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Факультет информационных технологий

Information and Communication Technologies


Для зачисления на курс требуется приглашение

About This Course

This is an introductory course to computer science and information and communication technologies. It covers the history and development of ICT, its role in modern society, the principles of computer hardware and software, information processing, and human–computer interaction.

The course combines theoretical learning with practical activities in document preparation, spreadsheet processing, database management, presentation development, web-page creation, and the use of digital communication tools.

Students are also introduced to emerging ICT fields, including cloud and mobile technologies, multimedia, smart systems, green technologies, e-technologies, artificial intelligence, generative models, and interdisciplinary applications of ICT.

Course Purpose

To develop students’ computer and digital literacy, introduce the fundamental concepts of computer science, and build practical skills for the effective, safe, and responsible use of modern information and communication technologies in academic, professional, and everyday contexts.

Course Objectives

  • Explain the main concepts, history, development stages, and application areas of ICT.
  • Introduce the architecture, hardware, software, and operating principles of computer systems.
  • Develop practical skills in office applications, databases, web technologies, and multimedia tools.
  • Build an understanding of computer networks, telecommunications, cloud services, and mobile technologies.
  • Develop safe and responsible behaviour in digital environments, including cybersecurity and personal-data protection.
  • Introduce smart, green, industrial, and electronic technologies used in education, business, government, and professional practice.
  • Develop basic skills in the responsible use of artificial intelligence and generative models.

Learning Outcomes

Upon successful completion of the course, students will be able to:

  1. Explain the fundamental concepts, development history, architecture, and social role of information and communication technologies.
  2. Use computer hardware, operating systems, office applications, databases, and basic web technologies to complete academic and professional tasks.
  3. Apply network, internet, cloud, mobile, and communication technologies safely and effectively.
  4. Analyse the functions and applications of multimedia, smart, green, electronic, and industrial technologies in different professional fields.
  5. Explain the fundamentals of artificial intelligence and generative models and apply them responsibly to interdisciplinary tasks.

Learning Outcome Achievement Indicators

Indicators for LO 1

  • LO 1.1 – Defines the principal terms and concepts of ICT.
  • LO 1.2 – Describes the major stages in the development of ICT and the digital revolution.
  • LO 1.3 – Explains the role of ICT in society, education, science, business, and everyday life.

Indicators for LO 2

  • LO 2.1 – Identifies the main components of computer architecture and explains their functions.
  • LO 2.2 – Uses operating systems and office applications to create and process digital content.
  • LO 2.3 – Creates basic databases, presentations, spreadsheets, documents, and web pages.

Indicators for LO 3

  • LO 3.1 – Explains network architecture, topology, hardware, and software components.
  • LO 3.2 – Uses internet, cloud, mobile, and digital communication services.
  • LO 3.3 – Applies cybersecurity, privacy, and personal-data protection practices.

Indicators for LO 4

  • LO 4.1 – Describes multimedia, smart, green, electronic, and industrial technologies.
  • LO 4.2 – Evaluates the advantages and limitations of emerging technologies.
  • LO 4.3 – Selects appropriate ICT tools for academic and professional tasks.

Indicators for LO 5

  • LO 5.1 – Explains the basic concepts of artificial intelligence and generative models.
  • LO 5.2 – Creates effective prompts and applies generative AI tools to practical tasks.
  • LO 5.3 – Critically evaluates AI-generated outputs and follows academic integrity, copyright, privacy, and ethical requirements.

Course Module Structure

Module 1. Introduction to ICT
Module 2. Basic Application Software
Module 3. Communication Types in ICT
Module 4. Perspective Fields in ICT
Module 5. Fundamentals of Artificial Intelligence: From Generative Models to Interdisciplinary Applications

Syllabus

Week Topic Learning Focus
1 History of ICT and Its Role in the Development of Society Identify important stages in the development of ICT; explain the digital revolution and the importance of ICT in everyday life.
2 Introduction to Computer Systems and Computer Architecture Explain how information is stored and processed in a computer and identify the main hardware components.
3 Software and Operating Systems Differentiate between types of software and explain the principles and functions of operating systems.
4 Human–Computer Interaction Explain how interactive computer systems are designed and used and how computers affect individuals, organisations, and society.
5 Database Systems Compare database organisation models and develop practical skills in using database management systems.
6 Office Suites: Word, Excel, and PowerPoint Apply the theoretical foundations of office applications and develop practical skills in document, spreadsheet, and presentation preparation.
7 Networks and Telecommunications Explain network architecture, topology, hardware, software, and communication principles.
8 Cybersecurity Identify common internet threats and apply virus protection, account security, privacy, and personal-data protection measures.
9 Internet Technologies Describe the development of the internet, use e-mail and social services, and develop basic practical skills in HTML, CSS, and JavaScript.
10 Cloud and Mobile Technologies Explain cloud-service models and mobile technologies and evaluate their influence on modern society.
11 Multimedia Technologies Identify multimedia components and analyse their applications in education, entertainment, healthcare, and public services.
12 Smart Technologies Explore smart homes, smart devices, green energy, and environmentally sustainable technologies.
13 E-Technologies: E-Business, E-Learning, and E-Government Apply e-technologies to study and business tasks and evaluate the advantages and limitations of e-government services.
14 Information Technologies in the Professional Sphere and Industrial ICT Select digital tools and technologies that support professional and industrial tasks.
15 Future Development of ICT and Artificial Intelligence Analyse future ICT trends and apply basic generative AI tools to interdisciplinary tasks in education, medicine, finance, science, and business.

Prerequisites

  • Basic knowledge of secondary-school informatics.
  • Basic skills in using computers and mobile devices.
  • Basic internet search and digital communication skills.

Postrequisites

  • Digital Technologies in Professional Practice.
  • Data Processing and Analysis.
  • Information Systems.
  • Fundamentals of Artificial Intelligence.
  • Profession-Oriented Application Software.

Knowledge Assessment System Specification

Assessment Type Content and Format Number Assessed LOs Maximum Score Final Weight
Homework Individual written and applied assignments based on the module content 5 LO 1–LO 5 30 30%
Laboratory Work Practical tasks completed using relevant software, digital services, and ICT tools 7 LO 2–LO 5 70 70%
Midterm Assessment Intermediate progress check based on completed homework and laboratory activities 1 LO 1–LO 3 100 Recorded separately
Final Course Grade Homework and laboratory work 12 graded tasks LO 1–LO 5 100 100%
Note: assessment activities are distributed across all modules and account for at least 10% of the total course content. The Midterm is recorded as a separate 100-point progress checkpoint and is not added again to the final 100% course grade.

Assessment Structure

Homework — 30%

Homework Assignment Score
ICT history, digital society, and computer architecture 6
Software, operating systems, and human–computer interaction 6
Networks, cybersecurity, and internet technologies 6
Cloud, mobile, multimedia, smart, and e-technologies 6
Future ICT trends and responsible use of artificial intelligence 6
Total 30

Laboratory Work — 70%

Laboratory Assignment Score
Computer hardware, operating system, and file-management tasks 10
Document preparation in Microsoft Word 10
Data processing and visualisation in Microsoft Excel 10
Presentation development in Microsoft PowerPoint 10
Database creation and processing in Microsoft Access 10
Basic web page development using HTML and CSS 10
Practical application of cloud services and generative AI tools 10
Total 70

Assessment Criteria

Homework Assessment

Criterion Maximum Weight Excellent Good Satisfactory Unsatisfactory
Accuracy of content 10% Information is accurate, relevant, and conceptually sound Mostly accurate with minor errors Partially accurate; important gaps are present Content is largely inaccurate or missing
Completeness 8% All requirements are fully addressed Most requirements are addressed Only the basic requirements are addressed Most requirements are not addressed
Analysis and application 7% Ideas are analysed and applied to appropriate examples Analysis is generally correct but limited Analysis is mostly descriptive No meaningful analysis or application is provided
Structure, presentation, and deadline 5% Clear, well organised, properly formatted, and submitted on time Minor structural or formatting issues Several presentation issues or late submission Poorly structured, improperly formatted, or not submitted
Total 30%  

Laboratory Work Assessment

Criterion Maximum Weight Excellent Good Satisfactory Unsatisfactory
Functional correctness 25% The solution works correctly and produces the required result The solution works with minor errors The solution works only partially The solution does not work or is missing
Use of ICT tools 15% Tools and functions are selected and used efficiently Tools are used correctly with minor limitations Basic tools are used with assistance Required tools are not used appropriately
Completeness of the task 15% All task requirements are fully completed Most requirements are completed The task is only partially completed Most requirements are not completed
Analysis and explanation of results 10% Results are clearly interpreted and justified Explanation is correct but incomplete Explanation is superficial No explanation is provided
Presentation and deadline 5% Work is properly formatted and submitted on time Minor formatting issues are present Several formatting issues or late submission Formatting requirements are not followed or work is not submitted
Total 70%  

Midterm Performance Levels

Level Performance Indicator Score
Excellent Demonstrates comprehensive knowledge and applies ICT tools independently and accurately 90–100
Good Demonstrates sound knowledge and applies ICT tools with minor errors 75–89
Satisfactory Demonstrates basic knowledge and completes practical tasks partially 50–74
Unsatisfactory Does not demonstrate the minimum required knowledge or practical skills 0–49

Alignment of Learning Outcomes and Assessment Tools

Learning Outcome Assessment Tools
LO 1 Homework 1–2 and Midterm Assessment
LO 2 Homework 2; laboratory work in operating systems, Word, Excel, PowerPoint, Access, and web development; Midterm Assessment
LO 3 Homework 3; laboratory work in internet, cloud, communication, and cybersecurity tools; Midterm Assessment
LO 4 Homework 4 and practical tasks involving multimedia, smart, green, and e-technologies
LO 5 Homework 5 and laboratory work involving cloud services and generative AI tools

About the author

Course Staff Image #1

Sevryugin Ilya Valeryevich

2010-2012 – Master of Natural Sciences in Mathematics, al-Farabi KazNU.
2010-2015 – Analyst at TNS Central Asia.
2016 - Lead Expert at Professional programs development center.
2016-2017 - Lead Expert at Accreditation and licensing division.
2016-2018 - Lecturer of computer science at al-Farabi KazNU.
2017-2019 - Director of Center of career and professional development.
The author is responsible for the theoretical part of the course. Thanks to experience in various fields, the course offered by the author will be interesting to specialists of various future professions.
ilya.sevrugin@gmail.com

Course Staff Image #2

Nesterenkov Petr Alexandrovich

2010-2012 – Master of Natural Sciences in Computer Science, al-Farabi KazNU.
2015-2019 – Lecturer at Faculty of information technology, al-Farabi KazNU.
2015-2018 - Leading Research Expert at a Solar energy project.
2015-2016 - Winner of “Russian Start – up tour 2015 Almaty” and “Russian Start – up tour 2016 Almaty” in the field of Green technologies.
The author is responsible for the practical part of the course. Thanks to a great practical experience in computer science and extensive teaching experience, developed practical course will be very useful for both IT specialists and beginners.
stolkner@gmail.com

  1. Номер курса

    ICT_01
  2. Начало курса

  3. Занятия заканчиваются

  4. Трудоёмкость курса

    2 часа
  5. Сложность курса

    Средний