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SAYISAL ANALİZ DERS TANITIM VE UYGULAMA BİLGİLERİ

Kodu Dersin Adı Yarıyıl Süresi(T+U) Kredisi AKTS Kredisi
MAT219 SAYISAL ANALİZ 4 3 3 5

DERS BİLGİLERİ

Dersin Öğretim Dili : Türkçe
Dersin Düzeyi BACHELOR'S DEGREE, TYY: + 6.Level, EQF-LLL: 6.Level, QF-EHEA: First Cycle
Dersin Türü Zorunlu
Dersin Veriliş Şekli -
Dersin Koordinatörü Prof. HAMDİ ALPER ÖZYİĞİT
Dersi Veren Öğretim Üyesi/Öğretim Görevlisi
Ders Ön Koşulu Yok

AMAÇ VE İÇERİK

Amaç: To provide students with the language, logic and mathematics of numerical methods used in engineering and science, and to teach them how to use numerical methods to solve problems in a wide range of areas in science, industry and society.
İçerik: Definition of Numerical Analysis and especially its use in engineering applications. Error analysis in numerical methods, analytical solutions, solutions of linear and nonlinear equation systems, approximation methods, interpolation, linear regression, numerical integration.

DERSİN ÖĞRENME ÇIKTILARI (Öğrenciler, bu dersi başarı ile tamamladıklarında aşağıda belirtilen bilgi, beceri ve/veya yetkinlikleri gösterirler.)

Students taking this course will; I. Understand the fundamentals of numerical analysis. II. Have the ability to use numerical methods in the analysis of a problem in engineering. III. Have the ability to choose the right solution method for a particular topic.

HAFTALIK DERS KONULARI VE ÖNGÖRÜLEN HAZIRLIK ÇALIŞMALARI

Hafta Ön Hazırlık Konular Yöntem
1 - Introduction, Errors in Numerical Operations -
2 - Matrix, Solutions of Linear Equation Systems, Introduction -
3 - Direct Methods I: LU, Separation Method, Dolittle Method, Crout Method -
4 - Direct Methods II: Cholesky Method -
5 - Indirect Methods: Jacobi Method, Gauss Seidel Method, Error Analysis in Linear Equation System Solutions -
6 - Nonlinear Equations I: Finding the Root Interval, Bisection Method -
7 - Nonlinear Equations II: Fixed point iteration method, Newton Raphson Method -
8 - MID-TERM EXAM -
9 - Approximation Method I: Interpolation, Interpolation Polynomials -
10 - Approximation Method II: Lagrange Interpolation, Newton Interpolation, Divided Differences Interpolation -
11 - Numerical Derivativaton I: Forward Difference - Backword Difference - Central Difference Methods -
12 - Numerical Derivativaton II: First and second order derivatives -
13 - Numerical Integration I: Pivot Point, Interpolation Line and Integration Formulas -
14 - Numerical Integration II: Interpolation Parabola, Simpson's Method, Numerical Integral Error Analysis -
15 - An overview -
16 - FINAL EXAM -
17 - FINAL EXAM -

KAYNAKLAR

An Introduction to Numerical Methods and Analyses, James F. Epperson, John Wiley and Sons, 2001, ISBN:0471316474.
Sayısal Çözümleme, R. Tapramaz, Literatür yayıncılık, 2002, ISBN:0130126411
Nümerik Analiz, İ. uzun, Beta yayınları, 2004, 4. ISBN:9754869529
Mühendisler için sayısal yöntemler, Chaapra, S., C., Canale, R., P., Literatür Kitabevi, 2003, ISBN:0130126411.

ÖLÇME VE DEĞERLENDİRME

Yarıyıl İçi Yapılan Çalışmaların Ölçme ve Değerlendirmesi Etkinlik Sayısı Katkı Yüzdesi Açıklama
(0) Etkisiz (1) En Düşük (2) Düşük (3) Orta (4) İyi (5) Çok İyi
0 1 2 3 4 5

DERSİN PROGRAM ÖĞRENME ÇIKTILARINA KATKISI

KNOWLEDGE
Theoretical
Program Yeterlilikleri/Çıktıları Katkı Düzeyi
0 1 2 3 4 5
1
Able to adopt math and science knowledge to the problems of Mechatronic Engineering.
5
KNOWLEDGE
Factual
Program Yeterlilikleri/Çıktıları Katkı Düzeyi
0 1 2 3 4 5
1
Can use the scientific methods to solve problems of Mechatronic Engineering.
4
2
Able to plan experiment, build hardware, collect data using modern devices and analyze data.
0
SKILLS
Cognitive
Program Yeterlilikleri/Çıktıları Katkı Düzeyi
0 1 2 3 4 5
1
Can define, scientize and solve the actual mechatronics problems.
2
SKILLS
Practical
Program Yeterlilikleri/Çıktıları Katkı Düzeyi
0 1 2 3 4 5
1
Use modern tools such as softwares in engineering design and analysis.
0
OCCUPATIONAL
Autonomy & Responsibility
Program Yeterlilikleri/Çıktıları Katkı Düzeyi
0 1 2 3 4 5
1
Prone to work in interdisciplinary teams and be a team leadership.
2
OCCUPATIONAL
Learning to Learn
Program Yeterlilikleri/Çıktıları Katkı Düzeyi
0 1 2 3 4 5
1
Able to find solutions that meet technical and economical expectations when designing a system with components.
3
2
Can approach with a global perspective to Mechatronics Engineering.
0
3
Able to keep up to date of self-awarness in the field.
0
4
Can follow academic and industrial developments related Mechatronics Engineering.
0
OCCUPATIONAL
Communication & Social
Program Yeterlilikleri/Çıktıları Katkı Düzeyi
0 1 2 3 4 5
1
Able to work in the field, interdisciplinary and multidisciplinary environments.
1
2
Have written and verbal communication skills in Turkish and English.
0
OCCUPATIONAL
Occupational and/or Vocational
Program Yeterlilikleri/Çıktıları Katkı Düzeyi
0 1 2 3 4 5
1
Have professional and ethical values and sensitive to these.
0
2
Sensitive to health and safety issues in Mechatronic Engineering.
0
3
Sensitive to social, environmental and economic factors in professional activities.
0

DERSİN İŞ YÜKÜ VE AKTS KREDİSİ

Öğrenme-Öğretme Etkinlikleri İş Yükü
Öğrenme-Öğretme Etkinlikleri Etkinlik(hafta sayısı) Süresi(saat sayısı) Toplam İş Yükü
Lecture & In-Class Activities 14 3 42
Preliminary & Further Study 14 1 14
Land Surveying 0 0 0
Group Work 0 0 0
Laboratory 0 0 0
Reading 0 0 0
Assignment (Homework) 0 0 0
Project Work 0 0 0
Seminar 0 0 0
Internship 0 0 0
Technical Visit 0 0 0
Web Based Learning 0 0 0
Implementation/Application/Practice 14 1 14
Practice at a workplace 0 0 0
Occupational Activity 0 0 0
Social Activity 0 0 0
Thesis Work 0 0 0
Field Study 0 0 0
Report Writing 0 0 0
Final Exam 1 1 1
Preparation for the Final Exam 1 30 30
Mid-Term Exam 1 2 2
Preparation for the Mid-Term Exam 1 20 20
Short Exam 0 0 0
Preparation for the Short Exam 0 0 0
TOTAL 46 0 123
Genel Toplam 123
Toplam İş Yükü / 25.5 4,8
Dersin AKTS(ECTS) Kredisi 5,0