Physical Science Analytics

2025 Fall
#23291
PHYSICS 5BL 103 - LAB 103 offered through Physics

Introduction to Experimental Physics I

Aug 27, 2025 - Dec 12, 2025
Tu, Th
01:00 pm - 03:29 pm
Birge 31
Class #:23291
Units:2

Instruction Mode: In-Person Instruction

Open Seats

2 Unreserved Seats

PHYSICS 5BL - LAB 103 Introduction to Experimental Physics I more detail
Part one of a two-semester laboratory sequence to introduce students to experimental physics and prepare them for research. Covers a variety of modern and historical experiments, emphasizing data analysis, clear scientific communication, and development of skills on modern equipment. Successor to the Physics H7 series.
2025 Fall
#23192
PHYSICS 5BL 102 - LAB 102 offered through Physics

Introduction to Experimental Physics I

Aug 27, 2025 - Dec 12, 2025
Mo, We
11:00 am - 01:29 pm
Birge 31
Class #:23192
Units:2

Instruction Mode: In-Person Instruction

No Open Seats
PHYSICS 5BL - LAB 102 Introduction to Experimental Physics I more detail
Part one of a two-semester laboratory sequence to introduce students to experimental physics and prepare them for research. Covers a variety of modern and historical experiments, emphasizing data analysis, clear scientific communication, and development of skills on modern equipment. Successor to the Physics H7 series.
2025 Fall
#23191
PHYSICS 5BL 101 - LAB 101 offered through Physics

Introduction to Experimental Physics I

Aug 27, 2025 - Dec 12, 2025
Tu, Th
10:00 am - 12:29 pm
Birge 31
Class #:23191
Units:2

Instruction Mode: In-Person Instruction

No Open Seats
PHYSICS 5BL - LAB 101 Introduction to Experimental Physics I more detail
Part one of a two-semester laboratory sequence to introduce students to experimental physics and prepare them for research. Covers a variety of modern and historical experiments, emphasizing data analysis, clear scientific communication, and development of skills on modern equipment. Successor to the Physics H7 series.
2025 Fall
#23980
PHYSICS 188 102 - DIS 102 offered through Physics

Bayesian Data Analysis and Machine Learning for Physical Sciences

Aug 27, 2025 - Dec 12, 2025
We
02:00 pm - 02:59 pm
Cory 241
Class #:23980
Units:4

Instruction Mode: In-Person Instruction

Open Seats

13 Unreserved Seats

PHYSICS 188 - DIS 102 Bayesian Data Analysis and Machine Learning for Physical Sciences more detail
The course design covers data analysis and machine learning, highlighting their importance to the physical sciences. It covers data analysis with linear and nonlinear regression, logistic regression, and gaussian processes. It covers concepts in machine learning such as unsupervised and supervised regression and classification learning. It develops Bayesian statistics and information theory, covering concepts such as information, entropy, posteriors, MCMC, latent variables, graphical models and hierarchical Bayesian modeling. It covers numerical analysis topics such as integration and ODE, linear algebra, multi-dimensional optimization, and Fourier transforms.
2025 Fall
#23914
PHYSICS 188 101 - DIS 101 offered through Physics

Bayesian Data Analysis and Machine Learning for Physical Sciences

Aug 27, 2025 - Dec 12, 2025
We
12:00 pm - 12:59 pm
Stanley 177
Class #:23914
Units:4

Instruction Mode: In-Person Instruction

Open Seats

10 Unreserved Seats

PHYSICS 188 - DIS 101 Bayesian Data Analysis and Machine Learning for Physical Sciences more detail
The course design covers data analysis and machine learning, highlighting their importance to the physical sciences. It covers data analysis with linear and nonlinear regression, logistic regression, and gaussian processes. It covers concepts in machine learning such as unsupervised and supervised regression and classification learning. It develops Bayesian statistics and information theory, covering concepts such as information, entropy, posteriors, MCMC, latent variables, graphical models and hierarchical Bayesian modeling. It covers numerical analysis topics such as integration and ODE, linear algebra, multi-dimensional optimization, and Fourier transforms.
2025 Fall
#23861
PHYSICS 188 001 - LEC 001 offered through Physics

Bayesian Data Analysis and Machine Learning for Physical Sciences

Aug 27, 2025 - Dec 12, 2025
Tu, Th
09:30 am - 10:59 am
Anthro/Art Practice Bldg 160
Class #:23861
Units:4

Instruction Mode: In-Person Instruction

Open Seats

25 Unreserved Seats

PHYSICS 188 - LEC 001 Bayesian Data Analysis and Machine Learning for Physical Sciences more detail
The course design covers data analysis and machine learning, highlighting their importance to the physical sciences. It covers data analysis with linear and nonlinear regression, logistic regression, and gaussian processes. It covers concepts in machine learning such as unsupervised and supervised regression and classification learning. It develops Bayesian statistics and information theory, covering concepts such as information, entropy, posteriors, MCMC, latent variables, graphical models and hierarchical Bayesian modeling. It covers numerical analysis topics such as integration and ODE, linear algebra, multi-dimensional optimization, and Fourier transforms.
2025 Fall
#22538
PHYSICS 129 102 - DIS 102 offered through Physics

Particle Physics

Aug 27, 2025 - Dec 12, 2025
We
05:00 pm - 05:59 pm
Genetics & Plant Bio 107
Class #:22538
Units:4

Instruction Mode: In-Person Instruction

Open Seats

13 Unreserved Seats

PHYSICS 129 - DIS 102 Particle Physics more detail
Tools of particle and nuclear physics. Properties, classification, and interaction of particles including the quark-gluon constituents of hadrons. High energy phenomena analyzed by quantum mechanical methods. Course will survey the field including some related topics in nuclear physics. Some knowledge of Python required. Students who have not taken Physics 77 or Data Science 8 are encouraged to complete the Python tutorials provided by the Physics Department.
2025 Fall
#22537
PHYSICS 129 101 - DIS 101 offered through Physics

Particle Physics

Aug 27, 2025 - Dec 12, 2025
Mo
04:00 pm - 04:59 pm
Genetics & Plant Bio 103
Class #:22537
Units:4

Instruction Mode: In-Person Instruction

Open Seats

15 Unreserved Seats

PHYSICS 129 - DIS 101 Particle Physics more detail
Tools of particle and nuclear physics. Properties, classification, and interaction of particles including the quark-gluon constituents of hadrons. High energy phenomena analyzed by quantum mechanical methods. Course will survey the field including some related topics in nuclear physics. Some knowledge of Python required. Students who have not taken Physics 77 or Data Science 8 are encouraged to complete the Python tutorials provided by the Physics Department.
2025 Fall
#22536
PHYSICS 129 001 - LEC 001 offered through Physics

Particle Physics

Aug 27, 2025 - Dec 12, 2025
Tu, Th
11:00 am - 12:29 pm
Physics Building 251
Class #:22536
Units:4

Instruction Mode: In-Person Instruction

Open Seats

28 Unreserved Seats

PHYSICS 129 - LEC 001 Particle Physics more detail
Tools of particle and nuclear physics. Properties, classification, and interaction of particles including the quark-gluon constituents of hadrons. High energy phenomena analyzed by quantum mechanical methods. Course will survey the field including some related topics in nuclear physics. Some knowledge of Python required. Students who have not taken Physics 77 or Data Science 8 are encouraged to complete the Python tutorials provided by the Physics Department.
2025 Fall
#23440
PHYSICS 112 102 - DIS 102 offered through Physics

Introduction to Statistical and Thermal Physics

Aug 27, 2025 - Dec 12, 2025
We
04:00 pm - 04:59 pm
Dwinelle 88
Class #:23440
Units:4

Instruction Mode: In-Person Instruction

Open Seats

21 Unreserved Seats

PHYSICS 112 - DIS 102 Introduction to Statistical and Thermal Physics more detail
Basic concepts of statistical mechanics, microscopic basis of thermodynamics and applications to macroscopic systems, condensed states, phase transformations, quantum distributions, elementary kinetic theory of transport processes, fluctuation phenomena. Some knowledge of Python required for homework assignments. Students who have not taken Physics 77 or Data Science 8 are encouraged to complete the Python tutorials provided by the Physics Department.
Subscribe to Physical Science Analytics