Intelligent technologies
Course: Informatics
Structural unit: Faculty of Computer Science and Cybernetics
Title
Intelligent technologies
Code
ДВС.1.03
Module type
Обов’язкова дисципліна для ОП
Educational cycle
Second
Year of study when the component is delivered
2023/2024
Semester/trimester when the component is delivered
4 Semester
Number of ECTS credits allocated
4
Learning outcomes
LO18.1. To know and apply modern hardware-software and computing tools, technologies and software solutions for the effective analysing of the industrial software development problems.
Form of study
Prerequisites and co-requisites
Have knowledge of modern programming languages and tools for developing and designing programs for solving scientific and applied problems.
Have basic skills in compiling and analyzing algorithms and programming in one of the languages: Python, Java, C #, C ++.
Course content
The aim of the course is to acquaint students with modern technologies that used in development in the field of artificial intelligence. Introduction to bot creation technologies using Microsoft's Bot Framework technology. Introduction to the set of technologies Microsoft Cognitive Services.
Recommended or required reading and other learning resources/tools
1. Stephen Marsland. Machine Learning: An Algorithmic Perspective, 452 р., 2015.
2. Christopher M Bishop. Pattern recognition. Machine Learning, 128 p., 2006.
3. Ethem Alpaydin. Introduction To Machine Learning, 584 p., 2009.
4. Programming the Microsoft Bot Framework: A Multiplatform Approach to Building Chatbots, 396 p., 2017
5. Gaddam Kishore. Building Bots with Microsoft Bot Framework, 424p, 2017
6. Machiraju, Srikanth, Modi, Ritesh. Developing Bots with Microsoft Bots Framework, 283p, 2018
Planned learning activities and teaching methods
Lectures, practical classes, independent work.
Assessment methods and criteria
Semester assessment:
1. Test 1 - 15 points / 9 points
2. Test work 2 - 15 points / 9 points;
3. Laboratory work 1 (project) - 30 points / 18 points
Final assessment in the form of an exam:
Maximum number of points that can be obtained by a student: 40 points.
Form of conducting: written work.
Types of tasks: 3 written tasks.
Language of instruction
Ukrainian language
Lecturers
This discipline is taught by the following teachers
Departments
The following departments are involved in teaching the above discipline