Programming basics

About Study Course

Department: Faculty of Social Sciences

ECTS:3

Course supervisor:Agate Ambulte

Study type:Full time

Course level:Master's

Target audience:Business Management; Information and Communication Science; Management Science

Language:Latvian, English

Study course description Full description, Full time

Branch of science:Electrical engineering, Electronic engineering, Information engineering

Objective

The aim of this Python programming course is to provide students with a comprehensive foundation in Python programming, equipping them with the knowledge, skills, and competencies needed to solve real-world problems, design efficient and user-friendly applications, and engage in continuous professional development. By mastering Python's control structures, data structures, functions, and object-oriented programming principles, students will develop the ability to create structured, reusable software solutions while critically evaluating and selecting appropriate programming methods for diverse project needs.

Prerequisites

To successfully participate in this course, students should have basic computer literacy, including familiarity with using a computer, managing files and folders, and navigating a modern operating system. A solid foundation in basic arithmetic and mathematical operations, as well as familiarity with fundamental concepts like variables and simple equations, will also be helpful. Additionally, proficiency in English is essential for reading and understanding technical materials, as most programming resources and documentation are available in English. Prior programming experience is not mandatory, but a willingness to learn and experiment with new concepts is crucial for success in this course.

Learning outcomes

Knowledge

1.List basic elements of Python programming language and explain their application.

Skills

1.Build and use Python control structures and data structures to solve real-world problems.

Competence

1.Apply Python programming language capabilities to solve real-life problems and plan projects efficiently.

Study course planning

Planning period:Year 2025, Autumn semester

Study programme	Study semester	Program level	Study course category	Lecturers	Schedule
Digital Strategy and Artificial Intelligence Management	1	Master's	Limited choice	Verners Gavilovskis
Digital Strategy and Artificial Intelligence Management	1	Master's	Limited choice	Verners Gavilovskis

Programming basics (SZF_166)

Objective

Prerequisites

Learning outcomes

Study course planning