EDT5009 Human Performance TechnologyBahçeşehir UniversityDegree Programs COMPUTER ENGINEERINGGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
COMPUTER ENGINEERING
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
EDT5009 Human Performance Technology Spring 3 0 3 12
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction: English
Type of course: Non-Departmental Elective
Course Level: Bachelor’s Degree (First Cycle)
Mode of Delivery: Face to face
Course Coordinator : Dr. Öğr. Üyesi YAVUZ SAMUR
Recommended Optional Program Components: None
Course Objectives: The overall course objectives are:
Examine basic concepts and principles of human performance technology
Describe the models used in human performance technology.
Examine the systematic approach to the analysis, design, development, implementation and evaluation of performance improvement interventions (performance support systems, job analysis/work design, personal development, human resource development, organizational communication, organizational design and development, financial systems)

Learning Outcomes

The students who have succeeded in this course;
1. to be able to discuss key concepts and terminology in human performance improvement
2. to be able to discuss the domain, origins, and key figures of human performance technology
3. to be able to distinguish between instructional technology and performance technology.
4. to be able to discuss the elements of selected human performance technology models.
5. to be able to explain a procedure for conducting a needs assessment and a cause analysis
6. to be able to examine the systematic approach to the analysis, design, development, implementation and evaluation of performance improvement interventions
7. to be able to discuss emerging trends in human performance technology
8. to be able to discuss selected strategies and tactics for performance improvement.


Course Content

Bu ders Insan Performans Teknolojisi alanina giriş niteliğindedir. İnsan performansı, insan performansı sistem modelleri ile ilgili temel kavram ve prensipleri ve insan performans modelleri ile ilgili problemleri inceler. Özellikle de bu derste performans geliştirme uygulamalarını (performans destek sistemleri, iş analizi, iş tasarımı, bireysel gelişim, insan kaynakları gelişimi, organizasyon iletişimi, organizasyon tasarımı ve gelişimi, finansal sistemler) derinlemesine analiz etme vurgulanmaktadır.

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Introduction and Overview
2) What is Human Performance Technology?
3) Human Performance Technology Models and Innovation
4) Human Performance Technology Models
5) Performance Analysis - Defining the problem or opportunity (Organization analysis, Environmental Analysis, Gap Analysis)
6) Cause Analysis and Technology foresight and forecasting
7) HPT Tools and Strategies
8) Perspectives on HPT
9) Teknoloji ve Öğrenme
10) Shift from Training to Performance, Motivation, Performance Support Systems
11) Design and manage HPT course project
12) Technology Assessment
13) Project Work & Project Presentations
14) Project Presentations

Sources

Course Notes / Textbooks: Van Tiem, D.M., Moseley, J.L. and Dessinger, J.C. (2004). Fundamentals of performance technology: A guide to improving people, process, and performance, Second Edition. Washington, DC: International Society for Performance Improvement.

Pershing J. A. (Ed.). (2006). Handbook of human performance technology (3rd Ed.). San Francisco: JosseyBass.
References: -

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Quizzes 1 % 20
Project 1 % 45
Final 1 % 35
Total % 100
PERCENTAGE OF SEMESTER WORK % 20
PERCENTAGE OF FINAL WORK % 80
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 3 42
Project 1 90 90
Quizzes 1 10 10
Final 1 50 50
Total Workload 192

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Adequate knowledge in mathematics, science and computer engineering; the ability to use theoretical and practical knowledge in these areas in complex engineering problems.
2) Ability to identify, formulate, and solve complex engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose. 2
3) Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose. 3
4) Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in computer engineering applications; ability to use information technologies effectively.
5) Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or computer engineering research topics. 3
6) Ability to work effectively within and multi-disciplinary teams; individual study skills. 2
7) Ability to communicate effectively in verbal and written Turkish; knowledge of at least one foreign language; ability to write active 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 necessity of lifelong learning; ability to access information, to follow developments in science and technology and to renew continuously.
9) To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in engineering applications.
10) Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development.
11) Knowledge of the effects of engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in engineering; awareness of the legal consequences of engineering solutions.