Eskisehir Technical University Info Package Eskisehir Technical University Info Package
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General Information Programs
  • Institute of Graduate Programmes
  • Department of Chemistry
  • Master of Science (MS) Degree
  • Course Structure Diagram with Credits
  • Applications of Computational Chemistry
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications
  • ECTS Credit Load

Course Introduction Information

Code - Course Title KİM567 - Applications of Computational Chemistry
Course Type Elective Courses
Language of Instruction Türkçe
Laboratory + Practice 3+0
ECTS 7.5
Course Instructor(s) DOKTOR ÖĞRETİM ÜYESİ SULTAN FUNDA GÖRKEM
Mode of Delivery The mode of delivery of this course is Face to face.
Prerequisites There is no prerequisite or co-requisite for this course.
Courses Recomended There is no recommended optional programme component for this course.
Required or Recommended Resources Lecture notes.User manuals of programs.
Recommended Reading List No.
Assessment methods and criteria 1st midterm exam (20%); 2. Midterm exam (20%); Homework (20%); Final exam (40%);
Work Placement Not Applicable
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Introduction to computational chemistry, fundamental concepts and applications
Week - 2 Introduction to molecular modeling and drawing two-dimensional molecular structures using ChemDraw
Week - 3 Construction and visualization of three-dimensional molecular structures using GaussView
Week - 4 Quantum chemical calculation methods: Introduction to semi-empirical, ab initio and DFT methods
Week - 5 Introduction to Gaussian software, selection of computational methods and basis sets
Week - 6 Preparation of Gaussian input files and molecular geometry optimization
Week - 7 Vibrational frequency calculations and verification of optimized molecular structures
Week - 8 Molecular orbital theory and HOMO-LUMO analyses
Week - 9 Electronic structure analyses and calculation of molecular properties
Week - 10 Generation and interpretation of molecular electrostatic potential (MEP) maps
Week - 11 Introduction to time-dependent density functional theory (TD-DFT)
Week - 12 Calculation of electronic excitations and UV-Vis spectra using TD-DFT
Week - 13 Visualization and analysis of computational results using Gaussian and GaussView
Week - 14 Integrated computational chemistry applications on selected molecules and evaluation of results

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Demonstration
  • Drill - Practise
  • Competences
  • Productive
  • Rational
  • Questoning
  • Creative
  • Effective use of a foreign language
  • Abstract analysis and synthesis
  • Problem solving
  • Information Management
  • Decision making

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
Toplam (%) 0
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