SPECTROSCOPIC METHODS IN CHEMISTRY
- Course
- CHEM503 - SPECTROSCOPIC METHODS IN CHEMISTRY
- Department
- Chemistry - English - Master
- Course Type
- Course
- Status
- Required
- Language
- English
- Credit
- 3
- ECTS
- 8
- T+P+L
- 3 + 0 + 0
- Course Coordinator(s)
- -
- Prerequisite
- -
- Keywords
Course Description
By a combination of lectures, tutorials and individual semester works, spectroscopic methods for structure analysis this course introduces the three key spectroscopic methods used by chemists and biochemists to analyze the molecular and electronic structure of atoms and molecules such as ultraviolet and visible spectroscopy (UV/VIS) which includes electron transitions between Orbitals and analysis of UV/Vis Spectra; Infrared spectroscopy (IR) ; Nuclear magnetic resonance spectroscopy (1H- and 13C-NMR) and mass spectrometry (MS) are expanded upon. The course is especially focused on analyzing spectral data of organic compounds, applications of spectroscopic techniques to chemical and biochemical problems their use in determining molecular structures from spectra and using them in Investigating Reaction Mechanisms.
SPECTROSCOPIC METHODS IN CHEMISTRY
Evaluation Tools (Active Term)
No evaluation items have been defined.
Course outcomes
No course outcomes have been defined yet.
Course Syllabus
| Week | Topic |
|---|---|
| Week 1 | Use of ChemDraw Software |
| Week 2 | Applications of ChemDraw Software |
| Week 3 | Introduction to Spectroscopy |
| Week 4 | Principles of Nuclear Magneti Resonance (NMR) |
| Week 5 | 1H NMR Theory |
| Week 6 | 1H NMR Spectra Examples |
| Week 7 | Tutorial |
| Week 8 | Midterm Exam |
| Week 9 | 13C NMR Theory and Examples |
| Week 10 | NMR Spectral Analysis |
| Week 11 | Principles of Mass Spectrometry (MS) |
| Week 12 | Examples of Mass Spectrometry |
| Week 13 | Combined Spectral Analysis |
| Week 14 | Combined Spectral Analysis |
| Week 15 | Final Exam |
Reference Books & Course Materials
No reference books have been listed.
Learning Outcomes
No learning outcomes have been defined.
Program Outcomes
- Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledgein these areas in complex engineering problems
- Ability to identify, formulate, and solve complex environmental problems; ability to select and apply proper analysis and modeling methods for this purpose.
- Ability to design and conduct experiments, gather data, analyze and interpret results for investigating environmental problems or discipline specific research questions.
- Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
- Ability to communicate effectively in English, both orally and in writing; knowledge of a minimum of one foreign language
- Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.
- Consciousness to behave according to ethical principles and professional and ethical responsibility; knowledge on standards used in engineering practice.
- Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development.
- Knowledge about the global and social effects of engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions.
Po-Lo Matrix
The PO-LO matrix has not been populated yet.