INDUSTRIAL ENGINEERING (ENGLISH, THESIS) | |||||
Master | TR-NQF-HE: Level 7 | QF-EHEA: Second Cycle | EQF-LLL: Level 7 |
Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
ENM5203 | Statistical Data Analysis and Decision Making | Fall Spring |
3 | 0 | 3 | 12 |
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: | Departmental Elective |
Course Level: | |
Mode of Delivery: | Face to face |
Course Coordinator : | Dr. Öğr. Üyesi ETHEM ÇANAKOĞLU |
Course Lecturer(s): |
Prof. Dr. SELİM ZAİM Dr. Öğr. Üyesi YÜCEL BATU SALMAN |
Recommended Optional Program Components: | N/A |
Course Objectives: | This course provides the use of statistical and quantitative methods using computer technology to examine and explore data. It aims to build and interpret models from this data for decision making in all functional areas. |
The students who have succeeded in this course; Ability to make decisions with statistical methods, ability to collect meaningful data, ability to interpret data and transform it into information/knowledge |
Methods covered include: collecting data, summarizing and exploring data, hypothesis testing, confidence intervals, regression analysis, ANOVA. |
Week | Subject | Related Preparation |
1) | Introduction: Description of data | |
2) | Data collection | |
3) | Descriptive Statistics | |
4) | Confidence intervals | |
5) | Hypothesis testing | |
6) | Hypothesis testing | |
7) | Midterm | |
8) | Regression analysis | |
9) | Regression analysis | |
10) | ANOVA | |
12) | ANOVA | |
12) | SPSS | |
13) | Project presentations | |
14) | Project presentations |
Course Notes / Textbooks: | N/A |
References: | Statistics for Business: Decision Making and Analysis, Robert A. Stine, Dean Foster, Pearson, 2011, 0321123913 |
Semester Requirements | Number of Activities | Level of Contribution |
Project | 1 | % 35 |
Midterms | 1 | % 25 |
Final | 1 | % 40 |
Total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 25 | |
PERCENTAGE OF FINAL WORK | % 75 | |
Total | % 100 |
Activities | Number of Activities | Duration (Hours) | Workload |
Course Hours | 14 | 3 | 42 |
Study Hours Out of Class | 14 | 4 | 56 |
Presentations / Seminar | 1 | 15 | 15 |
Project | 1 | 90 | 90 |
Midterms | 1 | 40 | 40 |
Final | 1 | 60 | 60 |
Total Workload | 303 |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | Process view and analytic thinking | |
2) | managerial thinking with technical background | |
3) | To have theoretical knowledge on operations research. | |
4) | Awareness about the applications of operations research | |
5) | To have ability of selection and efficient use of modern techniques, equipments and information technologies for industrial engineering | |
6) | To be capable of designing and conducting experiments and collecting data, analyzing and interpreting results | |
7) | To have verbal and oral effective communication skills by using visual methods in Turkish and English | |
8) | To be aware of entrepreneurship, sustainability and innovation | |
9) | To lead disciplinary and multi-disciplinary teams, to develop solution approaches in complex situations, to work individually and to take responsibility. | |
10) | To have conscious of professional and ethical responsibility | |
11) | To have conscious of necessity to lifelong learning | |
12) | To be aware of economic and legal implications of engineering solutions | |
13) | Economic, social and environmental responsibility while solving management problems |