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Course Detail

Course Description

CourseCodeSemesterT+P (Hour)CreditECTS
SPSS PRACTICES in COMMUNICATION STUDIES-Fall Semester1+225
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseTurkish
Course LevelFirst Cycle (Bachelor's Degree)
Course TypeElective
Course CoordinatorAssoc.Prof. İhsan EKEN
Name of Lecturer(s)Assoc.Prof. İhsan EKEN
Assistant(s)
AimThe aim of this course is to create the information infrastructure that will enable the participants to carry out their studies efficiently by transferring the basic statistical tools and analysis processes used in business, bachelor, master, doctorate field by making data analysis easily with the help of statistical programs such as spss package programs and to teach the application of this infrastructure.
Course ContentThis course contains; Introduction, explanation of lesson processing and content ,Scientific Research Process
,Hypothesis and variables,Research Process: Defining the problem and knowledge,Research Process: Universe and sampling methods,Research Process :, Survey design and application methods,Introduction to SPSS, coding, data entry and sample applications 1 ,Practicing,Introduction to SPSS, coding, data entry and sample applications 2,Non-parametric tests: Chi-square, Man Whitney U, Sign, etc. Tests and SPSS Applications,Reliability and validity analysis and SPSS applications ,Factor analysis and SPSS applications,Research Report: Creating a report and writing a research project,Homework applications and presentations.
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
Uses the basic concepts of research methods10, 16, 9A, D, E, H
To be able to prepare a questionnaire16, 8, 9E, H
To be able to use the data structures and scales based on the research10, 16, 6H
To determine research objectives and to create hypothesis16, 9A, D, E
To be able to design the research16A, D, E, F
To be able to determine appropriate statistical methods for research10, 16A, D, E, F, H
To be able to interpret statistical data and tables10, 16, 9A, E, F
Teaching Methods:10: Discussion Method, 16: Question - Answer Technique, 6: Experiential Learning, 8: Flipped Classroom Learning, 9: Lecture Method
Assessment Methods:A: Traditional Written Exam, D: Oral Exam, E: Homework, F: Project Task, H: Performance Task

Course Outline

OrderSubjectsPreliminary Work
1Introduction, explanation of lesson processing and content
2Scientific Research Process
Reading the relevant section of the given source
3Hypothesis and variablesReading the relevant section of the given source
4Research Process: Defining the problem and knowledgeReading the relevant section of the given source
5Research Process: Universe and sampling methodsReading the relevant section of the given source
6Research Process :, Survey design and application methodsReading the relevant section of the given source
7Introduction to SPSS, coding, data entry and sample applications 1 Reading the relevant section of the given source
8PracticingReading the relevant section of the given source
9Introduction to SPSS, coding, data entry and sample applications 2Reading the relevant section of the given source
10Non-parametric tests: Chi-square, Man Whitney U, Sign, etc. Tests and SPSS ApplicationsReading the relevant section of the given source
11Reliability and validity analysis and SPSS applications Reading the relevant section of the given source
12Factor analysis and SPSS applicationsReading the relevant section of the given source
13Research Report: Creating a report and writing a research projectReading the relevant section of the given source
14Homework applications and presentationsReading the relevant section of the given source
Resources
Julie Pallant, SPSS Kullanma Kılavuzu Spss İle Adım Adım Veri Analizi, Anı Yayıncılık, 2. Baskı Fatma Lorcu, Örneklerle Veri Analizi SPSS Uygulamalı, Detay Yayıncılık Eyyub Yaraş ve Mahir Nakip, SPSS Uygulamalı - Pazarlama Araştırmalarına Giriş, Seçkin Yayıncılık, 5. Baskı Sait Gürbüz ve Faruk Şahin, Sosyal Bilimlerde Araştırma Yöntemleri, Seçkin Yayıncılık, 3. Baskı
Nassim Nicholas Taleb, Siyah Kuğu, Varlık Yayınları, 8. Baskı Şener Büyüköztürk, Sosyal Bilimler İçin Veri Analizi El Kitabı, Pegem Yayıncılık Ercan Gegez, Pazarlama Araştırmaları, Beta Yayınları, 5. Baskı Alvin C. Burns ve Ronald F. Bush, Pazarlama Araştırması, Nobel Akademik Yayıncılık Seher Er, Pazarlama ve Kamuoyu Araştırma Alanları, Nobel Akademik Yayıncılık Kürşat Çağıltay, İnsan Bilgisayar Etkileşimi ve Kullanılabilirlik Mühendisliği: Teoriden Pratiğe, Odtü Yayıncılık Ray Poynter, İnternet ve Sosyal Medya Araştırmaları El Kitabı: Pazar Araştırmaları İçin Araçlar ve Teknikler, Optimist Kazım Özdamar, Paket Programlar ile İstatistiksel Veri Analizi Cilt:I- II, Şubat 2013

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
NoProgram QualificationContribution Level
12345
1
Knows the basic concepts of Media and Visual Arts disciplines.
2
Knows the basic theories of media and visual arts disciplines.
3
Knows the necessary computer programs and multi-media techniques in Media and Visual Arts.
4
Knows the aesthetic rules necessary in Media and Visual Arts.
5
Acts in a way that adheres to national and international ethical codes in professional and scientific studies.
X
6
Understands the symbol systems of cultures.
7
Analyzes the facts related to Media and Visual Arts in their dimensions.
8
Plans the visual design process in line with the needs of institutions/individuals.
9
Carries out the visual communication process in line with the needs of institutions/individuals.
10
Uses the tools, methods and techniques required for Media and Visual Arts practices.
11
Has the ability to produce, process and evaluate real, 2D and 3D images.
12
Applies visual design techniques in new media environments.
13
Has aesthetic awareness and understanding of design.
14
Performs their profession by taking into consideration the "Occupational Health and Safety" rules.
15
Solve problems that arise by taking responsibility in projects related to Media and Visual Arts.
16
Can transform theoretical and factual problems of Media and Visual Arts disciplines and sub-disciplines into publications using scientific methods.
17
Regularly follows the developments in the field of Media and Visual Arts and uses them effectively in her work.
18
Uses Turkish fluently and accurately in scientific and professional studies.
19
Can read and understand at least one foreign language at B1 level.
20
Plans and takes part in social responsibility projects.
21
Incorporates artificial intelligence (artificial learning/machine learning) into the creation process.

Assessment Methods

Contribution LevelAbsolute Evaluation
Rate of Midterm Exam to Success 40
Rate of Final Exam to Success 60
Total 100
ECTS / Workload Table
ActivitiesNumber ofDuration(Hour)Total Workload(Hour)
Course Hours14342
Guided Problem Solving000
Resolution of Homework Problems and Submission as a Report12424
Term Project13030
Presentation of Project / Seminar11515
Quiz000
Midterm Exam11212
General Exam12424
Performance Task, Maintenance Plan000
Total Workload(Hour)147
Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(147/30)5
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
SPSS PRACTICES in COMMUNICATION STUDIES-Fall Semester1+225
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseTurkish
Course LevelFirst Cycle (Bachelor's Degree)
Course TypeElective
Course CoordinatorAssoc.Prof. İhsan EKEN
Name of Lecturer(s)Assoc.Prof. İhsan EKEN
Assistant(s)
AimThe aim of this course is to create the information infrastructure that will enable the participants to carry out their studies efficiently by transferring the basic statistical tools and analysis processes used in business, bachelor, master, doctorate field by making data analysis easily with the help of statistical programs such as spss package programs and to teach the application of this infrastructure.
Course ContentThis course contains; Introduction, explanation of lesson processing and content ,Scientific Research Process
,Hypothesis and variables,Research Process: Defining the problem and knowledge,Research Process: Universe and sampling methods,Research Process :, Survey design and application methods,Introduction to SPSS, coding, data entry and sample applications 1 ,Practicing,Introduction to SPSS, coding, data entry and sample applications 2,Non-parametric tests: Chi-square, Man Whitney U, Sign, etc. Tests and SPSS Applications,Reliability and validity analysis and SPSS applications ,Factor analysis and SPSS applications,Research Report: Creating a report and writing a research project,Homework applications and presentations.
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
Uses the basic concepts of research methods10, 16, 9A, D, E, H
To be able to prepare a questionnaire16, 8, 9E, H
To be able to use the data structures and scales based on the research10, 16, 6H
To determine research objectives and to create hypothesis16, 9A, D, E
To be able to design the research16A, D, E, F
To be able to determine appropriate statistical methods for research10, 16A, D, E, F, H
To be able to interpret statistical data and tables10, 16, 9A, E, F
Teaching Methods:10: Discussion Method, 16: Question - Answer Technique, 6: Experiential Learning, 8: Flipped Classroom Learning, 9: Lecture Method
Assessment Methods:A: Traditional Written Exam, D: Oral Exam, E: Homework, F: Project Task, H: Performance Task

Course Outline

OrderSubjectsPreliminary Work
1Introduction, explanation of lesson processing and content
2Scientific Research Process
Reading the relevant section of the given source
3Hypothesis and variablesReading the relevant section of the given source
4Research Process: Defining the problem and knowledgeReading the relevant section of the given source
5Research Process: Universe and sampling methodsReading the relevant section of the given source
6Research Process :, Survey design and application methodsReading the relevant section of the given source
7Introduction to SPSS, coding, data entry and sample applications 1 Reading the relevant section of the given source
8PracticingReading the relevant section of the given source
9Introduction to SPSS, coding, data entry and sample applications 2Reading the relevant section of the given source
10Non-parametric tests: Chi-square, Man Whitney U, Sign, etc. Tests and SPSS ApplicationsReading the relevant section of the given source
11Reliability and validity analysis and SPSS applications Reading the relevant section of the given source
12Factor analysis and SPSS applicationsReading the relevant section of the given source
13Research Report: Creating a report and writing a research projectReading the relevant section of the given source
14Homework applications and presentationsReading the relevant section of the given source
Resources
Julie Pallant, SPSS Kullanma Kılavuzu Spss İle Adım Adım Veri Analizi, Anı Yayıncılık, 2. Baskı Fatma Lorcu, Örneklerle Veri Analizi SPSS Uygulamalı, Detay Yayıncılık Eyyub Yaraş ve Mahir Nakip, SPSS Uygulamalı - Pazarlama Araştırmalarına Giriş, Seçkin Yayıncılık, 5. Baskı Sait Gürbüz ve Faruk Şahin, Sosyal Bilimlerde Araştırma Yöntemleri, Seçkin Yayıncılık, 3. Baskı
Nassim Nicholas Taleb, Siyah Kuğu, Varlık Yayınları, 8. Baskı Şener Büyüköztürk, Sosyal Bilimler İçin Veri Analizi El Kitabı, Pegem Yayıncılık Ercan Gegez, Pazarlama Araştırmaları, Beta Yayınları, 5. Baskı Alvin C. Burns ve Ronald F. Bush, Pazarlama Araştırması, Nobel Akademik Yayıncılık Seher Er, Pazarlama ve Kamuoyu Araştırma Alanları, Nobel Akademik Yayıncılık Kürşat Çağıltay, İnsan Bilgisayar Etkileşimi ve Kullanılabilirlik Mühendisliği: Teoriden Pratiğe, Odtü Yayıncılık Ray Poynter, İnternet ve Sosyal Medya Araştırmaları El Kitabı: Pazar Araştırmaları İçin Araçlar ve Teknikler, Optimist Kazım Özdamar, Paket Programlar ile İstatistiksel Veri Analizi Cilt:I- II, Şubat 2013

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
NoProgram QualificationContribution Level
12345
1
Knows the basic concepts of Media and Visual Arts disciplines.
2
Knows the basic theories of media and visual arts disciplines.
3
Knows the necessary computer programs and multi-media techniques in Media and Visual Arts.
4
Knows the aesthetic rules necessary in Media and Visual Arts.
5
Acts in a way that adheres to national and international ethical codes in professional and scientific studies.
X
6
Understands the symbol systems of cultures.
7
Analyzes the facts related to Media and Visual Arts in their dimensions.
8
Plans the visual design process in line with the needs of institutions/individuals.
9
Carries out the visual communication process in line with the needs of institutions/individuals.
10
Uses the tools, methods and techniques required for Media and Visual Arts practices.
11
Has the ability to produce, process and evaluate real, 2D and 3D images.
12
Applies visual design techniques in new media environments.
13
Has aesthetic awareness and understanding of design.
14
Performs their profession by taking into consideration the "Occupational Health and Safety" rules.
15
Solve problems that arise by taking responsibility in projects related to Media and Visual Arts.
16
Can transform theoretical and factual problems of Media and Visual Arts disciplines and sub-disciplines into publications using scientific methods.
17
Regularly follows the developments in the field of Media and Visual Arts and uses them effectively in her work.
18
Uses Turkish fluently and accurately in scientific and professional studies.
19
Can read and understand at least one foreign language at B1 level.
20
Plans and takes part in social responsibility projects.
21
Incorporates artificial intelligence (artificial learning/machine learning) into the creation process.

Assessment Methods

Contribution LevelAbsolute Evaluation
Rate of Midterm Exam to Success 40
Rate of Final Exam to Success 60
Total 100

Numerical Data

Student Success

Ekleme Tarihi: 05/10/2023 - 13:56Son Güncelleme Tarihi: 05/10/2023 - 13:57