Course Information


Course Information
Course Title Code Semester L+U Hour Credits ECTS
COMPUTATIONAL ORGANIC CHEMISTRY I 801300715950 3 + 0 3.0 8.0

Prerequisites None

Language of Instruction Turkish
Course Level Graduate Degree
Course Type Compulsory
Mode of delivery Lecture, question-answer, discussion, case study research
Course Coordinator
Instructors Pervin ÜNAL CİVCİR
Assistants
Goals To give information about the basic concepts, methods, and applications of computational Chemistry. To gain the ability to use the software packages that performs theoretical calculations and application to a variety of chemical events
Course Content The basic concepts of computational chemistry and use in organic chemistry. The techniques and applications of quantum mechanics and molecular orbital methods. Hückel molecular orbital (HMO), Hartree-Fock (HF) theories, definitions of Fock equations and SCF theory. Molecular mechanics and semi-empirical methods. Description of and applications of MMX, MM2, CNDO, MINDO, MNDO, INDO, ZINDO, AM1, PM3 and SAM1 methods
Learning Outcomes 1) Describes modern methods of molecular modeling.
2) Knows current package programs and uses by selecting the appropriate program
3) Calculates physical and chemical properties of molecules of all kinds.
4) Uses the Computational Chemistry in calculation of the geometry and properties of organic molecules
5) Explaines the organic reaction mechanisms.
6) Design new molecules.
7) Selects and uses the appropriate basis set
8) understands that organic compounds and their properties, not only in the lab, can also be found theoretically with the computer ,

Weekly Topics (Content)
Week Topics Teaching and Learning Methods and Techniques Study Materials
1. Week Introduction: Introduction to computational Chemistry, history and uses. Lecture; Question Answer; Problem Solving; Discussion; Case Study
Brainstorming; Colloquium
Project Based Learning
Homework
2. Week • Molecular Modeling Lecture; Question Answer; Problem Solving
Brainstorming; Colloquium
Problem Based Learning
Homework Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
3. Week Current Program Packages Lecture; Question Answer; Problem Solving; Discussion; Case Study
Brainstorming; Colloquium
Problem Based Learning
Homework Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
4. Week Molecular Mechanics Lecture; Question Answer; Problem Solving; Discussion; Case Study
Brainstorming; Colloquium
Problem Based Learning
Homework Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
5. Week Force Fields and parameters Lecture; Question Answer; Problem Solving; Discussion; Case Study
Brainstorming; Colloquium
Problem Based Learning
Homework Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
6. Week The use of Molecular Mechanics Calculations in Organic Chemistry Lecture; Question Answer; Problem Solving; Discussion; Case Study
Brainstorming; Colloquium
Problem Based Learning
Homework Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
7. Week Molecular Simulation Lecture; Question Answer; Problem Solving; Discussion; Case Study
Brainstorming; Colloquium
Problem Based Learning
Homework Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
8. Week Electronic Structure Methods Lecture; Question Answer; Problem Solving; Discussion; Case Study
Brainstorming; Colloquium
Problem Based Learning
Homework Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
9. Week Semi-empirical Methods Lecture; Question Answer; Problem Solving; Discussion; Case Study
Brainstorming; Colloquium
Problem Based Learning
Homework Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
10. Week Semi empirical Calculations Lecture; Question Answer; Problem Solving; Discussion; Case Study
Brainstorming; Colloquium
Problem Based Learning
Homework Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
11. Week The use of Semi empirical Methods in Organic Chemistry Lecture; Question Answer; Problem Solving; Discussion; Case Study
Brainstorming; Colloquium
Problem Based Learning
Homework Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
12. Week Molecular properties Lecture; Question Answer; Problem Solving; Discussion; Case Study
Brainstorming; Colloquium
Problem Based Learning
Homework Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
13. Week Chemical Reactions Lecture; Question Answer; Problem Solving; Discussion; Case Study
Brainstorming; Colloquium
Problem Based Learning
Homework Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)
14. Week Modeling Solvated Systems with semi-empirical methods Lecture; Question Answer; Problem Solving; Discussion; Case Study
Brainstorming; Colloquium
Problem Based Learning
Homework Practice (Teaching Practice, Music/Musical Instrument Practice, Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice)

Sources Used in This Course
Recommended Sources
Frank Jensen, “Introduction to Computational Chemistry”, John Wiley & Sons Ltd., England, 2007.
Levine, I. N., ”Quantum Chemistry”, Englewood Cliffs: Prentice-Hall, 2000.
A. R. Leach, “Molecular Modelling: Principles and Applications”, Second Edition, Pearson Education EMA, 2001.
Christopher J. Cramer, “Essentials of Computational Chemistry: Theories and Models”, John Wiley & Sons Ltd., England, 2004.
Clark, T.:”A Handbook of Computational Chemistry, A Practical Guide to Chemical Structure and Energy Calculations”, 1 st Ed, Wiley-Interscience Publication, New York, U.S.A., (1985), 99-101.
Hehre, W.J.; Radom, L. ; Schleyer, P.V.R.; Pople, J.A.: “Ab Initio Molecular Orbital Theory”, 1 st Ed, Wiley-Interscience Publication, New York, U.S.A.,1986.
J. Foresman & A. Frisch Exploring Chemistry with Electronic-Structure Methods, 2nd Edn., Gaussian Inc., Pittsburg PA, 2003.
Ramachandran, KI; Deepa, G.; Namboori, K.: “Computational Chemistry and Molecular Modeling. Principles and Applications”, Springer-Verlag Berlin Heidelberg, Germany, 2008.

Relations with Education Attainment Program Course Competencies
Program RequirementsContribution LevelDK1DK2DK3DK4DK5DK6DK7DK8
PY1500000000
PY2500000000
PY3500000000
PY4500000000
PY5500000000

*DK = Course's Contrubution.
0 1 2 3 4 5
Level of contribution None Very Low Low Fair High Very High
.

ECTS credits and course workload
Event Quantity Duration (Hour) Total Workload (Hour)
Course Duration (Total weeks*Hours per week) 14 3
Work Hour outside Classroom (Preparation, strengthening) 14 5
Homework 5 10
Practice (Teaching Practice, Music/Musical Instrument Practice , Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice) 14 2
Midterm Exam 1 2
Time to prepare for Midterm Exam 1 15
Final Exam 1 2
Time to prepare for Final Exam 1 30
Total Workload
Total Workload / 30 (s)
ECTS Credit of the Course
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Course Information