Eskisehir Technical University Info Package Eskisehir Technical University Info Package
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About the Program Educational Objectives Key Learning Outcomes Course Structure Diagram with Credits Field Qualifications Matrix of Course& Program Qualifications Matrix of Program Outcomes&Field Qualifications
  • Faculty of Science
  • Department of Chemistry
  • Course Structure Diagram with Credits
  • Mathematical Methods for Chemistry
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title KİM209 - Mathematical Methods for Chemistry
Course Type Elective Courses
Language of Instruction Türkçe
Laboratory + Practice 2+0
ECTS 3.0
Course Instructor(s) DOKTOR ÖĞRETİM ÜYESİ HÜSEYİN BERBER
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 Prof.Dr. M. Ayhan Zeren (2000) Mathematical for Chemists, Birsen Publisher, İstanbul.    *William L. Hays, Translator: Yılmaz Özakpınar (1990) Basic Statistics, Selçuk University Publisher, Konya
Recommended Reading List ---
Assessment methods and criteria I. Mid-Term 40%, Final Exam  60%
Work Placement Not applicable.
Sustainability Development Goals Quality Education

Content

Weeks Topics
Week - 1 The Significant Figure Convention: Significant Figure, Significant Figure calculation and deficiency
Week - 2 Chemical examples use logarithm, matrix and determinant
Week - 3 İllustration of temperature dependence of the rate
Week - 4 Calculate of linear eguation, Solution eguation on graphics
Week - 5 Interpolation and extrapolation
Week - 6 Interpolation and extrapolation calculate on graphics and calculation
Week - 7 Analysis of Error and Chemical datas: Error typs
Week - 8 Distribution of sistematic and random error
Week - 9 Determine of sistematic and random error
Week - 10 Limited samples analyze statistic methods such as standard normal distribution and t distribution
Week - 11 Limited samples analyze statistic methods such as khi sequar distribution and F distribution
Week - 12 Chemical of data analyze regression and corelassion
Week - 13 Chemical of data analyze regression and corelassion
Week - 14 Chemical of data analyze regression and corelassion

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Case Study
  • Competences
  • Effective use of Turkish
  • Effective use of a foreign language

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 40
Final Exam 1 60
Toplam (%) 100
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