Courses

### Scientific Computing

This Course gives an introduction to a wide variety of computational methods outlining both the theory and practice. More modern methods are also included such as machine learning and artificial intelligence. Weekly reading assignments are given from the book:

*Numerical Recipes*, 3rd edition, by William H. Press, Saul A. Teukolsky, William T. Vetterling, Brian P. Flannery.

In the lectures we will introduce each topic and proceed to hands on examples in Matlab.

The course grade is based on weekly homework and a class project. The homework is due the Wednesday after it was assigned.

Resources:

- The syllabus
- The class discussion group and lecture notes
- Matlab installation information
- Python distribution
- R download

### PHYS2325-501: Mechanics

An introductory course on the basic fundamentals of physics. This is a calculus based course which will include some basic integration, differentiation, and discussion of the use of differential equations. Students will learn about the following topics:Â space and time, kinematics, forces, energy and momentum, conservation laws, rotational motion, torques, simple harmonic motion, waves, and basic thermodynamic laws.

Days & Times: Monday & Wednesday 5:30-6:45 p.m.

Office Hours: Monday & Wednesday 8:00-10:00 a.m.

The class has a discussion page which you can sign up for.

The class website is here

### Research: Atmospheric & Space Physics

### Physics 8V30-031: Research

### Physics 2325-001: Mechanics

This is a calculus based course which will include some basic integration, differentiation, and discussion of the use of differential equations. Students will learn about the following topics: space and time, kinematics, forces, energy and momentum, conservation laws, rotational motion, torques, simple harmonic motion, waves, and basic thermodynamic laws.

The class website is here

### Physics 5V49-008: Special Topics in Physics

- General Ionospheric Electrodynamics, Gravity Waves, Greg Earle (1 Lecture)
- Instrumentation
- History of Satellites and Instruments at UTD, Ryan and Russell (1 Lecture)
- GPS, TEC, and spacecraft charging, Phil Anderson (1 Lecture)
- Data analysis and comparison techniques, David Lary (6-7 Lectures) Machine learning, Data assimilation, Bias detection and Nabin talked about Autonomous data collection
- The Effect of the Global Electric Circuit on Clouds and Climate, Brian Tinsley (1 Lecture)