Kodu | Dersin Adı | Yarıyıl | Süresi(T+U) | Kredisi | AKTS Kredisi |
---|---|---|---|---|---|
YBS202 | İLERİ İSTATİSTİK I-BETİMLEYİCİ YÖNTEMLER | 4 | 3 | 3 | 6 |
DERS BİLGİLERİ |
|
---|---|
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. DİDEM TETİK KÜÇÜKELÇİ |
Dersi Veren Öğretim Üyesi/Öğretim Görevlisi | |
Ders Ön Koşulu | Yok |
AMAÇ VE İÇERİK |
|
---|---|
Amaç: | This course aims to provide the students with the basic concepts of statistics, inform them about basic statistical criteria, probability theory, indices and fundamental probability divisions to be applied to appropriate problems. |
İçerik: | Statistics identifies the past and the present situation and takes the descriptive name when it presents summary information and graphs. Summarizing the data with the help of tables or graphs and reducing it to a single number, such as averages, of a large number of numbers is also applicable to this field. Briefly, summarize and present the information contained in a dataset of descriptive statistics by using numerical and graphical methods. |
DERSİN ÖĞRENME ÇIKTILARI (Öğrenciler, bu dersi başarı ile tamamladıklarında aşağıda belirtilen bilgi, beceri ve/veya yetkinlikleri gösterirler.) |
---|
Explain the basic concepts of statistics. |
Discover the methods of collecting data. |
Interpret the information about average and variability measures. |
Choose the index to use according to the situation. |
Calculate the probability calculus. |
HAFTALIK DERS KONULARI VE ÖNGÖRÜLEN HAZIRLIK ÇALIŞMALARI |
|||
---|---|---|---|
Hafta | Ön Hazırlık | Konular | Yöntem |
1 | - | Introduction | Lecture & Discussion |
2 | Literature Review | Description of data - visual | Lecture & Problem Solving |
3 | Literature Review | Description of data with time series | Lecture & Problem Solving |
4 | Literature Review | Description of data - numerical | Lecture & Problem Solving |
5 | Literature Review | Variability measurements | Lecture & Problem Solving |
6 | Literature Review | Probability | Lecture & Problem Solving |
7 | Literatür Taraması | Bayes Theorem | Lecture & Problem Solving |
8 | - | MID-TERM EXAM | - |
9 | Literature Review | Discrete random variables and probability distribution | Lecture & Problem Solving |
10 | Literature Review | Binomial distribution | Lecture & Problem Solving |
11 | Literature Review | Continuous random variables and probability distribution | Lecture & Problem Solving |
12 | Literature Review | Normal distribution | Lecture & Problem Solving |
13 | Literature Review | Sampling and Sampling Distributions | Lecture & Problem Solving |
14 | Literature Review | Estimate, Population | Lecture & Problem Solving |
15 | Literature Review | Single Population | Lecture & Problem Solving |
16 | - | FINAL EXAM | - |
17 | - | FINAL EXAM | - |
KAYNAKLAR |
---|
Gursakal, N. (2014). Cikarimsal Istatistik. Dora Publications. |
ÖLÇME VE DEĞERLENDİRME |
|||
---|---|---|---|
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 |
---|---|---|---|---|---|
0 | 1 | 2 | 3 | 4 | 5 |
KNOWLEDGE | |||||||
---|---|---|---|---|---|---|---|
Theoretical | |||||||
Program Yeterlilikleri/Çıktıları | Katkı Düzeyi | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Define concepts such as management, manager and leader.
|
3 | |||||
2 |
Analyze the accuracy, reliability and validity of the new information obtained from the data.
|
5 |
KNOWLEDGE | |||||||
---|---|---|---|---|---|---|---|
Factual | |||||||
Program Yeterlilikleri/Çıktıları | Katkı Düzeyi | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Report the obtained data.
|
5 | |||||
2 |
Prepare software and projects related with the field.
|
5 |
SKILLS | |||||||
---|---|---|---|---|---|---|---|
Cognitive | |||||||
Program Yeterlilikleri/Çıktıları | Katkı Düzeyi | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Use the appropriate resources for data analysis related with the field.
|
5 | |||||
2 |
Analyze the work processes.
|
5 |
SKILLS | |||||||
---|---|---|---|---|---|---|---|
Practical | |||||||
Program Yeterlilikleri/Çıktıları | Katkı Düzeyi | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Manage projects as part of a team.
|
5 | |||||
2 |
Apply the material, techniques and analyzes in relation with the subject for project and work flows.
|
5 |
OCCUPATIONAL | |||||||
---|---|---|---|---|---|---|---|
Autonomy & Responsibility | |||||||
Program Yeterlilikleri/Çıktıları | Katkı Düzeyi | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Fulfill responsibility with a focus on result in individual and team studies.
|
5 |
OCCUPATIONAL | |||||||
---|---|---|---|---|---|---|---|
Learning to Learn | |||||||
Program Yeterlilikleri/Çıktıları | Katkı Düzeyi | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Recognizes what he/she knows about his/her field or not.
|
5 | |||||
2 |
Act the theoretical knowledge in real life with learning to learn approach.
|
5 | |||||
3 |
Apply different methods and techniques with an innovative approach in his/her research.
|
5 |
OCCUPATIONAL | |||||||
---|---|---|---|---|---|---|---|
Communication & Social | |||||||
Program Yeterlilikleri/Çıktıları | Katkı Düzeyi | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Apply the results obtained in accordance with voluntarism and social responsibility projects.
|
5 | |||||
2 |
Establish a healthy contact with colleagues
|
3 | |||||
3 |
Share the analyzes and obtained results with colleagues.
|
5 | |||||
4 |
Cooperate with colleagues at international level with the help of foreign language competency.
|
5 |
OCCUPATIONAL | |||||||
---|---|---|---|---|---|---|---|
Occupational and/or Vocational | |||||||
Program Yeterlilikleri/Çıktıları | Katkı Düzeyi | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Behave in accordance with ethical values regarding the collection, analysis and reporting of data.
|
5 | |||||
2 |
Participate the design of work processes and systems with full quality.
|
5 | |||||
3 |
Cooperate with other employees for the continuation of sustainability in the profession.
|
5 |
DERSİN İŞ YÜKÜ VE AKTS KREDİSİ |
|||
---|---|---|---|
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 | 0 | 0 | 0 |
Assignment (Homework) | 13 | 1 | 13 |
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 | 7 | 5 | 35 |
Mid-Term Exam | 1 | 1 | 1 |
Preparation for the Mid-Term Exam | 6 | 6 | 36 |
Short Exam | 0 | 0 | 0 |
Preparation for the Short Exam | 0 | 0 | 0 |
TOTAL | 55 | 0 | 154 |
Genel Toplam | 154 | ||
Toplam İş Yükü / 25.5 | 6 | ||
Dersin AKTS(ECTS) Kredisi | 6,0 |