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Eskişehir Academy of Economic and Commercial Sciences, founded in 1958, formed the basis of Anadolu University. The Academy was replaced by Anadolu University in 1982, which has gained a well-deserved place as a modern, dynamic and innovative institution among the largest universities not only in Türkiye, but also in the world.
ACADEMICS
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Anadolu University Open Education Faculty plays an essential role in overcoming educational problems of Türkiye not only by providing open and distance education to 1 million active students and 4 million graduates but also by developing specific projects. Besides with those numbers, the system is among the mega universities of the world. By the constantly renewing method of open and distance education, it implements many initiatives and innovations in the Turkish Higher Education System.
STUDENT AFFAIRS
RESEARCH
Araştırma
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Kısa adıyla BAP (Bilimsel Araştırma Projeleri), yüksek öğretim kurumlarındaki bilimsel araştırmaların desteklenmesi amacıyla geliştirilmiş bir uygulamadır. Bu uygulama YÖK'ün 01.01.2002 tarihinden geçerli olmak üzere yürülüğe aldığı Yükseköğretim Kurumları Bilimsel Araştırma Projeleri Hakkında Yönetmelik uyarınca gerçekleştirilmektedir. Üniversitemizin tüm öğretim elemanları BAP Komisyonuna başvurarak bilimsel araştırmaları için kaynak alabilirler.
CAMPUS LIFE
Kampüste Yaşam
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At Anadolu University, social and cultural activities are as important as education and scientific research. The University frequently holds scientific events such as conferences, seminars, panels, congresses and symposia, and cultural activities such as exhibitions, stage performances and concerts. In addition to smaller conference halls in each unit, Atatürk Culture and Arts Center, Congress Center and Cinema Anadolu on Yunusemre Campus house many activities throughout the year.

LINEAR ALGEBRA AND DIFFERENTIAL EQUATIONS

Learning Outcomes

Express the basic concepts about arbitrary finite-dimensional vector space.
Define the concepts of vector space and subspace of a vector space.
Use vector space properties to examine the properties of R^n and subspaces of R^n.
Determine whether a subset of a vector space is linear dependent.
Describe the concept of a basis for a vector space.
Investigate properties of vector spaces and subspaces by using linear transformations.
Express linear transformation between vector spaces.
Represent linear transformations by matrices.
Explain the relation between vector space basis by matrices.
Describe the concepts of eigenvalue, eigenvector and characteristc polynomial.
Determine whether a linear transformation is diagonalizable or not.
Generalize the concept of a real inner product space to an arbitrary inner product space.
Express the concepts of an inner product space and an orthonormal basis.
Apply the gram-schmidt process to construct an orthonormal basis for a space.
Analyze the solution set of a system of linear equations.
Do basic matrix operations.
Express a system of linear equations in matrix form.
Do the elementary row operations for the matrices and systems of linear equations.
Apply Cramer's rule to solve a system of linear equations if the determinant of the matrix of coefficients of the system is not zero.
Understand solution character of homogeneous and nonhomogeneous linear DE's, the relation between them, and solve linear DE's with constant coefficients by two methods
Apply the method of undetermined coefficients.
Apply variation of parameters.
Express solution methods of the first and second order linear differential equations.
Express solution methods of higher-order linear differential equations.