Syllabus for Algebra and Vector Geometry
Algebra och vektorgeometri
A revised version of the syllabus is available.
- 5 credits
- Course code: 1MA008
- Education cycle: First cycle
Main field(s) of study and in-depth level:
Explanation of codes
The code indicates the education cycle and in-depth level of the course in relation to other courses within the same main field of study according to the requirements for general degrees:
- G1N: has only upper-secondary level entry requirements
- G1F: has less than 60 credits in first-cycle course/s as entry requirements
- G1E: contains specially designed degree project for Higher Education Diploma
- G2F: has at least 60 credits in first-cycle course/s as entry requirements
- G2E: has at least 60 credits in first-cycle course/s as entry requirements, contains degree project for Bachelor of Arts/Bachelor of Science
- GXX: in-depth level of the course cannot be classified
- A1N: has only first-cycle course/s as entry requirements
- A1F: has second-cycle course/s as entry requirements
- A1E: contains degree project for Master of Arts/Master of Science (60 credits)
- A2E: contains degree project for Master of Arts/Master of Science (120 credits)
- AXX: in-depth level of the course cannot be classified
- Grading system: Fail (U), Pass (3), Pass with credit (4), Pass with distinction (5)
- Established: 2007-03-19
- Established by: The Faculty Board of Science and Technology
- Applies from: Autumn 2007
- Responsible department: Department of Mathematics
In order to pass the course (grade 3) the student should be able to
Elementary functions: polynomials, power, exponential, logarithmic, and trigonometric functions. Rules for powers and logarithms, trigonometric formulas. The solving of simple algebraic equations.
Complex numbers, real and imaginary part, polar form, geometric interpretation. Second degree equations and binomial equations with complex coefficients.
Vectors in the plane and in the space, vector algebra, scalar product and vector product. Lines and planes. Distance computations.
Systems of linear equation: Gaussian elimination, the coefficient matrix and the total matrix.
Matrices: matrix algebra, the inverse. Determinants of order two and three. Eigenvalues and eigenvectors.
Lectures and problem solving sessions.
Written examination at the end of the course. Moreover, compulsory assignments may be given during the course.
Applies from: Autumn 2007
Some titles may be available electronically through the University library.