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Information
| Unit | INSTITUTE OF SOCIAL SCIENCES |
| BUSINESS ADMINISTRATION AND TECHNOLOGY MANAGEMENT (MASTER) (WITHOUT THESIS) (EVE | |
| Code | MG28709 |
| Name | Statistical Data Analysis |
| Term | 2018-2019 Academic Year |
| Term | Fall |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Belirsiz |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Doç. Dr. MERT DEMİRCİOĞLU |
| Course Instructor |
The current term course schedule has not been prepared yet.
|
Course Goal / Objective
This course aims to help students analyze statistical data used in daily business life and help them to learn how to use the statistical analysis methods to interpret the results by using useful computer applications.
Course Content
This course is an applied statistics course focusing on data analysis. The course will begin with an overview of how to organize, perform, and write-up data analyses. Also, performing statistical analysis by using a statistical program is another content matter.
Course Precondition
Resources
Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Uses statistical package program to analyse data |
| LO02 | Learns how to organize data and how to enter this data into the statistical program. |
| LO03 | Carries out analyses by using descriptive statistics and frequency tables. |
| LO04 | Learns how to carry out one way variance analysis, |
| LO05 | Learns how to carry out regression and correlation analysis. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | - | The ability to list, describe and explain the relationship between the terms which belong to production management and numerical methods | |
| PLO02 | - | The ability to list,describe the basic theoretical models of business administration, and explain the aim of usage of the models; indicate the strenghts and weaknesses parts of each model and/or methods | |
| PLO03 | - | The ability to explain the information related to operations management and numerical methods and to interpret and appply the information to different circumstances | |
| PLO04 | - | The ability to explain how to create the basic theoretical models of business and new management in literature and how to implement numarical and statistics methods | |
| PLO05 | - | The ability to determine proper methods for solving problems | |
| PLO06 | - | The ability to apply the basic steps of business administration. | |
| PLO07 | - | The ability to take responsibility as an indivicual and/or as a part of a team, can lead and work effectively. | |
| PLO08 | - | In recognition of the need for lifelong learning and continuous self-renewal tracking the latest developments in his/her field. | |
| PLO09 | - | The ability to use of different sources under the rules of the academic, synthesize the information obtained in a new field of business administration and present effectively | |
| PLO10 | - | The ability to practice and evaluate methods if it is needed, to develop and implement new ways of working. | |
| PLO11 | - | The abiliity to research on the science of business administration, to form the basis for the decision-making process. | |
| PLO12 | - | The ability to determine the business manaement approaches, application and methods which are appropriate for the business’s sector, growth, resources, culture, goals and aims. | |
| PLO13 | - | The ability to consider social, scientific and ethical values in the process of data collection, interpretation and announcement of the findings. |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Basic Statistical Information: mean, median | Reading the given materials | |
| 2 | Basic Statistical Information | Reading the given materials | |
| 3 | Drawing graphic and organizing table. Types of graphics and tables | Reading the given materials | |
| 4 | Sample and data types. | Reading the given materials | |
| 5 | Data types | Reading the given materials | |
| 6 | Probability distributions (normal, binom, poisson) | Reading the given materials | |
| 7 | Probability distributions | Reading the given materials | |
| 8 | Mid-Term Exam | Exam preparation | |
| 9 | Hypothesis tests | Reading the given materials | |
| 10 | Hypothesis tests | Reading the given materials | |
| 11 | Casual Forecasting Methods | Reading the given materials | |
| 12 | Regression analysis | Reading the given materials | |
| 13 | Multiple Regression Analysis, Correlation Analysis. | Reading the given materials | |
| 14 | Decision Theory | Reading the given materials | |
| 15 | Simulation | Reading the given materials | |
| 16 | Term Exams | Exam preparation | |
| 17 | Term Exams | Exam preparation |