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Syllabus ( CED 476 )


   Basic information
Course title: Introduction to Computational Catalysis
Course code: CED 476
Lecturer: Assoc. Prof. Dr. Murat Oluş ÖZBEK
ECTS credits: 5
GTU credits: 3 ()
Year, Semester: 3/4, Fall and Spring
Level of course: First Cycle (Undergraduate)
Type of course: Departmental Elective
Language of instruction: English
Mode of delivery: Face to face , Group study
Pre- and co-requisites: none
Professional practice: No
Purpose of the course: This course aims to give information on the quantum chemical and computational techniques applied in the catalysis research and their application on the basic level. For this goal, the course aims to transfer the following: 1) theoretical information on the computational chemistry techniques, 2) theoretical information on the catalytic reactions, 3) the application of these information on the homogeneous non-catalytic reactions, and 4) heterogeneous catalytic reactions by using a proper software.
   Learning outcomes Up

Upon successful completion of this course, students will be able to:

  1. Gaining information on quantum chemical methods

    Contribution to Program Outcomes

    1. Ability to identify, formulate, and solve Complex Engineering problems; select and apply proper modeling and analysis methods for this purpose.
    2. Ability to cooperate efficiently in intra-disciplinary and multi-disciplinary teams; and show self-reliance when working on Engineering-related problems.
    3. Recognize the need for life-long learning; show the ability to access information, follow developments in science and technology, and continuously educate oneself.

    Method of assessment

    1. Written exam
    2. Homework assignment
    3. Seminar/presentation
    4. Term paper
  2. Determine the electronic properties of molecules using quantum chemical methods

    Contribution to Program Outcomes

    1. Ability to identify, formulate, and solve Complex Engineering problems; select and apply proper modeling and analysis methods for this purpose.
    2. Recognize the need for life-long learning; show the ability to access information, follow developments in science and technology, and continuously educate oneself.

    Method of assessment

    1. Written exam
    2. Homework assignment
    3. Seminar/presentation
    4. Term paper
  3. Investigate heterogeneous catalytic reactions using quantum chemical methods.

    Contribution to Program Outcomes

    1. Ability to identify, formulate, and solve Complex Engineering problems; select and apply proper modeling and analysis methods for this purpose.
    2. Ability to cooperate efficiently in intra-disciplinary and multi-disciplinary teams; and show self-reliance when working on Engineering-related problems.
    3. Recognize the need for life-long learning; show the ability to access information, follow developments in science and technology, and continuously educate oneself.

    Method of assessment

    1. Written exam
    2. Homework assignment
    3. Seminar/presentation
    4. Term paper
  4. Modeling molecules and reactions using quantum chemical methods

    Contribution to Program Outcomes

    1. Ability to identify, formulate, and solve Complex Engineering problems; select and apply proper modeling and analysis methods for this purpose.
    2. Ability to cooperate efficiently in intra-disciplinary and multi-disciplinary teams; and show self-reliance when working on Engineering-related problems.
    3. Recognize the need for life-long learning; show the ability to access information, follow developments in science and technology, and continuously educate oneself.

    Method of assessment

    1. Written exam
    2. Homework assignment
    3. Seminar/presentation
    4. Term paper
   Contents Up
Week 1: History of molecular modeling
Introduction to quantum chemistry
Week 2: Theoretical basis of quantum chemistry
Information on the software to be used
Week 3: Modeling of the molecules using force field methods
Week 4: Modeling of the molecules using DFT
Week 5: Modeling the chemical reactions using DFT
Week 6: Output analysis for the DFT models and reactions.
Week 7: Introduction to heterogeneous catalysis and catalytic reactions
Midterm Exam
Week 8: Types of heterogeneously catalyzed reactions
Week 9: Preparing catalyst surface models
Week 10: Modeling the basic adsorption systems
Week 11: Investigation of the catalytic surface reactions
Week 12: Computing activation barriers
Week 13: Output analysis of catalytic reaction models
Week 14: Project submission and presentations
Week 15*: --
Week 16*: Final exam
Textbooks and materials: Lecture Notes
Theoretical Heterogeneous Catalysis (World Scientific Lecture and Course Notes in Chemistry), R.A. van Santen, orld Scientific Publishing Company (July 22, 1991)
Recommended readings: Molecular quantum mechanics Atkins, P. W., Oxford University Press, 2005.
Physical chemistry Atkins, P. W., de Paula J., Oxford University Press, 2006.
Quantum chemistry Levine, Ira N., 1937- Upper Saddle River, N.J. : Prentice Hall, c2000.
  * Between 15th and 16th weeks is there a free week for students to prepare for final exam.
Assessment Up
Method of assessment Week number Weight (%)
Mid-terms: 7 20
Other in-term studies: 0
Project: 14 30
Homework: 4 20
Quiz: 0
Final exam: 16 30
  Total weight:
(%)
   Workload Up
Activity Duration (Hours per week) Total number of weeks Total hours in term
Courses (Face-to-face teaching): 3 14
Own studies outside class: 3 14
Practice, Recitation: 0 0
Homework: 6 1
Term project: 4 5
Term project presentation: 1 1
Quiz: 0 0
Own study for mid-term exam: 0 0
Mid-term: 6 1
Personal studies for final exam: 6 1
Final exam: 2 1
    Total workload:
    Total ECTS credits:
*
  * ECTS credit is calculated by dividing total workload by 25.
(1 ECTS = 25 work hours)
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