PSY452 Testing and Assessment in Industrial PsychologyIstanbul 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: PSY452
Course Name: Testing and Assessment in Industrial Psychology
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 ECE TUNCAY SENLET
Course Lecturer(s): Öğr.Gör. SERİN İŞİAÇIK
Course Assistants:

Course Objective and Content

Course Objectives: The aim of this course is to understand the measurement principles in psychological testing and applying these principles to industry related measurement tools like ability tests, and personality inventories, and other measurement technics used in personnel selection and promotion.
Course Content: This course includes applications in performance evaluation, training needs analysis, preparation of training programs, training evaluation and career management.

Learning Outcomes

The students who have succeeded in this course;
Learning Outcomes
1 - Knowledge
Theoretical - Conceptual
1) To have basic and general knowledge about Industrial and Organizational Psychology
2) To be able to convey written and verbal thoughts on solution proposals for problems related to the working environment.
3) To be able to convey ideas, verbally and in writing, about the solution proposals for the needs and problems in the business environment, and to develop and implement applications.
4) Demonstrating an approach to understanding people with their psychological and social aspects
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) Measurement and Evaluation in Industrial and Organizational Psychology Lecturer's notes and related articles
2) Performance evaluation Lecturer's notes and related articles
3) Performance Evaluation Process Lecturer's notes and related articles
4) 360 degree performance evaluation Lecturer's notes and related articles
5) Evaluation Methods Lecturer's notes and related articles
6) Checking the evaluation results Lecturer's notes and related articles
7) MIDTERM None
8) Education Lecturer's notes and related articles
9) Education Lecturer's notes and related articles
10) Education Lecturer's notes and related articles
11) Educational Applications Lecturer's notes and related articles
12) Educational Applications Lecturer's notes and related articles
13) Education Evaluation Processes Lecturer's notes and related articles
14) Career Development Lecturer's notes and related articles
15) Revision Lecturer's notes and related articles
16) Final None

Sources

Course Notes / Textbooks: • Endüstri, İş ve Örgüt Psikolojisi El Kitabı 1. Cilt, 2009, Neil Anderson, Deniz Öneş, Handan Kepir Sinangil, Chockalingam Viswesvaran, Literatür Yayıncılık (Bölüm 13/14).
• Industrial & Organizational Psychology: An Applied Approach, 2007, M.G. Aamodt, Wadsworth / S. P. Robbins, 2001, Organizational Behavior, Prentice Hall /
• Training in Organizations, 1992, I. L. Goldstein, California: Brooks /Cole
• Training for Organizational Transformation, 2000, R. P. Lynton, U. Pareek, London: Sage

References: • Endüstri, İş ve Örgüt Psikolojisi El Kitabı 1. Cilt, 2009, Neil Anderson, Deniz Öneş, Handan Kepir Sinangil, Chockalingam Viswesvaran, Literatür Yayıncılık (Bölüm 13/14).
• Industrial & Organizational Psychology: An Applied Approach, 2007, M.G. Aamodt, Wadsworth / S. P. Robbins, 2001, Organizational Behavior, Prentice Hall /
• Training in Organizations, 1992, I. L. Goldstein, California: Brooks /Cole
• Training for Organizational Transformation, 2000, R. P. Lynton, U. Pareek, London: Sage

Course-Program Learning Outcome Relationship

Learning Outcomes

1

2

3

4

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

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
Midterms 1 % 40
Final 1 % 60
total % 100
PERCENTAGE OF SEMESTER WORK % 40
PERCENTAGE OF FINAL WORK % 60
total % 100

Workload and ECTS Credit Grading

Activities Number of Activities Duration (Hours) Workload
Course Hours 3 42 126
Midterms 1 24 24
Final 1 48 48
Total Workload 198