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Web Technologies

Web Technologies

Course Information

CourseWeb Technologies CodeWTXB313
Directions60610100 – Computer Sciences and Programming Technologies Form of StudyFull-time
Semester5, 6 Total Hours, Credit360, 12
Lectures60 Practical Lessons60
Laboratory60 Independent Work180
Subject TeacherUlugbek Salaev Taught LanguageEnglish

Lectures – Semester V

CodeTopicMaterial
M1Evolution of Web Technologies, Basic Concepts and Architecture (HTML, CSS, JS, HTTP, Server–Browser Architecture)Download
M2Fundamentals of Web Design: User Interface (UI) and User Experience (UX)Download
M3Client–Server Architecture. Web Browsers and Their ArchitectureDownload
M4Version Control Systems: Introduction to Git and GitHubDownload
M5Basics of HTML: Document Structure, Tagging, Text and Basic ElementsDownload
M6Working with Lists, Tables and Graphic Elements in HTMLDownload
M7HTML Forms: Elements, Attributes, ValidationDownload
M8Using Image Maps (Imagemap) and Interactive ImagesDownload
M9Basics of CSS: Styles, Selectors, Colors, Fonts and BackgroundDownload
M10CSS Blocks and Box Model: Dimensions, Borders, ShadowsDownload
M11CSS Positioning: Layers, Media Queries and Responsive DesignDownload
M12Introduction to JavaScript: Syntax, Variables, Data Types, OperatorsDownload
M13JavaScript Data Structures: Arrays, Objects, Strings, Date Types, Regular ExpressionsDownload
M14DOM and Interactive Work with Web Pages: Selecting and Modifying ElementsDownload
M15Working with Events: Event Listeners, Event Flow and PropagationDownload

Practical Lessons – Semester V

CodeTopicMaterial
A1HTML Document CreationDownload
A2Working with Text, Lists, and TablesDownload
A3Creating and Editing FormsDownload
A4Text Styling with CSSDownload
A5CSS Flexbox and Grid ExamplesDownload
A6Basic JavaScript OperationsDownload
A7Modifying DOM ElementsDownload
A8Working with JavaScript EventsDownload
A9Data Exchange with JSONDownload
A10AJAX RequestsDownload
A11Creating a PHP ScriptDownload
A12Processing Form Data in PHPDownload
A13Connecting and using a MySQL tableDownload
A14PHP – MySQL CRUD OperationsDownload
A15Creating a File Upload ModuleDownload

Main References

No. Reference
1 Daniel Jurafsky and James H. Martin.(2025) Speech and Language Processing (3rd ed.). Source
2 Yoav Goldberg (2017). Neural Network Methods for Natural Language Processing. Source
3 Viktoria Szabo, Marianna Plesiak, Rui Yang (2020) Modern Approaches in Natural Language Processing. Source

Additional References

No. Reference
1 Stanford University — CS224N: NLP with Deep Learning: (Video lectures)
2 Stanford Online — CS224U: Natural Language Understanding: (YouTube lectures)
3 University of Oxford — Deep Learning for NLP (YouTube lectures): Oxford CS Channel
4 ACL Anthology – Digital Library of NLP and Information Retrieval Research.
5 MIT — Introduction to Deep Learning (relevant NLP sections): MIT OpenCourseWare

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