| LOGISTIC MANAGEMENT | |||||
| Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 | ||
| Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
| ECO2061 | Statistics | Fall | 3 | 0 | 3 | 6 |
| The course opens with the approval of the Department at the beginning of each semester |
| Language of instruction: | En |
| Type of course: | Must Course |
| Course Level: | Bachelor |
| Mode of Delivery: | Hybrid |
| Course Coordinator : | Dr. Öğr. Üyesi BAHAR KÖSEOĞLU |
| Course Lecturer(s): |
Dr. Öğr. Üyesi AYSE ERTUĞRUL BAYKAN Prof. Dr. NECİP ÇAKIR Assoc. Prof. ÇAĞLAR YURTSEVEN Prof. Dr. SELİM ZAİM |
| Course Objectives: | To apply and interpret the results of a variety of statistical techniques from both descriptive and inferential statistics; to understand the fundamental concepts in statistics |
|
The students who have succeeded in this course; At the end of the course, you will be able to: 1. classify data read and interpret data 2. calculate and visualize descriptive statistics using Excel and interpret these summary measures 3. understand basics about probability 4. define random variables and basics about probability distribution of these random variables 5. use tools in Excel related with probability and probability distribution functions |
| Introduction and Data Collection Presenting Data in Tables And Charts (Organizing Categorical Data) Presenting Data in Tables And Charts (Frequency Distribution) Presenting Data in Tables And Charts (Organizing Numerical Data) Numerical Descriptive Measures (Measures of Central Tendency) Numerical Descriptive Measures (Measures of Variation) Numerical Descriptive Measures (Z-Score and Shape of a Distribution) Basic Probability (Basic Probability Concepts) Basic Probability (Basic Probability Concepts, Simple and Joint Probabilities) Basic Probability (Conditional Probabilities) Discrete Probability Distributions (Basic Concepts and Expected Value) Discrete Probability Distributions (Binomial and Poisson Distributions) Continuous Distributions (Normal Distribution) Continuous Distributions (Uniform Distributions and Exponential Distribuitons) |
| Week | Subject | Related Preparation | |
| 1) | Introduction and Data Collection | ||
| 2) | USING GRAPHS TO DESCRIBE DATA | ||
| 3) | USING NUMERICAL MEASURES TO DESCRIBE DATA | ||
| 4) | USING NUMERICAL MEASURES TO DESCRIBE DATA • Measure of variation • Measure of shape Locating Extreme outliers: Z-score | ||
| 5) | USING NUMERICAL MEASURES TO DESCRIBE DATA (covariation) | ||
| 6) | USING NUMERICAL MEASURES TO DESCRIBE DATA _Excel application | ||
| 7) | ELEMENTS OF CHANCE: PROBABILITY METHODS | ||
| 8) | ELEMENTS OF CHANCE: PROBABILITY METHODS | ||
| 9) | ELEMENTS OF CHANCE: PROBABILITY METHODS | ||
| 10) | DISCRETE PROBABILITY DISTRIBUTIONS | ||
| 11) | DISCRETE PROBABILITY DISTRIBUTIONS | ||
| 12) | CONTINUOUS PROBABILITY DISTRIBUTIONS | ||
| 13) | CONTINUOUS PROBABILITY DISTRIBUTIONS | ||
| 14) | JOINT PROBABILITY DISTRIBUTIONS | ||
| Course Notes: | • Statistics for Business and Economics, Paul Newbold, William L. Carlson and Betty Thorne, 9th Edition, Pearson. (NCT) |
| References: | • Statistics for Business and Economics, Paul Newbold, William L. Carlson and Betty Thorne, 9th Edition, Pearson. (NCT) |
| Semester Requirements | Number of Activities | Level of Contribution |
| Attendance | 0 | % 0 |
| Laboratory | 0 | % 0 |
| Application | 0 | % 0 |
| Field Work | 0 | % 0 |
| Special Course Internship (Work Placement) | 0 | % 0 |
| Quizzes | 5 | % 40 |
| Homework Assignments | % 0 | |
| Presentation | 0 | % 0 |
| Project | 0 | % 0 |
| Seminar | 0 | % 0 |
| Midterms | % 0 | |
| Preliminary Jury | 0 | % 0 |
| Final | 1 | % 60 |
| Paper Submission | 0 | % 0 |
| Jury | 0 | % 0 |
| Bütünleme | % 0 | |
| Total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 40 | |
| PERCENTAGE OF FINAL WORK | % 60 | |
| Total | % 100 | |
| Activities | Number of Activities | Duration (Hours) | Workload |
| Course Hours | 16 | 3 | 48 |
| Laboratory | 0 | 0 | 0 |
| Application | 0 | 0 | 0 |
| Special Course Internship (Work Placement) | 0 | 0 | 0 |
| Field Work | 0 | 0 | 0 |
| Study Hours Out of Class | 14 | 7 | 98 |
| Presentations / Seminar | 0 | 0 | 0 |
| Project | 0 | 0 | 0 |
| Homework Assignments | 0 | 0 | 0 |
| Quizzes | 3 | 1 | 3 |
| Preliminary Jury | 0 | 0 | 0 |
| Midterms | 0 | 0 | 0 |
| Paper Submission | 0 | 0 | 0 |
| Jury | 0 | 0 | 0 |
| Final | 1 | 2 | 2 |
| Total Workload | 151 | ||
| No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | To correctly identify the problems and to be able to ask the correct questions | |
| 2) | To have the ability for problem solving and to utilize analytical approach in dealing with the problems | |
| 3) | To be able to identify business processes and use them to increase the productivity in logistics system. | |
| 4) | To be fully prepared for a graduate study | 4 |
| 5) | Awareness of the new advancements in Information and Communications Technologies (ICT) and to be able to use them in logistics management effectively. internet and the electronic world | |
| 6) | To understand the components of logistics as well as the importance of the coordination among these components. | |
| 7) | To know the necessary ingredients for improving the productivity in business life | |
| 8) | To think innovatively and creatively in complex situations | |
| 9) | To act and think both regionally and internationally | |
| 10) | To understand the demands and particular questions of globalization | |
| 11) | Aware of the two way interaction between globalization and logistics; as well as to use this interaction for increasing the productivity. | |
| 12) | To be able to use at least one foreign language both for communication and academic purposes | |
| 13) | To acquire leadership qualities but also to know how to be a team member | |
| 14) | To understand the importance of business ethics and to apply business ethics as a principal guide in both business and academic environment |