Nevşehir Hacı Bektaş Veli University Course Catalogue
|
|||||
| Year/Semester of Study | 2 / Spring Semester | ||||
| Level of Course | 1st Cycle Degree Programme | ||||
| Type of Course | Compulsory | ||||
| Department | INTERNATIONAL RELATIONS | ||||
| Pre-requisities and Co-requisites | None | ||||
| Mode of Delivery | Face to Face | ||||
| Teaching Period | 14 Weeks | ||||
| Name of Lecturer | AYLİN ALKAYA (aylin@nevsehir.edu.tr) | ||||
| Name of Lecturer(s) | |||||
| Language of Instruction | Turkish | ||||
| Work Placement(s) | None | ||||
| Objectives of the Course | |||||
| The main objectives of this lesson are understanding of statistics terms and their application facilities;composing of numerical data ,deciding in an uncertainty circumstance and interpreting them in a logical way, determining which data analysis techniques should be used in certain conditions and revealing why and how are these techniques are used | |||||
| Learning Outcomes | PO | MME | |
| The students who succeeded in this course: | |||
| LO-1 | Can use and apply the measures of central tendency and variation |
PO-1 To be able to explain the concepts/theories of International Relations. PO-17 become skilful at maths, econometrics and statistics, making more effective decisions with econometric and statistical analysis. Furthermore, they are capable of predicting the outcomes of these decisions and interpreting the cause and effect relation. |
Examination |
| LO-2 | Can use statistical analysis techniques in social research. |
PO-13 To be able to abide by social, scientific, cultural, and ethical values regarding the collection, interpretation and propagation of data related to international relations. PO-17 become skilful at maths, econometrics and statistics, making more effective decisions with econometric and statistical analysis. Furthermore, they are capable of predicting the outcomes of these decisions and interpreting the cause and effect relation. |
Examination Performance Project |
| LO-3 | Learns the application of statistics to their study field. |
PO-10 To be able to follow the developments and the information in the field. PO-17 become skilful at maths, econometrics and statistics, making more effective decisions with econometric and statistical analysis. Furthermore, they are capable of predicting the outcomes of these decisions and interpreting the cause and effect relation. |
Examination Performance Project |
| PO: Programme Outcomes MME:Method of measurement & Evaluation |
|||
| Course Contents | ||
| Data Collection and Measurement Tools in Social Sciences, Statistics, Probability, Discrete and Continuous Random Variables, Probability Distributions, Central Dispersion and Dispersion Measurements, Sampling and Sampling Distributions, Statistical Series and Graphical Methods in Data Presentation Probability, Sampling, Statistical Estimation, Hypothesis Testing, Hypothesis Testing and Interpretation. | ||
| Weekly Course Content | ||
| Week | Subject | Learning Activities and Teaching Methods |
| 1 | Introduction to statistics, basic concepts, definition of statistic. variables, measurment levels | lecturing and problem solving |
| 2 | Gathering data, classifying, graphical representations, frequency distributions, pie nd bar charts, time series charts, scatter diagrams, histograms, frequency poligons. | lecturing and problem solving |
| 3 | Measures of central tendency: mean, mod, median Aritmethic mean, geometric mean, harmonic mean | lecturing and problem solving |
| 4 | Variablity measures: variation interval, variance, standard deviation | lecturing and problem solving |
| 5 | Variablity measures: variation interval, variance, standard deviation | lecturing and problem solving |
| 6 | Probability | lecturing and problem solving |
| 7 | Probability | lecturing and problem solving |
| 8 | mid-term exam | |
| 9 | Sampling and Sampling Distributions | lecturing and problem solving |
| 10 | Estimation: Point Estimation, İnterval Estimation (Confidince Interval) | lecturing and problem solving |
| 11 | Hypothesis Testing (one Sample) | lecturing and problem solving |
| 12 | Hypothesis Testing (Two Samples) | lecturing and problem solving |
| 13 | Chi-square ;Analysis | lecturing and problem solving |
| 14 | Variance Analysis | lecturing and problem solving |
| 15 | Course Evaluation | lecturing and problem solving |
| 16 | final exam | |
| Recommend Course Book / Supplementary Book/Reading | ||
| 1 | İstatistik, Metin Çakıcı, Adil Oğuzhan, Tuncer Özdil, Ekin Basım Yayın, İstanbul, 2015. | |
| 2 | İstatistik, Celal Aydın, Nobel Akademik Yayıncılık, Ankara, 2012. | |
| Required Course instruments and materials | ||
| Reference books, Course Notes, Projector | ||
| Assessment Methods | |||
| Type of Assessment | Week | Hours | Weight(%) |
| mid-term exam | 8 | 1 | 40 |
| Other assessment methods | |||
| 1.Oral Examination | |||
| 2.Quiz | |||
| 3.Laboratory exam | |||
| 4.Presentation | |||
| 5.Report | |||
| 6.Workshop | |||
| 7.Performance Project | 10 | 1 | 5 |
| 8.Term Paper | |||
| 9.Project | |||
| final exam | 16 | 1 | 60 |
| Student Work Load | |||
| Type of Work | Weekly Hours | Number of Weeks | Work Load |
| Weekly Course Hours (Theoretical+Practice) | 3 | 14 | 42 |
| Outside Class | |||
| a) Reading | 1 | 14 | 14 |
| b) Search in internet/Library | 1 | 14 | 14 |
| c) Performance Project | 3 | 7 | 21 |
| d) Prepare a workshop/Presentation/Report | 0 | ||
| e) Term paper/Project | 0 | ||
| Oral Examination | 0 | ||
| Quiz | 0 | ||
| Laboratory exam | 0 | ||
| Own study for mid-term exam | 1 | 7 | 7 |
| mid-term exam | 3 | 1 | 3 |
| Own study for final exam | 3 | 6 | 18 |
| final exam | 1 | 1 | 1 |
| 0 | |||
| 0 | |||
| Total work load; | 120 | ||