Bachelor of Science (B.S.) Major in Applied Physics and Pre-Engineering: 36 Credits
The Bachelor of Science program in Applied Physical Analysis is an interdisciplinary course of study designed to prepare students for a career involving the quantitative analysis of data. The program includes programs in physics, mathematics and computer science. It is intended to provide the background required for graduate study in engineering. Special opportunities for hands-on experience in solar energy technology are available.
Program Goals | Learning Objectives |
---|---|
1. Students will gain an understanding of the physical world |
1A. Students will demonstrate an improved understanding of the fundamental concepts in each of the major areas of physics. |
2. Students will gain an understanding of the application of statistical analysis to physical measurements. |
2A. Students will articulate ways in which statistics are applied to the analysis of physical measurements. |
3. Students develop the ability to effectively present the results of quantitative studies | 3A. Students will demonstrate the ability to effectively present the results of quantitative studies. |
4. Students can succeed in professional careers and programs in applied quantitative analysis. | 4A. Students will be well prepared for graduate study. |
Course Requirements
Four credits from the following:
PHY 211 | General Physics I | 4 hours |
PHY 221 | Modeling the Physical World I | 3 hours |
PHY 223 | Physics Project Laboratory I | 1 hour |
Four credits from the following:
PHY 212 | General Physics II | 4 hours |
PHY 222 | Modeling the Physical World II | 3 hours |
PHY 224 | Physics Project Laboratory II |
1 hour |
All of the following:
PHY 471 | Classical Mechanics | 3 hours |
PHY 591 | Seminar in Engineering | 1 hour |
MTH 545 | Differential Equations | 3 hours |
MTH 561 | Mathematical Statistics I | 3 hours |
MTH 562 | Mathematical Statistics II | 3 hours |
Three credits from the following:
CSC 221 | Introduction to Computer Programming | 3 hours |
PHY 553 | Computational Physics | 3 hours |
Three credits from the following:
ERG 481 | Senior Project in Energy Studies I | 3 hours |
PHY 497 | Directed Independent Research | 3 hours |
Nine credits from the following:
CSC 222 | Object-Oriented Programming | 3 hours |
CSC 321 | Data Structures | 3 hours |
CSC 414 | Computer Organization | 3 hours |
CSC 421 | Algorithm Design and Analysis | 3 hours |
CSC 533 | Programming Languages | 3 hours |
CSC 548 | Software Engineering | 3 hours |
CSC 590 | Special Topics | 3 hours |
ERG 211 | Design and Rapid Prototyping I | 1 hour |
ERG 212 | Design and Rapid Prototyping II | 1 hour |
ERG 241 | Introduction to Energy Transfer | 3 hours |
ERG 251 | History and Technology of the Western World | 2 hours |
ERG 311 | Design and Rapid Prototyping III | 1 hour |
ERG 312 | Design and Rapid Prototyping IV | 1 hour |
MTH 529 | Linear Algebra | 3 hours |
MTH 543 | Numerical Analysis | 3 hours |
MTH 546 | Partial Differential Equations | 3 hours |
MTH 551 | Differential Geometry | 3 hours |
MTH 555 | Chaotic Dynamical Systems | 3 hours |
MTH 563 | Mathematical Statistics III | 3 hours |
MTH 571 | Operations Research | 3 hours |
MTH 572 | Fuzzy Logic | 3 hours |
MTH 573 | Probabilistic Models | 3 hours |
MTH 575 | Introductory Stochastic Processes | 3 hours |
PHY 301 | Modern Physics | 3 hours |
PHY 303 | Electronics Laboratory | 1 hour |
PHY 331 | Physical Optics | 3 hours |
PHY 332 | Optics Laboratory | 1 hour |
PHY 481 | Electricity and Magnetism | 3 hours |
PHY 491 | Physics Seminar | 1 hour |
PHY 521 | Electronics for Scientists | 3 hours |
PHY 522 | Electric Circuits | 3 hours |
PHY 531 | Quantum Mechanics | 3 hours |
PHY 541 | Thermodynamics and Statistical Mechanics | 3 hours |
PHY 551 | Mathematical Physics | 3 hours |
PHY 553 | Computational Physics | 3 hours |
PHY 561 | Nuclear Physics | 3 hours |
PHY 562 | Nuclear Instruments and Methods | 2 hours |
PHY 571 | Solid State Physics | 3 hours |
PHY 572 | Solid State Laboratory | 3 hours |
PHY 587 | Laser Physics | 3 hours |
Requisite Courses: MTH 245, 246, 347