ECTS - Quantitative Applications in Business
Quantitative Applications in Business (MAN122) Course Detail
| Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| Quantitative Applications in Business | MAN122 | 2. Semester | 3 | 0 | 0 | 3 | 5.5 |
| Pre-requisite Course(s) |
|---|
| N/A |
| Course Language | English |
|---|---|
| Course Type | Service Courses Taken From Other Departments |
| Course Level | Bachelor’s Degree (First Cycle) |
| Mode of Delivery | Face To Face |
| Learning and Teaching Strategies | Lecture, Demonstration, Question and Answer, Drill and Practice, Problem Solving. |
| Course Lecturer(s) |
|
| Course Objectives | This course helps the managers to solve the problems they may meet, by using statistical methods. The aim of the lesson is to gather and arrange the statistical data, analyzing and commenting them. |
| Course Learning Outcomes |
The students who succeeded in this course;
|
| Course Content | Statistical data; application of various numerical methods and ways in business sector. |
Weekly Subjects and Releated Preparation Studies
| Week | Subjects | Preparation |
|---|---|---|
| 1 | Applications in Business and Economics, data, variables, Classification of Variables | Newbold Ch.1 |
| 2 | Using Graphs to Describe Data | Newbold Ch.1 |
| 3 | Using Numerical Measures to Describe Data | Newbold Ch.2 |
| 4 | Excel applications of descriptive statistics | |
| 5 | Quiz | |
| 6 | Elements of Chance: Probability Methods | Newbold Ch.3 |
| 7 | Discrete Probability Distributions | Newbold Ch.4 |
| 8 | Continuous Probability Distributions | Newbold Ch.5 |
| 9 | Mid-term exam | |
| 10 | Distributions of Sample Statistics | Newbold Ch.6 |
| 11 | Confidence Interval Estimation: One Population | Newbold Ch.7 |
| 12 | Two Population Hypothesis Tests | Newbold Ch.10 |
| 13 | Hypothesis Tests of a Single Population | Newbold Ch.9 |
| 14 | Regression Analysis | Newbold Ch.11 |
| 15 | Excel applications of hypothesis testing and regression | |
| 16 | Final exam |
Sources
| Course Book | 1. Paul Newbold, William L. Carlson and Betty Thorne, Statistics for Business and Economics, Pearson Education |
|---|---|
| Other Sources | 2. Thomas K. Tiemann, Introductory Business Statistics |
| 3. Marcelo Fernandes, Statistics for Business and Economics | |
| 4. İsmail Hakkı Armutlulu, Işletme istatistiğine giriş | |
| 5. İsmail Hakkı Armutlulu, İşletmelerde Uygulamalı istatistik | |
| 6. Necmi Gürsakal, İstatistik 1-2 | |
| 7. Fahamet Akın, Sosyal Bilimlerde istatistik |
Evaluation System
| Requirements | Number | Percentage of Grade |
|---|---|---|
| Attendance/Participation | - | - |
| Laboratory | - | - |
| Application | - | - |
| Field Work | - | - |
| Special Course Internship | - | - |
| Quizzes/Studio Critics | 1 | 10 |
| Homework Assignments | 1 | 10 |
| Presentation | - | - |
| Project | - | - |
| Report | - | - |
| Seminar | - | - |
| Midterms Exams/Midterms Jury | 1 | 40 |
| Final Exam/Final Jury | 1 | 40 |
| Toplam | 4 | 100 |
| Percentage of Semester Work | 60 |
|---|---|
| Percentage of Final Work | 40 |
| Total | 100 |
Course Category
| Core Courses | X |
|---|---|
| Major Area Courses | |
| Supportive Courses | |
| Media and Managment Skills Courses | |
| Transferable Skill Courses |
The Relation Between Course Learning Competencies and Program Qualifications
| # | Program Qualifications / Competencies | Level of Contribution | ||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| 1 | The ability to have and use theoretical and practical information in international trade and logistics | X | ||||
| 2 | The ability to define problems, as well as to collect, evaluate, analyze, and interpret data, and to devise solutions, making use of the information, skills, and competencies in the field | X | ||||
| 3 | The ability to perform numerical analyses and research through accessing different resources of information in the field | X | ||||
| 4 | The ability to take part in intra- and interdisciplinary, or multi-cultural working groups, as well as work individually | X | ||||
| 5 | The ability to communicate verbally and in writing in English, and to make use of at least 1 foreign language | X | ||||
| 6 | The ability to act responsibly, and with the awareness in the issues of environmental sensitivity, sustainability, transparency, social responsibility, and ethical values | X | ||||
| 7 | The ability to read, understand, and interpret the relevant legislation in the field of international trade and logistics, and to see the global, and social effects of practices | X | ||||
| 8 | The ability to question and interpret the acquired interdisciplinary pieces of information within the framework of the current economic, social, and environmental conjuncture | X | ||||
| 9 | The ability to stay up to date regarding the local, regional, and global changes in the international trade and logistics, and the supply chain sector; and relevant through improvements on professional competencies and backgrounds, and to devise quick and effective solutions to possible problems through an innovative approach | X | ||||
| 10 | The ability to track national and international regulations in international trade and logistics, to learn logistic procedures and risk management, to use current instruments of technology and informatics, to analyze and improve processes, to devise new ideas and suggestions, to manage activities for change, and to report and document these processes | |||||
| 11 | - | |||||
ECTS/Workload Table
| Activities | Number | Duration (Hours) | Total Workload |
|---|---|---|---|
| Course Hours (Including Exam Week: 16 x Total Hours) | 16 | 3 | 48 |
| Laboratory | |||
| Application | |||
| Special Course Internship | |||
| Field Work | |||
| Study Hours Out of Class | |||
| Presentation/Seminar Prepration | |||
| Project | |||
| Report | |||
| Homework Assignments | 1 | 15 | 15 |
| Quizzes/Studio Critics | 1 | 15 | 15 |
| Prepration of Midterm Exams/Midterm Jury | 1 | 30 | 30 |
| Prepration of Final Exams/Final Jury | 1 | 30 | 30 |
| Total Workload | 138 | ||