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 Engineering
  • Dept.of Materials Science and Engineering (English
  • Course Structure Diagram with Credits
  • Data Analysis and Optimization in Materials Science
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title MLZ494 - Data Analysis and Optimization in Materials Science
Course Type Area Elective Courses
Language of Instruction İngilizce
Laboratory + Practice 2+0
ECTS 3.0
Course Instructor(s) PROFESÖR DOKTOR ABDULLAH TUĞRUL SEYHAN
Mode of Delivery face-to-face
Prerequisites Processing of Polymers
Courses Recomended
Recommended Reading List
Assessment methods and criteria
Work Placement
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Injection molding and Extrusion
Week - 2 Input parameters
Week - 3 Definitions of the Experimental Parameters and Challenges in Polymer Processing,
Week - 4 Simple Comparison Experiments used in Different Polymer Processing Batches
Week - 5 Simple Comparison Experiments used in Different Polymer Processing Batches 2
Week - 6 Two and Three Parameter Weibull Distribution for Quality Assesment of the Plastic Products;
Week - 7 Two and Three Parameter Weibull Distribution for Quality Assesment of the Plastic Products 2
Week - 8 Analysis of Variance (ANOVA)
Week - 9 Introduction to Factorial Design
Week - 10 The (2k) Designs for Statistical Quality Assesment;
Week - 11 Three-Level and Mixed-Level Factorial Designs
Week - 12 Graphic Techniques, Correlation and Regression Analysis;
Week - 13 Multilinear Regression Models for Injection Molding;
Week - 14 Multilinear Regression Models for Injection Molding; Response Surface Method (RSM) to Optimize Polymer Process Yielding E

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Question & Answer
  • Report Preparation and/or Presentation

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
Final Exam 1 50
Practice 1 50
Toplam (%) 100
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