Research Seminar: AI and Data Analysis

2024/2025

Academic Year

ENG

Instruction in English

1

ECTS credits

Delivered at:

Department of Political Science and International Affairs

Course type:

Compulsory course

When:

4 year, 3 module

Instructor

Arkatov, Dmitry

Course Syllabus

Abstract

During the course students will receive basic knowledge about the methods and technologies of artificial intelligence, tools for working with big data, and the basics of software development, algorithms and machine learning systems.

Learning Objectives

• Uses Large Language Model available on the market to facilitate better quality of research
• Knows how to properly set up instructions for LLMs to get better output
• Is familiar with most recent AIs to use for puzzle search, research question formulation, literature review and data analysis and visualization

Expected Learning Outcomes

• Uses Large Language Model available on the market to facilitate better quality of research
• Knows how to properly set up instructions for LLMs to get better output
• Is familiar with most recent AIs to use for puzzle search, research question formulation, literature review and data analysis and visualization

Course Contents

• Formulating Research Questions Using AI
• Literature Review and Identifying Research Gaps
• Writing a Literature Review with AI Support
• Sampling Using AI
• Data Analysis and Visualization with AI

Assessment Elements

• Seminar Participation
  Students are expected to visit seminars, listen to brief explanation of how to use certain solution and engage in practice session to briefly acquaint themselves with the usage of certain AI/LLM.
• Homeworks
  Students are expected to complete short group home task after the seminar to ensure they are fully equipped with the knowledge on how to use certain solutions for specific academic tasks.
• Final Project
  Students are expected to write a group assignment which is a small research project created entirely using Artificial Intelligence solutions.

Interim Assessment

• 2024/2025 3rd module
  0.4 * Final Project + 0.4 * Homeworks + 0.2 * Seminar Participation

Bibliography

Recommended Core Bibliography

• Haenlein, M., & Kaplan, A. (2019). A Brief History of Artificial Intelligence: On the Past, Present, and Future of Artificial Intelligence. California Management Review, 61(4), 5–14. https://doi.org/10.1177/0008125619864925

Recommended Additional Bibliography

• 9781000593082 - Prathamesh Padmakar Churi, Shubham Joshi, Mohamed Elhoseny - Artificial Intelligence in Higher Education - 2023 - CRC Press - https://search.ebscohost.com/login.aspx?direct=true&db=nlebk&AN=3328923 - nlebk - 3328923

Authors

• ARKATOV DMITRIY ALEKSANDROVICH