Statıstıcs and İnformatic Analysıs(SOC271)
| Course Code | Course Name | Semester | Theory | Practice | Lab | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| SOC271 | Statıstıcs and İnformatic Analysıs | 3 | 3 | 0 | 0 | 3 | 5 |
| Prerequisites | |
| Admission Requirements |
| Language of Instruction | French |
| Course Type | Compulsory |
| Course Level | Bachelor Degree |
| Course Instructor(s) | Ünal Halit ÖZDEN uhozden@gmail.com (Email) |
| Assistant | |
| Objective |
Course objective is to give to the student the basic knowledge about, 1) Descriptive statistics (representation of datas, charts, measures of central tendency and dispersion). 2) Probability and probability laws (law of sum and product of probabilities, conditional probability) 3) Theoretical probability distributions for discret and continuous random variables (binomial, Poisson, hypergeometric, Gaussian and Student (t) probability distributions). 4) Statistical inference and estimation theory (estimation of a mean, a proportion, estimation by confidence inteval). 5) Sampling, the methods of sampling and data collection as well as the size of the sample to be used for the research project. |
| Content |
1) Introduction to statistics, steps of a research project, organization of datas and data analysis. 2) Organization of datas and data analysis, frequency distribution. 3) Graphic representation of frequency distributions. 4) Descriptive measures of central tendancy and dispersion of distributions. 5) Probability and laws of probability. 6) Elementary laws of probability for discrete variables. 7) Elementary laws of probability for continuous variables. 8) Sample and population. Methods used in data collection and sampling. 9) Sampling and statistical inference (Estimation of a mean and proportion) 10) Determination of the sample size. |
| Course Learning Outcomes |
At the end of the course, the studient will : 1) Get the basic knowledge and technics of data analysis and graphical representation of datas. 2) Calculate the probability of different events using appropriate probability laws and distributions. 3) Display obviously the logic and signification of statistical measures and methods. 4) Master the statistical tools in social sciences identifying principal caracteristics, words and key concepts of data analysis and statistical inference. 5) Determine the methods of data collection and size of the sample for the research project. |
| Teaching and Learning Methods |
The course consist of passing on the student the theoretical concepts with exemples, as well as solving problems in the class related to subjects considered. The graphical representation of datas and probability calculation with the use of adds-in functions of Excel will be executed when necessary. On the other hand, the student will be informed about the use of distribution tables needed to calculate probabilities. Also, the student will be given necessary readings and typical problems to solve every week in the class. In addition, a follow up of students with the support of exemples supplied and homeworks to prepare. |
| References |
Calot, Gérard, Cours de Statistique Descriptive, Dunod, Paris Daniel Wayne W. & Terrell James C., Business Statistics, 5. edition, Houghton Miflin, USA. Newbold, Paul, Statistics for Business and Economics, Pearsons Education Newbold, Paul, İşletme ve İktisat için İstatistik, Çeviren Ümit Şenesen, Literatür Yayıncılık Orhunbilge, Prof. Dr. Neyran, Tanımsal İstatistik, Olasılık ve Olasılık Dağılımları, İ.Ü.İşletme Fak. Yayınları Avcıol Basım Yayın, İstanbul 2000 Orhunbilge, Prof. Dr. Neyran, Örnekleme Yöntemleri ve Hipotez Testleri, İ.Ü.İşletme Fak. Yayınları Avcıol Basım Yayın, 2. Baskı, İstanbul 2000. Baille, Alain et Van Kutsem, Philippe. Méthodes et modèles en statistique non-paramétrique. Dunod, Paris, 1988. Blum, Alain. Mathématiques et statistique appliqués aux sciences sociales. Bordas, Paris, 1991. Çakır, Filiz, Sosyal Bilimlerde İstatistik, Alfa Yayınları, 2000 Grais, Bernard. Exercices corrigés de statistique descriptive. Dunod, Paris, 1991. Jaffard, Paul. Initiation aux méthodes de la Statistique et du calcul de probabilité. Masson, Paris, 1996. Rouanet, Henry, Bernard, Jean-Marc et Le Roux, Brigtitte. Analyse de données - Statistique en Sciences Humaines. Dunod, Paris. 1990. |
Theory Topics
| Week | Weekly Contents |
|---|---|
| 1 | Introduction to statistics, steps of a research project, organization of datas and data analysis. |
| 2 | Organization of datas and data analysis, frequency distribution. |
| 3 | Graphic representation of frequency distributions. |
| 4 | Descriptive measures of central tendancy and dispersion of distributions. |
| 5 | Descriptive measures of central tendancy and dispersion of distributions. |
| 6 | Probability and laws of probability. |
| 7 | Elementary laws of probability for discrete variables. |
| 8 | Elementary laws of probability for continuous variables. |
| 9 | Elementary laws of probability for continuous variables. |
| 10 | Mid-term Exam. |
| 11 | Sample and population. Methods used in data collection and sampling. |
| 12 | Sampling and statistical inference (Estimation of a mean and proportion) |
| 13 | Sampling and statistical inference (Estimation of a mean and proportion) |
| 14 | Determination of the sample size. |
Practice Topics
| Week | Weekly Contents |
|---|
Contribution to Overall Grade
| Number | Contribution | |
|---|---|---|
| Contribution of in-term studies to overall grade | 2 | 50 |
| Contribution of final exam to overall grade | 1 | 50 |
| Toplam | 3 | 100 |
In-Term Studies
| Number | Contribution | |
|---|---|---|
| Assignments | 1 | 15 |
| Presentation | 0 | 0 |
| Midterm Examinations (including preparation) | 1 | 35 |
| Project | 0 | 0 |
| Laboratory | 0 | 0 |
| Other Applications | 0 | 0 |
| Quiz | 0 | 0 |
| Term Paper/ Project | 0 | 0 |
| Portfolio Study | 0 | 0 |
| Reports | 0 | 0 |
| Learning Diary | 0 | 0 |
| Thesis/ Project | 0 | 0 |
| Seminar | 0 | 0 |
| Other | 0 | 0 |
| Toplam | 2 | 50 |
| No | Program Learning Outcomes | Contribution | ||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| 1 | The student will be able to recognize and assess the essential theoretical perspectives both in sociology and its related domains. | |||||
| 2 | The student will be able to make use of the major theoretical analyses and sociological concepts in his/her own research topics. | |||||
| 3 | The student will be able to articulate sociological perspective and reasoning with social and historical facts, and to interpret social and historical issues with a sociological eye. | |||||
| 4 | The student will be able to assess the current state of research and knowledge on the classical and contemporary domains of sociological inquiry as well as its relevant fields. | |||||
| 5 | The student will be able to design and conduct a sociological research with appropriate theoretical construction and empirical methods. | |||||
| 6 | The student will be able to produce a written research report that relates research questions to empirical findings. | |||||
| 7 | The student will be able to appropriately use both quantitative and qualitative methodologies. | |||||
| 8 | The student will be able to make appropriate use of statistical software programs for data processing and analysis. | |||||
| 9 | The student will be able to make appropriate use of statistical software programs for data processing and analysis. | |||||
| 10 | Graduates will be able to follow the scientific production both in English and French as well as Turkish. | |||||
| 11 | Graduates will be able to develop a comparative and interdisciplinary approach which will integrate sociology within a broader social science perspective. | |||||
| 12 | Graduates will be able to interpret the history and modernization of Turkey through its sociological consequences. | |||||
| 13 | The student will be able to intervene to social and political processes in order to propose possible solutions to the problems caused by social inequalities and discriminations. | |||||
| 14 | The student will be able to develop a reflexive point of view on his/her position as a a sociologist as well as a researcher. | |||||
| Activities | Number | Period | Total Workload |
|---|---|---|---|
| Class Hours | 14 | 2 | 28 |
| Working Hours out of Class | 7 | 3 | 21 |
| Assignments | 1 | 3 | 3 |
| Midterm Examinations (including preparation) | 1 | 10 | 10 |
| Final Examinations (including preparation) | 1 | 22 | 22 |
| Total Workload | 84 | ||
| Total Workload / 25 | 3,36 | ||
| Credits ECTS | 3 | ||