MATH213 Numerical Methods for EngineersIstinye UniversityDegree Programs Electrical and Electronic Engineering (English)General Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
Electrical and Electronic 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: Dr. Öğr. Üy. GÜRSAN ÇOBAN
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) Adequate knowledge in mathematics, science and Electrical and Electronics engineering; the ability to use theoretical and practical knowledge in these areas in complex engineering problems. 3 2 2 2 3
2) Ability to identify, formulate, and solve complex electrical and electronics engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose. 2 3 3 3 3
3) Ability to design a complex circuit, device or system to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose.
4) Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in electrical and electronics engineering applications; ability to use information technologies effectively.
5) Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or electrical and electronics engineering research topics.
6) Ability to work effectively within and multidisciplinary teams; individual study skills.
7) Ability to communicate effectively orally and in writing; knowledge of at least one foreign language; ability to write effectice reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8) Awareness of the necessity of lifelong learning; ability to access information, to follow developments in science and technology and to renew continuously.
9) To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in electrical and electronics engineering applications.
10) Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development.
11) Knowledge of the effects of electrical and electronics engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in electrical and electronics engineering; awareness of the legal consequences of electrical and electronics engineering solutions.

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Average 3 Highest
       
Program Outcomes Level of Contribution
1) Adequate knowledge in mathematics, science and Electrical and Electronics engineering; the ability to use theoretical and practical knowledge in these areas in complex engineering problems. 2
2) Ability to identify, formulate, and solve complex electrical and electronics engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose. 3
3) Ability to design a complex circuit, device or system to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose.
4) Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in electrical and electronics engineering applications; ability to use information technologies effectively.
5) Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or electrical and electronics engineering research topics.
6) Ability to work effectively within and multidisciplinary teams; individual study skills.
7) Ability to communicate effectively orally and in writing; knowledge of at least one foreign language; ability to write effectice reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8) Awareness of the necessity of lifelong learning; ability to access information, to follow developments in science and technology and to renew continuously.
9) To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in electrical and electronics engineering applications.
10) Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development.
11) Knowledge of the effects of electrical and electronics engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in electrical and electronics engineering; awareness of the legal consequences of electrical and electronics 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