CEN125 Linear Algebra

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

Information

Code CEN125
Name Linear Algebra
Term 2022-2023 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 Dr. Öğr. Üyesi Doğa Can SERTBAŞ (A Group) (Ins. in Charge)


Course Goal / Objective

The aim of this course is to provide introduction to computer programming, to put forward the general concepts of programming, the concept of the algorithm and algorithm design, and introduction to structural programming

Course Content

Problem solving. Input-Operation-Output process. Analysis and design of algorithms. Definiteness, finiteness, effectiveness of algorithms. Algorithm Language. Contants, variables and expressions. Arithmetical, relational and logical operators. Input-Output statements. Conditional and iterative statements. Vector and matrix representations. String manipulations. Subroutines and Functions. Applications on a structural programming language

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 They have put new information on General Mathematics lessons.
LO02 To understand matrices, linear systems of equations, determinants, and vector spaces
LO03 To understand the methods of mathematical thinking
LO04 Effective oral and written communication skills must be won.
LO05 To learn of the application areas matrices and determinants.
LO06 To learn how to solve systems of linear equations.
LO07 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 Has capability in the fields of mathematics, science and computer that form the foundations of engineering 5
PLO02 Bilgi - Kuramsal, Olgusal Identifies, formulates, and solves engineering problems, selects and applies appropriate analytical methods and modeling techniques, 4
PLO03 Bilgi - Kuramsal, Olgusal Analyzes a system, its component, or process and designs under realistic constraints to meet the desired requirements,gains the ability to apply the methods of modern design accordingly. 4
PLO04 Bilgi - Kuramsal, Olgusal Ability to use modern techniques and tools necessary for engineering practice and information technologies effectively.
PLO05 Bilgi - Kuramsal, Olgusal Ability to design and to conduct experiments, to collect data, to analyze and to interpret results 3
PLO06 Bilgi - Kuramsal, Olgusal Has ability to work effectively as an individual and in multi-disciplinary teams, take sresponsibility and builds self-confidence
PLO07 Beceriler - Bilişsel, Uygulamalı Can access information,gains the ability to do resource research and uses information resources 4
PLO08 Beceriler - Bilişsel, Uygulamalı Awareness of the requirement of lifelong learning, to follow developments in science and technology and continuous self-renewal ability 4
PLO09 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Ability to communicate effectively orally and in writing, and to read and understand technical publications in at least one foreign language
PLO10 Yetkinlikler - Öğrenme Yetkinliği Professional and ethical responsibility, 5
PLO11 Yetkinlikler - Öğrenme Yetkinliği Awareness about project management, workplace practices, employee health, environmental and occupational safety, and the legal implications of engineering applications, 3
PLO12 Yetkinlikler - Öğrenme Yetkinliği Becomes aware of universal and social effects of engineering solutions and applications, entrepreneurship and innovation, and knowledge of contemporary issues 3


Week Plan

Week Topic Preparation Methods
1 Professional and ethical responsibility Reading the lecture notes Öğretim Yöntemleri:
Anlatım
2 Matrices, Matrix operations Reading the lecture notes Öğretim Yöntemleri:
Anlatım
3 Special Matrices Reading the lecture notes Öğretim Yöntemleri:
Anlatım
4 Elementary operations and applications Reading the lecture notes Öğretim Yöntemleri:
Anlatım
5 Determinants Reading the lecture notes Öğretim Yöntemleri:
Anlatım
6 Systems of linear equations and Solve systems of equations Reading the lecture notes Öğretim Yöntemleri:
Anlatım
7 Homogeneous systems of linear equations Reading the lecture notes Öğretim Yöntemleri:
Anlatım
8 Mid-Term Exam Reading the lecture notes Ölçme Yöntemleri:
Yazılı Sınav
9 Non-homogeneous systems of linear equations Reading the lecture notes Öğretim Yöntemleri:
Anlatım
10 Cramer Method Reading the lecture notes Öğretim Yöntemleri:
Anlatım
11 Gauss Elimination Method Reading the lecture notes Öğretim Yöntemleri:
Anlatım
12 Vector Spaces Reading the lecture notes Öğretim Yöntemleri:
Anlatım
13 Spanning Sets and Linear Independence Reading the lecture notes Öğretim Yöntemleri:
Anlatım
14 Basis and Dimension Reading the lecture notes Öğretim Yöntemleri:
Anlatım
15 Rank of a matrix, Nullspace, Column and row spaces 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: 17.11.2022 04:09