Language of instruction: |
English |
Type of course: |
Must Course |
Course Level: |
Bachelor’s Degree (First Cycle)
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Mode of Delivery: |
Face to face
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Course Coordinator : |
Assoc. Prof. SABRİ TANKUT ATAN |
Course Lecturer(s): |
Prof. Dr. SELİM ZAİM
Dr. Öğr. Üyesi ETHEM ÇANAKOĞLU
Prof. Dr. CENGİZ KAHRAMAN
RA ESRA ADIYEKE
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Recommended Optional Program Components: |
N.A. |
Course Objectives: |
The aim of the course is to provide the fundamentals of engineering statistics such as random sampling, data analysis, sampling distribution theory, estimation, confidence intervals, hypothesis tests, goodness of fit tests, and regression and correlation analysis. |
Week |
Subject |
Related Preparation |
1) |
Introduction to statistics.
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2) |
Population vs sample, sample mean, sample variance.
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3) |
Stem-and-leaf display, histogram, box
plot, normal probability plot |
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4) |
Sampling distributions and point estimation of parameters |
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5) |
Sampling distributions and point estimation of parameters
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6) |
Statistical intervals for a single sample |
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7) |
Statistical intervals for a single sample |
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8) |
Tests of hypotheses for a single sample |
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9) |
Midterm |
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10) |
Statistical inference for two samples |
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11) |
Statistical inference for two samples |
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12) |
Simple linear regression |
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13) |
Simple linear regression |
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14) |
Nonparametric tests |
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Program Outcomes |
Level of Contribution |
1) |
Have sufficient background in mathematics, science and artificial intelligence engineering. |
5 |
2) |
Use theoretical and applied knowledge in the fields of mathematics, science and artificial intelligence engineering together for engineering solutions. |
5 |
3) |
Identify, define, formulate and solve engineering problems, select and apply appropriate analytical methods and modeling techniques for this purpose. |
5 |
4) |
Analyse a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods in this direction. |
5 |
5) |
Select and use modern techniques and tools necessary for engineering applications. |
5 |
6) |
Design and conduct experiments, collect data, and analyse and interpret results. |
5 |
7) |
Work effectively both as an individual and as a multi-disciplinary team member. |
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8) |
Access information via conducting literature research, using databases and other resources |
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9) |
Follow the developments in science and technology and constantly update themself with an awareness of the necessity of lifelong learning. |
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10) |
Use information and communication technologies together with computer software with at least the European Computer License Advanced Level required by their field. |
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11) |
Communicate effectively, both verbal and written; know a foreign language at least at the European Language Portfolio B1 General Level. |
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12) |
Have an awareness of the universal and social impacts of engineering solutions and applications; know about entrepreneurship and innovation; and have an awareness of the problems of the age. |
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13) |
Have a sense of professional and ethical responsibility. |
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14) |
Have an awareness of project management, workplace practices, employee health, environment and work safety; know the legal consequences of engineering practices. |
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