Nevşehir Hacı Bektaş Veli University Course Catalogue
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| Year/Semester of Study | 2 / Fall Semester | ||||
| Level of Course | 1st Cycle Degree Programme | ||||
| Type of Course | Compulsory | ||||
| Department | BANKING AND FINANCE | ||||
| Pre-requisities and Co-requisites | None | ||||
| Mode of Delivery | Face to Face | ||||
| Teaching Period | 14 Weeks | ||||
| Name of Lecturer | EBRUCAN İSLAMOĞLU (ebrucanislamoglu@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 effective use statistical methods |
PO-13 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. PO-20 Have lifelong learning behavior, high communication skills, initiative, the ability of analytical and critical thinking and solving the problem and tend to teamwork and to able to use Turkish and Professional foreign language in written and oral communication to own expression and represent institutions |
Examination |
| LO-2 | Can use statistical analysis techniques in social research |
PO-19 Uses contemporary methods and technologies of business administration, especially information technologies and analytical thinking. PO-23 Develops his/her skills in art and sports. |
Examination |
| LO-3 | Can develop model and hypothesis |
PO-9 Analyze and design at the organizational level, understand the functions of business management that are planning, organizing, execution, coordination and control, describe and apply them, and be acknowledged about modern management techniques PO-21 Use research methods and techniques for doing scientific research. |
Examination |
| LO-4 | Can estimate sampling |
PO-6 Have the necessary knowledge about financial / banking products and services and marketing of these products and services. PO-19 Uses contemporary methods and technologies of business administration, especially information technologies and analytical thinking. |
Examination |
| PO: Programme Outcomes MME:Method of measurement & Evaluation |
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| Course Contents | ||
| What is Statistics, Introduction to Basic Terms, Measurability and Variability, Data Collection, Graphs , Measures of Central Tendency, Measures of Dispersion, Probability, Discrete and Continuous Random Variables, Discrete andContinuous Probability Distributions,Survey Sampling, Sampling and Sampling Distributions, Point Estimation, ?nterval Estimation, Hypothesis Testing, Linear Correlation and Regression Analysis, Indexses | ||
| Weekly Course Content | ||
| Week | Subject | Learning Activities and Teaching Methods |
| 1 | What is Statistics, Introduction to Basic Terms, Measurability and Variability | lecturing and problem solving |
| 2 | Data Collection, Graphs | lecturing and problem solving |
| 3 | Measures of Central Tendency | lecturing and problem solving |
| 4 | Measures of Dispersion | lecturing and problem solving |
| 5 | Probability ( What is Probability, Mutually exlucive events etc.) | lecturing and problem solving |
| 6 | Probability (Multiplication Rule, Sum of the Probabilities, Permutations, Kombinations, Bayes’Theorem) | lecturing and problem solving |
| 7 | Discrete Random Variables | lecturing and problem solving |
| 8 | mid-term exam | |
| 9 | Continuous Random Variables | lecturing and problem solving |
| 10 | Discrete Probability Distributions ( Uniform, Bernoulli, Binomial, Geometric) | lecturing and problem solving |
| 11 | Discrete Probability Distributions ( Uniform, Bernoulli, Binomial, Geometric) | lecturing and problem solving |
| 12 | Cotinuous Probability Distributions (Uniform, Explonantial, Normal, Standart Normal ) | lecturing and problem solving |
| 13 | Cotinuous Probability Distributions (Uniform, Explonantial, Normal, Standart Normal ) | lecturing and problem solving |
| 14 | Discrete Random Variables (Two Variables) | lecturing and problem solving |
| 15 | Continuous Random Variables (Two Variables ) | lecturing and problem solving |
| 16 | final exam | |
| Recommend Course Book / Supplementary Book/Reading | ||
| 1 | Özer Serper, Uygulamalı İstatistik 1-2, Bursa: Ezgi Kitabevi, 2004 | |
| 2 | Murray R. Spiegel/ Larry J. Stephens, İstatistik, (Çevirenler: Alptekin ESİN ve Salih ÇELEBİOĞLU), Ankara: Nobel Yayın Dağıtım, 2003 | |
| 3 | Seda Şengül ve Gülsen Kral (Eds.), İstatistik, İstanbul: Lisans Yayıncılık, 2010 | |
| 4 | Hülya Tütek ve Şevkinaz Gümüşoğlu, İşletme İstatistiği, İstanbul: Beta Basım Yayım, 2011 | |
| Required Course instruments and materials | ||
| 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 | |||
| 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 | 3 | 10 | 30 |
| b) Search in internet/Library | 1 | 8 | 8 |
| c) Performance Project | 0 | ||
| 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 | 5 | 8 | 40 |
| mid-term exam | 1 | 1 | 1 |
| Own study for final exam | 5 | 8 | 40 |
| final exam | 1 | 1 | 1 |
| 0 | |||
| 0 | |||
| Total work load; | 162 | ||