MATH213 Numerical Methods for EngineersIstinye UniversityDegree Programs Mechanical Engineering (English)General 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 Introduction and Application Information

Course Code: MATH213
Course Name: Numerical Methods for Engineers
Semester: Fall
Course Credits:
ECTS
5
Language of instruction: English
Course Condition:
Does the Course Require Work Experience?: No
Type of course: Compulsory Courses
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: Prof. Dr. SELÇUK DEMİR
Course Lecturer(s): Assist. Prof. Dr. GÜRSAN ÇOBAN
Course Assistants:

Course Objective and Content

Course Objectives: The course aims to teach the students the implementation of numerical methods for computer-aided solutions to problems that arise in engineering design and analysis.
Course Content: Modeling, computers and error analysis, error accumulation, loss of precision, stability, condition number, roots of nonlinear equations, numerical solutions of linear equation systems (direct/iterative), interpolation (vandermonde, divided differences, spline), curve fitting (linear and nonlinear-regression), numerical derivative, numerical integration, numerical solutions of differential equations, overview of advanced topics in numerical analysis (additional topics)

Learning Outcomes

The students who have succeeded in this course;
1) They can perform computer coding of real numbers, function approximation (Taylor) and truncation, condition number analysis and error analysis in the basic computer environment.
2) They can solve the real roots of nonlinear functions or Linear Equation systems of equations in the form Ax=b with direct or iterative solution algorithms.
3) They can derive solver equations to calculate the unknowns of interpolation or statistical regression functions used to model a given data set.
4) They can calculate derivatives, integrals, and solution of first order differential equations numerically.
5) They can predict the convergence, stability, or order of error level of the method.

Course Flow Plan

Week Subject Related Preparation
1) Fundamentals, numbers, base concept, scientific notation, programming tools Chapra CH1, CH2 and Supplementary Slides
2) Modeling, computers and error analysis (cutting, rounding, Taylor series) Chapra CH3, CH4 and Supplementary Slides
3) Numerical solutions of nonlinear equations f(x)=0 Chapra CH5, CH6 and Supplementary Slides
4) Numerical approximations for solving systems of algebraic equations A*x=b Chapra CH9, CH10 and Supplementary Slides
5) Numerical approximations for solving systems of algebraic equations A*x=b T.Sauer CH2, CHAPRA CH11 and Supplementary
6) Interpolation and polynomial approximations 1 Supplementary Slides
7) Interpolation and polynomial approximations 2 Supplementary Slides
8) Midterm Exam
9) Curve fitting (Regression) Chapra CH17, Supplementary Slides
10) Numerical derivative Chapra CH23, Supplementary Slides
11) Numerical integration 1 Chapra CH21, Supplementary Slides
12) Numerical Integration 2 Chapra CH22, Supplementary Slides
13) Numerical solution of initial value problems Chapra CH25 and Supplementary Slides
14) Additional topics: Finite difference and boundary value problems, Computational approaches to eigenvalue and eigenvector problems of symmetric matrices Slides

Sources

Course Notes / Textbooks: Steven C. Chapra, Raymond P. Canale, Numerical Methods for Engineers, 7th Edition, McGraw-Hill.
References: Timothy Sauer, Numerical Analysis, 7th Edition, Pearson.

Jaan Kiusalaas, Numerical Methods in Engineering with Python 3, Cambridge Unv. Press. (For sample codes)

http://nm.mathforcollege.com/NumericalMethodsTextbookUnabridged/ (onlinesource, offline content)

Course - Program Learning Outcome Relationship

Course Learning Outcomes

1

2

3

4

5

Program Outcomes
1) Build up a body of knowledge in mathematics, science and Mechanical Engineering subjects; use theoretical and applied information in these areas to model and solve complex engineering problems. 3 2 2 2 3
2) Identify, formulate, and solve complex Mechanical Engineering problems; select and apply proper modeling and analysis methods for this purpose. 2 3 3 3 3
3) Design complex Mechanical systems, processes, devices or products under realistic constraints and conditions, in such a way as to meet the desired result; apply modern design methods for this purpose.
4) Devise, select, and use modern techniques and tools needed for solving complex problems in Mechanical Engineering practice; employ information technologies effectively.
5) Design and conduct numerical or pysical experiments, collect data, analyze and interpret results for investigating the complex problems specific to Mechanical Engineering.
6) Cooperate efficiently in intra-disciplinary and multi-disciplinary teams; and show self-reliance when working on Mechanical-related problems.
7) Ability to communicate effectively in English and Turkish (if he/she is a Turkish citizen), both orally and in writing. Write and understand reports, prepare design and production reports, deliver effective presentations, give and receive clear and understandable instructions.
8) Recognize the need for life-long learning; show ability to access information, to follow developments in science and technology, and to continuously educate oneself.
9) Develop an awareness of professional and ethical responsibility, and behave accordingly. Be informed about the standards used in Mechanical Engineering applications.
10) Learn about business life practices such as project management, risk management, and change management; develop an awareness of entrepreneurship, innovation, and sustainable development.
11) Acquire knowledge about the effects of practices of Mechanical Engineering on health, environment, security in universal and social scope, and the contemporary problems of Mechatronics engineering; is aware of the legal consequences of Mechanical engineering solutions.

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Average 3 Highest
       
Program Outcomes Level of Contribution
1) Build up a body of knowledge in mathematics, science and Mechanical Engineering subjects; use theoretical and applied information in these areas to model and solve complex engineering problems. 2
2) Identify, formulate, and solve complex Mechanical Engineering problems; select and apply proper modeling and analysis methods for this purpose. 3
3) Design complex Mechanical systems, processes, devices or products under realistic constraints and conditions, in such a way as to meet the desired result; apply modern design methods for this purpose.
4) Devise, select, and use modern techniques and tools needed for solving complex problems in Mechanical Engineering practice; employ information technologies effectively.
5) Design and conduct numerical or pysical experiments, collect data, analyze and interpret results for investigating the complex problems specific to Mechanical Engineering.
6) Cooperate efficiently in intra-disciplinary and multi-disciplinary teams; and show self-reliance when working on Mechanical-related problems.
7) Ability to communicate effectively in English and Turkish (if he/she is a Turkish citizen), both orally and in writing. Write and understand reports, prepare design and production reports, deliver effective presentations, give and receive clear and understandable instructions.
8) Recognize the need for life-long learning; show ability to access information, to follow developments in science and technology, and to continuously educate oneself.
9) Develop an awareness of professional and ethical responsibility, and behave accordingly. Be informed about the standards used in Mechanical Engineering applications.
10) Learn about business life practices such as project management, risk management, and change management; develop an awareness of entrepreneurship, innovation, and sustainable development.
11) Acquire knowledge about the effects of practices of Mechanical Engineering on health, environment, security in universal and social scope, and the contemporary problems of Mechatronics engineering; is aware of the legal consequences of Mechanical engineering solutions.

Assessment & Grading

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

Workload and ECTS Credit Calculation

Activities Number of Activities Workload
Course Hours 13 26
Application 13 26
Study Hours Out of Class 13 26
Midterms 2 15
Final 2 25
Total Workload 118