Industrial Engineering (English)
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code: ENS002
Course Name: Application Development for Decision Making
Semester: Spring
Course Credits:
ECTS
5
Language of instruction: English
Course Condition:
Does the Course Require Work Experience?: No
Type of course: Departmental Elective
Course Level:
Bachelor TR-NQF-HE:6. Master`s Degree QF-EHEA:First Cycle EQF-LLL:6. Master`s Degree
Mode of Delivery: E-Learning
Course Coordinator: Dr. Öğr. Üy. NOYAN SEBLA SEZER
Course Lecturer(s): Dr. Öğr. Üy. Noyan Sebla SEZER
Course Assistants:

Course Objective and Content

Course Objectives: It is aimed to provide students with the skills of analyzing a complex engineering problem under realistic constraints and conditions, producing solutions through the synthesis of information, project planning, management, reporting and presentation through interdisciplinary cooperation, using the knowledge they have learned until the third grade.
Course Content: Within the scope of the interdisciplinary project, a common research topic is determined with the participation of at least one at most two students from at least two different engineering departments, and in solving this problem, the students are expected to produce solutions and create an application project by integrating what they have learned in their own disciplines.

Learning Outcomes

The students who have succeeded in this course;
1) Gains multidisciplinary teamwork skills.
2) Defines and solves complex engineering problems and turns them into practice.
3) Gain the skills to conduct scientific research, prepare reports and make presentations.
4) Gains project workflow planning and project management skills.

Course Flow Plan

Week Subject Related Preparation
1) Sharing the course content with students, determining project groups, meeting with the course instructor
2) Literature review and determination of the research problem, meeting with the course instructor
3) Literature review and determination of the research problem, meeting with the course instructor
4) Determining the solution methodology, meeting with the course instructor
5) Determining the solution methodology, meeting with the course instructor
6) Clarification of the project workflow plan and task sharing, meeting with the course instructor
7) Midterm exam - Submission and presentation of inter report
8) Application of the solution method, meeting with the course instructor
9) Application of the solution method, meeting with the course instructor
10) Application of the solution method, meeting with the course instructor
11) Analysis of results and findings, meeting with the course instructor
12) Analysis of results and findings, meeting with the course instructor
13) Review of the project, meeting with the course instructor
14) Review of the project, meeting with the course instructor

Sources

Course Notes / Textbooks: Kerzner, H. (2014). Project Management Best Practices: Achieving Global Excellence.
References: Cobb, C.G. (2011). Making Sense of Agile Project Management: Balancing Control and Agility.

Course - Program Learning Outcome Relationship

Course Learning Outcomes

1

2

3

4

Program Outcomes
1) Adequate knowledge in mathematics, science and industrial engineering; the ability to use theoretical and practical knowledge in these areas in complex engineering problems.
2) Ability to identify, formulate, and solve complex industrial engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose. 2
3) Ability to design a complex industrial system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose. 2
4) Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in industrial engineering applications; ability to use information technologies effectively.
5) Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or industrial engineering research topics.
6) Ability to work effectively within and multidisciplinary teams; individual study skills. 3
7) Ability to communicate effectively orally and in writing; knowledge of at least one foreign language; ability to write effectice reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions. 3
8) Awareness of the necessity of lifelong learning; ability to access information, to follow developments in science and technology and to renew continuously.
9) To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in engineering applications.
10) Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development. 2
11) Knowledge of the effects of industrial engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in industrial engineering; awareness of the legal consequences of industrial engineering solutions.

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Average 3 Highest
       
Program Outcomes Level of Contribution
1) Adequate knowledge in mathematics, science and industrial engineering; the ability to use theoretical and practical knowledge in these areas in complex engineering problems.
2) Ability to identify, formulate, and solve complex industrial engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose. 2
3) Ability to design a complex industrial system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose. 2
4) Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in industrial engineering applications; ability to use information technologies effectively.
5) Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or industrial engineering research topics.
6) Ability to work effectively within and multidisciplinary teams; individual study skills. 3
7) Ability to communicate effectively orally and in writing; knowledge of at least one foreign language; ability to write effectice reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions. 3
8) Awareness of the necessity of lifelong learning; ability to access information, to follow developments in science and technology and to renew continuously.
9) To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in engineering applications.
10) Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development. 2
11) Knowledge of the effects of industrial engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in industrial engineering; awareness of the legal consequences of industrial engineering solutions.

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Midterms 1 % 40
Final 1 % 60
total % 100
PERCENTAGE OF SEMESTER WORK % 40
PERCENTAGE OF FINAL WORK % 60
total % 100

Workload and ECTS Credit Calculation

Activities Number of Activities Preparation for the Activity Spent for the Activity Itself Completing the Activity Requirements Workload
Study Hours Out of Class 13 0 3 39
Midterms 1 30 30
Final 1 45 45
Total Workload 114