For each degree, the student must fulfill the University requirements set forth in the catalog under which he/she entered. The semester hour requirements may be fulfilled both by classroom hours and research hours. A total of nine one-semester (minimum 3 credit hour) graduate level courses is required for the M.S. in Applied Physics; a "core" of four courses is required of all students. The Applied Physics Committee may waive some course requirements for students who demonstrate a thorough knowledge of material in one or more core/elective course(s). The student will normally be expected to complete the course requirements in three semesters and maintain a minimum grade of a B- in core courses with an overall B average for all courses taken. The current list of courses is shown below, and is updated regularly upon approval of the Applied Physics Committee and the participating departments. **Effective Fall, 2002, any student who receives a grade of "C+" or lower in any course is required to repeat the class.** For more details, see the Applied Physics Graduate Student Handbook.

Each student's curriculum, research, and thesis topics receive individual consideration by the Applied Physics Committee and must be approved. Most APP students defend for the M.S degree and continue on to become candidates for the Ph.D. Please note that all courses are not offered every year or semester.

UNIV 594, "Responsible Conduct of Research": Any Applied Physics students planning on Biophysics, Biochemistry, or Bioengineering research should registrar for UNIV 594 during their first semester. All other Applied Physics students are not required to sign up but are encouraged to take this course as well. This course does not count toward the core and elective courses.

#### Core Courses: 4 Required

Students can choose 4 of the 11 listed, depending on their research, to fulfill this requirement. Any taken beyond the first 4 will count as electives.

Course Number(s) | Course Name |
---|---|

PHYS 521 or CHEM 530 | Quantum Mechanics I / Quantum Chemistry |

PHYS 522 or CHEM 531 | Quantum Mechanics II / Adv. Quantum Chemistry |

PHYS 526 or CHEM 520 | Statistical Physics / Classical & Statistical Thermodynamics |

PHYS 515 | Classical Dynamics |

PHYS 532 | Classical Electrodynamics |

CHBE 501 | Fluid Mechanics and Transport Processes |

CHBE 602 | Physico-Chemical Hydrodynamics |

PHYS 516 | Mathematical Methods |

BIOE 502 | Physical Biology |

PHYS 563 | Intro to Solid State Physics |

CHBE 611 | Advanced Topics-Thermodynamics |

It is assumed that the student has an adequate background in Classical Mechanics, Electrostatistics, and Statistical and Thermal Physics. This background is determined from interviews or exams given to entering students by the APCAC or the host department. NOTE: Students may take an undergraduate level of a course prior to the graduate level course if needed. Any undergraduate courses taken will not count toward the required credits for the degree.

#### Approved Electives (5 Required)

*NOTE: All courses are not available for all academic years or semesters.*

Elective Number(s) | Elective Name |
---|---|

BIOC 524 | Microbiology & Biotechnology |

BIOC 551 | Molecular Biophysics I |

BIOC 589/BIOE 589 | Computational Molecular Bioengineering/Biophysics |

BIOE 502 | Physical Biology |

BIOE 508 | Synthetic Biology |

BIOE 512 | Biophotonics Instrumentation and Applications |

BIOE 552 | Introductory Computational System Biology: Modeling & Design Principles of Biochem Networks |

BIOE 561 | Principles of Bioengineering |

BIOE 574 | Continuum Biomechanics |

BIOE 580 | Protein Engineering |

BIOE 584 | Lasers in Medicine and Bioengineering |

BIOE 587 | Optical Imaging and Nanobiophotonics |

BIOE 589/BIOC 589 | Computational Molecular Bioengineering/Biophysics |

BIOE 592 | Sensory Neuroengineering |

BIOE 610/PHYS 610 | Methods of Molecular Simulation |

BIOE 684 | Advanced Biophotonics |

CAAM 519 | Computational Science I |

CAAM 551 | Numerical Linear Algebra |

CAAM 567 | Signal Recovery |

CAAM 615 | Theoretical Neuroscience: From Cells to Learning Systems |

CEVE 538/MSNE 538 | Computational Nanoscience |

CHBE 501 | Fluid Mechanics and Transport Processes |

CHBE 502 | Heat and Mass Transport |

CHBE 540 | Statistical Physics |

CHBE 560 | Colloidal and Interfacial Phenomena |

CHBE 571 | Flow and Transport Through Porous Media I |

CHBE 590 | Kinetics, Catalysis and Reaction Engineering |

CHBE 597/CHEM 597/MSNE 597 | Polymer Synthesis, Soft materials and Nanocomposites |

CHBE 602 | Physico-Chemical Hydrodynamics |

CHBE 603 | Rheology |

CHBE 615 | Applications of Molecular Simulations and Statistical Mechanics |

CHBE 620 | Tissue Engineering |

CHBE 630 | Chemical Engineering of Nanostructured Materials |

CHBE 671 | Flow and Transport Through Porous Media II |

CHEM 511 | Spectral Methods in Organic Chemistry |

CHEM 515 | Chemical Kinetics and Dynamics |

CHEM 520 | Classical and Statistical Thermodynamics |

CHEM 530 | Quantum Chemistry |

CHEM 531 | Advanced Quantum Chemistry |

CHEM 533 | Nanoscience & Nanotechnology I |

CHEM 547 | Supramolecular Chemistry |

CHEM 550 | Chemical Physics of Condensed and Biological Matter |

CHEM 557 | Nanocarbons |

CHEM 558 | Nanocrystals |

CHEM 559 | Spectroscopy at the Single Molecular/Particle Limit |

CHEM 595 | Transition Metal Chemistry |

CHEM 597/CHBE 597/MSNE 597 | Polymer Synthesis, Soft materials and Nanocomposites |

CHEM 630 | Molecular Spectroscopy & Group Theory |

CHEM 661/ELEC 661/MSNE 661 | Nanophotonics, Spectroscopy, and Materials for Sustainability |

ELEC 531 | Statistical Signal Processing |

ELEC 546 | Intro to Computer Vision |

ELEC 548 | Neural Signal Processing |

ELEC 549 | Computational Photography |

ELEC 560 | Physics of Sensors |

ELEC 562 | Optoelectronic Devices |

ELEC 563 | Introduction to Solid State Physics I |

ELEC 564/PHYS 564 | Introduction to Solid State Physics II |

ELEC 565 | Materials for Energy & Photocatalysis |

ELEC 566 | Nanophotonics & Metamaterials |

ELEC 567 | Nano-Optics |

ELEC 568 | Laser Spectroscopy |

ELEC 569/PHYS 569 | Ultrafast Optical Phenomena |

ELEC 571 | Imaging at the Nanoscale |

ELEC 572 | Multiphysics Modeling |

ELEC 573 | Network Science and Analytics |

ELEC 575 | Learning from Sensor Data |

ELEC 581 | Cardiovascular and Respiratory System Dynamics |

ELEC 585 | Fundamentals of Medical Imaging |

ELEC 587 | Intro to Neuroengineering |

ELEC 591 | Electrical Engineering Research- Vertically Integrated Projects |

ELEC 592 | Topics in Quantum Optics (Nonlinear Optics) |

ELEC 604 | Nano-Optics |

ELEC 605/PHYS 605 | Computational Electrodynamics and Nanophotonics |

ELEC 645/MSNE 645 | Thin Films |

ELEC 661/CHEM 661/MSNE 661 | Nanophotonics, Spectroscopy, and Materials for Sustainability |

ELEC 680 | Nano-Neurotechnology |

ELEC 691 | Seminar Topics in Nanotechnology |

MECH 520 | Nonlinear Finite Element Analysis |

MECH 679 | Lunar Vehicle and Spacecraft Design |

MECH 682 | Convective Heat Transfer |

MECH 683 | Radiative Heat Transfer I |

MECH 684 | Microscopic Thermodynamics and Transport |

MSNE 502 | Mechanical Properties of Materials |

MSNE 503 | Thermodynamics & Transport Phenomena in Materials Science |

MSNE 510 | Scaling Concepts in Materials |

MSNE 512 | Quantum Materials Engineering |

MSNE 523 | Properties, Synthesis, and Design of Composite Materials |

MSNE 533 | Computational Materials Modeling |

MSNE 535 | Crystallography and Diffraction |

MSNE 538/CEVE 538 | Computational Nanoscience |

MSNE 555 | Materials in Nature and Biometic Strategies |

MSNE 580 | Microscopy Methods |

MSNE 597/CHBE 597/CHEM 597 | Polymer Synthesis, Soft materials and Nanocomposites |

MSNE 610 | Crystal Thermodynamics |

MSNE 614 | Special Topics II |

MSNE 615 | Special Topics III |

MSNE 623 | Spectroscopy: Tools in Materials Science |

MSNE 634 | Thermodynamics of Alloys |

MSNE 635 | Transformation of Alloys |

MSNE 645/ELEC 645 | Thin Films |

MSNE 650 | Nanomaterials and Nanomechanics |

MSNE 661/CHEM 661/ELEC 661 | Nanophotonics, Spectroscopy, and Materials for Sustainability |

MSNE 666 | Conduction Phenomena in Solids |

PHYS 580 | Introduction to Plasma Physics |

PHYS 512 | Ionospheric Physics |

PHYS 515 | Classical Mechanics |

PHYS 516 | Mathematical Methods |

PHYS 517 | Computational Methods |

PHYS 521 | Quantum Mechanics I |

PHYS 526 | Statistical Physics |

PHYS 532 | Classical Electrodynamics |

PHYS 533 | Nanostructures and Nanotechnology I |

PHYS 534 | Nanostructures and Nanotechnology II |

PHYS 537 | Methods of Experimental Physics I |

PHYS 538 | Methods of Experimental Physics II |

PHYS 539 | Characterization and Fabrication at the Nanoscale |

PHYS 542 | Introduction to Nuclear and Particle Physics |

PHYS 549 | Physics Data Science And Machine Learning Laboratory |

PHYS 551 | Biological Physics |

PHYS 552 | Topics in Biological Physics |

PHYS 563 | Introduction to Solid State Physics I |

PHYS 564/ELEC 564 | Introduction to Solid State Physics II |

PHYS 566 | Surface Physics |

PHYS 567 | Quantum Materials |

PHYS 568 | Quantum Phase Transition |

PHYS 569/ELEC 569 | Ultrafast Optical Phenomena |

PHYS 571 | Modern Atomic Physics and Quantum Optics |

PHYS 572 | Fundamentals of Quantum Optics |

PHYS 600 | Advanced Topics in Physics |

PHYS 605/ELEC 605 | Computational Electrodynamics and Nanophotonics |

PHYS 610/BIOE 610 | Biological & Molecular Simulation |

PHYS 663 | Condensed Matter Theory: Applications |

PHYS 664 | Condensed Matter Theory: Many-Body Formalism |

STAT 518 | Probability |

STAT 583 | Introduction to Random Processes and Applications |

STAT 622 | Bayesian Data Analysis |

No courses may be used for both core and elective courses. Due to overlap of curricula, only one from each of the pairs PHYS 521/CHEM 530, and PHYS 526/CHEM 520/CHBE 540 may be used for the nine required courses.

NOTE: For any electives not on this list, the approval of the Applied Physics Chair and/or the Graduate Committee will be required. MSNE 506 will not be accepted as an approved elective.