Courses Taught

1. Introduction to Applied Artificial Intelligence

An Opencast Mining course covers the principles and techniques of surface mining, where minerals are extracted from an open pit. It includes mine planning, drilling, blasting, excavation, haulage, and environmental impact management. The course also emphasizes safety measures, equipment usage, and sustainability in large-scale mining operations.

2. Mine Planning and Designing

A Mine Planning and Designing course focuses on the strategic and technical aspects of developing efficient mining operations. It covers mine layout, resource estimation, extraction methods, equipment selection, and economic feasibility analysis. The course also emphasizes safety, environmental considerations, and optimizing production for sustainable mining.

3. Mineral Exploration and Geostatistics

A Mineral Exploration and Geostatistics course covers techniques for locating and assessing mineral deposits using geological, geophysical, and geochemical methods. It includes resource estimation, sampling strategies, spatial data analysis, and statistical modeling. The course emphasizes geostatistical tools to improve decision-making in mineral resource evaluation and exploration.

4. Environmental Aspects of Mining

A Mineral Exploration and Geostatistics course covers techniques for locating and assessing mineral deposits using geological, geophysical, and geochemical methods. It includes resource estimation, sampling strategies, spatial data analysis, and statistical modeling. The course emphasizes geostatistical tools to improve decision-making in mineral resource evaluation and exploration.

5. Mine Design Methods by
Software Vulcan 3D /Minesight

A Mine Design Methods course using Vulcan 3D/Minesight focuses on computer-aided mine planning and design. It covers 3D modeling, pit optimization, underground and open-pit design, and resource estimation. The course emphasizes software-based solutions for mine layout, scheduling, and visualization to enhance efficiency and decision-making in mining operations.

6. Regression & Analysis of Variance

A Regression & Analysis of Variance (ANOVA) course focuses on statistical techniques for modeling relationships between variables and comparing group means. It covers linear and multiple regression, hypothesis testing, model fitting, and ANOVA methods. The course emphasizes real-world applications in data analysis, predictive modeling, and decision-making across various fields.

7. Computer Programming
C++/MATLAB /SAS/R/PYTHON

A Computer Programming course in C++, MATLAB, SAS, R, or Python focuses on developing problem-solving skills using these languages. It covers programming fundamentals, data structures, algorithms, and application-specific techniques. The course emphasizes practical implementation in areas like data analysis, simulations, machine learning, and software development.

8. Probability & Statistics

A probability and statistics course covers fundamental concepts such as probability theory, statistical inference, data distribution, hypothesis testing, and estimation. It includes topics like random variables, probability distributions, correlation, regression, and data analysis. The course emphasizes real-world applications in decision-making, research, and various scientific and engineering fields.

9. Operations & Research

An operations research course focuses on analytical methods to optimize decision-making and problem-solving in complex systems. It covers topics like linear programming, queuing theory, simulation, network analysis, and decision modeling. The course emphasizes applications in logistics, supply chain management, finance, and industrial operations.