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Mathematics of Engineering I

Mathematik für Ingenieure I

6 CPWinterEN

Contents

Fundamentals: Kinds of mathematical statements and reasoning (direct proof, indirect proof, proof by complete induction), essential statements of combinatorics and sum formulas, set theory (relations and operations), definition and examples of mappings and functions, real numbers (working with inequalities and absolute values, infimum and supremum), b-adic expansions, complex numbers (Cartesian, polar, and Euler representation, number operations in these presentations, determination of roots). Analytic Geometry: Vectors in the plane and in space (representation, operations, scalar product, vector product, triple product), representation of lines (point-direction and two-point equation, distance formulas), planes (point-directions equation, three-points equation, Hesse normal form). Linear Algebra: Vectors and matrices (representation and operations, systems of linear equations (representation and solvability), Gauss algorithm, rank of a matrix, linear dependence and independence of vectors, representation of the solution set of a homogeneous and inhomogeneous system of linear equations by linearly independent solutions of the homogeneous system, LU factorization by Gauss algorithm and solution of systems of linear equations by that, determinant of a matrix (definition, computation via Gauss algorithm and Laplace expansion), inverse matrix (existence and computation via Gauss algorithm), orthogonal vectors and matrices (definitions, properties, Gram-Schmidt procedure), QR factorization of a matrix and the solution of systems of linear equations by that, linear mappings (definition, orthogonal mappings and their geometrical properties), eigenvalues and eigenvectors (definition, computation, results on existence of linear independent eigenvectors), diagonalization of matrices (principal axes transformation and its application to quadratic equations), definiteness properties of matrices (definition and verification via computation of eigenvalues).

Learning outcomes

The course provides an introduction into mathematical reasoning and into the basic principles and techniques of analytic geometry and linear algebra. The presentation of the material is accompanied by problem sessions in which the students are taught to apply the learned topics. Objectives of the course are to enable the students to perform simple mathematical arguments, to verify the validity of simple mathematical relations, and to deal with and get routine with some fundamental tools of advanced mathematics in the areas of analytic geometry and linear algebra.

Assessment

Prerequisite: • Successful completion of exercise sheets Final module examination: • Written examination, 90 min.

Literature (1)
  • Leon, S.: Linear Algebra with Applications, 5th ed., Yourdon Press, Englewood Cliffs, 1998

Remarks

• Study programme Environmental and Resource Management B. Sc.: Mandatory module "B2".

Source: BTU's module description · retrieved 28 Sep 2026Original

Module catalogue · unofficial

Betula is an unofficial project and not part of BTU.

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Data as of 21 Oct 2026Winter 2026/27Source: BTU