IE 333 Work Analysis and DesignMEF UniversityDegree Programs PsychologyGeneral Information For StudentsDiploma SupplementErasmus Policy Statement
Psychology
Bachelor Length of the Programme: 4 Number of Credits: 240 TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF: Level 6

Ders Genel Tanıtım Bilgileri

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
Lecture: 3 Recitation: Lab: Other:
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 Competences

Upon 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
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.

Relation to Program Outcomes and Competences

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

Course Contents

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 UseStudents are expected to use computer programs for the course project.
Other Activities
Assessment Methods
Assessment Tools Count Weight
Homework Assignments 5 % 5
Presentation 1 % 5
Project 1 % 15
Midterm(s) 1 % 30
Final Examination 1 % 45
TOTAL % 100
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.

ECTS Student Workload Estimation

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