Artificial Intelligence for all (session 1)

Interseasonal School - Online
March 29 - April 2, 2021

The course is held online

Do you want to go deeper to machine learning? Join this interseasonal course!

Artificial Intelligence for all
Artificial Intelligence for all
 
  • Brief description

    Artificial Intelligence (AI) became one of the most popular and influential areas of technologies at the beginning of the XXI century.

    It passed a long way from the first steps (back in the 50s) to become an essential part of modern life. Today's immense computing power and processing too much data, strengthen the importance of the AI and its subfields. Nowadays, we are living in a world where AI plays an unexceptionally important role. To adapt today's fast and growing technology and development, any specialist in any area needs to know the essentials of such a comprehensive subject.
Online lectures will be delivered synchronized as live talk with professors and groupmates. Records of classes will be available on SPbPU platform for 1 month after the course end.
 

Duration: 1 week  

ECTS credits: 2.0

Participation fee: 160 Euro

Upon successful completion of the course students will receive hard copies of certificates with ECTS credits mailed by post.

  • Cultural program

    Socio-cultural program of extracurricular activities and networking events are included*:

    • - Online Interactive Campus Tour
    • - Online Pub Quiz;

    *All of the listed above activities will to take place but in case any of those will have to be cancelled, an alternative event will be offered to participants.

Artificial Intelligence for all
Artificial Intelligence for all

Deadline for registration: March 25, 2021

The course is an introduction for the “Machine Learning: Theory and Application” summer program. The participants will get a certificate with 6 ECTS credits, if they take two courses in a row.

  • Entrance requirements
    • - Good command of English. All classes and extracurricular activities are carried out in English. Knowledge of the Russian language is not required;
    • - Applicants are expected to have at least 1 year of University level studies.
  • Course description

    In this course, you will learn:

    • Meaning of AI terminology (computer vision, data science, machine learning, deep learning etc.)
    • Historical review of AI area.
    • Review of modern AI applications and approaches.
    • Disciplines in relation with AI - ML and Data science project workflow
    • Review of Technical tools and platforms for AI
    • Basic ideas behind Supervised and Unsupervised learning

The detailed course description for ECTS credits transfer at your home university:

AI for All Descriptor SS21.pdf

 

Professors and lecturers:

  • Ogul Unal - PhD, Institute of Computer Science and Technology, SPbPU; M-com Search Engine Optimization specialist”;
  • Nikita Kudryashov – PhD, Institute of Computer Science and Technology, SPbPU; Gazprom-neft leading specialist.

Contacts:

Summer and Winter Schools Team