CEN204 Numerical Analysis

6 ECTS - 3-0 Duration (T+A)- 4. Semester- 3 National Credit

Information

Code CEN204
Name Numerical Analysis
Term 2022-2023 Academic Year
Semester 4. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 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. ZEKERİYA TÜFEKCİ
Course Instructor Prof. Dr. ZEKERİYA TÜFEKCİ (A Group) (Ins. in Charge)


Course Goal / Objective

To introduce students to techniques for the numerical approximation of mathematical problems, and to the analysis of these techniques.

Course Content

Surveys and applications of numerical techniques related to matrix inversion, systems of linear equations and optimization, finite difference expressions, interpolation and approximation, numerical differentiation and integration.

Course Precondition

Yok

Resources

Numerical Analysis David Kincaid Ward Cheney

Notes



Course Learning Outcomes

Order Course Learning Outcomes
LO01 perform an error analysis for various numerical methods
LO02 Solve an algebraic equation using an appropriate numerical method.
LO03 Solve a linear system of equation using an appropriate numerical method.
LO04 Approximate a function using a numerical method.


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, 5
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. 3
PLO04 Bilgi - Kuramsal, Olgusal Ability to use modern techniques and tools necessary for engineering practice and information technologies effectively. 4
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 3
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 3
PLO10 Yetkinlikler - Öğrenme Yetkinliği Professional and ethical responsibility, 4
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 Computer arithmetic Reading Öğretim Yöntemleri:
Anlatım
2 Computer arithmetic Reading Öğretim Yöntemleri:
Anlatım
3 Solutions of nonlinear equations Reading Öğretim Yöntemleri:
Anlatım
4 Solutions of nonlinear equations Reading Öğretim Yöntemleri:
Anlatım
5 Solutions of nonlinear equations Reading Öğretim Yöntemleri:
Anlatım
6 Solutions of linear equations Reading Öğretim Yöntemleri:
Anlatım
7 Solutions of linear equations Reading Öğretim Yöntemleri:
Anlatım
8 Midterm exam Ölçme Yöntemleri:
Yazılı Sınav
9 Solutions of linear equations Reading Öğretim Yöntemleri:
Anlatım
10 Function approximations Reading Öğretim Yöntemleri:
Anlatım
11 Function approximations Reading Öğretim Yöntemleri:
Anlatım
12 Function approximations Reading Öğretim Yöntemleri:
Anlatım
13 Numerical differentiation and integration Reading Öğretim Yöntemleri:
Anlatım
14 Numerical differentiation and integration Reading Öğretim Yöntemleri:
Anlatım
15 Numerical differentiation and integration Reading Öğretim Yöntemleri:
Anlatım
16 Final Exam Ölçme Yöntemleri:
Yazılı Sınav
17 Final Exam Ölçme Yöntemleri:
Yazılı Sınav


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) 14 5 70
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 15 15
Final Exam 1 30 30
Total Workload (Hour) 157
Total Workload / 25 (h) 6,28
ECTS 6 ECTS

Update Time: 14.11.2022 10:33