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Course Description

CourseCodeSemesterT+P (Hour)CreditECTS
ADVANCED STATISTICS APPLICATIONSBUSY1213587Spring Semester3+039
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseEnglish
Course LevelSecond Cycle (Master's Degree)
Course TypeElective
Course CoordinatorAssist.Prof. Yasemin KARAKOÇ
Name of Lecturer(s)Assist.Prof. Recep ÖZSÜRÜNÇ
Assistant(s)
AimThe aim of this course is to introduce students to single and multivariate statistical methods, to make statistical applications in appropriate package programs, and to enable them to analyze different research designs on their own.
Course ContentThis course contains; Basic concepts of statistics,Central Limit theorem, confidence intervals review,Hypothesis tests,Correlation and regression analysis,One-way, two-way analysis of variance,Confidence intervals for population mean, proportion, and variance,Tests for the difference between two population means,Chi-Square tests,Linear regression analysis: Prediction process,Simulation, computer applications,Spss Applications,Spss Applicaitons,Spss Applications,Spss Applicaitons.
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
1. Explains basic statistics concepts.3, 9A
2. Actively uses the SPSS program.3, 9A
3. Performs basic descriptive statistics.3, 9A
4. Can perform basic hypothesis tests.3, 9A
5. Uses structural equation analysis.3, 9A
Teaching Methods:3: Problem Baded Learning Model, 9: Lecture Method
Assessment Methods:A: Traditional Written Exam

Course Outline

OrderSubjectsPreliminary Work
1Basic concepts of statisticsReading the relevant section from the book
2Central Limit theorem, confidence intervals reviewReading the relevant section in the textbook
3Hypothesis testsReading the relevant section from the book
4Correlation and regression analysisReading the relevant section in the textbook
5One-way, two-way analysis of varianceReading the relevant section in the textbook
6Confidence intervals for population mean, proportion, and varianceReading the relevant section in the textbook
7Tests for the difference between two population meansReading the relevant section in the textbook
8Chi-Square testsReading the relevant section in the textbook
9Linear regression analysis: Prediction processReading the relevant section in the textbook
10Simulation, computer applicationsReading the relevant section in the textbook
11Spss ApplicationsReading the relevant section from the book
12Spss ApplicaitonsReading the relevant section from the book
13Spss ApplicationsReading the relevant section from the book
14Spss ApplicaitonsReading the relevant section from the book
Resources
Miran, B. (2021). Temel İstatistik: Genişletilmiş baskı (Vol. 1). Bülent Miran.

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
NoProgram QualificationContribution Level
12345
1
Internalizing information regarding Business Management fields and sub-disciplines by taking into consideration social, scientific and ethical values ​​in the processes of acquiring, processing and evaluating.
X
1
To systematically convey the expert knowledge gained in the field of business administration and its sub-disciplines and the current developments in management theory and practice, both verbally and in writing, to groups in the field and outside the field.
X
1
Independently carrying out a study that requires expertise in the field of Business Management and its sub-disciplines.
X
1
Accessing and evaluating scientific knowledge in the field of Business Management and using this knowledge in solving high-level managerial problems of businesses.
X
1
Having advanced theoretical and practical knowledge supported by textbooks, application tools and other resources containing current information in the field
1
Critically evaluate the expert knowledge and skills acquired in the field of Business Management and its sub-disciplines.
2
Critically questioning business concepts and institutions, established management practices and rules, and taking initiative to develop and change them when necessary.
2
Developing and teaching the understanding of honesty, justice and ethics required to be a Senior Manager.
2
Developing positive attitudes towards lifelong learning and transforming them into behavior.
2
To have information about basic resources, current trends and approaches regarding Business Management in the light of current developments in the field of business
X
2
Developing different perspectives and producing solutions by taking responsibility for the solution of complex problems that require expertise and are encountered in the field of Business Management and its sub-disciplines.
X
2
Thinking about individual and social problems related to Business Management and producing solutions in the light of current developments
3
Solving the problems encountered in business theory and practice by using research methods specific to the field of Business.
X
3
Advanced use of information and communication technologies along with computer software at the level required by the field of Business Management.

Assessment Methods

Contribution LevelAbsolute Evaluation
Rate of Midterm Exam to Success 50
Rate of Final Exam to Success 50
Total 100
ECTS / Workload Table
ActivitiesNumber ofDuration(Hour)Total Workload(Hour)
Course Hours342126
Course Hours000
Guided Problem Solving000
Guided Problem Solving000
Resolution of Homework Problems and Submission as a Report000
Term Project000
Term Project000
Presentation of Project / Seminar000
Presentation of Project / Seminar000
Quiz000
Quiz000
Midterm Exam41040
Midterm Exam000
General Exam91090
General Exam000
Performance Task, Maintenance Plan000
Performance Task, Maintenance Plan000
Total Workload(Hour)256
Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(256/30)9
ECTS of the course: 30 hours of work is counted as 1 ECTS credit.

Detail Informations of the Course

Course Description

CourseCodeSemesterT+P (Hour)CreditECTS
ADVANCED STATISTICS APPLICATIONSBUSY1213587Spring Semester3+039
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseEnglish
Course LevelSecond Cycle (Master's Degree)
Course TypeElective
Course CoordinatorAssist.Prof. Yasemin KARAKOÇ
Name of Lecturer(s)Assist.Prof. Recep ÖZSÜRÜNÇ
Assistant(s)
AimThe aim of this course is to introduce students to single and multivariate statistical methods, to make statistical applications in appropriate package programs, and to enable them to analyze different research designs on their own.
Course ContentThis course contains; Basic concepts of statistics,Central Limit theorem, confidence intervals review,Hypothesis tests,Correlation and regression analysis,One-way, two-way analysis of variance,Confidence intervals for population mean, proportion, and variance,Tests for the difference between two population means,Chi-Square tests,Linear regression analysis: Prediction process,Simulation, computer applications,Spss Applications,Spss Applicaitons,Spss Applications,Spss Applicaitons.
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
1. Explains basic statistics concepts.3, 9A
2. Actively uses the SPSS program.3, 9A
3. Performs basic descriptive statistics.3, 9A
4. Can perform basic hypothesis tests.3, 9A
5. Uses structural equation analysis.3, 9A
Teaching Methods:3: Problem Baded Learning Model, 9: Lecture Method
Assessment Methods:A: Traditional Written Exam

Course Outline

OrderSubjectsPreliminary Work
1Basic concepts of statisticsReading the relevant section from the book
2Central Limit theorem, confidence intervals reviewReading the relevant section in the textbook
3Hypothesis testsReading the relevant section from the book
4Correlation and regression analysisReading the relevant section in the textbook
5One-way, two-way analysis of varianceReading the relevant section in the textbook
6Confidence intervals for population mean, proportion, and varianceReading the relevant section in the textbook
7Tests for the difference between two population meansReading the relevant section in the textbook
8Chi-Square testsReading the relevant section in the textbook
9Linear regression analysis: Prediction processReading the relevant section in the textbook
10Simulation, computer applicationsReading the relevant section in the textbook
11Spss ApplicationsReading the relevant section from the book
12Spss ApplicaitonsReading the relevant section from the book
13Spss ApplicationsReading the relevant section from the book
14Spss ApplicaitonsReading the relevant section from the book
Resources
Miran, B. (2021). Temel İstatistik: Genişletilmiş baskı (Vol. 1). Bülent Miran.

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
NoProgram QualificationContribution Level
12345
1
Internalizing information regarding Business Management fields and sub-disciplines by taking into consideration social, scientific and ethical values ​​in the processes of acquiring, processing and evaluating.
X
1
To systematically convey the expert knowledge gained in the field of business administration and its sub-disciplines and the current developments in management theory and practice, both verbally and in writing, to groups in the field and outside the field.
X
1
Independently carrying out a study that requires expertise in the field of Business Management and its sub-disciplines.
X
1
Accessing and evaluating scientific knowledge in the field of Business Management and using this knowledge in solving high-level managerial problems of businesses.
X
1
Having advanced theoretical and practical knowledge supported by textbooks, application tools and other resources containing current information in the field
1
Critically evaluate the expert knowledge and skills acquired in the field of Business Management and its sub-disciplines.
2
Critically questioning business concepts and institutions, established management practices and rules, and taking initiative to develop and change them when necessary.
2
Developing and teaching the understanding of honesty, justice and ethics required to be a Senior Manager.
2
Developing positive attitudes towards lifelong learning and transforming them into behavior.
2
To have information about basic resources, current trends and approaches regarding Business Management in the light of current developments in the field of business
X
2
Developing different perspectives and producing solutions by taking responsibility for the solution of complex problems that require expertise and are encountered in the field of Business Management and its sub-disciplines.
X
2
Thinking about individual and social problems related to Business Management and producing solutions in the light of current developments
3
Solving the problems encountered in business theory and practice by using research methods specific to the field of Business.
X
3
Advanced use of information and communication technologies along with computer software at the level required by the field of Business Management.

Assessment Methods

Contribution LevelAbsolute Evaluation
Rate of Midterm Exam to Success 50
Rate of Final Exam to Success 50
Total 100

Numerical Data

Student Success

Ekleme Tarihi: 29/02/2024 - 10:14Son Güncelleme Tarihi: 29/02/2024 - 10:14