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 Computer And Information Technologies
  • Information Systems And Technologies (English)
  • Course Structure Diagram with Credits
  • Statistics
  • Description
  • Description
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Course Introduction Information

Code - Course Title İST2046 - Statistics
Course Type Required Courses
Language of Instruction İngilizce
Laboratory + Practice 4+0
ECTS 5.0
Course Instructor(s) DOÇENT DOKTOR ŞÜKRÜ ACITAŞ
Mode of Delivery FACE TO FACE
Prerequisites NONE
Courses Recomended NONE
Required or Recommended Resources * McClave, J.T. and Sincich, T. (2013). Statistics, Pearson Education.* Devore, J. L. (2011). Probability and Statistics for Engineering and the Sciences (Eigth edition). Cengage learning.* Johnson, R. A. and Bhattacharyya, G.K. (2009). Statistics: principles and methods (Sixth edition). John Wiley \\\\& Sons.* Moore, D. S., McCabe, G. P. and Craig, B. A. (2012). Introduction to the Practice of Statistics.* David R. Anderson, Dennis J. Sweeney and Thomas A. Williams, Statistics for Business and Economics, 11th Edition.* Peck, R., Olsen, C. and Devore, J. L. (2015). Introduction to statistics and data analysis. Cengage Learning.* Newbold, P., Carlson, W. and Thorne, B. (2013). Statistics for business and economics. Pearson.
Recommended Reading List * McClave, J.T. and Sincich, T. (2013). Statistics, Pearson Education.* Devore, J. L. (2011). Probability and Statistics for Engineering and the Sciences (Eigth edition). Cengage learning.* Johnson, R. A. and Bhattacharyya, G.K. (2009). Statistics: principles and methods (Sixth edition). John Wiley \\\\& Sons.* Moore, D. S., McCabe, G. P. and Craig, B. A. (2012). Introduction to the Practice of Statistics.* David R. Anderson, Dennis J. Sweeney and Thomas A. Williams, Statistics for Business and Economics, 11th Edition.* Peck, R., Olsen, C. and Devore, J. L. (2015). Introduction to statistics and data analysis. Cengage Learning.* Newbold, P., Carlson, W. and Thorne, B. (2013). Statistics for business and economics. Pearson.
Assessment methods and criteria MIDTERMPROJECTQUIZFINAL
Work Placement NONE
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Introduction to Statistics and Basic Concepts
Week - 2 Data Collection and Organization
Week - 3 EN: Measures of Central Tendency and Variability
Week - 4 EN: Introduction to Probability Theory
Week - 5 EN: Discrete and Continuous Distributions
Week - 6 EN: Sampling Distributions and Estimation Theory
Week - 7 EN: Introduction to hypothesis testing, One-sample tests (z-test, t-test), p-value and significance level
Week - 8 EN: Two-sample tests (Independent and Paired t-test)
Week - 9 EN: One-way Analysis of Variance (ANOVA)
Week - 10 EN: Chi-Square Test
Week - 11 EN: Regression Analysis
Week - 12 EN: Correlation coefficient and interpretation
Week - 13 EN: Software Applications for Data Analysis (Excel, R, or Python)
Week - 14 EN: Data Analysis Project Presentations

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Question & Answer
  • Demonstration
  • Competences
  • Questoning
  • Eleştirel düşünebilme
  • Abstract analysis and synthesis
  • Problem solving
  • Applying theoretical knowledge into practice
  • Elementary computing skills

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
Toplam (%) 0
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