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 Statistics
  • Course Structure Diagram with Credits
  • Analysis I
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title MAT209 - Analysis I
Course Type Required Courses
Language of Instruction Türkçe
Laboratory + Practice 4+0
ECTS 6.0
Course Instructor(s) ARAŞTIRMA GÖREVLİSİ DOKTOR MEHMET ERGEN
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 Fikhtengolts G:M, (1979), The Fundamentals of Mathematical Analysis Volume I, Pergomon Press. Fikhtengolts G:M, (1979), The Fundamentals of Mathematical Analysis Volume II, Pergomon Press. Musayev, B., Alp, M., Mustafayev, N., Ekincioğlu, İ., (2003), Teori ve Çözümlü Problemlerle Analiz I, Tek Ağaç Yayıncılık. Musayev, B., Alp, M., Mustafayev, N., (2003), Teori ve Çözümlü Problemlerle Analiz II, Tek Ağaç Yayıncılık. Kudryavtsev, V.A., Demidovich, B.P. (1975) A Brief Course of Higher Mathematics, Central Books. Khuri A.I., (2003), Advanced Calculus with Applications in Statistics, Wiley-Interscience.
Assessment methods and criteria 2 Midterm exams, 1 Final Exam
Work Placement N/A
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Sequence and series, convergence and divergence.
Week - 2 Series with positive terms.
Week - 3 Alternate series.
Week - 4 Absolute convergence.
Week - 5 Functional series.
Week - 6 Power Series,Taylor and McLaurent series and applications.
Week - 7 Multivariate functions, limit.
Week - 8 Continuity.
Week - 9 Partially Derivatives.
Week - 10 Differantials
Week - 11 Directional derivatives.
Week - 12 Derivative of composite function. Chains rule.
Week - 13 Closed functions and derivatives.
Week - 14 Extremum of multivariate functions, conditional extremum

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Question & Answer
  • Drill - Practise
  • Problem Solving
  • Competences
  • Productive
  • True to core values
  • Rational
  • Questoning
  • Creative
  • Follow ethical and moral rules
  • Abstract analysis and synthesis
  • Problem solving
  • Applying theoretical knowledge into practice
  • Elementary computing skills

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 25
2.Midterm Exam 1 25
Final Exam 1 50
Toplam (%) 100
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