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

General course introduction information

Course Code:

ENG343

Course Name:

Introduction to Forensic Science

Course Semester:

Fall

Course Credits:

Theoretical	Practical	Credit	ECTS
3	0	3	5

Language of instruction:

Course Requisites:

Does the Course Require Work Experience?:

Type of course:

Faculty Elective

Course Level:

Bachelor

TR-NQF-HE:6. Master`s Degree

QF-EHEA:First Cycle

EQF-LLL:6. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator :

Dr.Öğr.Üyesi FATMA TUBA AKDENİZ

Course Lecturer(s):

Assoc. Prof. ÖZGE ACAR
Dr.Öğr.Üyesi FATMA TUBA AKDENİZ

Course Assistants:

Course Objective and Content

Course Objectives:	The aim of this course is to provide the detailed information about forensic science to understand the subjects
Course Content:	Information about forensic sciences Laboratories and technological recognition related to forensic sciences Information about evidence Information about the methods used

Learning Outcomes

The students who have succeeded in this course;

Learning Outcomes

1 - Knowledge
Theoretical - Conceptual
1) Define the detailed Forensic Science
2) Introduction of forensic science departments and laboratories finger prints DNA blood spot can ezplain
3) Can define and explain it types
4) By examining bone remains or bone structures, one can learn how to estimate age, gender, height and race.
5) Witness and understand its importance Have knowledge about forensic pathology Learns to evaluate fire findings Reveals the relationship of entomology with forensic science
2 - Skills
Cognitive - Practical
3 - Competences
Communication and Social Competence
Learning Competence
Field Specific Competence
Competence to Work Independently and Take Responsibility

Lesson Plan

Week	Subject	Related Preparation
1)	Adli bilimlere giriş, adli bilimler ile ilgili temel bilgiler	Course presentation.
2)	Types and function of Forensic Science Laboratory	Course presentation
3)	What are the tasks of forensic pathology and the other forensic laboratuory	Ders sunumu
4)	How can DNA evidence obtained from different materials Properties of knowledge obtained from Eyewitness	Course presentation
5)	Entomological evidents, blood components.	Course presentation
6)	Structure of hair fiber, Types of fingerprint	Course presentation
7)	Properties of finger prints	Course presentation
8)	Detailed information about latent print	Course material.
9)
10)	Bone evidens	Course presentation
11)	By using bone structure victim age race,gender estimation.	Coure presentation
12)	Task of forensic engineering	Course presentation
13)	Aim of autopsy Types of autopsy	Course presentation
13)	Aim of autopsy Types of autopsy	Course presentation
14)	Repetition of all topics	Course presentation
14)	Repetition of all topics	Course presentation
15)
15)

Sources

Course Notes / Textbooks:	Ders sunumları
References:	Course presentation

Course-Program Learning Outcome Relationship

Learning Outcomes	1	2	3	4	5
Program Outcomes
1) A solid foundation in mathematics, natural sciences, and computer engineering; the ability to apply both theoretical and practical knowledge in these fields to model and solve complex engineering problems.
2) The ability to identify, define, formulate, and solve complex computer engineering problems; and to select and apply appropriate analysis and modeling methods for this purpose.
3) The ability to design complex computer engineering systems, processes, devices, or products to meet specified requirements under realistic constraints and conditions; and to apply modern design methodologies for this purpose. (Realistic constraints and conditions may include economic, environmental, sustainability, manufacturability, ethical, health, safety, social, and political factors depending on the nature of the design.)
4) The ability to develop, select, and use modern techniques and tools required for the analysis and solution of complex problems encountered in computer engineering applications; and the ability to effectively utilize information technologies.
5) The ability to design and conduct experiments, collect data, analyze and interpret results for the investigation of complex computer engineering problems.
6) The ability to work effectively both individually and in disciplinary and multidisciplinary teams (particularly with software and mechatronics engineering).
7) The ability to communicate effectively in both Turkish and English, both orally and in writing; including effective report writing and comprehension of written reports, preparation of reports, delivering effective presentations, and the ability to give and receive clear and understandable instructions.
8) Awareness of the necessity of lifelong learning required by computer engineering; the ability to access, interpret, and develop knowledge, to follow advancements in science and technology, and to continuously update oneself.
9) The ability to act in accordance with ethical principles; awareness of professional and ethical responsibilities, and knowledge of standards used in computer engineering practices.
10) Knowledge of project management and computer engineering practices such as risk management and change management; awareness of entrepreneurship, innovation, and sustainable development.
11) Knowledge of the impacts of computer engineering applications on health, environment, and safety at universal and societal levels; awareness of contemporary issues and the legal implications of engineering solutions.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	A solid foundation in mathematics, natural sciences, and computer engineering; the ability to apply both theoretical and practical knowledge in these fields to model and solve complex engineering problems.
2)	The ability to identify, define, formulate, and solve complex computer engineering problems; and to select and apply appropriate analysis and modeling methods for this purpose.
3)	The ability to design complex computer engineering systems, processes, devices, or products to meet specified requirements under realistic constraints and conditions; and to apply modern design methodologies for this purpose. (Realistic constraints and conditions may include economic, environmental, sustainability, manufacturability, ethical, health, safety, social, and political factors depending on the nature of the design.)
4)	The ability to develop, select, and use modern techniques and tools required for the analysis and solution of complex problems encountered in computer engineering applications; and the ability to effectively utilize information technologies.
5)	The ability to design and conduct experiments, collect data, analyze and interpret results for the investigation of complex computer engineering problems.
6)	The ability to work effectively both individually and in disciplinary and multidisciplinary teams (particularly with software and mechatronics engineering).
7)	The ability to communicate effectively in both Turkish and English, both orally and in writing; including effective report writing and comprehension of written reports, preparation of reports, delivering effective presentations, and the ability to give and receive clear and understandable instructions.
8)	Awareness of the necessity of lifelong learning required by computer engineering; the ability to access, interpret, and develop knowledge, to follow advancements in science and technology, and to continuously update oneself.
9)	The ability to act in accordance with ethical principles; awareness of professional and ethical responsibilities, and knowledge of standards used in computer engineering practices.
10)	Knowledge of project management and computer engineering practices such as risk management and change management; awareness of entrepreneurship, innovation, and sustainable development.
11)	Knowledge of the impacts of computer engineering applications on health, environment, and safety at universal and societal levels; awareness of contemporary issues and the legal implications of engineering solutions.

Learning Activity and Teaching Methods

Individual study and homework
Lesson
Homework

Assessment & Grading Methods and Criteria

Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing)
Application

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Committee	15	% 45
Homework Assignments	2	% 15
Midterms	1	% 20
Final	1	% 20
total		% 100
PERCENTAGE OF SEMESTER WORK		% 80
PERCENTAGE OF FINAL WORK		% 20
total		% 100

Workload and ECTS Credit Grading

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	12	12	144
Midterms	1	1	1
Final	1	1	1
Total Workload			146