Basics of programming and telecommunications (5 cr)

Objective

You know how to set up your programming environment for machine learning.
You understand the basic structures of programming and can build simple procedural programs.
You know how to create functions and use basic data types, arrays, and other fundamental data structures.
You can recognize more advanced programming structures and features.
You have a basic understanding of the machine learning libraries.

Content

What are the basic data types, and how are they represented in a computer?
What are variables and functions, as well as conditional and loop structures?
How is a simple program constructed? How is it compiled, installed, and run?
What libraries are used in machine learning?

Course material

The study material of the course is determined at the opening lecture

Study forms and methods

Scheduled track:
You will attend teaching and guidance sessions as specified in the schedule.

Independent track:
Not applicable

Blended track:
Not applicable

RDI and work-related cooperation

Course does not include RDI co-operation.

Timing of exams and assignments

All exams must be agreed with the teacher before registering for the exam, and retake exams must be completed in the schedule according to the degree regulations.

Student workload

135 h

Course part description

Programming: environment, structure, data types, functions, objects, classes, libraries

Telecommunication technology: networks, routing, cabling

Evaluation scale

1-5

Assessment methods and criteria

Exams and any study assignments that affect the evaluation are agreed upon in the introductory lecture of the course.