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

Course Introduction and Application Information

Course Code:

UNI194

Course Name:

Problem Solving Techniques

Semester:

Spring

Course Credits:

ECTS

Language of instruction:

Turkish

Course Condition:

Does the Course Require Work Experience?:

Type of course:

University 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. TAYFUN UTAŞ

Course Lecturer(s):

Asst.Prof. Üyesi Tayfun Utaş

Course Assistants:

Course Objective and Content

Course Objectives:

This course aims to ensure the smooth flow of the process in product and service processes and to transform it into a culture. This course is to teach students how to prevent and manage the probabilities of problems proactively without problems, instead of understanding the solution after the problem occurs. In addition to teaching modern techniques, the course teaches how to manage as a team by taking into account the basic elements of human management, and to place the culture of integration.

Course Content:

Problems , matrix systems, team work , problem solving tools , quality tools

Learning Outcomes

The students who have succeeded in this course;
1) problem solving
2) team works
3) systems

Course Flow Plan

Week	Subject	Related Preparation
1)	what is thE PROBLEM ?	PC power point presendations
2)	Problem solving systems	"
3)	Decision Making	"
4)	Lean tools	"
5)	KAİZEN A3 management	"
6)	Proces Mnagement	"
7)	midterm
8)	Statistic 7 tool	"
9)	Statsitic	"
10)	project management	"
11)	lean value map workshop	"
12)	lean value maping workshop -2	"
13)	lidership	"
14)	FMEA	"
15)	FİNAL EXAM

Sources

Course Notes / Textbooks:	Sunuşlar /presendation
References:	7 KALİTE ARACI , SEVEN QUALİTY TOOLS . CA ISBN : 6904464660-56 M.ALTUR

Course - Program Learning Outcome Relationship

Course Learning Outcomes	1	2	3
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) To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in engineering applications.
3) Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development.
4) 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.
5) Ability to identify, formulate, and solve complex computer engineering problems using appropriate analysis and modeling techniques.
6) 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.
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) 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.
10) Ability to plan and conduct experiments, collect and analyze data, and interpret results in the study of complex computer engineering problems or research topics.
11) Ability to work effectively within and multidisciplinary teams; individual study skills.

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)	To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in engineering applications.
3)	Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development.
4)	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.
5)	Ability to identify, formulate, and solve complex computer engineering problems using appropriate analysis and modeling techniques.
6)	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.
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)	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.
10)	Ability to plan and conduct experiments, collect and analyze data, and interpret results in the study of complex computer engineering problems or research topics.
11)	Ability to work effectively within and multidisciplinary teams; individual study skills.

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Project	1	% 50
Midterms	1	% 20
Final	1	% 30
total		% 100
PERCENTAGE OF SEMESTER WORK		% 70
PERCENTAGE OF FINAL WORK		% 30
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
Course Hours	14	0	3		42
Project	1	50			50
Midterms	1	0	10		10
Final	1	20			20
Total Workload					122