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An Open Lecture Combining Modern Technologies and Ecology Was Held at M. Auezov South Kazakhstan University

Senior Lecturer of the Department of Information and Communication Technologies (ICT), Mombekova Sandugash Seisembayevna, conducted an open lecture for senior students and faculty members on the topic “AI and Big Data: Waste Sorting and Logistics Optimization.”

The main objective of the event was to introduce future IT specialists to scientific and practical approaches for applying Artificial Intelligence (AI) and Big Data analytics algorithms to address challenges in environmental management and sustainable development.

Scientific and Methodological Content of the Lecture

During the open lecture, the role of digital technologies in environmental protection and the development of green logistics was discussed in depth. The lecture covered the following key scientific areas:

Intelligent Sorting (AI & Computer Vision): principles of operation of convolutional neural networks (CNNs) for optical waste recognition and automated sorting, as well as the effectiveness of computer vision technologies;

Big Data Analytics: forecasting the dynamics of municipal solid waste generation in urban infrastructure and managing data flows within the Smart City concept;

Logistics Optimization (Optimization Algorithms): graph theory and mathematical modeling methods aimed at optimizing waste transportation routes, reducing transportation costs, and minimizing carbon footprint emissions.

Innovative Teaching Methods

The open lecture was conducted in an interactive format in accordance with modern educational standards. The lecturer effectively utilized information visualization tools and applied the Problem-Based Learning approach to enhance students’ critical thinking skills. Students carried out independent analyses of environmental and economic efficiency and presented and defended their proposed solutions.

Experts and colleagues from the ICT Department who attended the lecture highly appreciated the relevance of the topic, the scientific depth of the material, and the lecturer’s professional competence. Following the lecture, methodological recommendations were proposed for the further development of the Green IT direction within the educational programs “Virtual Reality Modeling and Development” and blended learning programs.