ECTS - Multidisciplinary Engineering Design

Multidisciplinary Engineering Design (MECE422) Course Detail

Course Name	Course Code	Season	Lecture Hours	Application Hours	Lab Hours	Credit	ECTS
Multidisciplinary Engineering Design	MECE422	Area Elective	2	2	0	3	5

Pre-requisite Course(s)
N/A

Course Language	English
Course Type	Elective Courses
Course Level	Bachelor’s Degree (First Cycle)
Mode of Delivery	Face To Face
Learning and Teaching Strategies	.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives	The main objective of the course is to practice an engineering capstone design project in multidisciplinary domain. Students are organized to work in multidisciplinary teams to gain a broad experience on multidisciplinary engineering design process. The course prepares students with the necessary foundations and recognized skills starting from need identification/project proposal up to the detailed design and/or computer implementation. The lectures are organized to focus on advantages and limitations of multidisciplinary design and emphasize capstone engineering design projects with cross disciplinary design features. Design projects are required to be fully compatible with the available contemporary engineering technology.
Course Learning Outcomes	The students who succeeded in this course; 1. to collect and analyze available engineering information on a specific design need with multidisciplinary features 2. to apply knowledge, skills and processes from several disciplines to conduct engineering analysis and practice engineering design 3. to develop team skills, consulting and organization in multidisciplinary domain properly using project management techniques 4. to make oral/written design presentations
Course Content	Design process and methodology; identification of engineering disciplines, features and importance of multidisciplinary engineering design; systems engineering; need identification and assessment, problem definition; creativity and idea generation; methods and tools of functional/physical/task decomposition; design representation techniques, conceptual modeling of energy, information and material flow in technical systems; idea selection, decision schemes; product architecture

Weekly Subjects and Releated Preparation Studies

Week	Subjects	Preparation

Sources

Evaluation System

Requirements	Number	Percentage of Grade
Attendance/Participation	-	-
Laboratory	-	-
Application	-	-
Field Work	-	-
Special Course Internship	-	-
Quizzes/Studio Critics	-	-
Homework Assignments	-	-
Presentation	-	-
Project	-	-
Report	-	-
Seminar	-	-
Midterms Exams/Midterms Jury	-	-
Final Exam/Final Jury	-	-
Toplam	0	0

Percentage of Semester Work
Percentage of Final Work	100
Total	100

Course Category

Core Courses	X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

#	Program Qualifications / Competencies	Level of Contribution
#	Program Qualifications / Competencies	1	2	3	4	5
1	Adequate knowledge in mathematics, science and subjects specific to the computer engineering discipline; the ability to apply theoretical and practical knowledge of these areas to complex engineering problems.
2	The ability to identify, define, formulate and solve complex engineering problems; selecting and applying proper analysis and modeling techniques for this purpose.
3	The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose.
4	The ability to develop, select and utilize modern techniques and tools essential for the analysis and determination of complex problems in computer engineering applications; the ability to utilize information technologies effectively.
5	The ability to design experiments, conduct experiments, gather data, analyze and interpret results for the investigation of complex engineering problems or research topics specific to the computer engineering discipline.
6	The ability to work effectively in inter/inner disciplinary teams; ability to work individually					X
7	Effective oral and writen communication skills in Turkish; the ability to write effective reports and comprehend written reports, to prepare design and production reports, to make effective presentations, to give and to receive clear and understandable instructions.
8	The knowledge of at least one foreign language; the ability to write effective reports and comprehend written reports, to prepare design and production reports, to make effective presentations, to give and to receive clear and understandable instructions.
9	Recognition of the need for lifelong learning; the ability to access information, to follow recent developments in science and technology.
10	The ability to behave according to ethical principles, awareness of professional and ethical responsibility;
11	Knowledge of the standards utilized in software engineering applications
12	Knowledge on business practices such as project management, risk management and change management;
13	Awareness about entrepreneurship, innovation
14	Knowledge on sustainable development
15	Knowledge on the effects of computer engineering applications on the universal and social dimensions of health, environment and safety;
16	Awareness of the legal consequences of engineering solutions
17	An ability to describe, analyze and design digital computing and representation systems.
18	An ability to use appropriate computer engineering concepts and programming languages in solving computing problems.

ECTS/Workload Table

Activities	Number	Duration (Hours)	Total Workload
Course Hours (Including Exam Week: 16 x Total Hours)
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class
Presentation/Seminar Prepration
Project
Report
Homework Assignments
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury
Prepration of Final Exams/Final Jury
Total Workload			0