Calculus of variations, necessary conditions for extrema, isoperimetric problems. Partial differential equations. Cauchy Kowalevsky theorem, linear, quasi-linear, half-linear equations. Initial and boundary value problem for the wave and heat equations, Riemann method. Laplace equation, minimum and maximum principles. Integral transforms. Stability and bifurcation. Inverse scattering transform.
İlk dosyayı sen ekleyebilirsin — notlar, geçmiş finaller, çözümler, cheat-sheet, ne varsa. Drive linki / PDF / ZIP / fotoğraf, hepsi olur.
Şu an: mail at, ben düzenleyip yayına alayım. Form/upload UX yakında geliyor (Kimya tasarlıyor).
| Dönem | Course CPA | |
|---|---|---|
| 2024-2025 Fall | 3.52 | 1 sec · 11 öğr |
| 2021-2022 Fall | 3.28 | 1 sec · 5 öğr |
| 2019-2020 Spring | 3.43 | 1 sec · 7 öğr |
| 2018-2019 Spring | 2.93 | 1 sec · 7 öğr |
| 2017-2018 Spring | 3.29 | 1 sec · 9 öğr |
| 2015-2016 Spring | 3.16 | 1 sec · 10 öğr |
| 2013-2014 Spring | 3.33 | 1 sec · 3 öğr |
| 2012-2013 Spring | 3.00 | 1 sec · 6 öğr |
| 2011-2012 Spring | 3.67 | 1 sec · 7 öğr |
| 2010-2011 Spring | 3.00 | 1 sec · 1 öğr |
Aggregate course GPA — Bilkent STARS'tan public data. Hoca-bazlı per-section detayı için STARS evaluation report →. Öğrenci anket cevapları KVKK kapsamında defter'de tutulmaz.
There is no minimum requirement
Calculus of variations Calculus of variations Complex analysis background Complex analytical methods Transform and spectral theory Transform and spectral theory Partial differential equations Partial differential equations Variational principles Nonlinear problems Nonlinear problems Asymptotic analysis Asymptotic analysis Fundamental approximation methods ECTS - Workload Table: Activities Number Hours Workload Preparation for Final exam 1 20 20 Homework 4 10 40 Preparation for Midterm exam 2 15 30 Final exam 1 3 3 Course hours 14 3 42 Midterm exam 2 2 4 Individual or group work 14 1 14 Total Workload: 153 Total Workload / 30: 153 / 30 5.1 ECTS Credits of the Course: 5 Type of Course: Lecture Course Material: Lecture Notes Teaching Methods: Lecture