INMZ109 Linear Algebra

5 ECTS - 3-0 Duration (T+A)- 1. Semester- 3 National Credit

Information

Unit FACULTY OF ENGINEERING
CIVIL ENGINEERING PR.
Code INMZ109
Name Linear Algebra
Term 2025-2026 Academic Year
Semester 1. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 5 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Belirsiz
Type Normal
Label C Compulsory
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. HÜSEYİN RIZKULLAH YERLİ
Course Instructor Arş.Gör. Dr. Ahmet AKKAYA (Güz) (A Group) (Ins. in Charge)


Course Goal / Objective

The aim of this lesson is to transfer Linear Algebra knowledge to Civil Engineering students and to provide them with the ability to solve Linear Algebra problems.

Course Content

In this lesson matrices, determinants, systems of linear equations, eigenvalue problems and vectors are taught.

Course Precondition

None

Resources

Linear Algebra Lecture Note, Prof. Dr. Hüseyin R. Yerli.

Notes

Analitik Geometri, Rüstem Kaya, Platform Yayıncılık, 1. Basım, 2020.


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Explains the types of matrices and their properties
LO02 Solves determinant problems
LO03 Solves linear equation systems
LO04 Solves eigenvalue problems
LO05 Explains vector operations and their properties


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal “Sufficient knowledge in mathematics, science, and discipline-specific topics in Civil Engineering; the ability to use theoretical and applied knowledge in these fields to solve complex engineering problems.” 5
PLO02 Bilgi - Kuramsal, Olgusal “The ability to identify, formulate, and solve complex Civil Engineering problems; and the ability to select and apply appropriate analysis and modeling methods for this purpose.”
PLO03 Bilgi - Kuramsal, Olgusal “The ability to design a complex system, process, device, or product to meet specified requirements under realistic constraints and conditions; and the ability to apply modern design methods for this purpose.” 3
PLO04 Bilgi - Kuramsal, Olgusal “The ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in Civil Engineering applications; and the ability to use information technologies effectively.”
PLO05 Bilgi - Kuramsal, Olgusal “The ability to design experiments, conduct experiments, collect data, and analyze and interpret results for the investigation of complex Civil Engineering problems or discipline-specific research topics.”
PLO06 Bilgi - Kuramsal, Olgusal “The ability to work effectively in intra-disciplinary and multidisciplinary teams; and the ability to work independently.”
PLO07 Bilgi - Kuramsal, Olgusal “The ability to communicate effectively in both oral and written form; proficiency in at least one foreign language; the ability to write effective reports and understand written reports, prepare design and production reports, deliver effective presentations, and give and receive clear and understandable instructions.” 3
PLO08 Bilgi - Kuramsal, Olgusal “Awareness of the necessity of lifelong learning; the ability to access information, follow developments in science and technology, and continuously improve oneself.”
PLO09 Bilgi - Kuramsal, Olgusal “Acting in accordance with ethical principles, having professional and ethical responsibility, and having knowledge of the standards used in engineering practices.”
PLO10 Bilgi - Kuramsal, Olgusal “Knowledge of business-life practices such as project management, risk management, and change management; awareness of entrepreneurship and innovation; and knowledge about sustainable development.”
PLO11 Bilgi - Kuramsal, Olgusal “Knowledge of the universal and social impacts of Civil Engineering practices on health, environment, and safety, as well as the contemporary issues reflected in the field of engineering; and awareness of the legal consequences of engineering solutions.”


Week Plan

Week Topic Preparation Methods
1 Matrices Lecture notes and books etc. Öğretim Yöntemleri:
Anlatım, Soru-Cevap
2 Properties of Matrices Repeat the previous lesson Öğretim Yöntemleri:
Anlatım, Soru-Cevap
3 Operations on Matrices Repeat the previous lesson Öğretim Yöntemleri:
Anlatım, Soru-Cevap
4 Determinants Repeat the previous lesson Öğretim Yöntemleri:
Soru-Cevap, Anlatım
5 Rank of a matrix and its inverse Repeat the previous lesson Öğretim Yöntemleri:
Anlatım, Soru-Cevap
6 Properties of Determinant Repeat the previous lesson Öğretim Yöntemleri:
Anlatım, Soru-Cevap
7 Examples Repeat the previous lesson Öğretim Yöntemleri:
Anlatım, Soru-Cevap
8 Mid-Term Exam Repeat the previous lesson Ölçme Yöntemleri:
Yazılı Sınav
9 Systems of Linear Equations Repeat the previous lesson Öğretim Yöntemleri:
Anlatım, Soru-Cevap
10 Solving Systems of Linear Equations Repeat the previous lesson Öğretim Yöntemleri:
Anlatım, Soru-Cevap
11 Cramer's Rule and Gauss Elimination Method Repeat the previous lesson Öğretim Yöntemleri:
Anlatım, Soru-Cevap
12 Eigenvalue problems Repeat the previous lesson Öğretim Yöntemleri:
Anlatım, Soru-Cevap
13 Eigenvalue Problems 2 Repeat the previous lesson Öğretim Yöntemleri:
Anlatım, Soru-Cevap
14 Vectors Repeat the previous lesson Öğretim Yöntemleri:
Anlatım, Soru-Cevap
15 Examples Related to Vectors Repeat the previous lesson Öğretim Yöntemleri:
Anlatım, Soru-Cevap
16 Term Exams Repeat the previous lesson Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Repeat the previous lesson Ölçme Yöntemleri:
Yazılı Sınav


Assessment (Exam) Methods and Criteria

Assessment Type Midterm / Year Impact End of Term / End of Year Impact
1. Midterm Exam 100 40
General Assessment
Midterm / Year Total 100 40
1. Final Exam - 60
Grand Total - 100


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 13 4 52
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 12 12
Final Exam 1 16 16
Total Workload (Hour) 122
Total Workload / 25 (h) 4,88
ECTS 5 ECTS

Update Time: 28.05.2025 02:53