Warsaw, Poland

Artificial Intelligence and Machine Learning
(field of studies: Computer Science)

Bachelor's
Table of contents
3d-illustration-robot-humanoid-reading-book(1)

⇑Artificial Intelligence and Machine Learning at SWPS

Field of studies: Computer Science
Language: EnglishStudies in English
Subject area: computer science
Kind of studies: full-time studies
  • Description:

  • pl
University website: english.swps.pl

⇑Why choose the Artificial Intelligence and Machine Learning specialisation at SWPS University?

Dlaczego warto studiować na Uniwersytecie SWPS
Why study it:

The Artificial Intelligence and Machine Learning specialisation is part of the Computer Science programme, a bachelor's course at SWPS University lasting 3.5 years and taught in English. It is for you if you want to build systems that mimic human intelligence.

Programme: from data to intelligent systems

You learn how to design, develop and use systems that mimic human intelligence. The track builds on the core years of the programme, so when you choose it in the fifth semester you already have the programming, mathematics and data analysis foundations. From there you concentrate on machine learning, natural language processing and data analysis, and a large part of the classes take the form of practicals.

In the final semester you focus on advanced aspects of the track while completing your BA thesis.

Specialisation: classes in the track

Selected classes in this specialisation include:

  • advanced methods of data analysis
  • explainable AI models
  • computer vision
  • natural language processing
  • selected advanced methods of machine learning in data analysis

Labs: cloud resources for your models

Practical work relies on cloud resources, because the university labs have direct access to Microsoft Azure and Google Cloud, where you can use virtual machines, data storage and big data computing for your projects.

After graduation: AI roles in many sectors

The track prepares you for careers in sectors that use advanced technologies, such as industry, health care, finance and automation. Typical roles include Data Analyst, Artificial Intelligence Engineer, Natural Language Processing Specialist and Software Developer.

Combined with the humanities and social sciences components of the programme, your skills let you develop and evaluate prediction models that use machine learning in areas such as medicine, banking, marketing or pharmacology.

Based on the programme pages at swps.pl.

⇑Test: Is Artificial Intelligence and Machine Learning the right fit for you?

students-testing-a-small-white-robot-with-a-laptop-test

10 questions · two minutes

1. How do you feel about programming?

2. How do you get on with maths at school, especially functions, probability and matrices?

3. A streaming app recommends exactly the kind of film you like. What goes through your mind?

4. Your code has had a bug for two hours. How do you react?

5. Lectures, coding projects and documentation will be in English, in a group of students from many countries. How does that sound?

6. You get a messy spreadsheet full of gaps and typos to analyse. What do you do?

7. You train a program to tell cats from dogs, but it keeps getting some pictures wrong. How do you react?

8. You read a headline claiming AI will soon replace every job. What do you think?

9. Your friends suggest spending a weekend at a hackathon building an app together. Are you in?

10. What motivates you most to study Artificial Intelligence and Machine Learning?

⇑Definitions and quotes

Artificial Intelligence
Artificial intelligence (AI, also machine intelligence, MI) is intelligence demonstrated by machines, in contrast to the natural intelligence (NI) displayed by humans and other animals. In computer science AI research is defined as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals. Colloquially, the term "artificial intelligence" is applied when a machine mimics "cognitive" functions that humans associate with other human minds, such as "learning" and "problem solving".
Intelligence
Intelligence has been defined in many different ways to include the capacity for logic, understanding, self-awareness, learning, emotional knowledge, reasoning, planning, creativity, and problem solving. It can be more generally described as the ability to perceive or infer information, and to retain it as knowledge to be applied towards adaptive behaviors within an environment or context.
Machine
A machine uses power to apply forces and control movement to perform an intended action. Machines can be driven by animals and people, by natural forces such as wind and water, and by chemical, thermal, or electrical power, and include a system of mechanisms that shape the actuator input to achieve a specific application of output forces and movement. They can also include computers and sensors that monitor performance and plan movement, often called mechanical systems.
Machine Learning
Machine learning is a field of computer science that often uses statistical techniques to give computers the ability to "learn" (i.e., progressively improve performance on a specific task) with data, without being explicitly programmed.
Machine
The machine is no longer the paragon of progress and the final expression of our desires: it is merely a series of instruments, which we will use in so far as they are serviceable to life at large, and which we will curtail where they infringe upon it or exist purely to support the adventitious structure of capitalism.
Lewis Mumford, Technics and Civilization (1934) Ch. 8 "Orientation," p.365
Intelligence
The intellectual power, through words and things,
Went sounding on, a dim and perilous way!
William Wordsworth, Excursion, Book III.
Intelligence
No doubt, sulking populists in every era stay mean as weasels because they despise any form of superior intelligence except shrewdness.
Kent Owen, Review of Profscam: Professors And The Demise Of Higher Education in The American Spectator (May 1989), p. 44.

Contact:

Chodakowska 19/31 str.
03-815 Warszawa
tel. + 48 22 103 26 30
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