Kodu | Dersin Adı | Yarıyıl | Süresi(T+U) | Kredisi | AKTS Kredisi |
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EKF222 | İSTATİSTİK II | 4 | 3 | 3 | 6 |
DERS BİLGİLERİ |
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Dersin Öğretim Dili : | Türkçe |
Dersin Düzeyi | BACHELOR'S DEGREE, TYY: + 6.Level, EQF-LLL: 6.Level, QF-EHEA: First Cycle |
Dersin Türü | Zorunlu |
Dersin Veriliş Şekli | - |
Dersin Koordinatörü | Assist.Prof. TAYLAN MARAL |
Dersi Veren Öğretim Üyesi/Öğretim Görevlisi | |
Ders Ön Koşulu | Yok |
AMAÇ VE İÇERİK |
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Amaç: | This course aims to provide students with the ability to make scientific decision making according to statistical analysis techniques and analysis results. |
İçerik: | Contents of the course include the subjects such as confidence interval estimates for single and two universe, Hypothesis testing for single and two universe, Simple and multiple regression analysis, Nonparametric statistics, Chi-square distribution. |
DERSİN ÖĞRENME ÇIKTILARI (Öğrenciler, bu dersi başarı ile tamamladıklarında aşağıda belirtilen bilgi, beceri ve/veya yetkinlikleri gösterirler.) |
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Interpret on parameter by using the statistics. (4) |
Compare the relationship between two variables. (4) |
Interpret the index types and calculations. (4) |
Classify cross tables. (4) |
Interpret the distributions statistically. (4) |
Solve the problems related to Hypothesis testing and chi-square distributions. (3) |
Analyze distributions. (4) |
Analyze hypotheses using statistical methods. (4) |
HAFTALIK DERS KONULARI VE ÖNGÖRÜLEN HAZIRLIK ÇALIŞMALARI |
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Hafta | Ön Hazırlık | Konular | Yöntem |
1 | Reading | Concept and Types | Lecture & Question Answer & Problem-Solving Method |
2 | Reading | Hypothesis Testing Concept | Lecture & Question Answer & Problem-Solving Method |
3 | Reading | Central Limit Theorem | Lecture & Question Answer & Problem-Solving Method |
4 | Reading | Hypothesis Testing of Single Value and Mean | Lecture & Question Answer & Problem-Solving Method |
5 | Reading | Hypothesis Testing of Single Value and Mean | Lecture & Question Answer & Problem-Solving Method |
6 | Reading | Hypothesis Testing of Single Value and Mean | Lecture & Question Answer & Problem-Solving Method |
7 | Reading | Linear Trend | Lecture & Question Answer & Problem-Solving Method |
8 | - | MID-TERM EXAM | - |
9 | Reading | Regression Analysis | Lecture & Question Answer & Problem-Solving Method |
10 | Reading | Curvilinear Trend | Lecture & Question Answer & Analysis |
11 | Reading | Indexes and Time Zaman Indexes | Lecture & Question Answer & Analysis |
12 | Reading | Simple and Compound Indexes | Lecture & Question Answer & Analysis |
13 | Reading | Chi Squared Distribution | Lecture & Question Answer & Problem-Solving Method |
14 | Reading | Chi Square Test | Lecture & Question Answer & Problem-Solving Method |
15 | Reading | General Revision and Evaluation | Lecture & Question Answer & Problem-Solving Method |
16 | - | FINAL EXAM | - |
17 | - | FINAL EXAM | - |
KAYNAKLAR |
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Murray R. Spiegel, Larry J. Stephens (2013). Statistic. Nobel Academic Publications |
Cil, B.(2008).Istatistik.8th Edition. Detay Publications |
ÖLÇME VE DEĞERLENDİRME |
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Yarıyıl İçi Yapılan Çalışmaların Ölçme ve Değerlendirmesi | Etkinlik Sayısı | Katkı Yüzdesi | Açıklama |
(0) Etkisiz | (1) En Düşük | (2) Düşük | (3) Orta | (4) İyi | (5) Çok İyi |
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0 | 1 | 2 | 3 | 4 | 5 |
KNOWLEDGE | |||||||
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Theoretical | |||||||
Program Yeterlilikleri/Çıktıları | Katkı Düzeyi | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
List the history of communication, mass media, communication theories and leading theorists.
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2 |
List the historical, social and cultural types of communication and explain the related concepts.
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3 |
Define the important points of the history and theories of communication through daily life practices and social life.
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KNOWLEDGE | |||||||
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Factual | |||||||
Program Yeterlilikleri/Çıktıları | Katkı Düzeyi | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Compare the traditional media and new media economic policies.
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2 |
Interpret digital culture with constantly updated and self-renewing topics.
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3 |
Interpret the technical, socio-political and legal aspects of cyber security issues in the field of new media.
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SKILLS | |||||||
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Cognitive | |||||||
Program Yeterlilikleri/Çıktıları | Katkı Düzeyi | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Define the basic concepts of communication history, communication theories, traditional and new media channels.
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SKILLS | |||||||
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Practical | |||||||
Program Yeterlilikleri/Çıktıları | Katkı Düzeyi | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Prepare web pages with CSS codes.
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2 |
Produce creative content in new media environments, create an image and sound and practical studies about programming.
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3 |
Analyze the sub-texts and their semantics of the studies presented to the society by mass media.
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4 |
Use qualitative and quantitative elements to construct arguments on studies in the field of communication.
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OCCUPATIONAL | |||||||
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Autonomy & Responsibility | |||||||
Program Yeterlilikleri/Çıktıları | Katkı Düzeyi | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Manage social media accounts of brands, corporate firms and public institutions thanks to its advanced knowledge in content production and user experience.
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OCCUPATIONAL | |||||||
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Learning to Learn | |||||||
Program Yeterlilikleri/Çıktıları | Katkı Düzeyi | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Review local and foreign studies in the field of New Media.
Creates innovative works in his/her field.
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2 |
Criticize the effects of social media activities on socio-political field.
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OCCUPATIONAL | |||||||
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Communication & Social | |||||||
Program Yeterlilikleri/Çıktıları | Katkı Düzeyi | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Plan scientific studies in any area that can be encountered in different disciplines and transfer them to people from different disciplines.
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2 |
Determine how much of the content produced by the media is right and wrong.
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OCCUPATIONAL | |||||||
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Occupational and/or Vocational | |||||||
Program Yeterlilikleri/Çıktıları | Katkı Düzeyi | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Follows the developments that have begun to guide the present and the future such as "Software".
Produce various software products for different sectors.
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2 |
Design using new architectures of big data processing systems.
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3 |
Determine the logic of operation of artificial intelligence algorithms and determines the possible effects on media and indirectly society.
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DERSİN İŞ YÜKÜ VE AKTS KREDİSİ |
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Öğrenme-Öğretme Etkinlikleri İş Yükü | |||
Öğrenme-Öğretme Etkinlikleri | Etkinlik(hafta sayısı) | Süresi(saat sayısı) | Toplam İş Yükü |
Lecture & In-Class Activities | 14 | 3 | 42 |
Preliminary & Further Study | 13 | 2 | 26 |
Land Surveying | 0 | 0 | 0 |
Group Work | 0 | 0 | 0 |
Laboratory | 0 | 0 | 0 |
Reading | 10 | 2 | 20 |
Assignment (Homework) | 7 | 2 | 14 |
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 | 1 | 1 |
Preparation for the Final Exam | 4 | 8 | 32 |
Mid-Term Exam | 1 | 1 | 1 |
Preparation for the Mid-Term Exam | 2 | 8 | 16 |
Short Exam | 0 | 0 | 0 |
Preparation for the Short Exam | 0 | 0 | 0 |
TOTAL | 52 | 0 | 152 |
Genel Toplam | 152 | ||
Toplam İş Yükü / 25.5 | 6 | ||
Dersin AKTS(ECTS) Kredisi | 6,0 |