CEN125 Linear Algebra

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

Information

Code CEN125
Name Linear Algebra
Term 2024-2025 Academic Year
Semester 1. Semester
Duration (T+A) 3-1 (T-A) (17 Week)
ECTS 5 ECTS
National Credit 3 National Credit
Teaching Language İngilizce
Level Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. YILMAZ DURĞUN
Course Instructor Sibel DOĞRU AKGÖL (A Group) (Ins. in Charge)


Course Goal / Objective

The aim of this course is to enrich the knowledge of engineering students about linear algebra and to teach the fundamentals and applications of solution methods for systems of linear equations that arise in solving engineering problems.

Course Content

Linear equations and matrices, determinants, vector spaces, inner product spaces, linear transformations, eigenvalues ​​and eigenvectors.

Course Precondition

None

Resources

Elementary Linear Algebra 8th Edition by Ron Larson

Notes

Elementary Linear Algebra: Applications Version 2019,Howard Anton , Chris Rorres, Anton Kaul


Course Learning Outcomes

Order Course Learning Outcomes
LO01 To understand matrices, linear systems of equations, determinants, and vector spaces
LO02 To learn of the application areas matrices and determinants.
LO03 To learn how to solve systems of linear equations.
LO04 Learns the mathematical and physical meaning of base and dimension concepts.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Adequate knowledge of mathematics, science and related engineering disciplines; ability to use theoretical and applied knowledge in these fields in solving complex engineering problems. 5
PLO02 Bilgi - Kuramsal, Olgusal Ability to identify, formulate and solve complex engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose. 4
PLO03 Bilgi - Kuramsal, Olgusal Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose.
PLO04 Bilgi - Kuramsal, Olgusal Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering practice; ability to use information technologies effectively.
PLO05 Bilgi - Kuramsal, Olgusal Ability to design and conduct experiments, collect data, analyze and interpret results to investigate complex engineering problems or discipline-specific research topics.
PLO06 Bilgi - Kuramsal, Olgusal Ability to work effectively in interdisciplinary and multidisciplinary teams; individual working skills.
PLO07 Bilgi - Kuramsal, Olgusal Ability to communicate effectively verbally and in writing; knowledge of at least one foreign language; ability to write effective reports and understand written reports, prepare design and production reports, make effective presentations, and give and receive clear and understandable instructions.
PLO08 Bilgi - Kuramsal, Olgusal Awareness of the necessity of lifelong learning; ability to access information, follow developments in science and technology, and constantly renew oneself.
PLO09 Bilgi - Kuramsal, Olgusal Knowledge of ethical principles, professional and ethical responsibility, and standards used in engineering practice.
PLO10 Bilgi - Kuramsal, Olgusal Knowledge of business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; knowledge of sustainable development.
PLO11 Bilgi - Kuramsal, Olgusal Knowledge of the effects of engineering practices on health, environment and safety in universal and social dimensions and the problems of the age reflected in the field of engineering; awareness of the legal consequences of engineering solutions.


Week Plan

Week Topic Preparation Methods
1 Systems of Linear Equations, Matrices Reading the lecture notes Öğretim Yöntemleri:
Anlatım
2 Matrix operations Reading the lecture notes Öğretim Yöntemleri:
Anlatım
3 Special Matrices Reading the lecture notes Öğretim Yöntemleri:
Anlatım
4 Elementary row and column operations and applications Reading the lecture notes Öğretim Yöntemleri:
Anlatım
5 Gauss Elimination Method Reading the lecture notes Öğretim Yöntemleri:
Anlatım
6 Determinants and Cofactor Expansion Reading the lecture notes Öğretim Yöntemleri:
Anlatım
7 Cramer's Rule Reading the lecture notes Öğretim Yöntemleri:
Anlatım
8 Mid-Term Exam Reading the lecture notes Ölçme Yöntemleri:
Yazılı Sınav
9 Vector Spaces Reading the lecture notes Öğretim Yöntemleri:
Anlatım
10 Spanning Sets and Linear Independence Reading the lecture notes Öğretim Yöntemleri:
Anlatım
11 Basis and Dimension Reading the lecture notes Öğretim Yöntemleri:
Anlatım
12 Homogeneous Systems and Isomorphisms Reading the lecture notes Öğretim Yöntemleri:
Anlatım
13 Rank of a matrix, Nullspace, Column and row spaces Reading the lecture notes Öğretim Yöntemleri:
Anlatım
14 Inner Product Spaces, Gram Schmidt Process Reading the lecture notes Öğretim Yöntemleri:
Anlatım
15 Eigenvalues and Eigenvectors, Diagonalization Reading the lecture notes Öğretim Yöntemleri:
Anlatım
16 Term Exams Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 4 56
Out of Class Study (Preliminary Work, Practice) 14 3 42
Assesment Related Works
Homeworks, Projects, Others 1 1 1
Mid-term Exams (Written, Oral, etc.) 1 8 8
Final Exam 1 16 16
Total Workload (Hour) 123
Total Workload / 25 (h) 4,92
ECTS 5 ECTS

Update Time: 26.11.2024 03:11