CEN125 Linear Algebra

5 ECTS - 3-1 Duration (T+A)- 1. Semester- 3.5 National Credit

Information

Unit FACULTY OF ENGINEERING
COMPUTER ENGINEERING PR. (ENGLISH)
Code CEN125
Name Linear Algebra
Term 2020-2021 Academic Year
Semester 1. Semester
Duration (T+A) 3-1 (T-A) (17 Week)
ECTS 5 ECTS
National Credit 3.5 National Credit
Teaching Language İngilizce
Level Lisans Dersi
Type Normal
Label C Compulsory
Mode of study Uzaktan Öğretim
Catalog Information Coordinator Prof. Dr. YILMAZ DURĞUN
Course Instructor Prof. Dr. YILMAZ DURĞUN (Güz) (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

Resources

Notes



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 Basis and Dimension


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 - Has capability in the fields of mathematics, science and computer that form the foundations of engineering 4
PLO02 - Identifies, formulates, and solves engineering problems, selects and applies appropriate analytical methods and modeling techniques, 3
PLO03 - 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. 3
PLO04 - Ability to use modern techniques and tools necessary for engineering practice and information technologies effectively. 3
PLO05 - Ability to design and to conduct experiments, to collect data, to analyze and to interpret results 1
PLO06 - Has ability to work effectively as an individual and in multi-disciplinary teams, take sresponsibility and builds self-confidence 2
PLO07 - Can access information,gains the ability to do resource research and uses information resources 2
PLO08 - Awareness of the requirement of lifelong learning, to follow developments in science and technology and continuous self-renewal ability 3
PLO09 - Ability to communicate effectively orally and in writing, and to read and understand technical publications in at least one foreign language 1
PLO10 - Professional and ethical responsibility, 1
PLO11 - Awareness about project management, workplace practices, employee health, environmental and occupational safety, and the legal implications of engineering applications, 2
PLO12 - 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 None
2 Matrices, Matrix operations Reading the lecture notes
3 Special Matrices Reading the lecture notes
4 Elementary operations and applications Reading the lecture notes
5 Determinants Reading the lecture notes
6 Systems of linear equations and Solve systems of equations Reading the lecture notes
7 Homogeneous systems of linear equations Reading the lecture notes
8 Mid-Term Exam Reading the lecture notes
9 Non-homogeneous systems of linear equations Reading the lecture notes
10 Cramer Method Reading the lecture notes
11 Gauss Elimination Method Reading the lecture notes
12 Vector Spaces Reading the lecture notes
13 Spanning Sets and Linear Independence Reading the lecture notes
14 Basis and Dimension Reading the lecture notes
15 Rank of a matrix, Nullspace, Column and row spaces Reading the lecture notes
16 Term Exams
17 Term Exams


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 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: 29.04.2025 12:46