Genetics and Bioengineering (English)
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

General course introduction information

Course Code: ENG316
Course Name: Introduction to Traffic Engineering
Course Semester: Fall
Course Credits:
Theoretical Practical Credit ECTS
3 0 3 5
Language of instruction: EN
Course Requisites:
Does the Course Require Work Experience?: No
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 : Assoc. Prof. SELİM DÜNDAR
Course Lecturer(s):

Course Assistants:

Course Objective and Content

Course Objectives: The purpose of this course is to introduce the fundamentals of traffic engineering. The topics covered in this class includes: Basic parameters of traffic flow. Basic relationship of traffic flow. Data collection methods. Traffic flow models. Microscobic flow models. Capacity and the level of service. Traffic sings. Road markings. Parkings. Intersections. Roundabouts. Traffic signal design.
Course Content: Understand traffic behavior
Collect traffic data
Analyze traffic data
Model the highway traffic
Design traffic projects
Design traffic signals
Design intersections
Design parking areas

Learning Outcomes

The students who have succeeded in this course;
Learning Outcomes
1 - Knowledge
Theoretical - Conceptual
1) Understand traffic behavior
2 - Skills
Cognitive - Practical
1) Collect traffic data
2) Analyze traffic data
3) Model the highway traffic
4) Design traffic projects
5) Design traffic signals
6) Design intersections
7) Design parking areas
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) Introduce the needs for and the methods used on traffic engineering
2) Fundamental parameters of traffic flow
3) Fundamental relations of traffic flow
4) Traffic data collection
5) Traffic flow models
6) Microscopic traffic flow modelling
7) Capacity Level of Service
8) Traffic signs
9) Midterm exam
10) Road markings
11) Parking
12) Traffic intersections
13) Traffic rotaries
14) Traffic signal design

Sources

Course Notes / Textbooks: “Traffic Engineering 4th Edition”, by Roger P. Roses, Elena S. Prassas, William R. McShane, Prentice Hall, 2011.
ISBN-9780136135739
“Highway Capacity Manual 5th Edition (2010)”, Transportation Research Board, 2010.
ISBN-9780309160773
References: Yok

Course-Program Learning Outcome Relationship

Learning Outcomes

1

2

3

4

5

6

7

8

Program Outcomes
1) Sufficient knowledge in mathematics, science, genetics and bioengineering; the ability to apply theoretical and practical knowledge in these fields to model and solve engineering problems.
2) Ability to identify, define, formulate, and solve complex bioengineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose.
3) The ability to design a complex bioengineering system and process under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. (Realistic constraints and conditions include elements such as economics, environmental issues, sustainability, manufacturability, ethics, health, safety, social and political issues, depending on the nature of the design.)
4) The ability to develop, select, and use modern techniques and tools necessary for genetic and bioengineering applications; the ability to use information technologies effectively.
5) The ability to design experiments, conduct experiments, collect data, analyse and interpret results for the investigation of genetics and bioengineering problems.
6) The ability to work effectively in interdisciplinary and multidisciplinary teams; the ability to work independently.
7) The ability to communicate effectively in Turkish and English, both verbally and in writing.
8) Awareness of the need for lifelong learning required by bioengineering, the ability to access information, following developments in science and technology, and constant self-renewal.
9) Professional and ethical responsibility awareness; competence to contribute to the development of the profession.
10) Knowledge of biotechnology applications, such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development.
11) Knowledge of the effects of biotechnology applications on health, the environment, and safety at the universal and social levels, as well as contemporary issues; awareness of the legal consequences 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) Sufficient knowledge in mathematics, science, genetics and bioengineering; the ability to apply theoretical and practical knowledge in these fields to model and solve engineering problems.
2) Ability to identify, define, formulate, and solve complex bioengineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose.
3) The ability to design a complex bioengineering system and process under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. (Realistic constraints and conditions include elements such as economics, environmental issues, sustainability, manufacturability, ethics, health, safety, social and political issues, depending on the nature of the design.)
4) The ability to develop, select, and use modern techniques and tools necessary for genetic and bioengineering applications; the ability to use information technologies effectively.
5) The ability to design experiments, conduct experiments, collect data, analyse and interpret results for the investigation of genetics and bioengineering problems.
6) The ability to work effectively in interdisciplinary and multidisciplinary teams; the ability to work independently.
7) The ability to communicate effectively in Turkish and English, both verbally and in writing.
8) Awareness of the need for lifelong learning required by bioengineering, the ability to access information, following developments in science and technology, and constant self-renewal.
9) Professional and ethical responsibility awareness; competence to contribute to the development of the profession.
10) Knowledge of biotechnology applications, such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development.
11) Knowledge of the effects of biotechnology applications on health, the environment, and safety at the universal and social levels, as well as contemporary issues; awareness of the legal consequences of engineering solutions.

Learning Activity and Teaching Methods

Field Study
Individual study and homework
Lesson
Group study and homework
Homework
Problem Solving
Application (Modelling, Design, Model, Simulation, Experiment etc.)
Case Study

Assessment & Grading Methods and Criteria

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

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Homework Assignments 1 % 10
Project 1 % 10
Midterms 1 % 30
Final 1 % 50
total % 100
PERCENTAGE OF SEMESTER WORK % 50
PERCENTAGE OF FINAL WORK % 50
total % 100

Workload and ECTS Credit Grading

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 3 42
Study Hours Out of Class 14 6 84
Project 1 5 5
Homework Assignments 1 5 5
Midterms 1 1 1
Paper Submission 1 5 5
Final 1 1 1
Total Workload 143