Course content

Basics of Statistics

Code:

69740

Abbreviation:

B12A06

Higher education institution:

Faculty of Geodesy

ECTS credits:

4.0

Load:

15(E) + 30(L)

Issuing teachers:

Senior Lecturer Nikol Radović, MSc

Senior Lecturer Željka Tutek, MSc

Course contractors:

Senior Lecturer Nikol Radović, MSc (L)

Senior Lecturer Željka Tutek, MSc (E, L)

Course description:

The objectives of this course are: <ul><li>Acquire the skills of collecting, classification and organization of data, their analysis and graphical presentation using appropriate computer programs (Excel, Statistica,..) as a tool in solving various statistical tasks that appear in geodesy and geoinformatics. <li>Help students to overcome more easily the other courses that follow, particularly analysis and processing of geodetic measurements</ul> Learning outcomes at the level of the programme to which the course contributes <ul><li>Demonstrate competences in theoretical principles, procedures of computing and visualising the surveying data. <li>Understand mathematical methods and physical laws applied in geodesy and geoinformatics. <li>Apply knowledge of mathematics and physics for the purpose of recognizing, formulating and solving of problems in the field of geodesy and geoinformatics. <li>Use information technology in solving geodetic and geoinformation tasks. <li>Recognise problems and tasks in the application of geodetic and geoinformation principles and methods, and select proper procedures for their solution.</ul> Learning outcomes expected at the level of the course <ul><li>Be able to collect data and their presentation in the form of tables or graphs <li>Define mean and dispersion measures <li>Define basic terms in the probability theory <li>Define discrete and continuous random variables and their distributions <li>Define and apply statistical tests <li>Define regresion analysis, covariance and correlation <li>Be able to apply methods of interpolation in geodesy and geoinformatics <li>Be able to apply methods of appoximation in geodesy and geoinformatics</ul> Course content broken down in detail by weekly class schedule (syllabus) <ol><li>Collecting and analysing data and their presentation in the form of tables and graphs (2 hours) <li>Measures of central value and dispersion (2 hours) <li>Basics of the probability theory (4 hours) <li>Discrete random variables and their distributions (2 hours) <li>Continuous random variables and their distributions (2 hours) <li>Statistical tests (6 hours) <li>Regresion analysis, covariance and correlation (6 hours) <li>Interpolation and approximation in geodesy and geoinformatics (6 hours)</ol> Screening student work <ul><li>Class attendance - 1.8 ECTS <li>Learning and preparation for preliminary and final exams (other) - 2.2 ECTS</ul>

Mandatory literature:

2. J. L. Devore : Probability and Statistics for Engineering and the Sciences, Duxbury Press., 2007.

Recommended literature:

1. L. Jaisingh: Statistics for the Utterly Confused, McGraw Hill, 2000.

3. Bahovec, V. i ostali: Statistika, Zagreb, Element, 2016.

Course in study programme:

Code	Name of study	Level of study	Semester	Required/Elective
71	Geodesy and Geoinformatics	undergraduate	2	required

* the course is not taught in that semester

Legend

E - Exercises

L - Lectures