PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
GMU 511	STATISTICAL METHODS IN ENGINEERING	3 + 0	1st Semester	6

COURSE DESCRIPTION

Course Level	Master's Degree
Course Type	Elective
Course Objective	Within the scope of this course, our aim is to teach ability to students relating statistical data collection, analysis and interpretation
Course Content	Use of basic statistical techniques, distributions (normal distribution, t distribution, F distribution and X2 distribution), simple comparisions, multiple comparisions - analysis of variance (ANOVA), mean separation techniques (Duncan's Multiple Range Test, LSD, Tukey test), introduction to experimental design, completely randomized designs, randomized block designs, simple and multiple regression analysis and their applications in food science and technology. .
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.
Mode of Delivery	Face to Face

COURSE LEARNING OUTCOMES

1	Recognizing the importance of statistics in engineering
2	. Basic theoretical knowledge of statistical analysis
3	To learn the basic methods of the implementations

COURSE'S CONTRIBUTION TO PROGRAM

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION

Activities	Quantity	Duration (Hour)	Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)	14	3	42
Hours for off-the-classroom study (Pre-study, practice)	14	2	28
Final examination	1	40	40
Presentation / Seminar Preparation	1	25	25
Midterm	1	21	21
Total Work Load ECTS Credit of the Course			156 6

COURSE DETAILS

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L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes

Prospective Student