Applied Physics (BS): Data Science Emphasis
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Minimum Credit Hours
Maximum Credit Hours
Title
Learning Outcome
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Learning Outcome
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Learning Outcome
Title
Learning Outcome
Title
Learning Outcome
Program Requirements
No more than 3 hours of D credit is allowed in major courses.
Consult with a faculty advisor as early as possible to choose electives.
Requirement 1 — Complete 19 Courses
Note: Phscs 191 should be taken the first semester as a freshman. Phscs 291 should be taken the first semester as a sophomore.
course - Intro to Computer Science 3.0
course - Data Structures 3.0
course - Calculus 2 4.0
course - Intro to Newtonian Mechanics 3.0
course - Intro to Waves, Optics, Thermo 3.0
course - Intro Phscs Careers & Rsrch 1 0.5
course - Intro Electricity & Magnetism 3.0
course - Modern Physics 3.0
course - Intro to Experimental Physics 2.0
course - Computational Physics Lab 1 1.0
course - Dsgn, Fabricatn, Sci Apparatus 2.0
course - Intro Phscs Careers & Rsrch 2 0.5
course - Intro Math Physics 3.0
course - Mechanics 3.0
course - Computational Physics Lab 2 1.0
course - Statistical & Thermal Physics 3.0
course - Physical Reasoning With Data 3.0
course - Computational Physics Lab 3 1.0
course - Stat for Engineers & Scientist 3.0
Requirement 2 — Complete 1 Course
course - Stellar Astrophysics 3.0
course - Galaxies and Cosmology 3.0
course - Electricity & Magnetism 3.0
course - Quantum Mechanics 3.0
course - Introduction to Acoustics 3.0
course - Principles of Optics 3.0
course - Solid State Physics 3.0
Requirement 3 — Complete 9 Hours
course - Intro to Machine Learning 3.0
course - Advanced Machine Learning 3.0
course - Deep Learning 3.0
course - Signals & Systems 4.0
course - Mathematics of Data Science 3.0
course - Num Methods for Linear Algebra 3.0
course - Computational Physics 3.0
course - Theory of Predictive Modeling 3.0
course - Stat Modeling for Data Science 3.0
course - Statistical Modeling 1 3.0
course - Intro to Bayesian Statistics 3.0
course - Data Science Ecosystems 3.0
course - Statistical Modeling 2 3.0
course - Data Science Process 3.0
Requirement 4 — Complete 1 Option
Note: Option 4.1 is preferred.
Option 4.1 — Complete 4 Courses
course - Elementary Linear Algebra 2.0
course - Computational Linear Algebra 1.0
course - Calculus of Several Variables 3.0
course - Ordinary Differential Equation 3.0
Option 4.2 — Complete 2 Courses
course - Math for Engr 1 4.0
course - Math for Engineering 2 4.0
Requirement 5 — Complete 1 Requirement
Complete a capstone project or senior thesis including the following: A. Choose a research mentor and group as early as possible, starting with information in Phscs 191 and 291, and discussions with faculty, your advisor, and the capstone project coordinator or senior thesis coordinator. It is best to start as a freshman or sophomore. Interdisciplinary work in other departments or in internships is possible.
Requirement 5.1 — Complete 2 Hours
B. Complete 2 hours of one of the following:
course - Capstone in Applied Phscs - You may take up to 2.0 credit hours 0.5v
course - Senior Thesis - You may take up to 2.0 credit hours 0.5v
Requirement 6 — Obtain confirmation from your advisement center that you have completed the following:
Students are required to take the Physics "Major Field Test" the last semester before they graduate. The test is a standardized assessment of undergraduate physics written by ETS (Educational Testing Service). The ETS website contains a description of the exam and sample problems: http://www.ets.org/mft/about/content/physics. Results of the exam do not appear on the transcript or affect the GPA. Students should contact the Physics undergraduate secretary to make arrangements for taking the exam; typically it's done in the Testing Center before mid-semester