Artificial Intelligence
Faculty
Stanislav Protasov
Assistant professor at Innopolis University, Innopolis
Course length
Duration
Total hours
Credits
Language
Course type
Fee for single course
Fee for degree students
Skills you’ll learn
Overview
The course gives a general overview of history, theoretical basis and technological stack for what we now call “artificial intelligence” (AI). Today AI is not only a research area, but also a complex set of exact algorithms, technologies, frameworks, software and services, which can be easily integrated in modern software. In this course students will learn history and major theoretical points and structures of knowledge related to AI. The major goal of the course is to practice contemporary AI technologies and frameworks, including reasoning, natural language processing, computer vision, and machine learning. Working individually and in teams, students will solve a variety of AI problems, both from scratch and using existing solutions.
Learning highlights
- Major approaches to construct AI solutions
- Popular libraries and APIs to solve AI tasks
- Algorithms to construct intelligent agents from scratch
- Basic methods of image processing and machine learning Be able to:
- Create game playing bots using heuristic approaches
- Implement knowledge databases
- Implement systems with speech processing and generation
- Implement image processing and computer vision solutions
- Perform basic data analysis using machine learning
Course outline
4 classes
Session 1
AI history and perception. Implementing simple intelligent agent
Session 2
AI as a function: algorithms of AI (search algorithms, A*, minimax, …)
Session 3
Reasoning. Production systems and Bayesian networks
Session 4
Language processing: syntactic analysis
Course materials
Books
Prerequisites
This course is one of three in a wholistic series.
Students that have already taken MSL-111 and those with prior experience with HTML, CSS, and Javascript building simple web pages will be good candidates for this module.
Stanislav Protasov graduated from the Computer Science department of Voronezh State University in 2009. In 2013 he defended his PhD thesis devoted to computer vision algorithms. While doing his research he was also working as a software developer in DHL, Parallels, DataArt and Yandex. He delivered labs and lectures in Voronezh State University, National Research University Higher School of Economics (HSE), Moscow Institute of Physics and Technology (MIPT) and Skoltech.
Since 2020 he works as an assistant professor in the Machine Learning and Knowledge Representation lab of Innopolis University.
See full profileApply for this course
Artificial Intelligence
by Stanislav Protasov
Total hours
45 Hours
Dates
Feb 18 - Mar 08, 2019
Fee for single course
€1500
Fee for degree students
€750
How to secure your spot
Complete the form below to kickstart your application
Schedule your Harbour.Space interview
If successful, get ready to join us on campus
FAQ
Will I receive a certificate after completion?
Yes. Upon completion of the course, you will receive a certificate signed by the director of the program your course belonged to.
Do I need a visa?
This depends on your case. Please check with the Spanish or Thai consulate in your country of residence about visa requirements. We will do our part to provide you with the necessary documents, such as the Certificate of Enrollment.
Can I get a discount?
Yes. The easiest way to enroll in a course at a discounted price is to register for multiple courses. Registering for multiple courses will reduce the cost per individual course. Please ask the Admissions Office for more information about the other kinds of discounts we offer and what you can do to receive one.