Basics of Programming — a structured intro to algorithms and Python

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

1. History of computing.
2. Algorithms and algorithmic structures.
3. Getting started with Python: syntax and basic operations.
4. Algorithmic structures in Python: conditionals, loops.
5. Modularity in programs: functions, modules.
6. Python data types.
7. Object-oriented programming.
8. 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.