| School/Faculty/Institute | Faculty of Economics, Administrative and Social Sciences | ||||
| Course Code | PSYC 344 | ||||
| Course Title in English | Human-Computer Interaction | ||||
| Course Title in Turkish | İnsan-Bilgisayar Etkileşimi | ||||
| Language of Instruction | EN | ||||
| Type of Course | Ters-yüz öğrenme | ||||
| Level of Course | Orta | ||||
| Semester | Spring | ||||
| Contact Hours per Week |
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| Estimated Student Workload | 150 hours per semester | ||||
| Number of Credits | 6 ECTS | ||||
| Grading Mode | Standard Letter Grade | ||||
| Pre-requisites | None | ||||
| Co-requisites | None | ||||
| Expected Prior Knowledge | None | ||||
| Registration Restrictions | Only undergraduate students | ||||
| Overall Educational Objective | To learn the basic principles and characteristics of human-computer interaction, such as direct manipulation, usability affordances, and interaction design heuristics, to learn to understand the workflow for designing and evaluating user-centered designs, from needfinding to prototyping to evaluation, and to become aware of the current state of research and development in human-computer interaction, such as augmented reality, wearable devices, and robotics. | ||||
| Course Description | This course is an introductory course on human-computer interaction. It does not presuppose any earlier knowledge of human-computer interaction, computer science, or psychology. The class covers three broad categories of topics within human-computer interaction: (a) the principles and characteristics of the interaction between humans and computers; (b) the techniques for designing and evaluating user-centered systems; and (c) current areas of cutting-edge research and development in human-computer interaction. |
Course Learning Outcomes and CompetencesUpon successful completion of the course, the learner is expected to be able to:1) design user interfaces and experiences grounded in known principles of usability and human-computer interaction; 2) iteratively prototype, evaluate, and improve user-centered designs with user feedback; 3) engage in open or new areas of development in human-computer interaction |
| Program Learning Outcomes/Course Learning Outcomes | 1 | 2 | 3 |
|---|---|---|---|
| 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. | S | Exam |
| 3) | Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes. | S | Exam |
| 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. | H | Exam |
| 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. | N | |
| 10) | Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement. | N | |
| 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 | Proje |
| 13) | Demonstration of advanced competence in the clarity and composition of written work and presentations. | N |
| Prepared by and Date | BANU FEMİR GÜRTUNA , October 2024 |
| Course Coordinator | BANU FEMİR GÜRTUNA |
| Semester | Spring |
| Name of Instructor | Asst. Prof. Dr. TUNA ÇAKAR |
| Week | Subject |
| 1) | Introduction & Usability of Interactive Systems (1.1) |
| 2) | Universal Usability (1.2) & Exploring HCI (1.3) |
| 3) | Principles (2.1) |
| 4) | Feedback Cycles (2.2) |
| 5) | Direct Manipulation (2.3) & Human Abilities (2.4) |
| 6) | Design Principles & Heuristics (2.5) |
| 7) | Mental Models & Representations (2.6) |
| 8) | Task Analysis (2.7) |
| 9) | Distributed Cognition (2.8) & Interfaces & Politics (2.9 ) |
| 10) | Methods (3.1), Ethics, & Human Reearch (3.2) |
| 11) | Needfinding (3.3) & Design Alternatives (3.4) |
| 12) | Protyping (3.5) & Evaluation (3.6) |
| 13) | Applications: Technology (4.1), Ideas (4.2), & Domains (4.3) |
| 14) | Related Fields & Next Steps (5.2 & 5.3) |
| 15) | Final Examination Period |
| 16) | Final Examination Period |
| Required/Recommended Readings | Dix A. et al., Human-Computer Interaction. Harlow, England: Prentice Hall, 2004, ISBN-10: 0130461091. Shneiderman, B., & Plaisant, C et al. Designing the User Interface. Pearson Publishing, 2017. | |||||||||||||||||||||
| Teaching Methods | Flipped learning | |||||||||||||||||||||
| Homework and Projects | Assignments & Project | |||||||||||||||||||||
| Laboratory Work | None | |||||||||||||||||||||
| Computer Use | Required | |||||||||||||||||||||
| Other Activities | None | |||||||||||||||||||||
| Assessment Methods |
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| Course Administration |
cakart@mef.edu.tr Instructor’s office: 5th floor Phone number: 0 212 395 37 45 Office hours: After the lecture hours. E-mail address: cakart@mef.edu.tr Rules for attendance: No attendance required. Statement on plagiarism: YÖK Disciplinary Regulation |
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| 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 | 1 | 3 | 1 | 70 | ||
| Application | 1 | 1 | 1 | ||||
| Project | 1 | 0 | 0 | ||||
| Homework Assignments | 1 | 14 | 14 | ||||
| Quiz(zes) | 2 | 16 | 4 | 40 | |||
| Midterm(s) | 1 | 0 | 3 | 3 | |||
| Final Examination | 1 | 14 | 8 | 22 | |||
| Total Workload | 150 | ||||||
| Total Workload/25 | 6.0 | ||||||
| ECTS | 6 | ||||||