matter in stellar atmospheres and interstellar medium, nucleosynthesis and the interior of stars, the structure of the Milky Way galaxy and the evidence for dark matter, properties and the formation of different types of galaxies, large-scale structure of the Universe, and observational tests of cosmology. Three hours per week. Prerequisite(s): PHYS 113 and PHYS 331, or consent of the instructor.

General Education Requirements:

Distribution Requirements:
Natural science and mathematics

Course Materials

The fundamental principles of classical mechanics are discussed and applied to problems of contemporary interest. Topics include: charged particle motion in electromagnetic fields, oscillations and resonance, central force motion including the Kepler problem and Rutherford scattering, Lagrangian and Hamiltonian formulations of classical dynamics, symmetry and conservation laws, non-inertial reference frames, rigid body dynamics and applications, and an introduction to non-linear dynamics. Three lectures, problem discussions, and 1 one-hour laboratory per week. Prerequisite(s): PHYS 370

General Education Requirements:

Distribution Requirements:
Natural science and mathematics

Course Materials

The fundamental principles of classical mechanics are discussed and applied to problems of contemporary interest. Topics include: charged particle motion in electromagnetic fields, oscillations and resonance, central force motion including the Kepler problem and Rutherford scattering, Lagrangian and Hamiltonian formulations of classical dynamics, symmetry and conservation laws, non-inertial reference frames, rigid body dynamics and applications, and an introduction to non-linear dynamics. Three lectures, problem discussions, and 1 one-hour laboratory per week. Prerequisite(s): PHYS 370

General Education Requirements:

Distribution Requirements:
Natural science and mathematics

Course Materials

This course explores the equilibrium and kinetic properties of many-particle systems such as gases, liquids, and solids. The fundamental notions of entropy, temperature, and the Boltzmann relation are rigorously derived from statistical mechanics, and are used to develop other thermodynamic ideas such as chemical potential and free energy. The theory is applied to classical and quantum systems, including photon gases (black-body radiation), Bose-Einstein condensation, fermion systems such as metals and neutron stars, classical ideal gases, vibrations in solids (phonons), chemical reactions, semiconductors, and transport phenomena.  Three lectures per week. Prerequisite(s): PHYS 331 and MATH 237.

General Education Requirements:

Distribution Requirements:
Natural science and mathematics

Course Materials

General Education Requirements:

Distribution Requirements:
Natural science and mathematics

Course Materials

In this special “Research in Astrophysics” topics class, we will explore the rich data set coming from the MACRO science program on B[e] stars. We will dive into the primary astrophysical literature, analyze and interpret RLMT grism spectra of dozens of B[e] stars, quantify the properties of variability in these sources, and publish our results in a peer-reviewed journal. No previous research experience is required. Class will meet virtually to enable members of the MACRO Consortium from other institutions to participate.

General Education Requirements:

Distribution Requirements:
Natural science and mathematics

Course Materials

In this special “Research in Astrophysics” topics class, we will explore the rich data set coming from the MACRO science program on B[e] stars. We will dive into the primary astrophysical literature, analyze and interpret RLMT grism spectra of dozens of B[e] stars, quantify the properties of variability in these sources, and publish our results in a peer-reviewed journal. No previous research experience is required. Class will meet virtually to enable members of the MACRO Consortium from other institutions to participate.

General Education Requirements:

Distribution Requirements:
Natural science and mathematics

Course Materials

Mechanics, heat and sound, including laboratory experiments and demonstrations. This course does not use calculus, has no prerequisites, and is appropriate for students pursuing pre-med or for students looking to satisfy a science distribution requirement.  This course does not count toward the physics major or minor.  This course is not appropriate for students who intend to major in physics, chemistry, or biology with the biochemistry emphasis.

General Education Requirements:
Quantitative Thinking Q1

Distribution Requirements:
Natural science and mathematics

Course Materials

Mechanics, heat and sound, including laboratory experiments and demonstrations. This course does not use calculus, has no prerequisites, and is appropriate for students pursuing pre-med or for students looking to satisfy a science distribution requirement.  This course does not count toward the physics major or minor.  This course is not appropriate for students who intend to major in physics, chemistry, or biology with the biochemistry emphasis.

General Education Requirements:
Quantitative Thinking Q1

Distribution Requirements:
Natural science and mathematics

Course Materials

Mechanics, heat and sound, including laboratory experiments and demonstrations. This course does not use calculus, has no prerequisites, and is appropriate for students pursuing pre-med or for students looking to satisfy a science distribution requirement.  This course does not count toward the physics major or minor.  This course is not appropriate for students who intend to major in physics, chemistry, or biology with the biochemistry emphasis.

General Education Requirements:
Quantitative Thinking Q1

Distribution Requirements:
Natural science and mathematics

Course Materials

This is a course on the current status of the most promising alternative and renewable energy options from a primarily scientific and technological perspective. Current methods of electricity generation and transportation energy sources will be briefly reviewed (fossil fuels, nuclear fission, and hydroelectric), including discussion of their limitations and environmental consequences. The focus of the course will be on understanding the scientific basis of alternative and renewable energy sources, and their promise and technological challenges for wide scale implementation. Biofuels, wind, photovoltaics, concentrated solar power, hydrogen, nuclear fusion, and geothermal will be considered in depth.

General Education Requirements:
Quantitative Thinking Q2

Distribution Requirements:
Natural science and mathematics

Course Materials

Varies by semester. Consult the department or class schedule for current listing.

General Education Requirements:

Distribution Requirements:
Natural science and mathematics

Course Materials

A study of motion, including Newton's Law of Motion, conservation of energy and momentum, rotational kinematics and dynamics, oscillations, waves in elastic media and thermal properties of matter. Three lectures and one two-hour laboratory per week. Students cannot receive credit for both this course and PHYS 221. Prerequisite(s): Concurrent or previous registration in MATH 135 or MATH 137; or a 4 or 5 on the Advanced Placement AB or BC Calculus exam.

General Education Requirements:
Quantitative Thinking Q1

Distribution Requirements:
Natural science and mathematics

Course Materials

A study of motion, including Newton's Law of Motion, conservation of energy and momentum, rotational kinematics and dynamics, oscillations, waves in elastic media and thermal properties of matter. Three lectures and one two-hour laboratory per week. Students cannot receive credit for both this course and PHYS 221. Prerequisite(s): Concurrent or previous registration in MATH 135 or MATH 137; or a 4 or 5 on the Advanced Placement AB or BC Calculus exam.

General Education Requirements:
Quantitative Thinking Q1

Distribution Requirements:
Natural science and mathematics

Course Materials

A study of motion, including Newton's Law of Motion, conservation of energy and momentum, rotational kinematics and dynamics, oscillations, waves in elastic media and thermal properties of matter. Three lectures and one two-hour laboratory per week. Students cannot receive credit for both this course and PHYS 221. Prerequisite(s): Concurrent or previous registration in MATH 135 or MATH 137; or a 4 or 5 on the Advanced Placement AB or BC Calculus exam.

General Education Requirements:
Quantitative Thinking Q1

Distribution Requirements:
Natural science and mathematics

Course Materials

A study of motion, including Newton's Law of Motion, conservation of energy and momentum, rotational kinematics and dynamics, oscillations, waves in elastic media and thermal properties of matter. Three lectures and one two-hour laboratory per week. Students cannot receive credit for both this course and PHYS 221. Prerequisite(s): Concurrent or previous registration in MATH 135 or MATH 137; or a 4 or 5 on the Advanced Placement AB or BC Calculus exam.

General Education Requirements:
Quantitative Thinking Q1

Distribution Requirements:
Natural science and mathematics

Course Materials

This course provides an introductory treatment of the exciting foundations of modern microscopic physics, including special relativity, quantum theory, atomic structure, nuclear structure and elementary particles. The primary goal of the course is to build the solid theoretical foundation in microscopic physics necessary for advanced studies in nearly all science disciplines. In addition to the theoretical treatment of the topics there will be laboratory exercises, which recreate the spirit and excitement of the pioneering experiments. Three lectures, one three-hour laboratory per week. Prerequisite(s): PHYS 227.

General Education Requirements:
Quantitative Thinking Q2

Distribution Requirements:
Natural science and mathematics

Course Materials

This course provides an introductory treatment of the exciting foundations of modern microscopic physics, including special relativity, quantum theory, atomic structure, nuclear structure and elementary particles. The primary goal of the course is to build the solid theoretical foundation in microscopic physics necessary for advanced studies in nearly all science disciplines. In addition to the theoretical treatment of the topics there will be laboratory exercises, which recreate the spirit and excitement of the pioneering experiments. Three lectures, one three-hour laboratory per week. Prerequisite(s): PHYS 227.

General Education Requirements:
Quantitative Thinking Q2

Distribution Requirements:
Natural science and mathematics

Course Materials

This course provides an introductory treatment of the exciting foundations of modern microscopic physics, including special relativity, quantum theory, atomic structure, nuclear structure and elementary particles. The primary goal of the course is to build the solid theoretical foundation in microscopic physics necessary for advanced studies in nearly all science disciplines. In addition to the theoretical treatment of the topics there will be laboratory exercises, which recreate the spirit and excitement of the pioneering experiments. Three lectures, one three-hour laboratory per week. Prerequisite(s): PHYS 227.

General Education Requirements:
Quantitative Thinking Q2

Distribution Requirements:
Natural science and mathematics

Course Materials

This course introduces students to coding and computational methods, focusing on developing computation-based skills that are critical for practicing physicists. Students process experimental data using statistical tools, study the implications of realistic physical models using a toolbox of numerical methods, and visualize information in meaningful formats. The course starts with an introduction to coding (in Python) and a survey of data manipulation tools (e.g., reading, writing, analyzing statistically, etc.). The focus is on skills that help students in labs, research, and anywhere else they need to extract physical insight from data. After the introduction to data analysis, the course transitions into a survey of numerical techniques which facilitate quantitative analysis of theoretical models describing complex physical phenomena, thereby creating a bridge between experimental/observational and theoretical physics. The lab provides hands-on experience in the application of computational skills discussed in lecture to realistic physical models drawn from a wide range of physics subdisciplines. Projects in the lab are implemented using Jupyter notebooks, via the Google Colaboratory environment. Students write documentation in Latex and Markdown. No previous experience with any of these is assumed. Prerequisite(s): PHYS 227

General Education Requirements:

Distribution Requirements:
Natural science and mathematics

Course Materials

This course introduces students to coding and computational methods, focusing on developing computation-based skills that are critical for practicing physicists. Students process experimental data using statistical tools, study the implications of realistic physical models using a toolbox of numerical methods, and visualize information in meaningful formats. The course starts with an introduction to coding (in Python) and a survey of data manipulation tools (e.g., reading, writing, analyzing statistically, etc.). The focus is on skills that help students in labs, research, and anywhere else they need to extract physical insight from data. After the introduction to data analysis, the course transitions into a survey of numerical techniques which facilitate quantitative analysis of theoretical models describing complex physical phenomena, thereby creating a bridge between experimental/observational and theoretical physics. The lab provides hands-on experience in the application of computational skills discussed in lecture to realistic physical models drawn from a wide range of physics subdisciplines. Projects in the lab are implemented using Jupyter notebooks, via the Google Colaboratory environment. Students write documentation in Latex and Markdown. No previous experience with any of these is assumed. Prerequisite(s): PHYS 227

General Education Requirements:

Distribution Requirements:
Natural science and mathematics

Course Materials

This course introduces students to coding and computational methods, focusing on developing computation-based skills that are critical for practicing physicists. Students process experimental data using statistical tools, study the implications of realistic physical models using a toolbox of numerical methods, and visualize information in meaningful formats. The course starts with an introduction to coding (in Python) and a survey of data manipulation tools (e.g., reading, writing, analyzing statistically, etc.). The focus is on skills that help students in labs, research, and anywhere else they need to extract physical insight from data. After the introduction to data analysis, the course transitions into a survey of numerical techniques which facilitate quantitative analysis of theoretical models describing complex physical phenomena, thereby creating a bridge between experimental/observational and theoretical physics. The lab provides hands-on experience in the application of computational skills discussed in lecture to realistic physical models drawn from a wide range of physics subdisciplines. Projects in the lab are implemented using Jupyter notebooks, via the Google Colaboratory environment. Students write documentation in Latex and Markdown. No previous experience with any of these is assumed. Prerequisite(s): PHYS 227

General Education Requirements:

Distribution Requirements:
Natural science and mathematics

Course Materials

This course treats the interactions between electrical charges in free space by developing the concepts of potential, electric and magnetic fields, and electromagnetic induction. Maxwell's equations are developed and used to derive the properties of plane electromagnetic waves in free space. Special emphasis is placed on boundary value problems and other useful mathematical techniques. Three lectures, 1 one-hour laboratory per week. Prerequisite(s): PHYS 227 and MATH 237.

General Education Requirements:

Distribution Requirements:
Natural science and mathematics

Course Materials

This course treats the interactions between electrical charges in free space by developing the concepts of potential, electric and magnetic fields, and electromagnetic induction. Maxwell's equations are developed and used to derive the properties of plane electromagnetic waves in free space. Special emphasis is placed on boundary value problems and other useful mathematical techniques. Three lectures, 1 one-hour laboratory per week. Prerequisite(s): PHYS 227 and MATH 237.

General Education Requirements:

Distribution Requirements:
Natural science and mathematics

Course Materials

The course rigorously covers many fundamental concepts of non-relativistic quantum mechanics, including the Heisenberg uncertainty principle and Pauli exclusion principle, single- and multi-particle stationary states in one, two, and three dimensions, and quantized angular momentum and spin. Schrodinger equation solutions for atomic and nuclear systems are studied, using differential equation, matrix, and perturbation techniques. Three lectures, 1 one-hour laboratory per week. Prerequisite(s): PHYS 370

General Education Requirements:
Quantitative Thinking Q1

Distribution Requirements:
Natural science and mathematics

Course Materials

The course rigorously covers many fundamental concepts of non-relativistic quantum mechanics, including the Heisenberg uncertainty principle and Pauli exclusion principle, single- and multi-particle stationary states in one, two, and three dimensions, and quantized angular momentum and spin. Schrodinger equation solutions for atomic and nuclear systems are studied, using differential equation, matrix, and perturbation techniques. Three lectures, 1 one-hour laboratory per week. Prerequisite(s): PHYS 370

General Education Requirements:
Quantitative Thinking Q1

Distribution Requirements:
Natural science and mathematics

Course Materials

General Education Requirements:

Distribution Requirements:
Natural science and mathematics

Course Materials