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: E-Learning
Course Coordinator : Dr.Öğr.Üyesi Mete ÖĞÜÇ
Course Lecturer(s):

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
1) Students will understand the fundamental concepts, methods, and applications of computational engineering and develop appropriate numerical models for engineering problems.
2) Students will gain the ability to analyze and solve engineering problems using computational methods such as finite difference and finite element approaches.
3) Students will be able to conduct simulations using modern software tools in computational engineering applications and evaluate the results.
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

1

2

3
Program Outcomes
1) 1.1 Sufficient knowledge of subjects such as mathematics and science
2) 1.2 Ability to apply theoretical and applied knowledge in mathematics, science and computer engineering for modeling and solving engineering problems.
3) 1.3 Ability to use theoretical and applied knowledge in fields such as mathematics and science in complex engineering problems.
4) 2.1 Ability to identify, define, formulate and solve complex engineering problems
5) 2.2 Ability to select and apply appropriate analysis and modeling methods for this purpose
6) 3.1 Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions
7) 3.2 Ability to apply modern design methods for this purpose
8) 4.1 Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications.
9) 4.2 Ability to use information technologies effectively
10) 5.1 Ability to design experiments to examine complex engineering problems or discipline-specific research issues
11) 5.2 Ability to conduct experiments to examine complex engineering problems or discipline-specific research topics
12) 5.3 Ability to collect data to examine complex engineering problems or discipline-specific research topics
13) 5.4 Ability to analyze and interpret experimental results for the study of complex engineering problems or discipline-specific research issues
14) 6.1 Ability to work individually within the discipline
15) 6.2 Ability to work effectively in interdisciplinary teams
16) 6.3 Ability to work effectively in multidisciplinary teams
17) 7.1 Ability to communicate effectively and make presentations both verbally and in Turkish
18) 7.2 Knowledge of at least one foreign language
19) 7.3 Ability to write effective reports and understand written reports
20) 7.4 Ability to prepare design and production reports
21) 7.5 Ability to give and receive clear and understandable instructions
22) 8.1 Awareness of the necessity of lifelong learning
23) 8.2 The ability to access information, follow developments in science and technology and constantly renew oneself
24) 9.1 Acting in accordance with ethical principles, awareness of professional and ethical responsibility
25) 9.2 Information about standards used in engineering applications
26) 10.1 Knowledge of business practices such as project management, risk management and change management
27) 10.2 Awareness about entrepreneurship, innovation
28) 10.3 Information about sustainable development
29) 11.1 Information about the effects of engineering practices on health, environment and security at universal and social dimensions and the problems of the age reflected in the field of engineering
30) 11.2 Awareness of the legal consequences of engineering solutions
31) 12.1 Having knowledge about discrete mathematics

Ders - Öğrenme Kazanımı İlişkisi

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) 1.1 Sufficient knowledge of subjects such as mathematics and science
2) 1.2 Ability to apply theoretical and applied knowledge in mathematics, science and computer engineering for modeling and solving engineering problems.
3) 1.3 Ability to use theoretical and applied knowledge in fields such as mathematics and science in complex engineering problems.
4) 2.1 Ability to identify, define, formulate and solve complex engineering problems
5) 2.2 Ability to select and apply appropriate analysis and modeling methods for this purpose
6) 3.1 Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions
7) 3.2 Ability to apply modern design methods for this purpose
8) 4.1 Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications.
9) 4.2 Ability to use information technologies effectively 4
10) 5.1 Ability to design experiments to examine complex engineering problems or discipline-specific research issues
11) 5.2 Ability to conduct experiments to examine complex engineering problems or discipline-specific research topics
12) 5.3 Ability to collect data to examine complex engineering problems or discipline-specific research topics 4
13) 5.4 Ability to analyze and interpret experimental results for the study of complex engineering problems or discipline-specific research issues
14) 6.1 Ability to work individually within the discipline
15) 6.2 Ability to work effectively in interdisciplinary teams
16) 6.3 Ability to work effectively in multidisciplinary teams
17) 7.1 Ability to communicate effectively and make presentations both verbally and in Turkish
18) 7.2 Knowledge of at least one foreign language
19) 7.3 Ability to write effective reports and understand written reports
20) 7.4 Ability to prepare design and production reports
21) 7.5 Ability to give and receive clear and understandable instructions
22) 8.1 Awareness of the necessity of lifelong learning
23) 8.2 The ability to access information, follow developments in science and technology and constantly renew oneself
24) 9.1 Acting in accordance with ethical principles, awareness of professional and ethical responsibility
25) 9.2 Information about standards used in engineering applications
26) 10.1 Knowledge of business practices such as project management, risk management and change management
27) 10.2 Awareness about entrepreneurship, innovation
28) 10.3 Information about sustainable development
29) 11.1 Information about the effects of engineering practices on health, environment and security at universal and social dimensions and the problems of the age reflected in the field of engineering
30) 11.2 Awareness of the legal consequences of engineering solutions
31) 12.1 Having knowledge about discrete mathematics

Öğrenme Etkinliği ve Öğretme Yöntemleri

Bireysel çalışma ve ödevi
Course
Okuma
Homework
Problem Çözme
Rapor Yazma

Ölçme ve Değerlendirme Yöntemleri ve Kriterleri

Yazılı Sınav (Açık uçlu sorular, çoktan seçmeli, doğru yanlış, eşleştirme, boşluk doldurma, sıralama)
Homework

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Homework Assignments 3 % 30
Midterms 1 % 30
Semester Final Exam 1 % 40
total % 100
PERCENTAGE OF SEMESTER WORK % 60
PERCENTAGE OF FINAL WORK % 40
total % 100

İş Yükü ve AKTS Kredisi Hesaplaması

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 2 28
Study Hours Out of Class 12 5 60
Homework Assignments 3 6 18
Midterms 1 2 2
Final 1 30 30
Total Workload 138