COMPUTER ENGINEERING
Qualification Awarded Program Süresi Toplam Kredi (AKTS) Öğretim Şekli Yeterliliğin Düzeyi ve Öğrenme Alanı
4 240 FULL TIME TYÇ, TR-NQF-HE, EQF-LLL, ISCED (2011):Level 6
QF-EHEA:First Cycle
TR-NQF-HE, ISCED (1997-2013): 48,52

Ders Genel Tanıtım Bilgileri

Course Code: 1410002038
Ders İsmi: Introduction to Computational Engineering
Ders Yarıyılı: Fall
Spring
Ders Kredileri:
Theoretical Practical Labs Credit ECTS
3 0 0 3 5
Language of instruction: TR
Ders Koşulu:
Ders İş Deneyimini Gerektiriyor mu?: No
Other Recommended Topics for the Course: None
Type of course: Bölüm Seçmeli
Course Level:
Bachelor TR-NQF-HE:6. Master`s Degree QF-EHEA:First Cycle EQF-LLL:6. Master`s Degree
Mode of Delivery:
Course Coordinator : Dr.Öğr.Üyesi Mete ÖĞÜÇ
Course Lecturer(s): Dr.Öğr.Üyesi Mete ÖĞÜÇ
Course Assistants:

Dersin Amaç ve İçeriği

Course Objectives: The purpose of this course is to introduce and teach students the basic concepts, methods and applications of computational engineering. At the end of the course, students will have the skills to identify problems encountered in different areas of computational engineering, develop appropriate models and algorithms, analyze and report the results.
Course Content: Simulation and numerical methods: concept of simulation, system performance metrics, simulation languages ​​and software, error types, roots of equations, linear algebraic equations, curve fitting, integral and derivative, ordinary differential equations.

Computational engineering applications: Topics such as geometric modeling concept, software tools, finite difference method, finite element method, computational fluid dynamics are covered.

Engineering problems and machine learning: theory and practice, methods and algorithms.

Learning Outcomes

The students who have succeeded in this course;
Learning Outcomes
1 - Knowledge
Theoretical - Conceptual
2 - Skills
Cognitive - Practical
3 - Competences
Communication and Social Competence
Learning Competence
Field Specific Competence
Competence to Work Independently and Take Responsibility

Ders Akış Planı

Week Subject Related Preparation
1) Introduction: definitions, simulation, system, model, simulation types, advantages and disadvantages of simulation, areas of use A.O. Kuşakçı, B.Ayvaz, O. Borat, Mühendisler için Sistem Benzetimi, Nobel Akademik Yayıncılık, 2012
2) System performance metrics, system types, simulation models A.O. Kuşakçı, B.Ayvaz, O. Borat, Mühendisler için Sistem Benzetimi, Nobel Akademik Yayıncılık, 2012; S.C. Chapra, R.P. Canale, Yazılım ve Programlama Uygulamalarıyla Mühendisler için Sayısal Yöntemler, Literatür Yayıncılık, 2013.
3) Simulation languages, simulation software, simulation approaches, features sought in simulation software A.O. Kuşakçı, B.Ayvaz, O. Borat, Mühendisler için Sistem Benzetimi, Nobel Akademik Yayıncılık, 2012; S.C. Chapra, R.P. Canale, Yazılım ve Programlama Uygulamalarıyla Mühendisler için Sayısal Yöntemler, Literatür Yayıncılık, 2013
4) Error: prediction, rounding, truncation A.O. Kuşakçı, B.Ayvaz, O. Borat, Mühendisler için Sistem Benzetimi, Nobel Akademik Yayıncılık, 2012; S.C. Chapra, R.P. Canale, Yazılım ve Programlama Uygulamalarıyla Mühendisler için Sayısal Yöntemler, Literatür Yayıncılık, 2013
5) Numerical applications: roots of equations, linear algebraic equations, curve fitting S.C. Chapra, R.P. Canale, Yazılım ve Programlama Uygulamalarıyla Mühendisler için Sayısal Yöntemler, Literatür Yayıncılık, 2013
6) Numerical applications: integral and derivative S.C. Chapra, R.P. Canale, Yazılım ve Programlama Uygulamalarıyla Mühendisler için Sayısal Yöntemler, Literatür Yayıncılık, 2013
7) Numerical applications: ordinary differential equations S.C. Chapra, R.P. Canale, Yazılım ve Programlama Uygulamalarıyla Mühendisler için Sayısal Yöntemler, Literatür Yayıncılık, 2013
8) Midterm Exam
9) Numerical applications: partial differential equations S.C. Chapra, R.P. Canale, Yazılım ve Programlama Uygulamalarıyla Mühendisler için Sayısal Yöntemler, Literatür Yayıncılık, 2013.
10) Virtual environments and open source software in numerical modeling S.C. Chapra, R.P. Canale, Yazılım ve Programlama Uygulamalarıyla Mühendisler için Sayısal Yöntemler, Literatür Yayıncılık, 2013
11) Finite difference method S.C. Chapra, R.P. Canale, Yazılım ve Programlama Uygulamalarıyla Mühendisler için Sayısal Yöntemler, Literatür Yayıncılık, 2013
12) Geometry modeling with open source software GEUZAINE, Christophe; REMACLE, Jean‐François. Gmsh: A 3‐D finite element mesh generator with built‐in pre‐and post‐processing facilities. International journal for numerical methods in engineering, 2009, 79.11: 1309-1331.
13) Finite element method S.C. Chapra, R.P. Canale, Yazılım ve Programlama Uygulamalarıyla Mühendisler için Sayısal Yöntemler, Literatür Yayıncılık, 2013; M. Güler, Ş.E.N. Sadri, “Sonlu elemanlar yöntemi hakkında genel bilgiler”, Ordu Üniversitesi Bilim ve Teknoloji Dergisi, Cilt 5, Sayı 1, 2015
14) Computational fluid dynamics S.C. Chapra, R.P. Canale, Yazılım ve Programlama Uygulamalarıyla Mühendisler için Sayısal Yöntemler, Literatür Yayıncılık, 2013; N. Tokgöz, Ö. Süfer, “Hesaplamalı akışkanlar dinamiğine genel bir bakış”, Osmaniye Korkut Ata Üniversitesi, Cilt 6, Sayı 3, 2023
15) Machine learning in theory and practice S. Savaş, S. Buyrukoğlu, Teori ve Uygulamada Makine Öğrenmesi, Nobel Akademik Yayıncılık, 2023
16) Final exam

Sources

Course Notes / Textbooks: S.C. Chapra, R.P. Canale, Yazılım ve Programlama Uygulamalarıyla Mühendisler için Sayısal Yöntemler, Literatür Yayıncılık, 2013; A.O. Kuşakçı, B.Ayvaz, O. Borat, Mühendisler için Sistem Benzetimi, Nobel Akademik Yayıncılık, 2012; S. Savaş, S. Buyrukoğlu, Teori ve Uygulamada Makine Öğrenmesi, Nobel Akademik Yayıncılık, 2023;
References: D. Yazıcıoğlu, “Bilgisayar teknolojilerinin günümüz tasarım anlayışına olan etkileri”, Sanat-Tasarım Dergisi, Cilt 1, Sayı 2, 2014; M. Güler, Ş.E.N. Sadri, “Sonlu elemanlar yöntemi hakkında genel bilgiler”, Ordu Üniversitesi Bilim ve Teknoloji Dergisi, Cilt 5, Sayı 1, 2015; N. Tokgöz, Ö. Süfer, “Hesaplamalı akışkanlar dinamiğine genel bir bakış”, Osmaniye Korkut Ata Üniversitesi, Cilt 6, Sayı 3, 2023.

Ders - Program Öğrenme Kazanım İlişkisi

Ders Öğrenme Kazanımları
Program Outcomes
1) PO 1.1) Sufficient knowledge in mathematics, science and computer engineering
2) PO 1.2) Ability to apply theoretical and applied knowledge in mathematics, science and computer engineering for modeling and solving engineering problems.
3) PO 2.1) Identifying complex engineering problems
4) PO 2.2) Defining complex engineering problems
5) PO 2.3) Formulating complex engineering problems
6) PO 2.4) Ability to solve complex engineering problems
7) PO 2.5) Ability to choose and apply appropriate analysis and modeling methods
8) PO 3.1) Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions.
9) PO 3.2) Ability to apply modern design methods under realistic constraints and conditions for a complex system, process, device or product
10) PO 4.1) Developing modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications
11) PO 4.2) Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications
12) PO 4.3) Ability to use information technologies effectively.
13) PO 5.1) Examination of complex engineering problems or discipline-specific research topics, designing experiments
14) PO 5.2) Examination of complex engineering problems or discipline-specific research topics, experimentation
15) PO 5.3 ) Analysis of complex engineering problems or discipline-specific research topics, data collection
16) PO 5.4) Analyzing the results of complex engineering problems or discipline-specific research topics
17) PO 5.5) Examining and interpreting complex engineering problems or discipline-specific research topics

Ders - Öğrenme Kazanımı İlişkisi

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) PO 1.1) Sufficient knowledge in mathematics, science and computer engineering
2) PO 1.2) Ability to apply theoretical and applied knowledge in mathematics, science and computer engineering for modeling and solving engineering problems.
3) PO 2.1) Identifying complex engineering problems
4) PO 2.2) Defining complex engineering problems
5) PO 2.3) Formulating complex engineering problems
6) PO 2.4) Ability to solve complex engineering problems
7) PO 2.5) Ability to choose and apply appropriate analysis and modeling methods
8) PO 3.1) Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions.
9) PO 3.2) Ability to apply modern design methods under realistic constraints and conditions for a complex system, process, device or product 4
10) PO 4.1) Developing modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications
11) PO 4.2) Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications
12) PO 4.3) Ability to use information technologies effectively.
13) PO 5.1) Examination of complex engineering problems or discipline-specific research topics, designing experiments
14) PO 5.2) Examination of complex engineering problems or discipline-specific research topics, experimentation
15) PO 5.3 ) Analysis of complex engineering problems or discipline-specific research topics, data collection
16) PO 5.4) Analyzing the results of complex engineering problems or discipline-specific research topics
17) PO 5.5) Examining and interpreting complex engineering problems or discipline-specific research topics

Öğrenme Etkinliği ve Öğretme Yöntemleri

Ölçme ve Değerlendirme Yöntemleri ve Kriterleri

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
total %
PERCENTAGE OF SEMESTER WORK % 0
PERCENTAGE OF FINAL WORK %
total %