ENGINEERING MANAGEMENT (TURKISH, PHD)
PhD TR-NQF-HE: Level 8 QF-EHEA: Third Cycle EQF-LLL: Level 8

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
ENM5203 Statistical Data Analysis and Decision Making Fall 3 0 3 12
The course opens with the approval of the Department at the beginning of each semester

Basic information

Language of instruction: En
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
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.

Learning Outputs

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

Course Content

Methods covered include: collecting data, summarizing and exploring data, hypothesis testing, confidence intervals, regression analysis, ANOVA.

Weekly Detailed Course Contents

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

Sources

Course Notes: N/A
References: Statistics for Business: Decision Making and Analysis, Robert A. Stine, Dean Foster, Pearson, 2011, 0321123913

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Attendance % 0
Laboratory % 0
Application % 0
Field Work % 0
Special Course Internship (Work Placement) % 0
Quizzes % 0
Homework Assignments % 0
Presentation % 0
Project 1 % 35
Seminar % 0
Midterms 1 % 25
Preliminary Jury % 0
Final 1 % 40
Paper Submission % 0
Jury % 0
Bütünleme % 0
Total % 100
PERCENTAGE OF SEMESTER WORK % 25
PERCENTAGE OF FINAL WORK % 75
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 3 42
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 4 56
Presentations / Seminar 1 15 15
Project 1 90 90
Homework Assignments 0 0 0
Quizzes 0 0 0
Preliminary Jury 0 0 0
Midterms 1 40 40
Paper Submission 0 0 0
Jury 0 0 0
Final 1 60 60
Total Workload 303

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) - To be able to develop and deepen current and advanced knowledge in the field with original thought and/or research at the level of expertise based on master's qualifications, and to reach original definitions that will bring innovation to the field.
2) - To be able to comprehend the interdisciplinary interaction that the field is related to; Ability to reach original results by using knowledge that requires expertise in analyzing, synthesizing and evaluating new and complex ideas.
3) -To be able to evaluate and use new knowledge in the field with a systematic approach.
4) - To be able to develop a new idea, method, design and/or application that brings innovation to the field, or to apply a known idea, method, design and/or application to a different field, to research, comprehend, design, adapt and apply an original subject.
5) - Ability to critically analyze, synthesize and evaluate new and complex ideas.
6) - Gaining high-level skills in using research methods in studies related to the field.
7) - To be able to critically examine and develop social relations and the norms that guide these relations, and to manage actions to change them when necessary.
8) - To be able to defend their original views in the discussion of the issues in the field with experts and to establish an effective communication showing their competence in the field.
9) - To be able to communicate and discuss at an advanced level in written, oral and visual using a foreign language at least at the C1 General Level of the European Language Portfolio.
10) - To be able to develop new thoughts and methods in the field by using high-level mental processes such as creative and critical thinking, problem solving and decision making.
11) - To be able to contribute to the process of becoming an information society and maintaining it by introducing scientific, technological, social or cultural advances in the field.
12) - To be able to interact functionally by using strategic decision-making processes in solving the problems encountered in the field.
13) - To be able to contribute to the solution of social, scientific, cultural and ethical problems encountered in issues related to the field and to support the development of these values.
14) - Being able to contribute to the progress in the field by independently carrying out an original work that brings innovations to the field, develops a new idea, method, design and / or application or applies a known idea, method, design and / or application to a different field.
15) - To be able to expand the limits of knowledge in the field by publishing at least one scientific article related to the field in national and/or international refereed journals and/or by producing or interpreting an original work.
16) - Ability to lead in environments that require the resolution of unique and interdisciplinary problems.