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गुरुर्ब्रह्मा गुरुर्विष्णु गुरुर्देवो महेश्वरा गुरुर्साक्षात परब्रह्म तस्मै श्री गुरवे नमः !

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BRAINHEALERS
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      • 1. Entrenerprenaurship Foundations Linkedin Learning
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      • 4. Creating a Business Plan
      • 5. Social Selling: Reaching Prospects
      • 6. Virtual Selling for Sales Professionals
      • 7. Social Media Marketing for Small Business Answers
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    • Time Management & ways of thinking
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    • R Language for ML
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      • WEEK-1 INTO
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      • Module 1: Introduction to Supervised Machine Learning
      • Module 2: Data Splits and Polynomial Regression
    • Web Application Development using Mongo DB | Coursera
      • WEEK-1 WEB
      • WEEK-2
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    • Data Visualization with R
      • WEEK-1
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    • Principles of UX/UI Design (Meta) ( 22GPB208 )
      • WEEK-1 UX/UI
        • Introduction to the principles of UX and UI design
        • A day in the life of a Meta product designer
        • Introduction to UX and UI
        • A day in the life of a Meta product manager
        • DISCUSSION FORUM
        • Final project overview
        • UX UI Core syllabus
        • How to be successful in this course
    • Introduction to Psychology
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      • All weeks answer
    • Fundamentals of Visualization with Tableau
      • WEEK-1 VISUALIZATION
      • WEEK-2 VISUALIZATION
      • WEEK-3 VISUALIZATION
      • WEEK-4 VISUALIZATION
    • Exploratory Data Analysis for Machine Learning
      • Module 1: A Brief History of Modern Al and its Applications
      • Module 2: Retrieving Data
      • Module 3: Exploratory Data Analysis & Feature Engineering
      • Module 4: Estimation and Inference, and Hypothesis Testing
    • Machine Learning with Python
      • Module 1: Introduction to Machine Learning
      • Module 2: Regression
      • Module 3: Classification
      • Module 4: Linear Classification
      • Module 5: Clustering
      • Module 6: Final Quiz
    • Introduction to Computer Vision & Image Processing
      • Module 1: Introduction to Computer Vision
      • Module 2: Image Processing with OpenCV and Pillow
      • Module 3: Machine Learning Image Classification
      • Module 4: Neural Networks and Deep Learning for Image Classification
      • Module 5: Object Detection
    • The Sustainable Development Goals – A global, transdisciplinary vision
    • The Science of Well-Being (Yale University)
    • Learning How to Learn: Powerful mental tools
  • INFOSYS
    • Data Science using R (2022)
    • Advanced Data Science using R
      • Quiz & Assignment-1
      • Quiz & Assignment-2
      • Quiz & Assignment-3
    • DEVOPS
    • Intro. to Data Science
    • Blockchain Essentials and Development of DApps
      • Quiz & Assignment -1
      • Quiz & Assignment -2
      • Quiz & Assignment -3
      • Create Ethereum & Blockchain Application using solidity
    • Programming Fundamentals using Python - Part 1
    • Introduction to Natural Language Processing
    • Introduction to Deep Learning
    • Generative models for developers
    • Deep Learning for Developers
    • Introduction to OpenAI GPT Models
    • OpenAI Generative Pre-trained Transformer 3 (GPT-3) for developers
    • Introduction to Artificial Intelligence
    • Computer Vision 101
    • REACT
  • NPTEL
    • DISCRETE MATHEMATICS (July-Dec 2022)
      • WEEK 0
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    • ETHICAL HACKING
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      • 21CST-251 SOFTWARE ENGINEERING
        • 1.1 what is software engineering
        • 1.2 Software Process
        • 1.3 SDLC
        • 1.4 SDLC MODELS
        • 1.5 Requirement Engineering
        • 2.1 Waterfall Model
        • 2.2 RAD Model
        • 2.3 Spiral Model
        • 2.4 V-Model
        • 2.5 Incremental Model
        • 2.6 Agile Model
        • 2.7 Iterative Model
        • 2.8 Big-Bang Model
        • 2.9 Prototype Model
        • 3.1 Project Management
        • 3.2 Activities
        • 3.3 Project Management Tools
        • 4.1 Software Metrics
        • 4.2 Size Oriented Metrics
        • 4.3 Halstead's Software Metrics
        • 4.4 Functional Point (FP) Analysis
        • 4.5 Extended Function Point (EFP) Metrics
        • 4.6 Data Structures Metrics
        • 4.7 Information Flow Metrics
        • 4.8 Cyclomatic Complexity
        • 4.9 Case Tools for Software Metrics
        • 5.1 Software Project Planning
        • 5.2 Software Cost Estimation
        • 5.3 COCOMO Model
        • 5.4 Putnam Resource Allocation Model
        • 6.1 Risk Management
        • 6.2 Risk Management Activites
        • 6.3 Project Scheduling
        • 6.4 Personnel Planning
        • 7.1 Software Requirement Specifications
        • 7.2 Requirement Analysis
        • 7.3 Data Flow Diagrams
        • 7.4 Data Dictionaries
        • 7.5 Entity-Relationship Diagram
        • 8.1 Software Configuration Management
        • 8.2 SCM Process
        • 8.3 Software Quality Assurance
        • 8.4 Project Monitoring & Control
        • 9.1 Software Quality
        • 9.2 ISO 9000 Certification
        • 9.3 SEICMM
        • 9.4 PCMM
        • 9.5 Six Sigma
        • 10.1 Software Design
        • 10.2 Software Design Principles
        • 10.3 Coupling & Cohesion
        • 10.4 Function Oriented Design
        • 10.5 User Interface design
        • 11.1 Coding
        • 11.2 Programming style
        • 11.3 Structures Programming
        • 12.1 Software Reliability
        • 12.2 Software Failure Mechanics
        • 12.3 Software Reliability Measurement Techniques
        • 12.4 Software Reliability Metrics
        • 12.5 Software Fault Tolerance
        • 13.1 Software Reliability Models
        • 13.2 Jelinski & Moranda Model
        • 13.3 Basic Execution Time Model
        • 13.4 Goel-Okumoto (GO) Model
        • 13.5 Musa-Okumoto Logarithmic Model
        • 14.1 Software Maintenance
        • 14.2 Causes of Software Maintenance Problems
        • 14.3 Software Maintenance Cost Factors
        • Software Eng. MCQ'S
          • Software Eng. MCQ'S
        • Software Testing Tutorial
      • 21TDP-251 SOFT SKILLS
      • 21UCT-202 ETHICS AND GENDER EQUALITY
      • 21UCT-296 LIFE SKILLS & MENTORING 296
      • 21SMT-257 PROBABLITY & STATISTICS (Through SWAYAM)
        • WEEK 0
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      • 21CST-260 DSA & ANALYSIS
      • 21CST-252 COMPUTER ORGANSIZATION & ARCHITECTURE
      • 21CSP-259 PROGRAMMING IN PYTHON LAB
      • 21CSH-256 COMPUTER NETWORKS
    • SEM-5
      • (SEM-5) Question Paper
    • SEM-6
      • Quantum Mechanics
    • The Sustainable Development Goals – A global, transdisciplinary vision for
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  • LOGOUT
  • More
    • HOME
    • LINKEDIN LEARNING
      • Entrepreneurship
        • 1. Entrenerprenaurship Foundations Linkedin Learning
        • 2. Use an Entrepreneurial Mindset to Find Success Chapter Quiz
        • 3. Unique Ways to Generate Creative Ideas Answers
        • 4. Creating a Business Plan
        • 5. Social Selling: Reaching Prospects
        • 6. Virtual Selling for Sales Professionals
        • 7. Social Media Marketing for Small Business Answers
        • 8. Social Media Marketing for Small Business
        • 9. Leading in Government
        • 10. Project Management: Government Projects
      • Time Management & ways of thinking
      • Creativity & critical Thinking
      • Learning & Problem Solving
      • Academic Paper writing & IPR
      • Become a successful job hunter
      • Team skills
      • Become a Business Analytics & Developing Manager
      • Ethics & Gender Equality
      • Interpersonal Skills with Cultural Knowledge & Intrapersonal Awareness
    • COURSERA
      • Twitter Clone Front-End with ReactJS (Quiz)
      • R Language for ML
        • QUIZ-1
        • QUIZ-2
        • QUIZ-3
      • Cloud computing
        • Cloud Computing -1
        • Cloud computing -2
        • Virtual Private Cloud
      • Intro to AR/VR/MR/XR: Technologies, Applications & Issues
        • WEEK-1 AR
        • WEEK-2
        • WEEK-3
        • WEEK-4
      • Front End Development
        • WEEK-1
        • WEEK-2
        • WEEK-3
        • WEEK-4
      • ML & DL using TensorFlow
        • WEEK-1 ML
        • WEEK-2
        • WEEK-3
        • WEEK-4
      • Java for Android | Coursera
        • WEEK-1 JAVA
        • WEEK-2
        • WEEK-3
        • WEEK-4
      • Introduction to Agile Development and Scrum
        • WEEK-1 INTO
        • WEEK-2
        • WEEK-3
      • Supervised Machine Learning: Regression
        • Module 1: Introduction to Supervised Machine Learning
        • Module 2: Data Splits and Polynomial Regression
      • Web Application Development using Mongo DB | Coursera
        • WEEK-1 WEB
        • WEEK-2
        • WEEK-3
      • Data Visualization with R
        • WEEK-1
        • WEEK-2
        • WEEK-3
        • WEEK-4
      • SUMMER TRAINING COURSES 2022
      • Principles of UX/UI Design (Meta) ( 22GPB208 )
        • WEEK-1 UX/UI
          • Introduction to the principles of UX and UI design
          • A day in the life of a Meta product designer
          • Introduction to UX and UI
          • A day in the life of a Meta product manager
          • DISCUSSION FORUM
          • Final project overview
          • UX UI Core syllabus
          • How to be successful in this course
      • Introduction to Psychology
        • WEEK-1 Psychology
        • WEEK-2 Psychology
        • WEEK-3 Psychology
        • WEEK-4 Psychology
        • WEEK-5 Psychology
        • WEEK-6 Psychology
      • Introduction to Web Development with HTML, CSS, JavaScript
        • WEEK-1 WEB_D
        • WEEK-2 WEB_D
      • Innovation Through Design: Think, Make, Break, Repeat The University of Syd
        • WEEK-1 DESIGN
        • WEEK-2 DESIGN
        • WEEK-3 DESIGN
        • WEEK-4 DESIGN
        • WEEK-5 DESIGN
        • All weeks answer
      • Fundamentals of Visualization with Tableau
        • WEEK-1 VISUALIZATION
        • WEEK-2 VISUALIZATION
        • WEEK-3 VISUALIZATION
        • WEEK-4 VISUALIZATION
      • Exploratory Data Analysis for Machine Learning
        • Module 1: A Brief History of Modern Al and its Applications
        • Module 2: Retrieving Data
        • Module 3: Exploratory Data Analysis & Feature Engineering
        • Module 4: Estimation and Inference, and Hypothesis Testing
      • Machine Learning with Python
        • Module 1: Introduction to Machine Learning
        • Module 2: Regression
        • Module 3: Classification
        • Module 4: Linear Classification
        • Module 5: Clustering
        • Module 6: Final Quiz
      • Introduction to Computer Vision & Image Processing
        • Module 1: Introduction to Computer Vision
        • Module 2: Image Processing with OpenCV and Pillow
        • Module 3: Machine Learning Image Classification
        • Module 4: Neural Networks and Deep Learning for Image Classification
        • Module 5: Object Detection
      • The Sustainable Development Goals – A global, transdisciplinary vision
      • The Science of Well-Being (Yale University)
      • Learning How to Learn: Powerful mental tools
    • INFOSYS
      • Data Science using R (2022)
      • Advanced Data Science using R
        • Quiz & Assignment-1
        • Quiz & Assignment-2
        • Quiz & Assignment-3
      • DEVOPS
      • Intro. to Data Science
      • Blockchain Essentials and Development of DApps
        • Quiz & Assignment -1
        • Quiz & Assignment -2
        • Quiz & Assignment -3
        • Create Ethereum & Blockchain Application using solidity
      • Programming Fundamentals using Python - Part 1
      • Introduction to Natural Language Processing
      • Introduction to Deep Learning
      • Generative models for developers
      • Deep Learning for Developers
      • Introduction to OpenAI GPT Models
      • OpenAI Generative Pre-trained Transformer 3 (GPT-3) for developers
      • Introduction to Artificial Intelligence
      • Computer Vision 101
      • REACT
    • NPTEL
      • DISCRETE MATHEMATICS (July-Dec 2022)
        • WEEK 0
        • WEEK-1
        • WEEK-2
        • WEEK-3
        • WEEK-4
        • WEEK-5
        • WEEK-6
        • WEEK-7
        • WEEK-8
        • WEEK-9
        • WEEK-10
        • WEEK-11
        • WEEK-12
      • DISCRETE MATHEMATICS (Jan-April 2023)
        • WEEK-0
        • ASSIGNMENT SOLUTIONS
      • ETHICAL HACKING
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Week 1 >> Principles of UX/UI Design 

Introduction to the principles of UX and UI design

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Introduction to the principles of UX and UI design

Hello and welcome to this course on the principles of user experience and user interface, or UX and UI for short. UX and UI are all about people. Everyone wants to experience the latest technology, but they don't want to spend too much time or strain their already busy minds' doing so. Therefore, if you want a website to be successful, it is crucial to get both correct. This course will give you an introduction to UX and UI. There is a lot more to be learned about these disciplines. However, the course will give you a sample and an understanding of what is involved. The course is structured around a situation that Adrian and Mario are having with their Little Lemon Restaurant website. The website was designed and coded without UX and UI principles applied to the online elements of ordering food for delivery and reserving a table in the restaurant. Throughout the course, you'll be guided through the process of UX and UI methodologies to resolve one of these issues, ordering food online from their website via a mobile device. The other issue, reserving a table, will be the theme of your final course assignment. That's just a brief overview of what the course will be like. But it does serve to illustrate some of the tasks UX and UI professionals encounter. During the course, you'll be introduced to these and the many other tasks that form the duties of a UX and UI professional. In particular, you will learn to differentiate UX and UI, use Figma, one of the most popular design tools today, evaluate interactive designs, create a contemporary user interface. You will also learn to create a low-fidelity design, simple and low-tech concept. All you need for that is a pen and paper and transform it into a high-fidelity design which is functional and interactive and very close to the final product. Finally, create a prototype. Don't worry about these terms if you're not familiar with them, you will cover them throughout your journey in this course. In other words, in the course project, you will get to create a prototype or a mock-up of the final proposed design which can be tested to validate ideas and design assumptions made. But you can relax, you're not expected to become a UX or UI professional right now. There are many videos in your course that will gradually guide you toward that goal. Watch, pause, rewind, and re-watch the videos until you're confident in your skills. Then consolidate your knowledge by consulting the course readings and put your skills into practice during the course exercises. Along the way, you'll encounter several knowledge quizzes where you can self-check your progress. Just like you, there are a number of people considering a career as a UX/UI professional, and the course discussion prompts will enable you to connect with them, your classmates, as you move through the materials. It's a great way to share knowledge, discuss difficulties, and make new friends. To be successful in this course, it is helpful to commit to a regular and disciplined approach to learning. You need to be serious about your study and if possible, map out a study schedule with dates and times so you can devote to attending the course. It's an online self-paced course, but it does help to think of your study in terms of regular attendance at a learning institute. In summary, this course provides you with a complete introduction to UX and UI. Best of luck in your learning journey. 









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