İzmir Ekonomi Üniversitesi
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  • MÜHENDİSLİK FAKÜLTESİ

    Makine Mühendisliği

    MATH 250 | Ders Tanıtım Bilgileri

    Dersin Adı
    Linear Algebra for Engineers
    Kodu
    Yarıyıl
    Teori
    (saat/hafta)
    Uygulama/Lab
    (saat/hafta)
    Yerel Kredi
    AKTS
    MATH 250
    SPRING
    3
    0
    3
    6

    Ön-Koşul(lar) MATH 153 To get a grade of at least FD MATH 109 To get a grade of at least FD
    Dersin Dili English
    Dersin Türü Zorunlu
    Dersin Düzeyi Lisans
    Dersin Veriliş Şekli
    Dersin Öğretim Yöntem ve Teknikleri Problem Solving Q&A Lecture / Presentation
    Ulusal Meslek Sınıflandırma Kodu -
    Dersin Koordinatörü
    • Doç. Dr. Sevin Gümgüm
    Öğretim Eleman(lar)ı
    • Dr. Öğr. Üyesi Neslişah İmamoğlu Karabaş
    • Doç. Dr. Sevin Gümgüm
    Yardımcı(ları) -
    Dersin Amacı The main objective of this course is to establish a basicmathematical background for the students who will receiveengineering courses based on linear algebra by providingthem with the basic knowledge on linear vector spaces,matrix operations as well as on the methods for solving andanalyzing linear systems of algebraic equations.
    Öğrenme Çıktıları Bu dersi başarıyla tamamlayabilen öğrenciler;
    Ad Açıklama PC Alt * Katkı Düzeyi
    1 2 3 4 5
    LO1 apply the rowoperations to find(reduced) rowechelon forms ofmatrices. 1.1 X
    LO2 find the inverse ofa matrix. 1.1 X
    LO3 apply basicconcepts of linearmodels to variousapplications. 1.1 X
    LO4 evaluate thedeterminants ofmatrices. 1.1 X
    LO5 investigate thelinearindependence ofvectors. 1.1 X
    LO6 identify vectorspaces and theirsubspaces. 1.1 X
    LO7 compute theeigenvalues of amatrix andcorrespondingeigenvectors. 1.1 X
    LO8 describe the innerproduct. 1.1 X
    Ders Tanımı The main subjects of the course are the vector and matrixoperations, linear independence and dependence of vectors,linear vector spaces and subspaces, dimensions and basisvectors for vector spaces, linear transformations,determinants, eigenvalue and eigenvectors.
    Dersin İlişkili Olduğu Sürdürülebilir Kalkınma Amaçları
    -

     



    Dersin Kategorisi

    Temel Ders
    X
    Uzmanlık/Alan Dersleri
    Destek Dersleri
    İletişim ve Yönetim Becerileri Dersleri
    Aktarılabilir Beceri Dersleri

     

    HAFTALIK KONULAR VE İLGİLİ ÖN HAZIRLIK ÇALIŞMALARI

    Hafta Konular Ön Hazırlık Öğrenme Çıktısı
    1 Systems of linearequations, rowreduction andechelon forms, vectorequations David C.Lay, StephanR.Lay and Judi J.McDonald, "LinearAlgebra and ItsApplications", 5th ed.(Pearson, 2015).Sections 1.1, 1.2,D0avid C.Lay,Stephan R.Lay andJudi J. McDonald,"Linear Algebra andIts Applications", 5thed.( Pearson, 2015).Sections 1.1, 1.2, 1.3 -
    2 The matrix equationAx=b, Solution sets oflinear systems,applications of linearsystems David C.Lay, StephanR.Lay and Judi J.McDonald, "LinearAlgebra and ItsApplications", 5th ed.(Pearson, 2015).Sections 1.4, 1.5, 1.6 -
    3 Linear Independence, introduction to linear transformations David C.Lay, Stephan R.Lay and Judi J. McDonald, "Linear Algebra and Its Applications", 5th ed.( Pearson, 2015). Sections 1.7, 1.8 -
    4 The matrix of a linear transformation and applied modeling of electrical networks, population movement, and infrastructure flows David C.Lay, Stephan R.Lay and Judi J. McDonald, "Linear Algebra and Its Applications", 5th ed.( Pearson, 2015). Sections 1.9, 1.10 -
    5 Matrix operations, The inverse of a matrix David C.Lay, Stephan R.Lay and Judi J. McDonald, "Linear Algebra and Its Applications", 5th ed.( Pearson, 2015). Sections 2.1, 2.2 -
    6 Characterization of invertible matrices, matrix factorizations and decomposition learning David C.Lay, Stephan R.Lay and Judi J. McDonald, "Linear Algebra and Its Applications", 5th ed.( Pearson, 2015). Sections 2.3, 2.5 -
    7 Introduction to determinants, properties of determinants David C.Lay, Stephan R.Lay and Judi J. McDonald, "Linear Algebra and Its Applications", 5th ed.( Pearson, 2015).Section 3.1, 3.2, 3.3 -
    8 Cramer’s rule, volume, and linear transformations, Vector spaces and subspaces David C.Lay, Stephan R.Lay and Judi J. McDonald, "Linear Algebra and Its Applications", 5th ed.( Pearson, 2015).Section 3.3, 4.1 -
    9 Midterm Exam -
    10 Null spaces, column spaces, and linear transformations, Linearly independent sets, bases David C.Lay, Stephan R.Lay and Judi J. McDonald, "Linear Algebra and Its Applications", 5th ed.( Pearson, 2015). Sections 4.2, 4.3 -
    11 The dimension of a vector space, Rank, Application for Markov chains David C.Lay, Stephan R.Lay and Judi J. McDonald, "Linear Algebra and Its Applications", 5th ed.( Pearson, 2015). Sections 4.5, 4.6, 4.9 -
    12 Eigenvalues and eigenvectors, The characteristic equation, Diagonalization David C.Lay, Stephan R.Lay and Judi J. McDonald, "Linear Algebra and Its Applications", 5th ed.( Pearson, 2015). Sections 5.1, 5.2, 5.3 -
    13 Diagonalization, Inner product, length, and orthogonality, orthogonal sets David C.Lay, Stephan R.Lay and Judi J. McDonald, "Linear Algebra and Its Applications", 5th ed.( Pearson, 2015). Sections 5.3, 6.1, 6.2 -
    14 The Gram-Schmidt process, review David C.Lay, Stephan R.Lay and Judi J. McDonald, "Linear Algebra and Its Applications", 5th ed.( Pearson, 2015). Section 6.4 -
    15 Semester review -
    16 Final exam -

     

    Ders Kitabı David C.Lay
    Stephan R.Lay and Judi J. McDonald
    "Linear Algebra and Its Applications"
    5 th ed. (Pearson
    2015). ISBN-13:978-0321982384
    Önerilen Okumalar/Materyaller -

     

    DEĞERLENDİRME ÖLÇÜTLERİ

    Yarıyıl Aktiviteleri Sayı Katkı Payı % LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8
    Küçük Sınav / Stüdyo Kritiği 4 20 X X X X X X X X
    Ara Sınav 1 30 X X X X X X X X
    Final Sınavı 1 50 X X X X X X X X
    Toplam 6 100

     

    AKTS / İŞ YÜKÜ TABLOSU

    Yarıyıl Aktiviteleri Sayı Süre (Saat) İş Yükü
    Katılım - - -
    Teorik Ders Saati 16 3 48
    Laboratuvar / Uygulama Ders Saati - - -
    Sınıf Dışı Ders Çalışması 14 3 42
    Arazi Çalışması - - -
    Küçük Sınav / Stüdyo Kritiği 4 5 20
    Portfolyo - - -
    Ödev - - -
    Sunum / Jüri Önünde Sunum - - -
    Proje - - -
    Seminer/Çalıştay - - -
    Sözlü Sınav - - -
    Ara Sınavlar 1 30 30
    Final Sınavı 1 40 40
        Toplam 180

     

    DERSİN ÖĞRENME ÇIKTILARININ PROGRAM YETERLİLİKLERİ İLE İLİŞKİSİ

    # PC Alt Program Yeterlilikleri / Çıktıları * Katkı Düzeyi
    1 2 3 4 5
    1

    Engineering Knowledge: Knowledge of mathematics, science, basic engineering, computation, and related engineering discipline-specific topics; the ability to apply this knowledge to solve complex engineering problems.

    1

    Mathematics

    LO7 LO1 LO2 LO3 LO4 LO5 LO6 LO8
    2

    Science

    3

    Basic Engineering

    4

    Computation

    5

    Related engineering discipline-specific topics

    6

    The ability to apply this knowledge to solve complex engineering problems

    2

    Problem Analysis: Ability to identify, formulate and analyze complex engineering problems using basic knowledge of science, mathematics and engineering, and considering the UN Sustainable Development Goals relevant to the problem being addressed.

    3

    Engineering Design: The ability to devise creative solutions to complex engineering problems; the ability to design complex systems, processes, devices or products to meet current and future needs, considering realistic constraints and conditions.

    1

    Ability to design creative solutions to complex engineering problems

    2

    Ability to design complex systems, processes, devices or products to meet current and future needs, considering realistic constraints and conditions

    4

    Use of Techniques and Tools: Ability to select and use appropriate techniques, resources, and modern engineering and computing tools, including estimation and modeling, for the analysis and solution of complex engineering problems, while recognizing their limitations.

    5

    Research and Investigation: Ability to use research methods to investigate complex engineering problems, including literature research, designing and conducting experiments, collecting data, and analyzing and interpreting results.

    1

    Literature research for the study of complex engineering problems

    2

    Designing experiments

    3

    Ability to use research methods, including conducting experiments, collecting data. analyzing and interpreting results

    6

    Global Impact of Engineering Practices: Knowledge of the impacts of engineering practices on society, health and safety, economy, sustainability, and the environment, within the context of the UN Sustainable Development Goals; awareness of the legal implications of engineering solutions.

    1

    Knowledge of the impacts of engineering practices on society, health and safety, economy, sustainability, and the environment, within the context of the UN Sustainable Development Goals

    2

    Awareness of the legal implications of engineering solutions

    7

    Ethical Behavior: Acting in accordance with the principles of the engineering profession, knowledge about ethical responsibility; awareness of being impartial, without discrimination, and being inclusive of diversity.

    1

    Acting in accordance with the principles of the engineering profession, knowledge about ethical responsibility ethical responsibility

    2

    Awareness of being impartial and inclusive of diversity, without discriminating on any subject

    8

    Individual and Teamwork: Ability to work effectively, individually and as a team member or leader on interdisciplinary and multidisciplinary teams (face-to-face, remote or hybrid).

    1

    Ability to work individually and within the discipline

    2

    Ability to work effectively as a team member or leader in multidisciplinary teams (face-to-face, remote or hybrid)

    9

    Verbal and Written Communication: Taking into account the various differences of the target audience (such as education, language, profession) on technical issues.

    1

    Ability to communicate verbally

    2

    Ability to communicate effectively in writing

    10

    Project Management: Knowledge of business practices such as project management and economic feasibility analysis; awareness of entrepreneurship and innovation.

    1

    Knowledge of business practices such as project management and economic feasibility analysis

    2

    Awareness of entrepreneurship and innovation

    11

    Lifelong Learning: Lifelong learning skills that include being able to learn independently and continuously, adapting to new and developing technologies, and thinking questioningly about technological changes.

    *1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest


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