K-INFO
HU
EN
Login
Subject » BMEVITMMSMA003-00

UX&AI

UX és MI
A tantárgyleírás hatályossága
Hatályosság kezdete:
Hatályosság vége:
Subject name (Hungarian, English)
UX és MI
UX&AI
Subject code BMEVITMMSMA003-00
Subject type
Training Level
Course types and hours (weekly/semester)
Course type lecture tutorial laboratory
hours (weekly) 2 1 0
type (linked/independent) derived course
Assessment type vizsga
Credits 5
Subject coordinator
DR. Zainkó Csaba
position: adjunktus
Responsible department
Faculty
Subject website https://smartlab.tmit.bme.hu/UX
Primary curriculum type
Direct prerequisites – Strong prerequisite none
Direct prerequisites – Weak prerequisite none
Direct prerequisites – Parallel prerequisite none
Direct prerequisites – Milestone prerequisite none
Direct prerequisites – Exclusion none

Objectives

Programme

Introduction, Task Assignment, Group Formation
A motivational introductory lecture on the basic concepts and importance of the topic, illustrated with real-life stories. Discussion of the semester’s schedule, formation of project teams, and selection of project tasks.

Interviewing, Product Concept (Product Discovery)
Students learn how to use interviews to uncover the problems of a specific target group and how to develop a product concept based on the collected information. They will be introduced to basic interview techniques and methods for evaluating gathered data.

User Processes (User Journey, Customer Journey)
Introduction to high-level planning of user processes. How and when a user encounters the product, what path they follow on each occasion, and how all of this can be deliberately planned in advance.

Screen Design
The goal is to learn the basic rules of designing screen interfaces.

Prototyping and AI Solutions
Students learn the basics of UX prototype design and how to use a design software tool. They also get to know the capabilities of basic AI components.

User Testing
The methodology of user interface testing. Students learn how to validate the interfaces they designed using user testing and gain insight into the steps of the iterative design process.

Familiarization with UI Design Software
Introduction to and hands-on use of a specific UI design software.

UI Design Basics: Typography, Colors, UI Elements
The goal is to understand the key aspects of detailed user interface design. Students receive an introduction to typography, color theory, and the visual structure and use of various UI elements.

Microcopy, UX Writing
Students learn how to communicate with users through the UI and develop their writing skills.

Design Systems
Introduction to modern component-based design systems. Design systems allow for the creation of consistent and easily reusable interface elements for applications.

Evaluation
Evaluation of the completed user interfaces, identification of directions for improvement, and assessment of results.

Unconventional Interfaces, Voice-Based Communication Interfaces, AI Components
Basics and design of voice interfaces and chatbots.

Integration of AI-Based Solutions into the User Interface
Exploring how AI-based solutions can be integrated into user interfaces.

Final Presentations
Students present their design project work carried out during the semester.

Practices:

Interviewing, Interview Evaluation, User Journey: Writing an interview script and conducting 2–3 interviews on the selected topic, organizing and evaluating the information collected during the interviews. Formulating the basic concept of the planned product and mapping out possible user journeys related to the product concept.

Prototyping: Creating the first prototype of the product.

User Testing: Testing the created prototype iteratively in multiple rounds, addressing and fixing identified issues.

Creating Moodboards, Building the UI: Establishing the visual appearance of the product. Building the detailed user interface using a reusable design kit.

Developing an AI-Based Voice Interface: For example, implementing a speech-based chatbot.

Final Touches, Presentation Preparation: Finalizing the product designs, learning basic presentation techniques, and preparing the final presentation.

The aim of the course is to familiarize students with the concepts of user experience (UX), human-computer interaction (HCI), and user interface (UI), as well as the process of designing high-quality software related to these areas. The goal is to understand and apply the role of state-of-the-art (SOTA) AI components in user interaction. Alongside the presentation of theoretical topics, the material will also be covered through practical exercises. Students will demonstrate their proficiency in the subject by completing hands-on assignments. By the end of the course, students will have learned the fundamental principles necessary for the design, testing, and evaluation of user experience and AI, so they can apply them in practice during their future professional work.

Learning outcomes

Ez a tantárgy a KKK rendeletben meghatározott, következő kompetenciák fejlesztését szolgálja:

Knowledge

No learning outcomes recorded.

Skills

No learning outcomes recorded.

Attitudes

No learning outcomes recorded.

Autonomy and responsibility

No learning outcomes recorded.

Oktatási módszertan

Lectures with possibility of interaction 2 hours of lecture per week, 2 hours of practical sessions every other week. The form of lectures and practical sessions is blended learning.

Tanulástámogató anyagok

Online források
Norman, Don. The design of everyday; things: Revised and expanded edition. Basic books, 2013.Weinschenk, Susan. 100 more things every; designer needs to know about people. New Riders, 2015.Krug, Steve. Don't make me think!: Web; & Mobile Usability: Das intuitive Web. MITP-Verlags GmbH & Co. KG,; 2018.Soares, Marcelo M., Tareq Ahram, and; Christianne Falcão. "Usability and User Experience: Methods and; Models." Handbook of Usability and User Experience. CRC Press, 2022.

Recommended preliminary knowledge for completing the subject

Knowledge type competencies
(azon előzetes ismeretek összessége, amelyek megléte nem kötelező, de a tantárgy eredményes teljesítését nagyban elősegíti)
None
Skill type competencies
(azon előzetes képességek és készségek összessége, amelyek megléte nem kötelező, de a tantárgy eredményes teljesítését nagyban elősegíti)
nincs
Recommended (non-compulsory) preliminary competencies
(azon ajánlott (nem kötelező) előzetesen megszerzendő kompetenciák összessége, amelyek jelentősen hozzájárulnak a tantárgy eredményes teljesítéséhez)
None
General rules
Requirements: a.       During the semester: During the semester, students work in teams to solve individual tasks using a project-based approach. The project consists of sub-tasks, and students receive evaluations for the presentations and assignments related to the project. b.      In the examination period: Written and/or oral exam. If the exam is successfully completed, the final grade is a weighted average of the exam and the semester work, with the semester work counting for 40% of the total. c.       Condition for the signature: each partial score must reach at least 40%.
Assessment methods
In-term assessments

No detailed assessments provided.

Weight of in-term assessments

No weights provided.

Exam-period assessments

No detailed assessments provided.

Weight of exam elements

No weights provided.

Grade calculation

No grade thresholds provided.

Attendance requirements

No attendance requirements provided.

Rules for retake and resubmission

Not provided.

Short description

Not provided.

Detailed description

Not provided.

Recommended courses
Deep learning
Workload to complete the subject

No workload breakdown provided.

Validity of subject requirements
Requirements valid from:
Requirements valid until:
Curriculum placement

No curriculum placements recorded for this subject version.