E-posta : selimtuzunturk@uludag.edu.tr Telefon: 0 224 29 41152 Adres: Bursa Uludağ Üniversitesi, İktisadi ve İdari Bilimler Fakültesi, Ekonometri Bölümü,16059, Görükle/Bursa.
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Website:
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Objective of the Course:
To provide the knowledge and skills required to perform statistical analyzes in engineering applications.
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Contribution of the Course to Professional Development
Acquiring the knowledge and skills required to perform statistical analyzes in engineering applications.
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Learning Outcomes:
1
Mastering the sampling design.;
2
Mastering data collection methods.;
3
Be aware of data entry, cleaning and preparation.;
4
Ability to apply basic statistical analysis methods and interpret the obtained findings.;
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Course Content:
Week
Theoretical
Practical
1
Statistical Research and Literature Review
Practice
2
Data, Data Types and Basic Concepts
Practice
3
Measurement
Practice
4
Basic Concepts
Practice
5
Sample, Sampling and Sampling Methods
Practice
6
Data Cleaning, Tables and Graphs
Practice
7
Central Tendency
Practice
8
Variability
Practice
9
Causality, Types of Relationships in Statistics
Practice
10
Indices
Practice
11
Probability and Probability Calculations
Practice
12
Distribution, Distribution Type and Probability Distributions
Practice
13
Discrete Probability Distributions
Practice
14
Continuous Probability Distributions
Practice
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Textbooks, References and/or Other Materials:
Tim Swartz, (2014), Introduction to Probability and Statistics, Pearson.
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Assesment
TERM LEARNING ACTIVITIES
NUMBER
PERCENT
Midterm Exam
1
40
Quiz
0
0
Homeworks, Performances
0
0
Final Exam
1
60
Total
2
100
Contribution of Term (Year) Learning Activities to Success Grade
40
Contribution of Final Exam to Success Grade
60
Total
100
Measurement and Evaluation Techniques Used in the Course
Test questions and written questions
Information
This course is evaluated with a relative evaluation system.
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ECTS / WORK LOAD TABLE
Activites
NUMBER
TIME [Hour]
Total WorkLoad [Hour]
Theoretical
14
2
28
Practicals/Labs
14
2
28
Self Study and Preparation
14
6
84
Homeworks, Performances
0
0
0
Projects
0
0
0
Field Studies
0
0
0
Midtermexams
1
20
20
Others
0
0
0
Final Exams
1
20
20
Total WorkLoad
180
Total workload/ 30 hr
6
ECTS Credit of the Course
6
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CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS