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Course title
Description
Headlines
Date
1
Intelligent Methods and Applications
Introduction to the concepts and fundaments of the supervised and unsupervised learning techniques, optimization algorithms, and Fuzzy logic
Spring 2024
2
Underground Mining
تبیین مبانی، ویژگی ها، شرایط کاربرد و دیگر موضوعات مرتبط با انواع روشهای استخراج در معادن زیرزمینی
Spring 2024
3
Principles of Mine Design
Learning the technical points and considerations for designing surface and underground mines and carrying out practical projects
Spring 2024
4
Advanced Statistics and Probability
Introduction to the data analysis techniques including topics related to descriptive and inferential statistics, evaluation of data differences and associations, and prediction of values, trends, and labels of datasets
Fall 2023
5
Underground Mining
تبیین مبانی، ویژگی ها، شرایط کاربرد و دیگر موضوعات مرتبط با انواع روشهای استخراج در معادن زیرزمینی
Fall 2023
6
Operation Research
Introduction to the linear programming models and their solution methods
Fall 2023
7
Principles of Mine Design
Learning the technical points and considerations for designing surface and underground mines and carrying out practical projects
Fall 2023
8
Operation Research
Introduction to the linear programming models and their solution methods
Spring 2023
9
Intelligent Methods and Applications
Introduction to the concepts and fundaments of the supervised and unsupervised learning techniques, optimization algorithms, and Fuzzy logic
Spring 2023
10
Underground Mining
تبیین مبانی، ویژگی ها، شرایط کاربرد و دیگر موضوعات مرتبط با انواع روشهای استخراج در معادن زیرزمینی
Spring 2023
11
Principles of Mine Design
Learning the technical points and considerations for designing surface and underground mines and carrying out practical projects
Fall 2022
12
Underground Mining
تبیین مبانی، ویژگی ها، شرایط کاربرد و دیگر موضوعات مرتبط با انواع روشهای استخراج در معادن زیرزمینی
Fall 2022
13
Advanced Statistics and Probability
Introduction to the data analysis techniques including topics related to descriptive and inferential statistics, evaluation of data differences and associations, and prediction of values, trends, and labels of datasets
Fall 2022