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Development of a 2D Platformer Game using Godot Engine

This Bachelor thesis details the development of "Parry Knight," a 2D endless runner game using the Godot Engine. The game, featuring a knight navigating dynamically generated platforms while avoiding or parrying attacks from hostile NPCs, draws inspiration from Jetpack Joyride, Knightmare Tower, Cuphead, and Shovel Knight. The project highlights the practical application of game design principles and programming skills through Godot's GDScript. Key aspects include the creation of core gameplay mechanics, user interface design, and testing. The thesis presents comprehensive diagrams, including use case, sequence, and class diagrams, to illustrate the development process. The game was developed and tested. This software and work that describes it follows all requirements set for it.

Author: Jurijs Luņovs

Supervisor: Karina Kostjkina

Degree: Bachelor

Year: 2024

Work Language: English

Study programme: Computer Science

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Boosting Algorithms for Credit Card Fraud Detection Across Varied Datasets

Manual reviews and rule-based systems, as well as data mining techniques such as clustering and classification algorithms, are crucial for identifying credit card fraud since they help identify fraudulent transactions. Despite obstacles in gathering training data, more data has lately been available, however, a complete comparison of current machine learning approaches has yet to be conducted. Algorithms like XGBoost, AdaBoost, and Gradient Boosting Machine frequently outperform older approaches. This study compares boosting algorithms to traditional approaches using three different credit card transaction datasets: synthetic, balanced with 50% fraudulent transactions, and very unbalanced with only 0.17% fraudulent transactions. The genuine transaction datasets contained 28 anonymized parameters such as time and location. Each method was evaluated using the F1 score, accuracy, precision, and recall. This study makes recommendations on which algorithms to use in real-world scenarios, giving important insights for future research and practical use in credit card fraud detection.

Author: Justs Vīdušs

Supervisor: Nadežda Spiridovska

Degree: Master

Year: 2024

Work Language: English

Study programme: Computer Sciences

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PREDICTIVE ANALYTICS FOR ONLINE CASINO REVENUE IN THE AUSTRALIAN MARKET.

This thesis investigates the influence of economic indicators and weather conditions on online slot machine gambling habits and revenues in Australia. By reviewing the interplay of GDP, CPI, and unemployment rates, the study uncovers their impact on gambling behaviors, revealing that a healthier economy boosts gambling expenditures while financial strain reduces participation. Weather's impact was minimal, likely due to the indoor nature of gambling. Predictive models, including Multiple Linear Regression, ARIMAX, and SARIMAX, were developed and evaluated. ARIMAX and SARIMAX models proved more accurate for predicting gross gaming revenue and winning bets, capturing seasonal and external influences effectively. This research provides insights for policymakers and industry stakeholders, emphasizing the need for localized studies to better understand these dynamics and improve strategic planning in the gambling sector. Future work should focus on expanding datasets and incorporating diverse economic and weather patterns to enhance predictive accuracy and industry applicability.

Author: Jānis Želannovs

Supervisor: Nadežda Spiridovska

Degree: Master

Year: 2024

Work Language: English

Study programme: Computer Sciences

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Improving the Logistics Efficiency of the Construction Company 'Concrete Waves

This Theses analyzes one of the key sectors of the national economy – construction. To better understand the structure of construction costs, they are divided into three main categories: construction materials, employee wages, and machinery. Machinery can either be rented or purchased as fixed assets, thereby reducing long-term costs. The study will explore opportunities to optimize company profits through the use of fixed assets. To achieve this, profit opportunities will be compared based on whether machinery is rented or purchased as company fixed assets. A broader examination of this topic will lead to conclusions that can be valuable for new companies, helping them make well-informed and sustainable decisions.

Author: Jānis Iļjins

Supervisor: Genadijs Gromovs

Degree: Professional Bachelor

Year: 2025

Work Language: Latvian

Study programme: Transport and Logistics

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The role of a leader in building a successful team

The Bachelor thesis consists of 4 parts, the aim of which is to analyse the impact of management on team effectiveness in different industries. The first part will help to understand the main aspects of management, such as motivational techniques, conflict resolution, management skills development and the impact of organisational culture on the work environment. The second part analyses case studies of successful leaders. The third part explains the methodology and limitations of the study. The fourth part analyses three leaders and their team to find out what influences effective team performance.

Author: Jūliana Novožilova

Supervisor: Elīna Gončarova

Degree: Bachelor

Year: 2024

Work Language: Latvian

Study programme: Business and Management

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