Mathematics BA (A), Applied Mathematics and Mathematical Statistics, 7.5 Credits
Please note that the literature can be changed/revised until:
• June 1 for a course that starts in the autumn semester
• November 15 for a course that starts in the spring semester
• April 1 for a course that starts in the summer
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Syllabus:
Matematik GR (A), Tillämpad matematik och matematisk statistik, 7,5 hp
Mathematics BA (A), Applied Mathematics and Mathematical Statistics, 7.5 Credits
General data
- Code: MA072G
- Subject/Main field: Mathematics
- Cycle: First cycle
- Progression: (A)
- Credits: 7,5
- Progressive specialization: G1N - First cycle, has only upper-secondary level entry requirements
- Education area: Naturvetenskap 100%
- Answerable faculty: Faculty of Science, Technology and Media
- Answerable department: Department of Quality Technology and Management, Mechanical Engineering and Mathematics
- Approved: 2010-01-18
- Date of change: 2015-04-20
- Version valid from: 2015-08-01
Aim
The student shall during the course acquire basic knowledge of derivatives and integrals with applications as well as of elementary statistics. Further the student shall acquire proficiency in using MATLAB for computations in the mentioned areas.
Course objectives
After completed course the student shall
- know and be able to apply the concepts of derivative and integral
- be able to differentiate and integrate analytically and by means of MATLAB
- know the concepts of random variable and probability density function and be able to apply these to solve simple problems analytically and by means of MATLAB
- know the concepts of confidence interval, hypothesis testing and linear regression and be able to apply these to solve simple problems analytically and by means of MATLAB
Content
Computations and applications of derivatives and integrals. Introduction to performing computations of derivatives and integrals as well as solving equations and simple differential equations by means of MATLAB. Treatment of descriptive statistics, random variables, probability density and cumulative distributions functions, confidence intervals, hypothesis testing and linear regression both analytically and by means of MATLAB.
Entry requirements
Mathematics course 3b/3c from Swedish Upper Secondary School (Gymnasium) or equivalent
(Äldre gymnasiebetyg)
Selection rules and procedures
The selection process is in accordance with the Higher Education Ordinance and the local order of admission.
Teaching form
The teaching consists of lectures.
Examination form
Assessment is done through written exam and assignments.
Grading criteria for the subject can be found at www.miun.se/gradingcriteria.
Grading system
Seven-grade scale, A, B, C, D, E, Fx and F. Fx and F represent fail levels.
Course reading
Required literature
- Author: Vännman K
- Title: Matematisk statistik.
- Edition: 2002, upplaga 2
- Publisher: Studentlitteratur
- Author: Bittinger, Brand, Quintanilla
- Title: Calculus for the Life Sciences
- Publisher: Pearson
- Comment: Calculus for the Life Sciences is in english and is an alternative to Matematik 5000 Kurs 4 Blå lärobok.
- Author: Alfredsson m.fl.
- Title: Matematik 5000 Kurs 4 Blå lärobok
- Edition: 2
- Publisher: Natur och Kultur