Ders Planı

ISTANBUL AYDIN UNIVERSITY

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CLASS 4

Lesson plan / NUMERICAL METHODS IN ENGINEERING

Lesson Information

Course Credit	3.0
Course ECTS Credit	5.0
Teaching Language of Instruction	Türkçe
Level of Course	Bachelor's Degree, TYYÇ: Level 6, EQF-LLL: Level 6, QF-EHEA: First Cycle
Type of Course	Faculty Elective
Mode of Delivery	Face-to-face
Does the course require compulsory or optional work experience?	F
Course Coordinator
Instructor (s)
Course Assistant

Purpose and Content

The aim of the course	To learn the numerical methods in problem solving of engineering subjects
Course Content	Properties of numerical methods and basic steps in numerical solutions. Errors and error sources. Finite differences method.

Learning Outcomes

Adequate knowledge in mathematics, physical sciences and the biomedical engineering subjects of individual branches; the ability to implement theoretical and practical knowledge in the respective areas to modeling and solving computer engineering problems.
Ability to identify, define, formulate and solve complex engineering problems in biomedical engineering; ability to select and implement the appropriate analysis and modeling methods in this respect.
Ability to use, choose and develop modern techniques and means required for analyzing and solving the complex problems in biomedical engineering applications; ability to use information technologies effectively.
Ability to design a complex system, process, device or product to meet specific requirements under realistic restrictions and conditions; ability to implement the modern design methods for this purpose.
Ability to design experiments for analysing biomedical engineering problems, to conduct experiments, to collect data, to analyse and interpret the results.
Ability to apply engineering principles and methods to medical problems, to develop creative solutions.
Ability to work effectively in interdisciplinary and multi-disciplinary teams and individual works.
Knowledge of applications in business life like project management, risk management and change management; awareness about entrepreneurship, innovativeness and sustainable development.
Ability to identify, define, formulate and solve complex engineering problems in biomedical engineering; ability to select and implement the appropriate analysis and modeling methods in this respect.
Ability to use, choose and develop modern techniques and means required for engineering applications; ability to use information technologies effectively.
Awareness of the necessity of lifelong learning; ability to reach information, follow the latest developments in science and technology; ability to ensure self-renewal perpetually.
Ability to follow developments in disciplines related to biomedical engineering; Ability to ensure self-renewal perpetually in the theoretical, practical and social areas.
Ability to communicate efficiently both in oral and written ways in Turkish; knowledge of at least one foreign language; ability to effectively prepare reports and understand written reports, prepare design and production reports, effective presentation, giving and receiving clear and understandable instructions.
Ability to use common scientific and social language in engineering and health care fields.
Behaving in accordance with ethical principles in the field of biomedical engineering, professional and ethical responsibility awareness;knowledge on the standards of engineering applications.
Information about the effects of engineering applications on health, environment and safety in terms of universal and social aspects and information about the problems of the era; awareness about the legal results of biomedical engineering solutions.
Ability to use common scientific and social language in engineering and health care fields.

Weekly Course Subjects

1	Properties of numerical methods and basic steps in numerical solution
2	Properties of numerical methods and basic steps in numerical solution
3	Example
4	Finite differences method. Solution of linear algebraic equations and matrices.
5	Finite differences method. Solution of linear algebraic equations and matrices.
6	Curve fitting. Method of least squares.
7	Curve fitting. Method of least squares.
8	Midterm exam
9	Examples.
10	Review problems.
11	Examples.
12	Numerical solutions of ordinary and partial differential equations.
13	Examples.
14	Numerical solutions of ordinary and partial differential equations.

Resources

1--The instructor's lecture notes.