FÄ°Z614 - MOLECULAR PHYSICS
| Course Name | Code | Semester | Theory (hours/week) |
Application (hours/week) |
Credit | ECTS |
|---|---|---|---|---|---|---|
| MOLECULAR PHYSICS | FÄ°Z614 | Any Semester/Year | 3 | 0 | 3 | 6 |
| Prequisites | none | |||||
| Course language | Turkish | |||||
| Course type | Elective | |||||
| Mode of Delivery | Face-to-Face | |||||
| Learning and teaching strategies | Lecture Discussion Other: Presentation | |||||
| Instructor (s) | Assigned by Department of Physics Engineering | |||||
| Course objective | To introduce the basic concepts of molecular structure and molecular spectroscopy, applications of molecular spectroscopy, optical imaging tecniques, to use basic concepts of quantum mechanics in molecular modelling and apply basic concepts to be able to predict the properties of molecular spectra. | |||||
| Learning outcomes |
| |||||
| Course Content | Molecular structure and properties Electronic states of molecules The rotation and vibration of molecules To introduce the molecular imaging Molecular mechanics and quantum mechanical modeling of molecules | |||||
| References | C.N. Banwell, E. M. McCash, Fundamentals of Molecular Spectroscopy, McGraw-Hill, London, 1994. P. W. Atkins, R.S. Friedman, Molecular Quantum Mechanics, Oxford University Press, NY, 1997. B.H.Bransden, C.J. Joachain, Physics of Atoms and Molecules, Pearson Education, 2003. V. Magnasco, Methods of Molecular Quantum Mechanics:An introduction to Electronic Molecular Structure, Wiley,2009. R. Salzer,H.W.Siesleri Infrared and Raman Spectroscopic imaging, Wiley-VCH,2009 | |||||
Course outline weekly
| Weeks | Topics |
|---|---|
| Week 1 | Molecular structure and properties |
| Week 2 | Molecular electronic states |
| Week 3 | Molecular energies, Born-Oppenheimer approximation and molecular spectroscopy. |
| Week 4 | Physical processes of interaction of radiation with molecule, classical description and quantum mechanics of molecular rotation, applications related to molecular rotations |
| Week 5 | Calculation of molecular dipole moment, classical description and quantum mechanics of molecular vibration, harmonic and anharmonic oscillators |
| Week 6 | Normal mode analysis of molecular motions, introduction to vibrational spectroscopy. |
| Week 7 | Midterm exam |
| Week 8 | Aplications related to molecular vibration, the working prenciples of an FTIR and Raman spectrometers |
| Week 9 | Optical imaging tecniques molecular imaging |
| Week 10 | Data analysis methods of molecular imaging (micro IR and Raman) |
| Week 11 | Molecular modeling, the theories of molecular mechanics and quantum mechanical calculations |
| Week 12 | Molecular energy, geometry optimization, to predict the geometric structure of molecule simulation of vibrational spectra, the calculation of thermodynamic properties of molecules |
| Week 13 | Aplications (with packaged software) |
| Week 14 | Final exam |
Assesment methods
| Course activities | Number | Percentage |
|---|---|---|
| Attendance | 0 | 0 |
| Laboratory | 0 | 0 |
| Application | 4 | 20 |
| Field activities | 0 | 0 |
| Specific practical training | 0 | 0 |
| Assignments | 0 | 0 |
| Presentation | 0 | 0 |
| Project | 0 | 0 |
| Seminar | 0 | 0 |
| Midterms | 1 | 40 |
| Final exam | 1 | 40 |
| Total | 100 | |
| Percentage of semester activities contributing grade succes | 0 | 60 |
| Percentage of final exam contributing grade succes | 0 | 40 |
| Total | 100 | |
WORKLOAD AND ECTS CALCULATION
| Activities | Number | Duration (hour) | Total Work Load |
|---|---|---|---|
| Course Duration (x14) | 14 | 3 | 42 |
| Laboratory | 0 | 0 | 0 |
| Application | 0 | 0 | 0 |
| Specific practical training | 0 | 0 | 0 |
| Field activities | 0 | 0 | 0 |
| Study Hours Out of Class (Preliminary work, reinforcement, ect) | 14 | 5 | 70 |
| Presentation / Seminar Preparation | 3 | 10 | 30 |
| Project | 0 | 0 | 0 |
| Homework assignment | 3 | 8 | 24 |
| Midterms (Study duration) | 1 | 10 | 10 |
| Final Exam (Study duration) | 1 | 14 | 14 |
| Total Workload | 36 | 50 | 190 |
Matrix Of The Course Learning Outcomes Versus Program Outcomes
| D.9. Key Learning Outcomes | Contrubition level* | ||||
|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |
| 1. Combines mathematics, science and engineering knowledge in a multidisciplinary manner and implement into modern technological and scientific advanced research. | X | ||||
| 2. Accesses, interprets, and implements information by doing in depth applied research for technological applications. | |||||
| 3. Develops original models and designs methods to solve problems by using relevant software, hardware, and modern measurement tools. | X | ||||
| 4. Accesses information by doing research in certain fields, share knowledge and opinions in multidisciplinary work teams. | |||||
| 5. Implements modeling and experimental research; solves encountered complex problems. | X | ||||
| 6. Knows and follows recent improvements in the field, utilize new information to solve technological complex problems. Develops and plans methods to solve technological problems in an innovative manner. | |||||
| 7. Follows recent studies in the field, presents results in national and international meetings. | X | ||||
| 8. Knows advanced level Turkish and at least one foreign language to be able to present recent results. | |||||
| 9. Uses advanced communication tools related to technological methods and software. | X | ||||
| 10. Protects social, scientific, and ethical values while collecting and implementing, data and presenting results in scientific meetings. | X | ||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest