Psychology | |||||
Bachelor | Length of the Programme: 4 | Number of Credits: 240 | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF: Level 6 |
School/Faculty/Institute | Faculty of Engineering | ||||
Course Code | IE 333 | ||||
Course Title in English | Work Analysis and Design | ||||
Course Title in Turkish | İş Analizi ve Tasarımı | ||||
Language of Instruction | EN | ||||
Type of Course | Flipped Classroom | ||||
Level of Course | Introductory | ||||
Semester | Fall | ||||
Contact Hours per Week |
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Estimated Student Workload | 151 hours per semester | ||||
Number of Credits | 6 ECTS | ||||
Grading Mode | Standard Letter Grade | ||||
Pre-requisites | None | ||||
Expected Prior Knowledge | None | ||||
Co-requisites | None | ||||
Registration Restrictions | None | ||||
Overall Educational Objective | To acquire knowledge and skills necessary to design man-machine systems, enhance employee satisfaction and well-being, and overall performance of man-machine systems through systematic analysis, redesign, and optimization of work tasks and roles. | ||||
Course Description | This course introduces students the main elements of man-machine systems, human capabilities, limitations and needs in relation to the work task in production and service systems. Through theoretical discussions, practical examples, and hands-on exercises, students will gain a comprehensive understanding on main principles of man-machine system design, work measurement methods, job evaluation systems. | ||||
Course Description in Turkish | Bu ders, öğrencilere insan-makine sistemlerinin ana unsurlarını, insan yeteneklerini, üretim ve hizmet sistemlerindeki iş parçaları ile ilgili sınırlamaları ve ihtiyaçları tanıtır. Teorik tartışmalar, pratik örnekler ve uygulamalı alıştırmalar yoluyla öğrenciler, insan-makine sistem tasarımının temel ilkeleri, iş ölçüm yöntemleri, iş değerlendirme sistemleri hakkında kapsamlı bir anlayış kazanacaklardır. |
Course Learning Outcomes and CompetencesUpon successful completion of the course, the learner is expected to be able to:1) understand man-machine system elements in detail, 2) analyze and evaluate the relationship between work analysis and industrial engineering topics, 3) understand the importance of work environment design, 4) understand the relationship between work systems design and work health and safety, 5) identify and classify human performance distribution. |
Program Learning Outcomes/Course Learning Outcomes | 1 | 2 | 3 | 4 | 5 |
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1) Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology. | |||||
2) Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation. | |||||
3) Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes. | |||||
4) Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts. | |||||
5) Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline. | |||||
6) Internalization and dissemination of professional ethical standards. | |||||
7) Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences. | |||||
8) Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level). | |||||
9) Recognition, understanding, and respect for the complexity of sociocultural and international diversity. | |||||
10) Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement. | |||||
11) Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses. | |||||
12) Ability to acquire knowledge independently, and to plan one’s own learning. | |||||
13) Demonstration of advanced competence in the clarity and composition of written work and presentations. |
N None | S Supportive | H Highly Related |
Program Outcomes and Competences | Level | Assessed by | |
1) | Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology. | N | |
2) | Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation. | N | |
3) | Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes. | H | Exam,HW,Participation |
4) | Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts. | N | |
5) | Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline. | N | |
6) | Internalization and dissemination of professional ethical standards. | N | |
7) | Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences. | N | |
8) | Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level). | N | |
9) | Recognition, understanding, and respect for the complexity of sociocultural and international diversity. | S | Participation |
10) | Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement. | S | HW,Participation |
11) | Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses. | N | |
12) | Ability to acquire knowledge independently, and to plan one’s own learning. | S | Exam,HW |
13) | Demonstration of advanced competence in the clarity and composition of written work and presentations. | H | Exam,HW |
Prepared by and Date | UTKU KOÇ , December 2023 |
Course Coordinator | TUBA AYHAN |
Semester | Fall |
Name of Instructor | Öğr. Gör. AHMET FAHRİ ÖZOK |
Week | Subject |
1) | Introduction to Ergonomics |
2) | Work Systems Elements: Stress, Strain, and Fatigue |
3) | Work Systems Design |
4) | Environment Design |
5) | Physical & Psycho-social Environment |
6) | Operations Analysis |
7) | Work Measurement Methods |
8) | Stop-watch Method |
9) | Work Sampling |
10) | Predetermined Time Standards |
11) | Work Analysis, TQM, HRM, etc |
12) | Implementation of Ergonomics and Work Analysis Projects |
13) | Job Evaluation |
14) | Project Presentation |
15) | Final Exam/Project/Presentation Period |
16) | Final Exam/Project/Presentation Period |
Required/Recommended Readings | ● Freivalds and Niebel, “Niebel's Methods, Standards, & Work Design”, 13th edition McGraw-Hill | |||||||||||||||||||||
Teaching Methods | ||||||||||||||||||||||
Homework and Projects | ||||||||||||||||||||||
Laboratory Work | ||||||||||||||||||||||
Computer Use | Students are expected to use computer programs for the course project. | |||||||||||||||||||||
Other Activities | ||||||||||||||||||||||
Assessment Methods |
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Course Administration |
Course Instructor: Prof. Ahmet Fahri ÖZOK, Course Teaching Assistant: Duygu Sergi Pre-lecture videos: Attendance/participation: According to Law on Higher Education Arti. 54, students are required to attend at least 70% of the lectures. Students are expected to prepare for the lecture via pre-lecture videos and reading materials and attend the lectures. Formal use of e-mails: The course instructor assumes that any information sent through email will be received in 24 hours, unless a system problem occurs. Project: A term project will be assigned. Inappropriate conduct, academic dishonesty and plagiarism are subject to YÖK Disciplinary Regulation. |
Activity | No/Weeks | Hours | Calculation | ||||
No/Weeks per Semester | Preparing for the Activity | Spent in the Activity Itself | Completing the Activity Requirements | ||||
Course Hours | 14 | 2 | 3 | 1 | 84 | ||
Project | 1 | 25 | 25 | ||||
Homework Assignments | 5 | 2 | 10 | ||||
Midterm(s) | 1 | 12 | 1 | 13 | |||
Final Examination | 1 | 16 | 3 | 19 | |||
Total Workload | 151 | ||||||
Total Workload/25 | 6.0 | ||||||
ECTS | 6 |