The course covers foundational programming concepts and algorithms, showing how to build simple Python programs. Content is organized into 8 video lectures with exercises.
Language of course:
Ukrainian
Format of the event:
Video lectures
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Course overview
Description generated based on course syllabus and open data.
Basics of Programming: course overview
The program covers the evolution of personal computers, fundamental algorithm concepts, and building simple Python applications. Materials include 8 video lectures and self-check exercises.
Who it suits / who it does not: Basics of Programming
Suitable for
- Beginners seeking to understand how computers work and what an algorithm is.
- School and university students interested in computer science and Python.
- Professionals from adjacent fields who need programming fundamentals.
- Career changers looking for a foundation for further study.
Not suitable for
- Those expecting deep dives into frameworks or large-scale projects.
- Learners seeking quick outcomes without theory and practice.
Problem → outcome: Basics of Programming
- Problem: No systematic view of how programs work. Target learning outcome: a coherent picture of algorithmic principles and code execution.
- Problem: Hard to choose a first language. Target learning outcome: baseline Python skills for future growth.
- Problem: Theory without practice. Target learning outcome: reinforcement through exercises and simple tasks.
Comparison with alternatives: Basics of Programming vs. other paths
- Self-study: flexible but fragmented; this course provides a structured sequence from PC history to OOP.
- Bootcamps/intensives: fast-paced with a high entry threshold; here the focus is on fundamentals without tool overload.
- Videos without tasks: provide an overview; this program includes self-check exercises and a forum for questions.
Outcomes from studying: Basics of Programming
- Understanding the development of computing and the context of modern programming.
- Work with core control and data structures: variables, conditionals, loops.
- Introduction to modularity, functions, and code organization principles.
- Familiarity with OOP in Python: classes, objects, methods.
- Overview of common algorithm types and approaches to their analysis.
Curriculum and modules: Basics of Programming in Python
- History of computing.
- Algorithms and algorithmic structures.
- Getting started with Python: syntax and basic operations.
- Algorithmic structures in Python: conditionals, loops.
- Modularity in programs: functions, modules.
- Python data types.
- Object-oriented programming.
- Algorithm types with practical examples.
Format and language: Basics of Programming
- 8 video lectures with self-check exercises.
- Materials available at a convenient time; internet required for viewing.
- Language of instruction: Ukrainian.
- A certificate is provided upon successful completion of all tasks.
Evaluation
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