Everything should be made as simple as possible, but not simpler. Albert Einstein

Lecture Notes

Scientific Computing with MATLAB

Data Science with Python

Teaching

Education and teaching is an integral part of the CDS Lab. The following is an incomplete list of courses that have been offered in the past or will be offered in the future:

Course Title: Simulation and R
Level: Data 3433 -- junior undergraduate course
When: Spring / Fall 2020
Where: College of Science, UT Arlington
Instructor: Dr. Amir Shahmoradi
Requirements: Prior familiarity with basic programming conceps.

Course Title: Data Science with Python
Level: PHYS 5391 -- graduate course
When: Fall 2019 / Spring 2020
Where: College of Science, UT Arlington
Textbook: Data Science with Python
Instructor: Dr. Amir Shahmoradi

Course Title: Methods of Applied Physics II - Computers in Physics
Level: PHYS 6302 - 001 -- graduate course
When: Summer 2019
Where: College of Science, UT Arlington
Textbook: Data Science with Python, Data Science with MATLAB
Instructor: Dr. Amir Shahmoradi

Course Title: Introduction to Computer Programming
Level: COE 301 / ASE 301 -- senior undergraduate course
When: Fall 2017 -- MWF 9-10 AM
Where: Department of Aerospace Engineering and Engineering Mechanics, UT Austin (UTC 4.110)
Instructor: Dr. Amir Shahmoradi
Requirements: Aerospace Engineering 211K or Computational Engineering 211K

Course Title: Engineering Computation Lab
Level: COE 111L -- undergraduate course
When: Spring 2017
Where: Department of Aerospace Engineering and Engineering Mechanics, The University of Texas at Austin
Textbook: Instructor's online lecture notes
Instructor: Dr. Amir Shahmoradi
Requirements: Aerospace Engineering 211K or Computational Engineering 211K

Course Title: Particle Astrophysics
Level: PH 4630 -- senior undergraduate course
When: Spring 2011
Where: Department of Physics, Michigan Tech University
Textbook: Particle Astrophysics, by D. H. Perkins
Instructor: Dr. Amir Shahmoradi

Course Title: Review of undergraduate Physics (GRE Physics preparation)
Level: PH 5090 -- senior undergraduate course
When: Summer 2011
Where: Department of Physics, Michigan Tech University
Textbook: topics primarily following the Fundamentals of Physics (6th edition), by Halliday, Resnick, and Walker
Instructor: Dr. Amir Shahmoradi

Other

Course Title: Foundations of Predictive Computational Science
Level: CSE 397 -- senior graduate course
When: Fall 2016
Where: Institute for Computational Engineering and Sciences, The University of Texas at Austin
Textbook: J.T. Oden Lecture Notes
Instructor: Dr. J. Tinsley Oden

Course Title: General Physics I - Mech, Heat, Sound
Level: PH 302K -- junior undergraduate course
When: 2013-2015
Where: Department of Physics, The University of Texas at Austin
Textbook: College Physics, by Raymond Serway, Chris Vuille
Instructor: Dr. Raymond Lee Orbach

Course Title: General Physics I - Mech, Heat, Sound
Level: PH 302K -- junior undergraduate course
When: Spring 2013
Where: Department of Physics, The University of Texas at Austin
Textbook: College Physics, by Raymond Serway, Chris Vuille
Instructor: Dr. Nathan Erickson

Course Title: Introduction to Physics II
Level: PH 302L -- junior undergraduate course
When: Spring 2012, Fall 2012
Where: Department of Physics, The University of Texas at Austin
Instructor: Dr. Nathan Erickson

Course Title: Engineering Physics II
Level: PH 303 -- junior undergraduate course
When: Fall 2011
Where: Department of Physics, The University of Texas at Austin
Instructor: Dr. G.W. Hoffmann

Course Title: Quantum Mechanics I
Level: PH 5410 -- graduate course
When: Fall 2009
Where: Department of Physics, Michigan Tech University
Textbook: Principles of Quantum Mechanics, by Shankar
Instructor: Dr. Ranjit Pati

Course Title: Quantum Physics II
Level: PH 3411 -- senior undergraduate course
When: Spring 2009
Where: Department of Physics, Michigan Tech University
Textbook: Introduction to Quantum Mechanics, by David Griffiths
Instructor: Dr. Donald Beck

Course Title: University Physics I
Level: PH 2100 -- junior undergraduate course
When: Spring 2008
Where: Department of Physics, Michigan Tech University
Instructor: Dr. Jonathan Jaszczak

Course Title: University Physics Laboratory I
Level: PH 1100 -- junior undergraduate course
When: Fall 2007, Fall 2008
Where: Department of Physics, Michigan Tech University
Instructor: Michael R. Meyer

Course Title: Astrophysics I
Level: graduate course
When: Spring 2007
Where: Department of Physics, Sharif University of Technology
Instructor: Dr. Mahmoud Bahmanabadi

Recent teaching-related news, events and ideas

Primary Tags: teaching

Data Science with Python - Fall 2019
Amir Shahmoradi • Aug 22, 2019 • Tags: physics data_science teaching graduate programming undergraduate Python

This 2019 fall semester, I will be teaching PHYS 5391 - Data Science with Python in the College of Science at the University of Texas at Arlington. The focus of the course will be on using the high-level programming language Python to quickly review the foundations of scientific programming, and then make effective use of the tools available in Python towards learning Data Science concepts and solving relevant real-world problems. All the course material and news will be available on-the-fly on the website that I have designed for this course.

Course Webpage

For comments and sharing, visit the post's permanent page: Data Science with Python - Fall 2019
Methods of Applied Physics II - Computers in Physics - Summer 2019
Amir Shahmoradi • May 23, 2019 • Tags: physics teaching graduate programming undergraduate Python MATLAB

This 2019 summer semester, I will be teaching PHYS 6302 - 001 Methods of Applied Physics II - Computers in Physics in the Department of Physics at the University of Texas at Arlington. The focus of the course will be on using high-level programming languages (such as MATLAB and Python) to learn the foundations of programming in general, and make effective use of the tools available in these languages towards solving Physics problems. All the course material and news will be available on-the-fly on the website that I have designed for this course.

Course Webpage

For comments and sharing, visit the post's permanent page: Methods of Applied Physics II - Computers in Physics - Summer 2019
Introduction to Computer Programming - Fall 2017
Amir Shahmoradi • Aug 29, 2017 • Tags: teaching undergraduate programming engineering aerospace MATLAB

This semester I will be teaching the Introduction to Computer Programming for Engineering Computation Program at UT Austin as well as the Department of Aerospace Engineering and Engineering Mechanics. The focus of the course will be on MATLAB, C++, and Fortran programming languages. All the course material and news will be available on-the-fly on the website that I have designed for this course.

Course Webpage

For comments and sharing, visit the post's permanent page: Introduction to Computer Programming - Fall 2017
Engineering Computation Lab - Spring 2017
Amir Shahmoradi • Jan 16, 2017 • Tags: teaching undergraduate programming engineering aerospace Python

This semester I will be teaching the Engineering Computation Lab for Aerospace undergraduate students. All the course material and news will be available on-the-fly on the website that I have designed for this course.

For comments and sharing, visit the post's permanent page: Engineering Computation Lab - Spring 2017
101. You and Your Career: Hamming’s crash-course on career success
Amir Shahmoradi • Feb 11, 2016 • Tags: success research teaching amir_shahmoradi ideas

Reference: 101. You and Your Career: Hamming’s crash-course on career success

Recently, it came to my attention that February 11, 2016, marks the 101st anniversary of the birth of Richard W. Hamming, a well-known mathematician and computer scientist of the 20th century. As a researcher who has always sought career advice from great minds, I have found Hamming’s book on The Art of Doing Science and Engineering: Learning to Learn an enlightening read that helped me improve my daily scientific and personal life. This coincidence in time prompted me to revise and improve my summary of Hamming’s advice on career success, have it reviewed and criticized by two senior highly successful scientists, and write in the form of a concise, readable essay for those interested. There are likely many young researchers and graduate students, like myself, who are very enthusiastic and receptive to career advice from one of the greatest minds of the 20th century.

The essay focuses on advice for career success by Richard W. Hamming. Unlike the scientific works of Hamming, his valuable thoughts and advice on the art of doing scientific research and achieving career success have been relatively less recognized and appreciated. Hamming summarized his personal experience and ideas in his book titled “The Art of Doing Science and Engineering: Learning to Learn” in his final years. In his book, Hamming provides valuable practical lessons on how to excel in research and career, based on his own lifelong scientific career experience and his close friendship and collaboration with some of the greatest minds of the 20th century, such as Claude Shannon and Nobel laureate Richard Feynman.

For comments and sharing, visit the post's permanent page: 101. You and Your Career: Hamming’s crash-course on career success

Older teaching-related news

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