MEC456 Makine Mühendisliğinde Bilgisayar UygulamalarıInstitutional InformationDegree Programs Mechanical Engineering (English)Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
Mechanical Engineering (English)

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Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course General Introduction Information

Course Code: MEC456
Course Name: Makine Mühendisliğinde Bilgisayar Uygulamaları
Course Semester: Spring
Course Credits:
ECTS
6
Language of instruction:
Course Requirement:
Does the Course Require Work Experience?: No
Type of course: Departmental Elective
Course Level:
Bachelor TR-NQF-HE:6. Master`s Degree QF-EHEA:First Cycle EQF-LLL:6. Master`s Degree
Mode of Delivery: Face to face
Course Coordinator : Öğr.Gör. CÜNEYT ERTAL
Course Lecturer(s):
Course Assistants:

Course Purpose and Content

Course Objectives: Ordinary differential equations, Euler's method, Taylor series methods, one-step, Runge-Kutta methods, multistep methods, error estimation and other special topics, classification of partial differential equations, finite difference method, stability, parabolic equations, open and closed methods, hyperbolic equations, elliptic equations, introduction to weighted residual methods, Galerkin, least squares methods, collocation, finite element method.
Course Content: Ordinary differential equations, Euler's method, Taylor series methods, one-step, Runge-Kutta methods, multistep methods, error estimation and other special topics, classification of partial differential equations, finite difference method, stability, parabolic equations, open and closed methods, hyperbolic equations, elliptic equations, introduction to weighted residual methods, Galerkin, least squares methods, collocation, finite element method.

Learning Outcomes

The students who have succeeded in this course;
1) Gains the ability to numerically model the basic equations used in the solution of frequently encountered problems in mechanical engineering.
2) Derive appropriate numerical algorithms for solving the modeled equations according to the physical and mathematical nature of the equations.
3) Apply numerical analysis methods for the solution of equations.

Course Flow Plan

Week Subject Related Preparation
1) Introduction and Basic Concepts, Definition and Importance of Numerical Analysis, Fundamental Principles of Differential Equations, Numerical Methods for Initial Value Problems, Euler Method, Improved Euler Method, Backward Euler Method, Runge-Kutta Methods, Second-Order Runge-Kutta Method, Discretization and Interpolation, High-Order Differential Equations and Solution Techniques, Boundary Value Problems.

Sources

Course Notes / Textbooks: "Numerical Methods for Engineers" by Steven C. Chapra and Raymond P. Canale
References: "Numerical Methods for Engineers" by Steven C. Chapra and Raymond P. Canale

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Medium 3 Highest
       
Program Outcomes Level of Contribution
1) Having advanced theoretical and practical knowledge supported by textbooks, application tools and other resources containing current information in the field. 3
2) Ability to use advanced theoretical and practical knowledge acquired in the field. 2
3) Ability to interpret and evaluate data, identify and analyze problems, and develop solution suggestions based on research and evidence, using the advanced knowledge and skills acquired in the field. 2
4) To be able to inform relevant people and institutions on issues related to the field; Ability to convey thoughts and solution suggestions to problems in written and oral form. 3
5) Ability to share one's thoughts on issues related to one's field and solutions to problems, supported by quantitative and qualitative data, with experts and non-experts. 1
6) Ability to organize and implement projects and events for the social environment in which one lives with awareness of social responsibility. 1
7) Ability to monitor knowledge in the field and communicate with colleagues by using a foreign language at least at the European Language Portfolio B1 General Level. 1
8) Ability to use information and communication technologies along with computer software at least at the Advanced Level of the European Computer Usage License required by the field. 1
9) Acting in accordance with social, scientific, cultural and ethical values during the collection, interpretation, application and announcement of the results of data related to the field. 2
10) Having sufficient awareness about the universality of social rights, social justice, quality culture and protection of cultural values, environmental protection, occupational health and safety. 1
11) Ability to evaluate the advanced knowledge and skills acquired in the field with a critical approach. 1
12) Ability to identify learning needs and direct learning 2
13) Being able to develop a positive attitude towards lifelong learning. 1
14) Ability to independently carry out an advanced study related to the field. 1
15) Ability to take responsibility individually and as a team member to solve unforeseen complex problems encountered in field-related applications. 2
16) Ability to plan and manage activities aimed at the development of the employees under his/her responsibility within the framework of a project. 2

Learning Activity and Teaching Methods

Anlatım
Course
Homework

Measurement and Evaluation Methods and Criteria

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

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Quizzes 5 % 20
Homework Assignments 4 % 20
Midterms 1 % 20
Final 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 Aktiviteye Hazırlık Aktivitede Harçanan Süre Aktivite Gereksinimi İçin Süre Workload
Course Hours 14 3 42
Study Hours Out of Class 14 3 42
Homework Assignments 14 3 42
Quizzes 5 3 15
Midterms 1 20 20
Final 1 20 20
Total Workload 181