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About the Programme Academic Staff Program Qualifications Lessons Matrix of Course & Program Qualifications Turkish Qualifications Framework (TQF) TQF & Program Qualifications
  1. Graduate School
  2. Department of Analytical Chemistry
  3. Master of Science (MSc) in Analytical Chemistry
  4. Course Structure Diagram with Credits
  5. Intro. to Statistics and Chemometrics in Analytical Chemis.
  6. Description
  • Description
  • Learning Outcomes
  • ECTS Credit Load
  • Course's Contribution to Program
  • Learning Outcomes & Program Qualifications
Last Updated: 30/09/2026

Code - Course Title Course Type Laboratory + Practice ECTS
KİM702 - Intro. to Statistics and Chemometrics in Analytical Chemis. I. SEMESTER 3 +0 6.0
Language of Instruction Türkçe
Course Type Elective Courses
Course Instructor(s) DR. ÖĞR. ÜYESİ SAKİNE ATİLA KARACA
Mode of Delivery The mode of delivery of this course is face to face.
Place of Delivery
Used Educational Platforms
Prerequisites There is no prerequisite or co-requisite for this course.
Courses Recomended There is no recommended optional programme component for this course.
Recommended Resources Analitik Kimya Temel İlkeler, D.A. Skoog, D.M. West, F.J. Holler ve S.R. Crouch (2004). Analitik Kimyacılar için İstatistik ve Kemometri, J.N. Miller ve J.C. Miller (2012).Design and analysis of experiments, D.C. Montgomery, (2013).How to Use Excel in Analytical Chemistry, R. de Levie, (2004).
Work Placement Applicable
Aims of the Course

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 Statistics and Chemometrics in Analytical Chemistry
Week - 2 Data and Error Types
Week - 3 Statistics of Repeated Measurements
Week - 4 Significance Trials (t-test, F-test)
Week - 5 Significance Trials (Analysis of variance, Chi-square test)
Week - 6 Univariate Calibration Methods (Calibration Plots, Correlation)
Week - 7 Univariate Calibration Methods (Linear Regression, Weighted Regression)
Week - 8 Calculations in Analytical Method Validation
Week - 9 Data Reporting
Week - 10 Introduction to Chemometrics and Fundamentals of Experimental Design
Week - 11 Factorial Designs
Week - 12 Partial Factorial Designs
Week - 13 Response Surface Methodologies
Week - 14 Optimization and Desirability Functions

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

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