Master's capstones

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A SUBSYSTEM OF THE INTEGRATION OF THE EDUCATIONAL PORTAL WITH THE LLM-BASE EDUCATIONAL CONTENT GENERATION SYSTEM
(2024) Ivchenko, Oleksandr
LLM models have created a new era of learning and teaching methodologies. This article examines the profound impact of LLM models on the educational environment. The study explores their integration in various educational settings and highlights their universal application and transformative potential. LLM models have the potential to bridge gaps in education, provide an alternative perspective, generate high-quality resources, and provide exclusive education for people with different learning needs. The study highlights the potential of combining technology and human experience to create an enriched learning ecosystem. The future of learning, shaped by artificial intelligence technologies, promises an improved educational experience.
APPLICATION OF OPENAI API FOR SEMANTIC CONTENT ANALYSIS IN INTELLIGENT E-LEARNING SYSTEMS
(2024) Rybak, Mykola
The thesis aims to describe the practical aspects of using OpenAI API in intelligent e-learning systems. The proposed work contains three main parts. The first part covers a background overview, theoretical aspects of a Large Language Model (LLM), transformer-based Natural Language Processing (NLP) architecture description, and use cases of different transformers. Introduces the term semantic unit and defines its main elements and connection with the capstone project. The second part concerns the rationale of the chosen model’s type for the capstone project and its description and implementation. This part covers requirements for the capstone project, C4 architecture diagrams, an overview of essential modules, libraries, and code examples of the implemented solution leveraging OpenAI API. The final part demonstrates further research on architecture improvements for better semantic content analysis and interaction with intelligent e-learning systems, including a combination of encoder-decoder and embedding models in the solution.
CHALLENGES OF TRANSFERRING BUSINESS PRACTICES: THE CASE OF “ECOSERVICE 2022” AND “BAV”
(2024) Zhuravel, Taras
This study analyzed the challenges of transferring business practices by conducting a case study involving two companies, examining the practical application of cross-cultural knowledge transfer and evaluating its effectiveness using the Kirkpatrick model. The significance of this research lies in its practical implications for organizations aiming to transfer business practices across different cultural contexts. The paper contributes to the existing body of knowledge by offering specific insights into the transfer of business practices from BAV to Ecoservice. By employing the Kirkpatrick model, the research provides valuable recommendations for fostering successful transfer of business practices in a globalized world.
CHALLENGES OF WOMEN’S LEADERSHIP IN PUBLIC SERVICE IN UKRAINE: THE CASE OF THE DIGITAL TRANSFORMATION
(2024) Onyiliogwu, Kateryna
This research study investigates the discrepancies between male and female leadership in Ukraine's public sector, focusing on the challenges that female leaders face in digital transformation. The Critical Incident Technique is used to analyse the experiences of ten senior female professionals working in the Ministry of Digital Transformation through semi-structured interviews. The study's key findings highlight a range of challenges that female leaders face, such as societal, organisational, interpersonal, and individual. This study fills a critical gap in the literature regarding women in leadership within the public sector, particularly in the digital transformation sphere. It contributes valuable insights to the broader discussion on gender diversity in Ukraine's public sector leadership.
COMPARISON OF ARCHITECTURAL PATTERNS WITHIN iOS APPLICATIONS
(2024) Skrypchenko, Mykyta
This work delves into the strategic selection of software architecture for iOS applications, underscoring the alignment of architectural decisions with specific project constraints and goals. Initial discussions centered around the challenges in using software metrics to compare various iOS architectures, leading to the proposal of a simplified framework aimed at aligning architectural choices with defined business objectives. The paper details the process of evaluating different architectural patterns — MVC, MVVM, VIPER, and TCA — considering these constraints and goals. This work contributes to the field by providing a practical example of how architectural decisions can be tailored to specific project constraints and goals, offering insights that can be valuable for software architects and developers working on similar Swift application projects.
CULTURAL INFLUENCE ON BARRIERS AND FACILITATORS OF KNOWLEDGE TRANSFER PRACTICES WITHIN MULTINATIONAL ORGANIZATIONS
(2024) Vyshnyvetskyy, Ivan
Knowledge transfer is critical for multinational corporations to leverage expertise and achieve organizational success across geographically dispersed teams. However, cultural differences between countries can impede effective knowledge sharing. This quantitative study aimed to elucidate how national and corporate cultural dimensions influence knowledge transfer behaviors within multinational organizations. A survey was conducted with 59 employees from managerial and clinical research roles across six European countries in a multinational pharmaceutical firm. Participants completed validated instruments measuring cultural values based on the GLOBE model, and readiness for knowledge transfer initiatives based on the Theoretical Domains Framework. Results of correlation and regression analyses found that higher in-group collectivism, performance orientation, and lower power distance cultural values were associated with greater readiness for knowledge transfer. Interestingly, younger yet more experienced employees exhibited higher openness to knowledge initiatives. There were also notable correlations between specific cultural dimensions and behavioral domains influencing knowledge exchange. These findings suggest national and corporate culture fundamentally shape employees' readiness for knowledge transfer. The results have important implications for organizational leaders seeking to implement effective knowledge management strategies across global teams. Fostering collectivistic, egalitarian and achievement-oriented cultural values may pave the way for smoother knowledge transfer. Overall, a multifaceted approach considering both cultural and individual factors is key for optimizing knowledge flows within multinational corporations. The study makes a useful contribution by providing quantitative empirical evidence linking cultural values to knowledge exchange behaviors. However, limitations like the small sample size from one organization indicate findings may have restricted generalizability. Further research with larger, more diverse samples is critically needed to validate and extend the results across various cultural contexts.
CUSTOM CRM SYSTEM FOR A LEGAL DEBT COLLECTION COMPANY
(2024) Bairaktar, Dmytro
DATA ANALYSIS AND LANGUAGE MODELS FOR D2C APPLICATIONS IN FOREIGN LANGUAGE LEARNING
(2024) Andriychuk, Sergiy
The landscape of foreign language learning has undergone a significant transformation in the digital age, particularly with the emergence of Direct-to-Consumer (D2C) applications. Relevance of the Topic At the forefront of educational technology, the integration of data analysis and language models in D2C language learning applications like WORDY represents a significant leap. Objective The primary objective of this study is to enhance the WORDY application for foreign language learning through the integration of advanced data analysis techniques and sophisticated language models. Structure of the Report This report offers a comprehensive analysis of the application of data analysis and language models in the WORDY application. It starts with a detailed literature review, leading into an exploration of the WORDY application's design. This design incorporates a thoughtful selection of technologies and frameworks to ensure optimal performance and user experience.
DEVELOPMENT OF SOCIAL AND EVENT MANAGEMENT DISTRIBUTED APPLICATION
(2024) Kulomin, Dmytro
Purpose of this work is a creation of the product helping people and business to find each other, plan and organise activities and events. During the work on the problem different use-case were analysed and matched against existing solutions on the market. Work consists of observation of current state of industry, available products comparison, fit map creation and main use-cases identification. The result of the work is presented by the engineering solution in the form of main architectural decisions, storage and communication approaches analysis and the proof of concept implementation.
ExoCoDe: MODELING TRANSITS EVENTS VIA STATISTICAL AND MACHINE LEARNING TOOLS
(2024) Karakuts, Denys
This capstone project uses statistical and machine learning algorithms to detect exocomet transits in TESS telescope data. Exocomets, distinguished by their unique, asymmetric light curves, present a detection challenge due to their subtle signatures compared to planetary transits and light intensity. We develop a framework that integrates data preprocessing, feature extraction, visualizations, statistical methods, and machine learning regressors to characterize these transits efficiently. The project is built upon the existing progress of astrophysical research. It aims to enhance our understanding of exocometary activity, uncovering the potential of machine learning and statistical analysis in astronomical data interpretation.
HONEYCOMB MONOLITH: HEXAGONAL MODULAR PATTERN FOR AGILE MICROSERVICES EVOLUTION
(2024) Shablii, Taras
This thesis explores the architectural dilemma faced by startups and greenfield projects: choosing between monolithic and microservices structures. It addresses the gap in research on evolutionary monolithic architectures, introducing the Honeycomb Monolith pattern. This pattern combines Domain-Driven Design with Hexagonal Architecture to create modular monoliths poised for smooth transition to microservices. The effectiveness of the Honeycomb Monolith is demonstrated through the Opora application case study. This implementation validates the pattern viability, showing a seamless migration with minimal impact on the core domain logic. Challenges like model duplication and database management complexities are also identified, underscoring the need for strategic planning in architecture design. Concluding with future research directions, the thesis positions the Honeycomb Monolith as a viable solution for startups and an intermediary step for existing projects transitioning to microservices. This work contributes to the software architecture field, offering a novel solution that balances initial development efficiency with long-term scalability.
INTEROPERABLE WEB SYSTEM FOR GENERATION OF LEARNING RESOURCES ON THE BASE OF LLM AND PROMPT ENGINEERING
(2024) Kakun, Artem
The aim of the work is to create a system based on LLM and prompt engineering for generating educational materials. The proposed work consists of three main parts. Chapter 1 examines the progress of generative AI, such as Chat GPT, in education, focusing on its role in personalized learning and the importance of prompt engineering to maximize the effectiveness of AI usage. The proposed work outlines strategies for developing prompts to elicit accurate AI responses for educational purposes. Chapter 2 presents a detailed solution overview and architectural framework. The chapter outlines the business and architectural requirements, emphasizing the need for high scalability and portability. It also discusses the technology stack, the risks associated with relying on the OpenAI API, and the cost implications of the project. Chapter 3 summarises the work done on an AI-based educational material generation system. The chapter suggests areas for improvement, such as user authorisation, prompt updating mechanisms, skills analysis tools, and an educational chatbot. Overall, the successful integration of OpenAI models demonstrates the potential of the system in educational content generation.
LEADERSHIP STYLES IN THE UKRAINIAN IT INDUSTRY
(2024) Kersov, Oleksii
This research investigates leadership styles in the Ukrainian IT industry, aiming to identify key leadership competencies and qualities and to compare these styles with those prevalent in other countries. The study is grounded in the context of Ukraine's rapidly evolving IT industry. The research methodology involved qualitative interviews with six Ukrainian IT professionals, representing diverse roles within the industry and gender balance. The interview questions, detailed in Appendix A, focused on exploring participants' perceptions of effective leadership, the impact of different leadership styles on team dynamics and professional growth, and the specific challenges and opportunities in the Ukrainian IT sector. The findings reveal that the most valued leadership competencies in the Ukrainian IT industry include support, trust, effective communication, ability to provide constructive feedback, fostering professional growth, and motivation. These competencies align closely with democratic and transformational leadership styles. Unique aspects identified include a strong emphasis on personalized support, bidirectional trust, and a blend of informal and formal communication. Contrarily, some negative traits noted were challenges in feedback mechanisms and communication efficacy. Comparatively, these leadership styles show notable similarities with transformational and democratic leadership traits identified in global IT industries. However, the Ukrainian context distinctively emphasizes personalized support and a balanced approach to technical and interpersonal skills. The research has significant implications for IT companies and individuals. For companies, understanding these key leadership competencies can guide hiring and development strategies. For leaders, it highlights essential qualities for effectiveness in the dynamic IT industry. The findings suggest a need for a flexible, context-sensitive approach to leadership in IT companies, considering the unique challenges and cultural nuances of the Ukrainian IT sector. Future research should expand on these findings using quantitative methods and a broader sample to generalize the understanding of leadership styles in the Ukrainian IT industry, and to explore the impact of these styles on organizational outcomes such as employee satisfaction and team productivity.
MANAGERIAL PRACTICES IN PERFORMANCE MONITORING AND DEVELOPMENT APPROACHES IN UKRAINIAN SMALL AND MEDIUM ENTERPRISES
(2024) Povar, Mykola
This capstone project was dedicated to managerial practices in performance monitoring and development approaches in Ukrainian small and medium enterprises. It addressed the critical intersection of performance monitoring and managerial practices in the unique context of Ukrainian organizations, relying on diverse data sources, including reputable consulting firms, and surveys conducted by the World Bank. Drawing on the Goal Setting Theory and the Balanced Scorecard Framework, the project developed a tailored performance monitoring approach for Ukrainian organizations, considering business size nuances. The main research methods applied were literature review and surveys. To support the conclusions, the specific data set was used, collected in the course of the World Bank Enterprise Survey (ES), conducted in 2013 and 2019. It has covered Ukrainian top managers and business owners, commenting on predefined questions. The study resulted in tailored recommendations, emphasizing the importance of a customized solution, given the distinct cultural, legal, and economic backdrop of Ukraine, underscoring the pivotal role of team-centric performance management. For SMEs, the research highlighted the need to define essential metrics composed in a balanced way. Collaboration, open communication, and collective responsibility emerged as key themes for enhancing team synergy and fostering a positive organizational culture. Blending traditional methods with technology-driven practices and urging SMEs to consider resource constraints, cultural shifts, and the evolving nature of performance monitoring were advised as game changers. In conclusion, the research aspired to be a catalyst for positive change in the managerial practices of Ukrainian organizations. By providing context-specific recommendations, it aimed to elevate overall performance, foster transparency and accountability, and empower Ukrainian SMEs to navigate the evolving business environment successfully.
PROSPECTS FOR IMPLEMENTING THE WORLD OF COMMUNITIES BOARD SIMULATION GAME AS AN ACCELERATIVE TRUST-BUILDING TOOL FOR LEADERSHIP DEVELOPMENT IN THE ARMED FORCES OF UKRAINE
(2024) Tymchuk, Taras
The Capstone Project explores trust-building within the Ukrainian Armed Forces through the World of Communities Board Game. The primary research question focuses on the game's effectiveness in fostering trust among military personnel. The study collects and analyzes data from game sessions and participant feedback using a qualitative methodology. Findings reveal that the game significantly enhances interpersonal trust and team cohesion, underscoring its potential as a valuable tool in military training. The project's significance lies in its novel approach to trust-building, offering insights into practical applications for enhancing team dynamics in military settings.
QUANTITATIVE RISKS ANALYSIS ON SOFTWARE PROJECTS USING THE MONTE CARLO METHOD
(2024) Oliyarnyk, Yuriy
Software projects are crucial for creativity, productivity, and organizational performance. However, their complexity can lead to risks and failures. Despite modern project management tools improving success rates, significant investment waste and project failures persist. In 2020, 11.4% of investment was lost due to poor project performance, and in 2021, 33% of IT projects failed, resulting in significant budget losses. As organizations enter 2022, challenges in big data, analytics, and AI projects are increasing, highlighting the need for a paradigm change in project management techniques. The Monte Carlo approach, a quantitative risk analysis technique, is gaining popularity to reduce uncertainty in software projects and provide more reliable estimations. The current implementation uses Jupyter Notebooks technology and decreases a steep learning curve for users.
RECOMMENDATION SYSTEM FOR DATING PROJECTS
(2024) Mostovyi, Oleksandr
The main functionality for all dating projects is to elevate user experience through the provision of potential matches based on a variety of factors. This project is dedicated to evaluating and comparing the performance of diverse recommendation algorithms within the unique context of dating platforms. As a result an environment consisting of recommendation system and integration into search system of dating application is provided. The evaluation metrics include but are not limited to accuracy, precision, recall, and user satisfaction. By systematically testing these algorithms in controlled scenarios, the research seeks to identify specific performance strengths and weaknesses of each algorithm. Recommendation system is implemented using Python programming language and Flask framework and it uses dataset of profile from dating project. The research also explores the impact of diverse user behaviors and preferences on the recommendation algorithms, providing insights into the adaptability and robustness of each approach. Through a comprehensive analysis, this research aims to contribute valuable insights for dating projects seeking to enhance their recommendation systems. The findings will aid in the informed selection of recommendation algorithms tailored to the specific requirements and dynamics of dating platforms, ultimately improving user experience and satisfaction.
RESEARCH ON TOXIC LEADERSHIP IN RELATION TO LEADERSHIP STYLES
(2024) Haidin, Oleksandr
The purpose of this study is to comprehensively assess the landscape of toxic leadership both holistically and within specific industries. Additionally, it aims to scrutinize the interplay between established leadership styles and toxic leadership, thereby identifying requisite adaptations and practices susceptible to diminishing relevance in the dynamic business environment. The study's data were derived from survey results obtained from professionals across diverse industries. This research embarks on an extensive exploration of toxic leadership through a three-chapter framework. Chapter 1 conducts a comprehensive literature review using bibliometric and content analyses. Chapter 2 delineates empirical methodologies, providing detailed descriptions of scales such as Schmidt and MLQ. Chapter 3 unveils the outcomes of a study on leadership styles across industries and the relationships between toxic, transactional, and transformational leadership. Notably, the investigation reveals that Management by Exception exhibits associations with toxic traits, hinting at a potential dark side. This observation, coupled with the negative correlation between authoritarian traits and transformational leadership, underscores the significance of leaders striking a balance between decision-making capabilities and collaborative, open, and supportive practices. The study offers valuable insights into the evolving preferences of employees, emphasizing collaboration, understanding toxic dynamics, and fostering healthier workplace environments, particularly in the context of a shift toward servant leadership.
RISK ASSESSMENT BY DEVELOPMENT FINANCE INSTITUTIONS IN INVESTMENTS INVOLVING EMERGING AND DISRUPTIVE TECHNOLOGIES
(2024) Parkhomchuk, Oleksii
This paper critically examines the role of Development Finance Institutions (DFIs) in managing risks associated with Emerging and Disruptive Technologies (EDTs). As these technologies increasingly permeate various sectors, this research identifies a significant gap in DFI policies and risk assessment methodologies. The study employs a methodological approach combining in-depth interviews with key stakeholders and comprehensive reviews of existing policy documents. These approaches reveal a pressing need for enhanced risk assessment frameworks within DFIs, particularly concerning the unique challenges posed by EDTs. The paper introduces the Technology Assessment Questionnaire (TAQ), a tool developed to better equip DFIs in evaluating EDT-related risks. This tool's application in assessing investment projects has demonstrated its utility in improving the understanding and management of technology-related risks. The research underscores the necessity for DFIs to adopt more robust and technology-specific risk assessment tools to balance the promotion of innovation with the responsible deployment of EDTs. The findings suggest that while DFIs recognize the importance of EDT risk, their current practices and policies need refinement to effectively address these emerging challenges.
STRATEGIC COMMUNICATION AND ITS EFFECTIVENESS: THE CASE OF UKRAINIAN BUSINESS ASSOCIATIONS
(Manuscript, 2024) Turchak, Kostiantyn
Business associations in Ukraine use strategic communication to bring together local and international businesses and to create more favorable business conditions. This paper examines the strategies and the effectiveness of the strategic communication used by the most prominent business associations in Ukraine. The data was collected for five business associations operating in Ukraine over the period of 6 months during 2023. The research findings indicate that the communication strategies certainly differ across the associations. The Board Association is the most effective when it comes to gathering reactions and its patterns of strategic communication are similar to those of the American Chamber of Commerce. Moreover, the Post with Image is the most effective post format to gather reactions from the audience.

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