Ders Planı

CLASS 1

CLASS 2

CLASS 4

Lesson plan / STATISTICAL DATA ANALYSIS

Lesson Information

Course Credit	4.0
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	Compulsory
Mode of Delivery	Face-to-face
Does the course require compulsory or optional work experience?	Z
Course Coordinator
Instructor (s)
Course Assistant

Purpose and Content

The aim of the course	To enable the student acquire a basic level of understanding of statistics and data analysis
Course Content	Data acquisition and description, Measurement uncertainties, Basics of probability, Random variables, Normal distribution, Distribution of sample, Regression, Quality Control

Learning Outcomes

Sufficient knowledge in mathematics, science and related engineering disciplines; The theoretical and practical knowledge in these areas, the ability to use in complex engineering problems
Ability to identify, define, formulate and solve complex engineering problems; Selecting and implementing appropriate analysis and modeling methods for this purpose
Ability to develop, select and use modern techniques and tools for analyzing and solving complex problems in engineering applications ; The ability to use information technologies effectively
Ability to design experiments, conduct experiments, collect data, analyze and interpret results for observing complex engineering problems or discipline-specific research topics
The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; The ability to apply modern design methods for this purpose
Information on the effects of engineering applications on health, environment and safety in universal and social dimensions, and on the problems of the modern era reflected in the field of engineering; Awareness of the legal consequences of engineering solutions
Effective communication skills in Turkish verbal and written communication; At least one foreign language knowledge; Ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give clear and clear instructions
Conducting ethical principles, professional and ethical responsibility; Information about the standards used in engineering applications
The ability to work effectively in disciplinary and multidisciplinary teams; Individual work skill
Information on practices in business, such as project management, risk management and change management; Awareness about entrepreneurship, innovation; Information on sustainable development
Awareness of the necessity of life-long learning; Ability to access knowledge, follow developments in science and technology, and constant self-renewal skills
Physics knowledge based on mathematics and chemistry knowledge
Advanced mathematical knowledge, including multivariable mathematical and differential equations; Familiarity with statistics and linear algebra
The ability to work in both thermal and mechanical systems, including design and realization of such systems.
Ability to develop, select and use modern techniques and tools for analyzing and solving complex problems in engineering applications ; The ability to use information technologies effectively
Develop self professionalism by having adequate background for the related engineering area.
Awareness of the necessity of life-long learning; Ability to access knowledge, follow developments in science and technology, and constant self-renewal skills
Effective communication skills in Turkish verbal and written communication; At least one foreign language knowledge; Ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give clear and clear instructions
Conducting ethical principles, professional and ethical responsibility; Information about the standards used in engineering applications
Physics knowledge based on mathematics and chemistry knowledge
Advanced mathematical knowledge, including multivariable mathematical and differential equations; Familiarity with statistics and linear algebra
The ability to work in both thermal and mechanical systems, including design and realization of such systems.

Weekly Course Subjects

1	Introduction to statistics
2	Describing Data Sets
3	Sample mean, variance, and standard deviation
4	Measurement Uncertainties
5	Measurement of dimension, pressure, velocity and temperature
6	Basics of probability
7	Random variables and expectation
8	Midterm exam
9	Distribution of Sampling Statistics
10	Distribution of Sampling Statistics, Parameter Estimation
11	Regression
12	Regression (Continued)
13	Quality Control
14	Quality Control (Continued)

Resources

1-1- S.M. Ross, Olasılık ve İstatistiğe Giriş, 2012, 4. Basımdan Çeviri, Nobel
2- R.L. Ott ve M. Longnecker, An Introduction to Statistical Methods and Data Analysis, 6th ed. 2010, Brooks/Cole

CLASS 1

CLASS 2

CLASS 3

CLASS 4

Lesson Information

Purpose and Content

Learning Outcomes

Weekly Course Subjects

Resources

ABOUT IAU

COMMITTEE

PUBLICATIONS

MEDIA CENTER