PSI354 Testing and AssessmentIstanbul Okan UniversityDegree Programs Geomatic EngineeringGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
Geomatic Engineering
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

General course introduction information

Course Code: PSI354
Course Name: Testing and Assessment
Course Semester: Spring
Course Credits:
Theoretical Practical Credit ECTS
2 2 3 6
Language of instruction: TR
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): Dr.Öğr.Üyesi ECE TUNCAY SENLET
Dr. BİLİNMİYOR BEKLER
Course Assistants:

Course Objective and Content

Course Objectives: The aim of this course is to introduce the basic principles of psychological assesment. This course provides knowledge of measuring, measurement types, measuring psychological characteristics, methods of developing measurement materials, basic principles of psychological measurement, psychometrical features, standardization, validity, reliability, norm value studies, basic statistics such as correlation, regression, factor analysis related to psychological measuring and assessment.
Course Content: The aim of this course is to introduce the basic principles of psychological assesment. This course provides knowledge of measuring, measurement types, measuring psychological characteristics, methods of developing measurement materials, basic principles of psychological measurement, psychometrical features, standardization, validity, reliability, norm value studies, basic statistics such as correlation, regression, factor analysis related to psychological measuring and assessment.

Learning Outcomes

The students who have succeeded in this course;
Learning Outcomes
1 - Knowledge
Theoretical - Conceptual
1) A
2) A
3) A
4) A
5) A
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) Basic concepts and definitions in measurement Lecturer's notes and related articles
2) Test Types, usage areas Lecturer's notes and related articles
3) Scale norms Lecturer's notes and related articles
4) Reliability Lecturer's notes and related articles
5) Validity Lecturer's notes and related articles
6) Item analysis Lecturer's notes and related articles
7) Test development Lecturer's notes and related articles
8) Application/Analysis Lecturer's notes and related articles
9) Application/Analysis Lecturer's notes and related articles
10) Application/Analysis Lecturer's notes and related articles
11) Application/Analysis Lecturer's notes and related articles
12) Evaluation Lecturer's notes and related articles
13) Evaluation Lecturer's notes and related articles
14) Evaluation Lecturer's notes and related articles
15) All topics covered in the course for 14 weeks Lecturer's notes and related articles

Sources

Course Notes / Textbooks: Dersin öğretim görevlisinin notları ve ilgili makaleler
References: Dersin öğretim görevlisinin notları ve ilgili makaleler

Course-Program Learning Outcome Relationship

Learning Outcomes

1

2

3

4

5

Program Outcomes
1) Awareness of professional and ethical responsibility.
2) Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied information in these areas to model and solve engineering problems.
3) Ability to communicate effectively i Turkish, both orally and in writing; knowledge of a minimum of one foreign language.
4) Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development.
5) Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way so as to meet the desired result; ability to apply modern design methods for this purpose. (Realistic constraints and conditions may include factors such as economic and environmental issues, sustainability, manufacturability, ethics, health, safety isuues, and social and political issues according to the nature of the design.)
6) Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
7) Ability to devise, select, and use modern techniques and tools needed for engineering practice; ability to employ information technologies effectively.
8) Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modelling methods for this purpose.
9) Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of engineering solutions.
10) Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.
11) Ability to design and conduct experiments, gather data, analyse and interpret results for investigating engineering problems.

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Awareness of professional and ethical responsibility.
2) Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied information in these areas to model and solve engineering problems.
3) Ability to communicate effectively i Turkish, both orally and in writing; knowledge of a minimum of one foreign language.
4) Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development.
5) Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way so as to meet the desired result; ability to apply modern design methods for this purpose. (Realistic constraints and conditions may include factors such as economic and environmental issues, sustainability, manufacturability, ethics, health, safety isuues, and social and political issues according to the nature of the design.)
6) Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
7) Ability to devise, select, and use modern techniques and tools needed for engineering practice; ability to employ information technologies effectively.
8) Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modelling methods for this purpose.
9) Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of engineering solutions.
10) Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.
11) Ability to design and conduct experiments, gather data, analyse and interpret results for investigating engineering problems.

Learning Activity and Teaching Methods

Expression
Brainstorming/ Six tihnking hats
Individual study and homework
Lesson
Reading
Homework
Q&A / Discussion

Assessment & Grading Methods and Criteria

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

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Midterms 2 % 50
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
Total Workload 48