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MATH 227

Introduction to Linear Algebra

Linear algebra is the language for reasoning about systems of equations, vector spaces, and the linear maps between them — the framework that quietly underlies most of the math, physics, and engineering you'll meet later. You'll spend the semester moving from concrete row-reduction and determinant computations to the more abstract machinery of bases, rank, eigenvalues, and diagonalization, with two written exams testing whether you can actually carry out and reason about both. As a sophomore-level requirement, it sits between your calculus sequence and almost everything that follows — differential equations, numerical methods, ML, quantum mechanics — where thinking in vectors and matrices stops being optional.

Credit3ECTS5FacultyFaculty of ScienceBölümMathematicsPreMATH 106

Değerlendirme 85% — 2 adım

40%
45%
Midterm:Essay/written Midterm 40%
Final:Essay/written Final Exam 45%

Önerilen kaynaklar 4 kitap

📕
Zorunlu
Elementary Linear Algebra
Bernard Kolman
2014 / 9th edition · Prentice-Hall
📖
Önerilen
Elementary Linear Algebra
Howard Anton, Anton Rorres
2015 · 11th edition
📖
Önerilen
Introduction to Linear Algebra
Gilbert Strang
1993 · Wellesley-Cambridge Press
📖
Önerilen
Differential Equations and Linear Algebra
Stephen W. Goode
2000 · Prentice-Hall

Haftalık müfredat 14 hafta

Hafta 1
Systems of linear equations. Required textbook section 1.1.
Hafta 2
Gaussian and Gauss-Jordan elimination 1.2, Matrices 1.3.
Hafta 3
Elementary matrices, inversion of matrices by row operations, 1.4, 1.5. Existence and uniqueness of solutions 1.6, 1.7.
Hafta 4
Applications of Linear Systems, 1.8. Leontief Economic Models 1.9, 10.8.
Hafta 5
Determinants, their algebraic properties, their evaluation by row reduction and by cofactor expansion 2.1.
Hafta 6
Evaluation of determinants by row reduction, 2.2, 2.3.
Hafta 7
Real vector spaces, 4.1.
Hafta 8
Subspaces, spanning, linear independence, basis, dimension, 4.2, 4.3, 4.4.
Hafta 9
Change of basis, 4.6. Row and column spaces, rank and nullity, 4.6, 4.7.
Hafta 10
Linear transformations, 4.9. Eigenvalues and eigenvectors, 5.1.
Hafta 11
Diagonalization, 5.2.
Hafta 12
Inner product spaces, 6.1, 6.2.
Hafta 13
Gram-Schmidt process, 6.3.
Hafta 14
If time permits, Markov chains 4.12, 10.5. Review.

🤖 GenAI politikası

Usage of GenAi tools or other LLM tools are allowed in this course. However, students are expected to use such tools as learning boosters rather than copy-paste capabilities. Use of Ai tools in exams and quizes are not allowed. Blunt use of Ai tools in other credit bearing components of the course (HW, lab reports, projects, etc.) such as direct copy/paste, no significant contribution by the student to the Ai generated material or use of Ai material without paraphrasing are considered unethical

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Geçmiş GPA dağılımı 38 dönem · ort. 2.19

DönemCourse CPA
2025-2026 Fall 2.38 2 sec · 130 öğr
2024-2025 Fall 2.37 2 sec · 136 öğr
2024-2025 Spring 1.91 1 sec · 63 öğr
2023-2024 Fall 2.31 2 sec · 136 öğr
2023-2024 Spring 1.72 2 sec · 84 öğr
2022-2023 Fall 2.41 2 sec · 91 öğr
2022-2023 Spring 2.20 2 sec · 71 öğr
2021-2022 Fall 2.57 2 sec · 145 öğr
2021-2022 Spring 2.38 1 sec · 65 öğr
2020-2021 Fall 1.68 2 sec · 108 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.

⚠️ FZ engelleyen şartlar

If your midterm exam score is less than 25 (out of 100) you will receive an FZ grade.

Hocalar 2 bu dönem · 33 geçmiş

Bu dönem (2025-2026 Spring) · 2 section
Hamza Yeşilyurt, Muhammet Yasir Kızmaz
Geçmişte ders veren (33 kişi)
Bülent Ünal, Aleksander Degtyarev, Laurence John Barker, Müfit Sezer, Ergün Yalçın, Ahmet Muhtar Güloğlu, Yosum Kurtulmaz, Matthew Gelvin, Özay Oral, Ümit Özger, Murat Altunbulak, Ergün Yaraneri, Uğurhan Muğan, Mefharet Kocatepe, Natalya Zheltukhina +18 kişi daha