Mathematics for Engineers I
7.5 ECTS credits- Algebraic simplifications, completing the square, the factor theorem, equations and inequalities, absolute values.
- Polynomial, potency, logarithmic, exponential, trigonometric, and inverse trigonometric functions, their definitions, properties, and graphs.
- Complex numbers in Cartesian and polar form, de Moivres theorem, vector representation of complex numbers.
- The concept of function, domain of definition, range of function, composition of functions, inverse functions.
- Limits of functions, continuity, asymptotes.
- Definition and rules for derivatives, derivatives of elementary functions, implicit differentiation.
- Function analysis: increasing and decreasing functions, extrema, concavity.
- Applications of derivatives: tangents and normals, extreme value problems, linearisations, related rates, Taylor polynomials, and l'H么pital's rule.
- Polynomial, potency, logarithmic, exponential, trigonometric, and inverse trigonometric functions, their definitions, properties, and graphs.
- Complex numbers in Cartesian and polar form, de Moivres theorem, vector representation of complex numbers.
- The concept of function, domain of definition, range of function, composition of functions, inverse functions.
- Limits of functions, continuity, asymptotes.
- Definition and rules for derivatives, derivatives of elementary functions, implicit differentiation.
- Function analysis: increasing and decreasing functions, extrema, concavity.
- Applications of derivatives: tangents and normals, extreme value problems, linearisations, related rates, Taylor polynomials, and l'H么pital's rule.
Progressive specialisation:
G1N (has only upper鈥恠econdary level entry requirements)
Education level:
Undergraduate level
Admission requirements
General admission requirements and upper secondary level Mathematics 3C or Mathematics D
Selection:
Selection is usually based on your grade point average from upper secondary school or the number of credit points from previous university studies, or both.
This course is included in the following programme
- Drug Analysis - Bachelor Programme in Chemistry (studied during year 2)
- Study Programme in Engineering - Computer Science (studied during year 1)
- Study Programme in Building and Construction Engineering (studied during year 1)
- Electrical Engineering (studied during year 1)
- Bachelor of Science in Enviromental and Energy Engineering (studied during year 1)
- Study Programme in Innovation and Design Engineering (studied during year 1)
- Study Programme in Mechanical Engineering (studied during year 1)
- Engineering: Surveying Technology and Geographical IT (studied during year 1)
More information
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Distance, 50%
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- Start Autumn 2024
- Mode of study Distance
- Language Swedish
- Course code MAGA81
- Application code KAU-45720
- Study pace 50% (Day)
- Study period week 36鈥45
- Schedule
- Introductory Information
- Reading list