Information
Unit | INSTITUTE OF MEDICAL SCIENCES |
MEDICAL BIOCHEMISTRY (MEDICINE) (MASTER) (WITH THESIS) | |
Code | BİK552 |
Name | CHEMİSTATISTIC |
Term | 2025-2026 Academic Year |
Term | Fall and Spring |
Duration (T+A) | 3-2 (T-A) (17 Week) |
ECTS | 7 ECTS |
National Credit | 4 National Credit |
Teaching Language | Türkçe |
Level | Yüksek Lisans Dersi |
Type | Normal |
Mode of study | Yüz Yüze Öğretim |
Catalog Information Coordinator | |
Course Instructor |
The current term course schedule has not been prepared yet.
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Course Goal / Objective
The aim of this course is to teach the fundamental concepts required for the statistical analysis of chemical and biochemical data, improve the reliability of experimental results, and enable students to apply statistical approaches in decision-making processes.
Course Content
The course begins with basic statistical concepts and covers parametric and non-parametric tests used in chemical analyses, analysis of variance (ANOVA), calibration, regression, multivariate analysis techniques, and statistical applications in laboratory quality control.
Course Precondition
pass the exam
Resources
Miller & Miller – Statistics and Chemometrics for Analytical Chemistry Otto – Chemometrics: Statistics and Computer Application in Analytical Chemistry
Notes
Montgomery – Applied Statistics and Probability for Engineers
Course Learning Outcomes
Order | Course Learning Outcomes |
---|---|
LO01 | Explains fundamental statistical concepts |
LO02 | Selects appropriate tests to analyze chemical data |
LO03 | Applies calibration and linear regression analyses |
LO04 | Uses statistical methods in lab quality control |
Relation with Program Learning Outcome
Order | Type | Program Learning Outcomes | Level |
---|---|---|---|
PLO01 | Yetkinlikler - Alana Özgü Yetkinlik | Explain the structure and function of the basic tissues of the body. | 1 |
PLO02 | Belirsiz | Explain the structure and functions of the cell, their physiological mechanisms and bioelectrical events. | 1 |
PLO03 | Belirsiz | Explain the structure and functions of biochemical molecules involved in metabolism. | 1 |
PLO04 | Belirsiz | Know the structure and function of genetic material (DNA and RNA), gene expression, genome structure, nucleic acid metabolism and the use of DNA in medicine, the basic principles of heredity. |
Week Plan
Week | Topic | Preparation | Methods |
---|---|---|---|
1 | Introduction: What is Chemometrics? | Basic Definitions: Population, Sample, Distribution | Öğretim Yöntemleri: Anlatım |
2 | Descriptive Statistics: Mean, Median, Standard Deviation | Normal Distribution and Gaussian Curve | Öğretim Yöntemleri: Anlatım |
3 | Data Visualization: Histogram, Boxplot, Q-Q Plot | Confidence Intervals and Types of Error | Öğretim Yöntemleri: Anlatım |
4 | Hypothesis Testing: t-test, z-test | One-way ANOVA (Analysis of Variance) | Öğretim Yöntemleri: Anlatım |
5 | Multiple Comparisons and Tukey Test | Correlation Analysis (Pearson and Spearman) | Öğretim Yöntemleri: Anlatım |
6 | Simple Linear Regression | Multiple Linear Regression | Öğretim Yöntemleri: Anlatım |
7 | Calibration Curves and Accuracy | R^2, RMSE, and Model Quality | Öğretim Yöntemleri: Anlatım |
8 | Mid-Term Exam | Ölçme Yöntemleri: Sözlü Sınav |
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9 | Non-parametric Tests: Mann-Whitney, Kruskal-Wallis | Power Analysis and Sample Size | Öğretim Yöntemleri: Anlatım |
10 | Factor Analysis | Principal Component Analysis (PCA) | Öğretim Yöntemleri: Anlatım |
11 | Clustering Methods (Cluster Analysis) | Discriminant Analysis | Öğretim Yöntemleri: Anlatım |
12 | Multivariate Calibration: PLS and PCR | Data Preprocessing Techniques | Öğretim Yöntemleri: Anlatım |
13 | Outlier Analysis and Data Cleaning | Design of Experiments (DOE) | Öğretim Yöntemleri: Anlatım |
14 | Quality Control Charts in the Laboratory | ROC Curves and Diagnostic Test Performance | Öğretim Yöntemleri: Anlatım |
15 | Discussion: Ethics and Bias in Chemometrics | Student Project Presentations | Öğretim Yöntemleri: Anlatım |
16 | Term Exams | Ölçme Yöntemleri: Yazılı Sınav |
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17 | Term Exams | Ölçme Yöntemleri: Yazılı Sınav |
Student Workload - ECTS
Works | Number | Time (Hour) | Workload (Hour) |
---|---|---|---|
Course Related Works | |||
Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
Out of Class Study (Preliminary Work, Practice) | 14 | 7 | 98 |
Assesment Related Works | |||
Homeworks, Projects, Others | 0 | 0 | 0 |
Mid-term Exams (Written, Oral, etc.) | 1 | 15 | 15 |
Final Exam | 1 | 30 | 30 |
Total Workload (Hour) | 185 | ||
Total Workload / 25 (h) | 7,40 | ||
ECTS | 7 ECTS |