Ders Planı

ISTANBUL AYDIN UNIVERSITY

CLASS 1

CLASS 2

CLASS 4

Lesson plan /

Lesson Information

Course Credit
Course ECTS Credit
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
Mode of Delivery	Face-to-face
Does the course require compulsory or optional work experience?
Course Coordinator	Assoc. Prof. (Ph.D.) FİLİZ KANBAY
Instructor (s)
Course Assistant

Purpose and Content

The aim of the course	To gain a strong statistical background. To collect, organize and evaluate data obtained experimentally or observationally, to internalize the strong relationship between mathematics, engineering and social sciences.
Course Content	Random experiment, Sample space event, Probability function, Probability calculations, Conditional probability, random variable, functions of random variables,

Learning Outcomes

PO1. Adequate knowledge of mathematics, science and engineering subjects related to Food Engineering; Ability to apply theoretical and applied knowledge in these fields to model and solve complex engineering problems.
PO2. Ability to identify, define, formulate and solve complex engineering problems; Ability to select and apply appropriate analysis and modeling methods for this purpose.
PO3. 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.
PO4. Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications; Ability to use information technologies effectively.
PO5. Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or discipline-specific research issues.
PO6. Ability to work effectively in intradisciplinary and multidisciplinary teams; individual work ability.
PO7. 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.
PO8. Awareness of the necessity of lifelong learning; The ability to access information, follow developments in science and technology and constantly renew oneself.
PO9. Acting in accordance with ethical principles, awareness of professional and ethical responsibility; Information about the standards used in Food Engineering applications.
PO10. Knowledge of project management and business practices such as risk management and change management; awareness about entrepreneurship and innovation; Information about sustainable development.
PO11. Information about the effects of engineering applications on health, environment and security at universal and social dimensions and the problems of the age; Awareness of the legal consequences of engineering solutions.

Weekly Course Subjects

1	Sample space
2	Probability axioms
3	Basic combinatorics probability
4	Probability applications
5	Conditional probability
6	Conditional probability applications
7	Bayes Theorem, Dependence Independence
8	Midterm
9	Random variables
10	Functions and applications of random variables
11	Random variable pair
12	Expected value
13	Expected Value applications
14	Calculations with the help of computer (SPSS software)

Resources

1-Bener A., Matematiksel İstatistik Cilt I(Olasılıklar Hesabı), YTÜ vakfı,2002.

EUA Kurumsal Öz değerlendirme Programı İzleme Raporu