PSY454 Counselling Psychology IIIstanbul Okan UniversityDegree Programs Automotive Engineering (English)General Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
Automotive Engineering (English)
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

General course introduction information

Course Code: PSY454
Course Name: Counselling Psychology II
Course Semester: Spring
Course Credits:
Theoretical Practical Credit ECTS
3 0 3 7
Language of instruction:
Course Requisites:
Does the Course Require Work Experience?: No
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: Face to face
Course Coordinator : Dr.Öğr.Üyesi EVİN AYDIN YÖNTEM
Course Lecturer(s): Dr.Öğr.Üyesi NUMAN TURAN
Course Assistants:

Course Objective and Content

Course Objectives: The aim of this course is to discuss how to determine the psychological problems of students, defining the precautions to secure effective atmosphere of education, prepare the students for counselling the others they meet in the schools and working life.
Course Content: This course covers the theories and approaches of psychological counseling, and a few basic methods and techniques used in psychological counseling. It includes psychological counseling practices in institutions such as education, health centers and workplaces.

Learning Outcomes

The students who have succeeded in this course;
Learning Outcomes
1 - Knowledge
Theoretical - Conceptual
1) To be able to explain general and basic information about counseling psychology.
2) To have knowledge and skills on counseling psychology theories, techniques and ethical principles.
3) Gaining the habit and skill of literature review and reading related to the field
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) - Danışmanlık kavramı - Danışmanlık psikolojisinin kısa tarihçesi Okuma
2) Theories and approaches related to psychological counseling Lecturer's notes and related articles
3) - Nitelikli danışman modeli - Yardım modelindeki aşamalar Okuma
4) - Yardım ilişkisi - Kültürün önemi Okuma
5) -Diyaloğun önemi -Dikkatini verme -Etkin dinleme -Sözsüz davranışlar Okuma
6) - Empati -Empatiyi aktarmak Okuma
7) -Teşvik -Sözlü-sözsüz teşvi -Özetleme Okuma
8) Danışanın Kendini Sorgulamalarına Yardım Etme Tanım ve kavramlar - Temel kavramlar - Amaç-Hedef Okuma
9) Ara sınav Okuma
10) Sorgulama Becerileri ve Bunları Kullanabilme - İleri vurguları paylaşma - Bilgi paylaşma - Kendini açma - Yakınlık - Öneride bulunma - Yüzleşme - Özendirme Okuma
11) • Zor danışanlar: İsteksizlik, Direnç ve Toparlanma - İsteksizlik ve direnç Okuma
12) Yardım Modelinde 1. Aşama: Öykü Alma -Öykü anlatmayı kolaylaştırmak -Farklı ifade etmeyi sağlamak Okuma
13) • Yardım Modelinde 2. Aşama: Uygulanabilir Amaçlar Belirlemeye Yardım Etme - Mantıklı karar alma - Çözüm odaklı yardım - Amaç belirleme yoluyla danışanların güçlerini keşfetmelerini sağlama Okuma
14) Yardım Modelinde 3. Aşama: Amaçlara Uygun Stratejiler Belirleme - Daha iyi bir gelecek olasılığını düşündürmek - Olasılıklardan seçimlere geçmeisni sağlamak - Amaca bağlanmalarını sağlama Okuma
15) Genel değerlendirme-toparlama Okuma
16) Final sınavı Okuma

Sources

Course Notes / Textbooks: Bu derse ait kaynak kitap bulunmamaktadır. Kaynak olarak, konuyla ilgili son dönemde yayınlanmış makalelerden yararlanılacaktır
References: Bu derse ait kaynak kitap bulunmamaktadır. Kaynak olarak, konuyla ilgili son dönemde yayınlanmış makalelerden yararlanılacaktır

Course-Program Learning Outcome Relationship

Learning Outcomes

1

2

3

Program Outcomes
1) Sufficient knowledge in mathematics, science and engineering related to their branches; and the ability to apply theoretical and practical knowledge in these areas to model and solve engineering problems.
2) The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods 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. (Realistic constraints and conditions include such issues as economy, environmental issues, sustainability, manufacturability, ethics, health, safety, social and political issues, according to the nature of design.)
4) Ability to develop, select and use modern techniques and tools necessary for engineering applications; ability to use information technologies effectively.
5) Ability to design experiments, conduct experiments, collect data, analyze and interpret results to examine engineering problems or discipline-specific research topics.
6) The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill.
7) Effective communication skills in Turkish oral and written communication; at least one foreign language knowledge; 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 need for lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal.
9) Conform to ethical principles, and standards of professional and ethical responsibility; be informed about the standards used in engineering applications.
10) Awareness of applications in business, such as project management, risk management and change management; awareness of entrepreneurship, and innovation; information about sustainable development.
11) Information about the universal and social health, environmental and safety effects of engineering applications and the ways in which contemporary problems are reflected in the engineering field; awareness of the legal consequences of engineering solutions.
12) Knowledge on advanced calculus, including differential equations applicable to automotive engineering; familiarity with statistics and linear algebra; knowledge on chemistry, calculus-based physics, dynamics, structural mechanics, structure and properties of materials, fluid dynamics, heat transfer, manufacturing processes, electronics and control, design of vehicle elements, vehicle dynamics, vehicle power train systems, automotive related regulations and vehicle validation/verification tests; ability to integrate and apply this knowledge to solve multidisciplinary automotive problems; ability to apply theoretical, experimental and simulation methods and, computer aided design techniques in the field of automotive engineering; ability to work in the field of vehicle design and manufacturing.

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 and engineering related to their branches; and the ability to apply theoretical and practical knowledge in these areas to model and solve engineering problems.
2) The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods 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. (Realistic constraints and conditions include such issues as economy, environmental issues, sustainability, manufacturability, ethics, health, safety, social and political issues, according to the nature of design.)
4) Ability to develop, select and use modern techniques and tools necessary for engineering applications; ability to use information technologies effectively.
5) Ability to design experiments, conduct experiments, collect data, analyze and interpret results to examine engineering problems or discipline-specific research topics.
6) The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill.
7) Effective communication skills in Turkish oral and written communication; at least one foreign language knowledge; 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 need for lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal.
9) Conform to ethical principles, and standards of professional and ethical responsibility; be informed about the standards used in engineering applications.
10) Awareness of applications in business, such as project management, risk management and change management; awareness of entrepreneurship, and innovation; information about sustainable development.
11) Information about the universal and social health, environmental and safety effects of engineering applications and the ways in which contemporary problems are reflected in the engineering field; awareness of the legal consequences of engineering solutions.
12) Knowledge on advanced calculus, including differential equations applicable to automotive engineering; familiarity with statistics and linear algebra; knowledge on chemistry, calculus-based physics, dynamics, structural mechanics, structure and properties of materials, fluid dynamics, heat transfer, manufacturing processes, electronics and control, design of vehicle elements, vehicle dynamics, vehicle power train systems, automotive related regulations and vehicle validation/verification tests; ability to integrate and apply this knowledge to solve multidisciplinary automotive problems; ability to apply theoretical, experimental and simulation methods and, computer aided design techniques in the field of automotive engineering; ability to work in the field of vehicle design and manufacturing.

Learning Activity and Teaching Methods

Expression
Brainstorming/ Six tihnking hats
Lesson
Reading
Q&A / Discussion
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)

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Attendance 1 % 10
Midterms 1 % 40
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 Workload
Course Hours 16 48
Application 16 37
Special Course Internship (Work Placement) 2 6
Study Hours Out of Class 16 60
Homework Assignments 15 15
Midterms 1 2
Paper Submission 16 32
Final 1 2
Total Workload 202