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 Science
  • Department of Mathematics
  • Course Structure Diagram with Credits
  • Analytic Geometry I
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title MAT115 - Analytic Geometry I
Course Type Required Courses
Language of Instruction Türkçe
Laboratory + Practice 2+2
ECTS 5.0
Course Instructor(s) PROFESÖR DOKTOR ŞENAY BULUT, ARAŞTIRMA GÖREVLİSİ DOKTOR GÖKÇE ÇAKMAK
Mode of Delivery The mode of delivery of this course is Face to face
Prerequisites There is no prerequisite or co-requisite for this course.
Courses Recomended There is no recommended optional programme component for this course.
Recommended Reading List
Assessment methods and criteria Midterm I , Midterm II ,  Final exam
Work Placement N/A
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Matrices
Week - 2 Systems of linear equations
Week - 3 Matrices
Week - 4 Solving systems of Linear Equations by using matrices
Week - 5 Determinant
Week - 6 Cartesian coordinates of plane
Week - 7 Cartesian coordinates of plane
Week - 8 Parallel Coordinates, Polar Coordinates
Week - 9 Cartesian Coordinates of Space, Vectors
Week - 10 Vectors
Week - 11 Vectors
Week - 12 Coordinate transformations, Translations
Week - 13 Rotations, Composition of Translations and Rotations
Week - 14 Affin transformations, Symmetry

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Question & Answer
  • Observation
  • Team/Group Work
  • Drill - Practise
  • Competences
  • Productive
  • Rational
  • Questoning
  • Creative
  • Follow ethical and moral rules
  • Work in teams
  • Use time effectively
  • Eleştirel düşünebilme
  • Abstract analysis and synthesis
  • Problem solving
  • Applying theoretical knowledge into practice
  • Information Management
  • To work autonomously
  • Organization and planning
  • Elementary computing skills
  • Decision making

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 20
2.Midterm Exam 1 30
Homework 1 10
Final Exam 1 40
Toplam (%) 100
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