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

Course Introduction and Application Information

Course Code:

ENS003

Course Name:

Digital Twins for Health Sciences

Semester:

Spring

Course Credits:

ECTS

Language of instruction:

English

Course Condition:

Does the Course Require Work Experience?:

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. ŞENOL PİŞKİN

Course Lecturer(s):

Assist Prof. Şenol Pişkin

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.
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.

Learning Outcomes

The students who have succeeded in this course;
1) The students who have succeeded in this course; 1) Gains multidisciplinary teamwork skills.
2) 2) Defines and solves complex engineering problems and turns them into practice.
3) 3) Gain the skills to conduct scientific research, prepare reports and make presentations.
4) 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 interim 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)	Projenin gözden geçirilmesi, dersin yürütücüsüyle toplantı

Sources

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

Course - Program Learning Outcome Relationship

Course Learning Outcomes	1	2	3	4
Program Outcomes
1) Adequate knowledge in mathematics, science, and computer engineering principles, both theoretical and practical, and the ability to apply this knowledge to complex engineering problems.
2) Ability to identify, formulate, and solve complex computer engineering problems using appropriate analysis and modeling techniques.
3) Ability to design and develop complex computer systems, devices, or products that meet specific requirements and operate under realistic constraints and conditions, using modern design methods.
4) Ability to develop, select and use modern techniques and tools used for the analysis and solution of complex computer engineering problems, and the ability to use information technologies effectively.
5) Ability to plan and conduct experiments, collect and analyze data, and interpret results in the study of complex computer engineering problems or research topics.
6) Ability to work effectively within and multidisciplinary teams; individual study skills.
7) Ability to communicate effectively orally and in writing; knowledge of at least one foreign language; ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
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.
11) Knowledge of the effects of computer engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in computer engineering; awareness of the legal consequences of computer 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 computer engineering principles, both theoretical and practical, and the ability to apply this knowledge to complex engineering problems.
2)	Ability to identify, formulate, and solve complex computer engineering problems using appropriate analysis and modeling techniques.
3)	Ability to design and develop complex computer systems, devices, or products that meet specific requirements and operate under realistic constraints and conditions, using modern design methods.
4)	Ability to develop, select and use modern techniques and tools used for the analysis and solution of complex computer engineering problems, and the ability to use information technologies effectively.
5)	Ability to plan and conduct experiments, collect and analyze data, and interpret results in the study of complex computer engineering problems or research topics.
6)	Ability to work effectively within and multidisciplinary teams; individual study skills.
7)	Ability to communicate effectively orally and in writing; knowledge of at least one foreign language; ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
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.
11)	Knowledge of the effects of computer engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in computer engineering; awareness of the legal consequences of computer engineering solutions.

Assessment & Grading

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