Veidlapa Nr. M-3 (8)
Study Course Description
Mathematics and Informatics
Course Code
FK_006
Branch of Science
Medical Physics ; Physical sciences
ECTS
3.00
Target Audience
Pharmacy
LQF
Level 7
Study Type And Form
Full-Time
Study Course Implementer
Course Supervisor
Jevgenijs Proskurins
Structure Unit Manager
Jevgenijs Proskurins
Structural Unit
Department of Physics
Contacts
Riga, 26a Anninmuizas boulevard, 1st floor, Rooms No 147 a and b, fizika@rsu.lv, +371 67061539
About Study Course
Objective
To supplement the students knowledge, skills and abilities for skiing and skating healthy effects on the body, to learn training techniques and skills in practical class organizing.
Preliminary Knowledge
Anatomy, physiology, biomechanics.
Learning Outcomes
Knowledge
1.As a result of the course acquisition students gain basic knowledge in mathematical analysis and probability theory, statistics, computer science and computer theory. Must master the terminology of higher mathematics and get an idea of the set of applied mathematical methods.
Skills
1.As a result of study course acquisition, students will be able to solve higher mathematics problems, perform approximate calculations with the help of a computer, perform statistical data processing, construct graphs, choose an appropriate method for data processing, use a mathematical model to study natural processes.
Competences
1.Make decisions about the use of appropriate mathematical methods in the specific situation.
Assessment
Individual work
|
Title
|
% from total grade
|
Grade
|
|---|---|---|
|
1.
Individual work |
-
|
-
|
|
Independently acquire a variety of topics of the course from the literature resources, solve assigned tasks.
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||
Examination
|
Title
|
% from total grade
|
Grade
|
|---|---|---|
|
1.
Examination |
-
|
-
|
|
Students participation in classes, individual performance of tasks in the seminar and the result in the colloquium are assessed, in total this makes up 50% of the assessment, the other 50% is made up by the assessment in the exam. The exam consists of multiple choice test questions.
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||
Study Course Theme Plan
FULL-TIME
Part 1
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Laboratory
|
2
|
Topics
|
Security equipment for working with a computer, mathematical programs, function limit.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Derivative of a function, derivative of a multi-argument function, differentials, equator.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Laboratory
|
2
|
Topics
|
Derivative of a function, derivative of a multi-argument function, differentials, equator.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Laboratory
|
2
|
Topics
|
Applications of differentials in mathematics, physics, chemistry.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Laboratory
|
2
|
Topics
|
Spreadsheets. Working with Excel 2010. Descriptive statistics.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Laboratory
|
2
|
Topics
|
Spreadsheets. Working with Excel 2010. Descriptive statistics.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Laboratory
|
2
|
Topics
|
Colloquium on previously learned topics.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Laboratory
|
2
|
Topics
|
Correlation analysis, regression line, null hypothesis.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Laboratory
|
2
|
Topics
|
Indefinite integral.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Laboratory
|
2
|
Topics
|
Definite integral.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Laboratory
|
2
|
Topics
|
Integral applications.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Laboratory
|
2
|
Topics
|
Differential equations, their compilation and applications in physics, chemistry, pharmacy.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Laboratory
|
2
|
Topics
|
Differential equations, their compilation and applications in physics, chemistry, pharmacy.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Laboratory
|
2
|
Topics
|
Colloquium.
|
-
Class/Seminar
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Laboratory
|
2
|
Topics
|
Repetition, combination of different programs.
|
-
Lecture
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
On site
|
Auditorium
|
2
|
Topics
|
Introduction to mathematics and computer science.
|
Total ECTS (Creditpoints):
3.00
Contact hours:
32 Academic Hours
Final Examination:
Exam (Written)
Bibliography
Required Reading
1.
N.Brāzma, A.Brigmane, A.Krastiņš, J.Rāts. Augstākā matemātika. Rīga, Zvaigzne, 1970. – 545lpp. (akceptējams izdevums)
Additional Reading
1.
I Arhipova, S. Bāliņa. Statistika ar Microsoft Excel ikvienam. Datorzinību centrs, 1999. – 2 daļas
2.
U. Teibe, U. Berķis Varbūtību teorijas un matemātiskās statistikas elementi medicīnas studentiem. Rīga, 2001., 88 lpp.
Other Information Sources
1.
dažādas matemātikas programmas internetā kā quickmath.com., mathcad, wolframalpha u.c.