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| SBP2007 | Statistics in Planning | 2+2+0 | ECTS:4 | | Year / Semester | Fall Semester | | Level of Course | First Cycle | | Status | Compulsory | | Department | DEPARTMENT of URBAN and REGIONAL PLANNING | | Prerequisites and co-requisites | None | | Mode of Delivery | | | Contact Hours | 14 weeks - 2 hours of lectures and 2 hours of practicals per week | | Lecturer | Dr. Öğr. Üyesi Berna Sezen ÖZEN | | Co-Lecturer | Dr. Eda ÖZKUL | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | To provide students with information on the basic concepts of statistics, sampling, frequency distributions, data collection/generation techniques, data analysis and interpretation, identifying related variables in the data, hypothesis testing, and teaching students to perform statistical analyzes and models both theoretically and with the help of computer programs. |
| Learning Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | LO - 1 : | know the basics of statistics, read the statistical tables and graphs. | 12,16,18 | 1,4, | | LO - 2 : | compile the data and make it usable. | 12,16,18 | 1,3,4, | | LO - 3 : | interpret any kind of official statistics. | 12,16,18 | 1,4, | | LO - 4 : | choose the appropriate statistical analysis method for a research. | 12,16,18 | 1,4, | | LO - 5 : | construct statistical models, present the results in several ways | 12,16,18 | 1,4, | | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), LO : Learning Outcome | | |
| Basic concepts of statistics, data collection techniques, measures of central tendency and variability, sampling types, introduction to hypothesis testing, chi-square tests for independence and homogeneity, correlation analysis, regression analysis |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Basic concepts in statistics, general information about SPSS | | | Week 2 | Variables, measurement levels, scale types, variables in SPSS, data entry in SPSS, useful SPSS features | | | Week 3 | Data collection techniques, preparation of the scale, data entry in SPSS, useful SPSS features | | | Week 4 | Sampling, sample selection, statistical series, cumulative series, time series, spatial series, recoding of data in SPSS, use of variable sets | | | Week 5 | Graphical analysis of statistical series and data scanning and cleaning, descriptive statistics and graphs (graph types appropriate to the scale types) in SPSS | | | Week 6 | Graphical analysis of statistical series and creating descriptive statistics and population pyramids in SPSS | | | Week 7 | Measures of central tendency and dispersion, distributions and hypothesis tests, graphs and normality tests in SPSS | | | Week 8 | Measures of central tendency and dispersion, distributions and hypothesis tests, graphs and normality tests in SPSS | | | Week 9 | Midterm exam | | | Week 10 | Compare means and application of related tests in SPSS | | | Week 11 | Chi-square tests for independence and homogeneity, application of chi-square tests in SPSS | | | Week 12 | Correlation analysis, application of correlation analysis in SPSS | | | Week 13 | Simple linear regression analysis, application of simple linear regression analysis in SPSS | | | Week 14 | Curve estimations and making curve estimations, choosing the appropriate method, population estimations in SPSS | | | Week 15 | General evaluation of previous weeks and applications in SPSS, Assignment submission | | | Week 16 | Final exam | | | |
| 1 | Köklü, N., Büyüköztürk, Ş., Bökeoğlu, Ö. Ç. 2006; Sosyal Bilimler İçin İstatistik, Pegem Yayıncılık, Ankara. | | | |
| 1 | Aydemir, Ş. 1989; Planlama Teknikleri Ders Notu, KTÜ, Trabzon. | | | 2 | Çubukçu, K. M. 2015; Planlamada ve Coğrafyada Temel İstatistik ve Mekansal İstatistik, Nobel Yayıncılık, Ankara. | | | 3 | Pallant, J. 2017; SPSS Kullanma Kılavuzu (2 b.), (Çev.: Sibel Balcı & Berat Ahi), Anı Yayıncılık, Ankara. | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | 28/11/2023 | 1,5 | 30 | | Homework/Assignment/Term-paper | 15 | 09/01/2024 | 2 | 20 | | End-of-term exam | 16 | 16/01/2024 | 1,5 | 50 | | |
| Student Work Load and its Distribution | | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | | Yüz yüze eğitim | 4 | 14 | 56 | | Sınıf dışı çalışma | 3 | 14 | 42 | | Laboratuar çalışması | 0 | 0 | 0 | | Arasınav için hazırlık | 5 | 1 | 5 | | Arasınav | 1 | 1 | 1 | | Uygulama | 0 | 0 | 0 | | Klinik Uygulama | 0 | 0 | 0 | | Ödev | 2 | 1 | 2 | | Proje | 0 | 0 | 0 | | Kısa sınav | 0 | 0 | 0 | | Dönem sonu sınavı için hazırlık | 8 | 1 | 8 | | Dönem sonu sınavı | 1 | 1 | 1 | | Diğer 1 | 0 | 0 | 0 | | Diğer 2 | 0 | 0 | 0 | | Total work load | | | 115 |
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