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The Department of Mathematics offers rigorous training in mathematical theory, analysis, and applications.
The Department of Mathematics at Bahir Dar University College of Science was established to provide quality education in mathematical sciences. Our department is committed to excellence in teaching, research, and service, preparing students for careers in academia, industry, and research institutions.
To be a center of excellence in mathematical sciences education and research, contributing to the advancement of knowledge and the development of Ethiopia and beyond.
To provide high-quality education in mathematics, conduct cutting-edge research, and serve the community through the application of mathematical principles to solve real-world problems.
To develop mathematically literate graduates who can think critically, solve complex problems, and contribute to scientific and technological advancement. To foster a culture of research and innovation in mathematical sciences.
Graduates will demonstrate proficiency in core mathematical concepts including calculus, algebra, analysis, and applied mathematics. They will develop strong analytical and problem-solving skills applicable to various fields.
Focuses on mathematical modeling, numerical analysis, and computational methods for solving real-world problems in engineering, physics, and biology.
Conducts research in abstract algebra, topology, real and complex analysis, and number theory.
Specializes in statistical modeling, data analysis, machine learning, and big data analytics.
Focuses on improving mathematics education through innovative teaching methods and curriculum development.
This paper discusses the effectiveness of active learning strategies in improving student engagement and performance in undergraduate mathematics courses.
An exploration of algebraic structures and their applications in modern cryptographic systems.
This paper presents novel finite element methods for solving complex partial differential equations arising in fluid dynamics and heat transfer problems.
Application of linear and nonlinear optimization methods to solve resource allocation problems in Ethiopian manufacturing industries.
A statistical investigation of climate change effects on water levels and quality in Lake Tana using time series analysis.
A comprehensive study of topological invariants and their properties in various metric spaces.
This study applies machine learning algorithms to predict crop yields using historical climate and soil data from Ethiopian agricultural regions.
Development of compartmental models for predicting disease transmission dynamics in densely populated urban environments.
Annual symposium bringing together mathematicians from across Ethiopia to share research findings and collaborate on new projects.
Intensive training program for high school students preparing for national and international mathematics competitions.
Distinguished Professor from MIT will discuss the role of mathematics in understanding and predicting climate change.
Learn to typeset mathematical documents, papers, and theses using LaTeX.
A hands-on workshop covering NumPy, SciPy, and Matplotlib for solving mathematical problems using Python.
Dr. Getachew Worku will present recent developments in topological data analysis and its applications in machine learning.
PhD candidate Yohannes Tesfaye will defend his dissertation on "Spectral Theory of Unbounded Operators in Hilbert Spaces"
Dr. Alemayehu Tadesse presents new numerical methods for solving stiff differential equations.
State-of-the-art computer laboratory equipped with mathematical software including MATLAB, Mathematica, and R.
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Dedicated mathematics library with extensive collection of textbooks, journals, and reference materials.
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Modern seminar room for presentations, defenses, and collaborative research discussions.
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Computing cluster for intensive numerical simulations and data analysis.
View ResourceComplete curriculum for BSc in Mathematics program including course descriptions and prerequisites.
View ResourceInformation about research opportunities, funding, and collaboration possibilities.
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