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STATISTICAL ANALYSIS PROGRAMME COURSE DESCRIPTION

Code Name of the Course Unit Semester In-Class Hours (T+P) Credit ECTS Credit
MAT217 STATISTICAL ANALYSIS 6 3 3 5

GENERAL INFORMATION

Language of Instruction : Turkish
Level of the Course Unit : BACHELOR'S DEGREE, TYY: + 6.Level, EQF-LLL: 6.Level, QF-EHEA: First Cycle
Type of the Course : Compulsory
Mode of Delivery of the Course Unit -
Coordinator of the Course Unit Assist.Prof. OĞUZHAN ÖZTAŞ
Instructor(s) of the Course Unit
Course Prerequisite No

OBJECTIVES AND CONTENTS

Objectives of the Course Unit: İdentifies problem in the field of statistic problem and find solution,prerares reports for statistic problem,solving continious random variable problem and normal distribution
Contents of the Course Unit: İinterval estimation ,Reliability,continious normal distirubution,dependent and independent events,chi-square testing,forecasting,ANOVA, hypothesis tests (As the population average and the ratio)

KEY LEARNING OUTCOMES OF THE COURSE UNIT (On successful completion of this course unit, students/learners will or will be able to)

identify and solve statistics and probability problems
Develop data and research-based solutıon
The relationship between other engineering science and statistic
Use test with statistic methods

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY

Week Preparatory Topics(Subjects) Method
1 - Continius Random variable and normal distribution -
2 - Continius Random variable and normal distribution applications -
3 - Standard normal distiribution -
4 - İinterval estimation -
5 - hypothesis tests -
6 - hypothesis tests (As the population average and the ratio) -
7 - hypothesis tests (As the population average and the ratio) -
8 - MID-TERM EXAM -
9 - hypothesis tests (As the population average and the ratio) -
10 - chi-square testing -
11 - chi-square methods and applications -
12 - Time series analysis -
13 - Single factor analysis of variance and tukey test -
14 - Single factor analysis of variance ,ANOVA -
15 - Single factor analysis of variance ,ANOVA -
16 - FINAL EXAM -
17 - FINAL EXAM -

SOURCE MATERIALS & RECOMMENDED READING

İşletmeciler için genel istatistik,Orhan İdil,İ.Ü. Yayınları,1983, Yönetimde istatistik teknikler ve örnek olaylar, Orhan İdil,İst. Gelişim Üniv. ,1979

ASSESSMENT

Assessment & Grading of In-Term Activities Number of Activities Degree of Contribution (%) Description
Level of Contribution
0 1 2 3 4 5

CONTRIBUTION OF THE COURSE UNIT TO THE PROGRAMME LEARNING OUTCOMES

KNOWLEDGE

Theoretical

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Explains the fundamental engineering concepts of computer science and relates them to the groundwork of computer science.
2

KNOWLEDGE

Factual

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Uses theoretical and practical knowledge coming from mathematics, probability, statistics and various other branches of life sciences, to find solutions to engineering problems.
5

SKILLS

Cognitive

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Determines the components and the underlying process of a system and designs an appropriate computational model under reasonable constraints.
4
2
Designs a computer-aided conceptual model with modern techniques.
0

SKILLS

Practical

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Determines, detects and analyzes the areas of computer science applications and develops appropriate solutions.
1
2
Identifies, models and solves computer engineering problems by applying appropriate analytical methods.
1
3
Determines and uses the necessary information technologies in an efficient way for engineering applications.
2

OCCUPATIONAL

Autonomy & Responsibility

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Possess the responsibility and ability to design and conduct experiments for engineering problems by collecting, analyzing and interpreting data.
1
2
Possess the ability to conduct effective individual study.
2
3
Takes responsibility as a team work and contributes in an effective way.
1

OCCUPATIONAL

Learning to Learn

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Monitors the developments in the field of information technologies by means of internet and related journals and possess the required knowledge for the management, control, development and security of information technologies.
1
2
Develops positive attitude towards lifelong learning.
2

OCCUPATIONAL

Communication & Social

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Communicates effectively by oral and/or written form and uses at least one foreign language.
3
2
Possess sufficient consciousness about the issues of project management, practical applications and also environmental protection, worker's health and security.
1

OCCUPATIONAL

Occupational and/or Vocational

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Possess professional and ethical responsibility and willingness to share it.
3
2
Possess sufficient consciousness about the universality of engineering solutions and applications and be well aware of the importance of innovation.
3

WORKLOAD & ECTS CREDITS OF THE COURSE UNIT

Workload for Learning & Teaching Activities

Type of the Learning Activites Learning Activities (# of week) Duration (hours, h) Workload (h)
Lecture & In-Class Activities 14 3 42
Preliminary & Further Study 14 3 42
Land Surveying 0 0 0
Group Work 1 5 5
Laboratory 0 0 0
Reading 0 0 0
Assignment (Homework) 0 0 0
Project Work 0 0 0
Seminar 0 0 0
Internship 0 0 0
Technical Visit 0 0 0
Web Based Learning 0 0 0
Implementation/Application/Practice 0 0 0
Practice at a workplace 0 0 0
Occupational Activity 0 0 0
Social Activity 0 0 0
Thesis Work 0 0 0
Field Study 0 0 0
Report Writing 0 0 0
Final Exam 1 2 2
Preparation for the Final Exam 5 3 15
Mid-Term Exam 1 2 2
Preparation for the Mid-Term Exam 5 2 10
Short Exam 1 2 2
Preparation for the Short Exam 1 3 3
TOTAL 43 0 123
Total Workload of the Course Unit 123
Workload (h) / 25.5 4,8
ECTS Credits allocated for the Course Unit 5,0