FIRST SEMESTER 2020/2021

1. Introduction to Applied Statistics
   1. Syllabus.
   2. Lecture Notes: L1, Normal Distribution, Introduction to SPSS.
   3. Quizzes: Q1.
   4. First Exam: Solution, Analysis.
2. Regression Analysis
   1. Syllabus.
   2. Lecture Notes: L1, L2, L3, L4, L5, L6, L7, L8, L9.
   3. Fist Exam: Solution.
3. Experimental Design and Biostatistics
   1. Syllabus.
   2. Lecture Notes: L1, L2, L3 (updated), L4, Introduction to SPSS.
   3. Lecture Videos: L1, L2.1, L2.2, L2.3, L2.4, L2.5, L3.1, L3.2, L4.
   4. Quizzes: Q1.
   5. First Exam: Solution, Analysis.
4. Probability and Statistics for Intelligent Systems (Graduate Course)
   1. Lecture Notes: Descriptive Statistics, Test Procedures, ANOVA Designs.

SUMMER SEMESTER 2019/2020

1. Biostatistics for Medicine
   1. Syllabus
   2. Lecture Notes: Will be posted on on Moodle through E-Class.

SECOND SEMESTER 2019/2020

1. Categorical Data Analysis
   1. Syllabus
   2. Lecture Notes: L1, L2, Sensitivity and Specificity, L3, L4, L5, Fisher Exact Test, Three-Way Tables, GLM (Part I), GLM (Part II).
   3. Quizzes: Q1, Q2, Q3, Q4.
   4. First Exam: Sol.
   5. Second Exam: Sol.
   6. Final Exam.
2. Calculus I
   1. Syllabus
   2. Lecture Notes: Chapter 2.
   3. Youtube: Section 2.1, Section 2.2, Section 2.4, One-Sided Limit, Continuity (Part I), Continuity (Part II).
   4.  
3. Probability and Statistics for Engineers
   1. Syllabus
   2. Lecture Notes: Chapter 2, Chapter 3, Chapter 4.
   3. Youtube: L1, L2, L3, L4, L5, 

FIRST SEMESTER 2019/2020

1. Probability Theory
   1. Lecture Notes: L5, Gamma Distribution, L6, L7, L8.
   2. Quiz #1 Solution P1, P2.
   3. First Exam: P1, P2, P3, P4.
   4. Second Exam: Solution.
2. Regression Analysis
   1. Lecture Notes: L1, L2, L3, L4, L5, L6, L7, L8, L9.
   2. First Exam.
3. Experimental Design and Biostatistics
   1. Lecture Notes: L1, L2, L3 (updated), L4, Introduction to SPSS.
   2. Lecture Videos: L1, L2.1, L2.2, L2.3, L2.4, L2.5, L3.1, L3.2, L4.
   3. First Exam: P1, P2, P3, P4. Statistical Analysis.
   4. Second Exam: Solution.
   5. Quizzes: Q3.
   6. Exercises: One-sample and two-sample t-test, ANOVA.
4. Probability and Statistics for Intelligent Systems (Graduate Course)
   1. Lecture Notes: Descriptive Statistics, Test Procedures, ANOVA Designs.

SECOND SEMESTER 2018/2019

1. Analysis of Variance
2. Categorical Data Analysis
3. Experimental Design and Biostatistics

FIRST SEMESTER 2018/2019

1. Mathematical Statistics (Graduate Course)
2. Regression Analysis

SECOND SEMESTER 2017/2018

1. Experimental Design and Biostatistics
2. Categorical Data Analysis
3. Variance Analysis

FIRST SEMESTER 2017/2018

1. Statistics for Entrepreneurship
2. Introduction to Statistics
3. Experimental Design and Biostatistics
4. Regression Analysis