Ders Adı | Kodu | Yarıyıl | T+U Saat | Kredi | AKTS |
---|---|---|---|---|---|
Computatıonal Physıcs | FIZ 506 | 0 | 3 + 0 | 3 | 6 |
Ön Koşul Dersleri | |
Önerilen Seçmeli Dersler | |
Dersin Dili | Türkçe |
Dersin Seviyesi | YUKSEK_LISANS |
Dersin Türü | Seçmeli |
Dersin Koordinatörü | Doç.Dr. HÜSEYİN YASİN UZUNOK |
Dersi Verenler | Doç.Dr. HÜSEYİN YASİN UZUNOK, |
Dersin Yardımcıları | Teaching Assistants in The Department |
Dersin Kategorisi | Alanına Uygun Öğretim |
Dersin Amacı | To show students how to solve a problem whether it has an analytical solution or not, via numerical methods, and how to apply them at the C++ platform. |
Dersin İçeriği | Numerical error types, numerical methods for derivation, defined integration, and ordinary differential equations. |
# | Ders Öğrenme Çıktıları | Öğretim Yöntemleri | Ölçme Yöntemleri |
---|---|---|---|
1 | Comments on the chances of having a round-off error in a given mathematical representation. | Self Study, Lecture, Drilland Practice, Motivations to Show, | Homework, Testing, |
2 | Find solutions for a round-off error in a given mathematical representation. | Drilland Practice, Discussion, Question-Answer, Self Study, | Testing, Homework, |
3 | Find solutions for a truncation errors in a given mathematical representation. | Brain Storming, Discussion, Question-Answer, Self Study, | Testing, Homework, |
4 | Calculates the first-order derivative at a given point via one of the numerical methods and compare the result with the exact value. | Motivations to Show, Drilland Practice, Lecture, Self Study, | Testing, Homework, |
5 | Calculates the second-order derivative at a given point via one of the numerical methods and compare the result with the exact value. | Motivations to Show, Lecture, Self Study, | Testing, Homework, |
6 | Draws position vs. time plot of a moving object for a given force term. | Motivations to Show, Discussion, Question-Answer, Lecture, Self Study, | Homework, Testing, |
7 | Draws velocity vs. time plot of a moving object for a given force term. | Motivations to Show, Drilland Practice, Lecture, Self Study, | Testing, Homework, |
8 | Calculates the result of a given integral by using one of the numerical methods. | Motivations to Show, Drilland Practice, Lecture, Self Study, | Testing, Homework, |
9 | Solves a given ordinary differential equation of which the initial value of the dependent variable is known by using numerical methods and compares the result with the analytical one if exists. | Motivations to Show, Drilland Practice, Lecture, Self Study, | Testing, Homework, |
Hafta | Ders Konuları | Ön Hazırlık |
---|---|---|
1 | Python review | [3] |
2 | Python review | [3] |
3 | Python review | [3] |
4 | Number representations in Computers | [3] |
5 | Roun-off errors and practicing ways toward the elimination of them by examples | [3] |
6 | Truncation errors and practicing ways toward the elimination of them by examples. | [3] |
7 | Numerical methods of derivation and a practice example which gives the chances of comparison among them, and the effect of step size onto it. | [3] |
8 | Example-Variable force in one dimension. | [3] |
9 | Methods of numeric integration and a practice example which gives the chances of comparison among them. | [3] |
10 | Methods of numeric integration and a practice example which gives the chances of comparison among them. | [3] |
11 | Gauss Method and Gauss Integral. | [3] |
12 | Singular Integrals, Example: Exact solution of the simple pendulum. | [3] |
13 | Ordinary Differential Equations: Initial Value Problems, Euler method. | [3] |
14 | Runge-Kutta method. | [3] |
Kaynaklar | |
---|---|
Ders Notu | [1] Q. Kong, T. Siauw, A. M. Bayen, Python Programming and Numerical Methods, Elsevier Academic Press, 2021 [2] M. Newman, Computational Physics, University of Michigan, Revised and Expanded Version, 2013< [3] Dökümanlar-Ders Notları
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Ders Kaynakları | [4] B. Karaoğlu, Fortran ve Python ile Sayısal Fizik, Seçkin Yayınları, 2. Baskı, 2013 [5] B. Lubanovic, Introducing Python, SECOND EDITION, O'Reilly, 2020
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Sıra | Program Çıktıları | Katkı Düzeyi | |||||
---|---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | |||
1 | Using the knowledge of undergraduate and graduate education in postgraduate level. | X | |||||
2 | To be able to improve themselves by following the innovations in the field of Physics which are important in the development of science and technology. | X | |||||
3 | To be able to make literature search, presentation, experimental setup preparation, application and explication of results. | X | |||||
4 | To be able to join interdisciplinary and multidisciplinary team works. | ||||||
5 | Sharing their concepts in seminar, symposium, conference etc. by using the skills of self-study. | ||||||
6 | Having the scientific and vocational wafer and defending this apprehension in every medium. |
Değerlendirme Sistemi | |
---|---|
Yarıyıl Çalışmaları | Katkı Oranı |
1. Ödev | 25 |
2. Ödev | 25 |
3. Ödev | 25 |
1. Performans Görevi (Uygulama) | 25 |
Toplam | 100 |
1. Yıl İçinin Başarıya | 60 |
1. Final | 40 |
Toplam | 100 |
AKTS - İş Yükü Etkinlik | Sayı | Süre (Saat) | Toplam İş Yükü (Saat) |
---|---|---|---|
Course Duration (Including the exam week: 16x Total course hours) | 16 | 3 | 48 |
Hours for off-the-classroom study (Pre-study, practice) | 16 | 3 | 48 |
Mid-terms | 1 | 10 | 10 |
Quiz | 2 | 5 | 10 |
Assignment | 1 | 10 | 10 |
Final examination | 1 | 20 | 20 |
Toplam İş Yükü | 146 | ||
Toplam İş Yükü / 25 (Saat) | 5,84 | ||
Dersin AKTS Kredisi | 6 |