CANKIRI KARATEKIN UNIVERSITY Bologna Information System


  • Course Information
  • Course Title Code Semester Laboratory+Practice (Hour) Pool Type ECTS
    Advanced Numerical Methods in Civil Engineering INS510 FALL-SPRING 3+0 E 6
    Learning Outcomes
    1-Can solve problems using numerical methods.
    2-Can model engineering problems and make appropriate solutions by using numerical methods based on the model.
    3-Can solve the differential equations which do not have analytical solution using numerical methods.
    4-Can solve civil engineering problems utilizing numerical methods using computer.
  • ECTS / WORKLOAD
  • ActivityPercentage

    (100)

    NumberTime (Hours)Total Workload (hours)
    Course Duration (Weeks x Course Hours)14342
    Classroom study (Pre-study, practice)14456
    Assignments255525
    Short-Term Exams (exam + preparation) 0000
    Midterm exams (exam + preparation)2512525
    Project0000
    Laboratory 0000
    Final exam (exam + preparation) 5012525
    0000
    Total Workload (hours)   173
    Total Workload (hours) / 30 (s)     5,77 ---- (6)
    ECTS Credit   6
  • Course Content
  • Week Topics Study Metarials
    1 Introduction to numerical analysis, error concept and error types, Taylor and Maclaurin series R1-Chapter 1, R2-Chapter 2, R3-Chapter 1
    2 The solution of linear equation systems by numerical methods, matrix concepts, matrix types, matrix transposition, matrix operations, elementary row operations, the inverse of matrices R4-Chapter 3, R5-Chapter 7
    3 Determinant calculation (Sarrus method), minor and cofactor calculation, determinant calculation with cofactor, determinant properties R4-Chapter 3, R5-Chapter 7
    4 Solution method of linear equation systems, positive and semi-positive definite matrices, Cholesky factorization method, Jacobi iteration method, Gauss Seidel iteration method R4-Chapter 3, R5-Chapter 7
    5 Numerical solution of nonlinear equations, division by two method, interpolation method, Newton Raphson method R6-Chapter 6, R7-Chapter 3, R3-Chapter 6, Chapter 8
    6 Secant method, Repetition method, Least squares method R6-Chapter 6, R7-Chapter 3, R3-Chapter 6, Chapter 8
    7 Interpolation, linear interpolation method, curvilinear interpolation method, Lagrange interpolation method R3-Chapter 7, R2-Chapter 9
    8 Numerical differential, Taylor series method, Euler method R1-Chapter 10, R2-Chapter 9
    9 Picard iteration method, Range Kunta method R1-Chapter 10, R2-Chapter 9
    10 Second order Range Kunta method, Heun method R1-Chapter 10, R2-Chapter 9
    11 Midpoint method, Ralston method R1-Chapter 10, R2-Chapter 9
    12 Third order Range Kunta method, Fourth order Range Kunta method R1-Chapter 10, R2-Chapter 9
    13 Numerical integral, trapezoid rule R1-Chapter 8, R2-Chapter 8
    14 Simpson 1/3, Simpson 3/8 R1-Chapter 8, R2-Chapter 8
    Prerequisites None
    Language of Instruction Turkish
    Responsible Asst. Prof. Dr. Pembe Merve KARABULUT
    Instructors

    1-)Doktor Öğretim Üyesi Pembe Merve Karabulut

    Assistants -
    Resources R1-Uzun, İ. (2004). Mühendis nümerik çözüm yöntemleri. (3. Baskı). Beta Yayıncılık. İstanbul. R2-Karagöz, İ. (2014). Sayısal analiz ve mühendislik uygulamaları. (4. Baskı). Nobel Akademik Yayıncılık. Ankara. R3-Bakioğlu, M. (2011). Sayısal analiz. Birsen Yayınevi. İstanbul. R4-Tapramaz, R. (2005). Sayısal çözümleme. Literatür Yayınları:76. İstanbul. R5-Çağal, B. (1989). Sayısal analiz. Birsen Yayınevi. İstanbul. R6-Amirali, G. & Duru, H. (2002). Nümerik analiz. Pegem Yayıncılık. Ankara. R7-Bayram, M. (2009). Nümerik analiz. Birsen Yayınevi. İstanbul.
    Supplementary Book SR-Hacısalihoğlu, H.H. (2005). Temel ve genel matematik cilt: 2. (5. Baskı). Ertem Matbaacılık. Ankara. AR2-Süli, E. & Mayers, D. (2008). An introduction to numerical analysis. Cambridge University Press. New York. AR3-Bakioğlu, M., Kadıoğlu, F., Barlas, B. & Yanık, A. (2011). Sayısal analiz problemleri. Birsen Yayınevi. İstanbul.
    Goals To gain the ability to apply numerical methods in the solution of engineering problems, to gain the ability to apply the knowledge acquired in engineering courses (strength, fluid mechanics, heat transfer, etc.) and in working life.
    Content Introduction to numerical analysis, matrix and determinant, systems of linear equations, inverse of matrix, systems of nonlinear equations, interpolation, curve fitting, numerical derivative, numerical integration, numerical solutions of differential equations.
  • Program Learning Outcomes
  • Program Learning Outcomes Level of Contribution
    1 Acquires information by carrying out scientific research in the field of Civil Engineering, evaluates the findings and makes comments -
    2 Complements the restricted or incomplete information and applies it, unifies the multidisciplinary information 4
    3 Designs and implements a system meeting the requirements in the field of Civil Engineering 4
    4 Makes an interpretation of a problem in the field of Civil Engineering, develops models for solutions and applies innovative methods in these solutions -
    5 Has comprehensive knowledge on the contemporary applied method and techniques used in the field of Civil Engineering and their limitations -
    6 Undertakes and implements analytic, simulation or experimental types of research and has the ability to solve the complex problems encountered there 2
    7 Can participate and assume responsibility in multidisciplinary task forces -
    8 Observes the scientific, professional and ethical rules during data collection, its introduction and interpretation 2
    9 Be aware of recent advances and developments in the field of Civil Engineering, learns, analyses and applies them wherever needed -
    10 Publishes his/her research findings verbally and in written forms in national and international arena -
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