Ders Planı

CLASS 4

Lesson plan / PROBABILITY AND STATISTICS

Lesson Information

Course Credit	3.0
Course ECTS Credit	5.0
Teaching Language of Instruction	İngilizce
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
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Purpose and Content

The aim of the course	Modern managerial and social sciences make the use of statistics necessary for decision making in a dynamic and changing social and economic environment, and this makes variation as the key concept in today’s world. The course objective is to make an introduction to statistics by focusing on the descriptive part; give idealistic notion of probability; and later introducing the inferential statistics as forecasting and estimation tool. The second part of the course is devoted to inferential methods of finding similarities and differences amongst given data. The module content and program of the course is subject to amendment due to preliminary knowledge of attendees to the course
Course Content	Concepts of statistics; Frequency distributions & graphs of distributions; Location and dispersion measures; Probability and probability distribution types; Sampling distributions & confidence Intervals; Hypothesis testing; Similarity & difference analyses Non-parametric methods

The aim of the course

Modern managerial and social sciences make the use of statistics necessary for decision making in a dynamic and changing social and economic environment, and this makes variation as the key concept in today’s world. The course objective is to make an introduction to statistics by focusing on the descriptive part; give idealistic notion of probability; and later introducing the inferential statistics as forecasting and estimation tool. The second part of the course is devoted to inferential methods of finding similarities and differences amongst given data. The module content and program of the course is subject to amendment due to preliminary knowledge of attendees to the course

Course Content

Concepts of statistics; Frequency distributions & graphs of distributions; Location and dispersion measures; Probability and probability distribution types; Sampling distributions & confidence Intervals; Hypothesis testing; Similarity & difference analyses Non-parametric methods

Learning Outcomes

Adequate knowledge of mathematics, physical sciences and engineering of individual branches; Ability to apply theoretical and practical knowledge in relevant fields in modeling and solving engineering problems.
Ability to identify, define, formulate and solve complex engineering problems; Ability to select and apply appropriate analysis and modeling methods for this purpose.
The ability to design a complex system, process, device or product to meet specific requirements, under realistic constraints and conditions; Ability to apply modern design methods for this purpose
Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering practices; Ability to use information technologies effectively.
Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or discipline-specific research issues.
Ability to work effectively in intradisciplinary and multidisciplinary teams; individual work ability.
Awareness of the necessity of lifelong learning; The ability to access information, follow developments in science and technology and constantly renew oneself.
Acting in accordance with ethical principles, awareness of professional and ethical responsibility; Information about standards used in engineering applications
Designs a complex system, process, device or product to meet specific requirements under realistic restrictions and conditions; implements the modern design methods.
Information about the effects of engineering practices on health, environment and security at universal and social dimensions and the problems of the age reflected in the field of engineering; Awareness of the legal consequences of engineering solutions
Ability to communicate effectively verbally and in written Turkish; knowledge of at least one foreign language; Ability to write effective reports and understand written reports, prepare design and production reports, make effective presentations, give and receive clear and understandable instructions.
The ability to rally an organization around a vision and apply entrepreneurial and leadership skills.
Ability to use appropriate analytical, experimental and computational methods to ensure system integration; Ability to design, develop and improve these integrated systems that include people, materials, information, equipment and energy
Ability to follow innovations and scientific publications in the field of Industrial Engineering; Ability to develop new and creative solutions to meet customer needs and demands and capture market opportunities, taking into account Occupational Safety and worker health issues.

Weekly Course Subjects

1	Introduction of concepts
2	Concept of data, collecting data, Graphical presentations
3	Averages of data
4	Measures of dispersion
5	Coefficients of distributions
6	Introduction to probability
7	Further probability
8	General review
9	Discrete probability distributions
10	Continuous probability distributions
11	Hypothesis tests
12	Quality control
13	Chi-square distribution and its application
14	General Review

Resources

1-Statistics for Business and Economics, Paul Newbold, William Carlson, Betty Thorne; Prentice Hall, ISBN: 978

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Lesson Information

Purpose and Content

Learning Outcomes

Weekly Course Subjects

Resources

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