CANKIRI KARATEKIN UNIVERSITY Bologna Information System


  • Course Information
  • Course Title Code Semester Laboratory+Practice (Hour) Pool Type ECTS
    Numerical Solutions of Ordinary Differential Equations MAT413 FALL-SPRING 3+0 E 6
    Learning Outcomes
    1-Solves initial value problems for ordinary differential equations and systems with numerical methods.
    2-Solves boundary value problems for ordinary differential equations with numerical methods.
    3-Performs error, stability and convergence analysis of the applied methods.
  • ECTS / WORKLOAD
  • ActivityPercentage

    (100)

    NumberTime (Hours)Total Workload (hours)
    Course Duration (Weeks x Course Hours)14342
    Classroom study (Pre-study, practice)14684
    Assignments5166
    Short-Term Exams (exam + preparation) 5166
    Midterm exams (exam + preparation)4011414
    Project0000
    Laboratory 0000
    Final exam (exam + preparation) 5011616
    Other 0000
    Total Workload (hours)   168
    Total Workload (hours) / 30 (s)     5,6 ---- (6)
    ECTS Credit   6
  • Course Content
  • Week Topics Study Metarials
    1 Initial value problems, difference equations R1) Lecture notes
    2 Stability analysis, convergence analysis R1) Lecture notes
    3 One-step methods: Taylor series expansion methods, convergence analysis, first and second order Runge-Kutta methods R1) Lecture notes
    4 Third and fourth order Runge-Kutta methods, higher order Runge-Kutta methods, convergence and truncation error approach R1) Lecture notes
    5 Extrapolation method: Euler extrapolation, stability analysis R1) Lecture notes
    6 Implicit Runge-Kutta Methods, Obrechkoff methods R1) Lecture notes
    7 Solutions of system of ordinary differential equations, Euler and Runge-Kutta methods, stability analysis, stiff systems R1) Lecture notes
    8 Adaptive methods, Runge-Kutta-Treanor method, Liniger-Willoughby adaptation, Nystrom-Trenor adaptation R1) Lecture notes
    9 Multi-step methods: Explicit multi-step methods, Adams-Bashford formulas, Nystrom formulas, Implicit multi-step methods, Adams-Moulton formulas, Milne-Simpson formulas R1) Lecture notes
    10 General linear multi-step methods, truncation error approach, stability and convergence, extended error approaches R1) Lecture notes
    11 Predictor-corrector methods, implicit multi-step methods, (P(CE)^m)E method, Adams predictor-corrector method, modified methods R1) Lecture notes
    12 Hybrid methods: one-step hybrid methods, two-step hybrid methods R1) Lecture notes
    13 Higher order differential equations, hybrid methods, Obrachkoff methods, adaptive methods, Nonregular step methods: Adams-Bashforth methods, Adams-Moulton methods R1) Lecture notes
    14 Numerical methods for boundary value problems: Shooting method, difference equations, convergence R1) Lecture notes
    Prerequisites -
    Language of Instruction Turkish
    Responsible Prof. Dr. Ahmet Yaşar ÖZBAN
    Instructors -
    Assistants [1] Assist. Prof. Dr. Şerifenur CEBESOY ERDAL [2] Teach. Assist. Dr. Harun BALDEMİR [3] Teach. Assist. Dr. Emel BOLAT YEŞİLOVA
    Resources [1] Lecture notes [2] Numerical Solution of Differential Equations, M. K. Jain, Halsted Press, 1985.
    Supplementary Book Numerical Solution of Differential Equations, M. K. Jain, Halsted Press, 1985.
    Goals To teach the methods and their analysis for finding numerical solutions of partial differential equations
    Content Initial value problems, difference equations, Stability analysis, convergence analysis, Runge-Kutta methods, Extrapolation method, stability analysis, stiff systems, Adaptive methods, Multi-step methods, General linear multi-step methods, Predictor-corrector methods, Hybrid methods, Numerical methods for boundary value problems.
  • Program Learning Outcomes
  • Program Learning Outcomes Level of Contribution
    1 Having advanced theoretical and applied knowledge in the basic areas of mathematics 4
    2 Ability of abstract thinking -
    3 To be able to use the acquired mathematical knowledge in the process of defining, analyzing and separating the problem encountered into solution stages. -
    4 Associating mathematical achievements with different disciplines and applying them in real life -
    5 Ability to work independently in a problem or project that requires knowledge of mathematics 5
    6 Ability to work harmoniously and effectively in national or international teams and take responsibility 3
    7 Having the skills to critically evaluate and advance the knowledge gained from different areas of mathematics -
    8 To be able to determine what kind of knowledge learning the problem faced and to direct this knowledge learning process. -
    9 To adopt the necessity of learning constantly by observing the improvement of scientific accumulation over time -
    10 Ability to verbally and in writing convey thoughts on mathematical issues, and solution proposals to problems, to experts or non-experts. -
    11 Being able to produce projects and organize events with social responsibility awareness -
    12 Being able to follow publications in the field of mathematics and exchange information with colleagues by using a foreign language at least at the European Language Portfolio B1 General Level -
    13 Ability to use computer software (at least at the Advanced Level of European Computer Use License), information and communication technologies for solving mathematical problems, transferring ideas and results -
    14 Being conscious of acting in accordance with social, scientific, cultural and ethical values -
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