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 |
EEE5022 | Applied Statistics | Spring | 3 | 0 | 3 | 9 |
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester. |
Language of instruction: | English |
Type of course: | Non-Departmental Elective |
Course Level: | Bachelor’s Degree (First Cycle) |
Mode of Delivery: | Face to face |
Course Coordinator : | Assoc. Prof. SAEID KARAMZADEH |
Course Lecturer(s): |
Prof. Dr. SELİM ZAİM |
Recommended Optional Program Components: | none.......... |
Course Objectives: | The course introduces fundamental topics in statistics and implements its applications to industrial, medical, financial, energy and similar type very large-size datasets to infer meaninful statistical results. The course is for gradute students with no significant background on this subject. Implementations will be performed on the open source statistical software R. Introduction to R programming will be given. |
The students who have succeeded in this course; I. Identify basic terms in statistics. II. Gain ability to use and apply basic methods and programming tools used in statistics over various engineering disciplines. III. Ability to explore data and its relationships. IV. Ability to perform hypothesis testing for statistical problems. V. Perform statistical inference over statistical data. |
Topics include: Introduction to R programming, Sampling, Data Exploration, Exploring Relationships, Probability, Random Variables and Probability Distributions, Estimation, Hypothesis Testing, Statistical Inference, Multiple Testing Correction, ANOVA, Analysis of Categorical Variables, Regression Analysis, Bayesian Analysis, Survival Analysis, Over Representation Analysis, Meta Analysis. |
Week | Subject | Related Preparation |
1) | Introduction | |
2) | Introduction to R statistical programming | |
3) | Term Project | |
4) | Data Exploration with R | |
5) | Visualizing and Summarizing Relationships | |
6) | Probability and Random Variables | |
7) | Estimation in datasets | |
8) | Hypothesis Testing for various engineering applications | |
9) | Statistical Inference over various large datasets | |
10) | ANOVA | |
11) | Analysis of Categorical Variables | |
12) | Regression and Bayesian Analysis | |
13) | Survival analysis | |
14) | Over Representation Analysis |
Course Notes / Textbooks: | Principles of Applied Statistics (Paperback), by D. R. Cox, Christl A. Donnelly 2011 ISBN-10: 1107644453 | ISBN-13: 978-1107644458 |
References: | Introductory Statistics with R Peter Dalgaard 2011 ISBN 978-0-387-79053-4 |
Semester Requirements | Number of Activities | Level of Contribution |
Project | 1 | % 30 |
Midterms | 1 | % 30 |
Final | 1 | % 40 |
Total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 30 | |
PERCENTAGE OF FINAL WORK | % 70 | |
Total | % 100 |
Activities | Number of Activities | Workload |
Course Hours | 14 | 42 |
Study Hours Out of Class | 14 | 42 |
Project | 1 | 30 |
Midterms | 1 | 40 |
Final | 1 | 50 |
Total Workload | 204 |
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 | 2 |
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 | 4 |
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 | 2 |
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 |