Mathematics

Course Catalog

Course Catalogue

Year Semester Courses Key Learning Themes
Year I Semester I • Mathematics for Natural Science
• Communicative English Skills I
• General Physics
• General Psychology and Life Skills
• Critical Thinking
• Physical Fitness
• Geography of Ethiopia and the Horn
Possess a strong understanding of fundamental mathematical concepts, principles, and techniques, and be able to apply them in problem-solving.
Semester II • Communicative English Skills II
• Social Anthropology
• General Biology
• Economics
• Introduction to Emerging Technologies
• Introduction to Civics and Ethics
• General Chemistry
• History of Ethiopia and the Horn
Develop mathematical thinking and reasoning skills, enabling them to extend and generalize concepts to new situations.
Year II Semester I • Fundamental Concepts of Algebra
• Calculus I
• Introduction to Statistics
• Introduction to Computer Sciences
• Inclusion in Education and Development
• Global Trends
Apply computational techniques and software to explore, visualize, and solve diverse mathematical problems and applications.
Semester II • Introduction to Combinatorics and Graph Theory
• Calculus II
• Linear Algebra I
• Fundamental Concepts of Geometry
• Fundamentals of Programming
• Statistics and Probability
Develop fundamental concepts of mathematical modeling and applied mathematics relevant to real-world situations and career opportunities.
Year III Semester I • Transformation Geometry
• Number Theory
• Calculus of Functions of Several Variables
• Mechanics and Heat
• Experimental Physics I
• Linear Algebra II
Have the foundational mathematical knowledge and skills required for successful careers in education, research, and various sectors, as well as self-employment.
Semester II • Numerical Analysis I
• Linear Optimization
• Computational and Typesetting Software
• Financial Mathematics I
• Modern Algebra I
• Ordinary Differential Equation
Able to adapt to evolving technologies and foster a commitment to lifelong learning.
Year IV Semester I • Introduction to Research Methods
• Calculus of Function of Complex Variables
• Partial Differential Equations
• Advanced Calculus of One Variable
• Elective I
• Entrepreneurship and Business Development
Apply computational tools (e.g., Python, MATLAB, Mathematica, GeoGebra) to simulate mathematical models, perform data analysis, and interpret quantitative results.
Semester II • Fundamentals of Machine Learning
• Mathematical Modeling
• Undergraduate Mathematics Research / Undergraduate Research Project
• Elective II
• Fundamentals of Database System
• Elective III
Develop creative, logical, and adaptable strategies to solve complex mathematical and real-world problems through iterative analysis and reflection.