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Week
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Topics
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Study Metarials
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1
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Introduction to statistics and data analysis
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R1 Pages 1-7
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2
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Descriptive statistics, central tendency, range of data
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R1 Pages 9-26
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3
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Distributions, normal distribution, t-distribution, F distribution
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R1 Pages 188-196
R2 Pages 30-33
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4
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Hypothesis test, type 1 and type 2 errors, confidence interval
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R1 Page 297
R2 Pages 33-48
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5
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Testing normal populations based on equal and non-equal means and variances
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R1 Pages 318-326
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6
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Design of experiment, randomized blocks, analysis of variance
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R2 Page 135
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7
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Latin square design
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R2 Pages 153-162
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8
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Multiple comparison tests
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R2 Pages 95-98
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9
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Factorial designs
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R2 Page 179
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10
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Factorial designs in blocks
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R2 Page 215
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11
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Linear regression
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R1 Page 357
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12
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Linearization of non-linear equations
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R1 Pages 387-390
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13
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Multiple linear regression
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R1 Page 400
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14
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Response surface methodology
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R2 Page 489
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Prerequisites
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-
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Language of Instruction
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Turkish
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Responsible
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Dr. Seda ÖZGEN
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Instructors
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-
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Assistants
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-
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Resources
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R1. Ross, S. M. (2014). Introduction to Probability and Statistics for Engineers and Scientists. (5th ed.). Academic Press, Elsevier.
R2. Montgomery, D. C. (2017). Design and Analysis of Experiments. (9th ed.). John Wiley & Sons, Inc.
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Supplementary Book
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SR1. Özdamar, K. (2002). Paket Programlar İle İst. Veri Analizi. Kaan Kitapevi, Eskişehir
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Goals
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This course aims to give the fundamentals of statistical analysis using engineering data and different methods used for statistical assessment
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Content
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Data assessment, Introduction of statistical software, Statistical analysis depending on variables, Design of Experiments
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Program Learning Outcomes |
Level of Contribution |
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1
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Selecting and using the publications, books and methods necessary for scientific research.
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-
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2
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Effective a foreign language eto follow the international literature on field.
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-
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3
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Ability to design experiments, conduct experiments, analyze and interpret the results of experiments.
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5
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4
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Ability to identify, define and solve engineering problems
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4
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5
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Ability to contact research independently or as a member of a team.
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-
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6
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To be able to transfer the knowledge in the field by using the necessary techniques and devices in the field of Food Engineering.
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-
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7
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Using scientific methods in the field of Food Engineering,an ability to acquiring interdisciplinary knowledge, analyzing and synthesizing this knowledge and using it with a sense of scientific, social and ethical responsibility.
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-
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8
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To learn the basic current information about the field and to present an opinion about the innovations that will provide improvement in this field.
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4
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9
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Define and formulate problems releated to the field, develop methods to solve and apply innovative methods in solutions.
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2
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10
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Knowing the social, enviromental, health,safety legal aspects of engineering practices,project management and
business life practices and being aware of the constrains they impose on engineering practices.
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-
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11
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Observing social, scientific and ethicalvaluesin the stages of data collection, interperetation, annoucement and in all professional activities.
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-
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