Download SYLLABUS COURSE TITLE Basic statistics Faculty/Institute Faculty

SYLLABUS
COURSE TITLE
FACULTY/INSTITUTE
COURSE CODE
DEGREE PROGRAMME
FIELD OF STUDY
Basic statistics
Faculty of Biology and Agriculture
Department of Regional Politics and Food Economy
DEGREE LEVEL
FORMA
MODE
STUDIÓW/STUDY
Food Technology and Human I
Stationary
Nutrition Technology
COURSE FORMAT
Primary course
YEAR AND SEMESTER
I summer semester (I)
NAME OF THE TEACHER
Marcin Halicki, PhD in Economics
COURSE OBJECTIVES
Students are acquainted with:
 the purpose of statistics,
 Simple Descriptive Statistics,
 basic probability relations,
 Standard Deviation and Weighted Standard Deviation,
 The Sampling Distribution and Standard Deviation of the Mean,
 P-Value and Chi-Squared Test.
PREREQUISITES
Basic mathematics
The student after completion of the course:
LEARNING OUTCOMES
KNOWLEDGE:
EK_1 – lists measures of central tendency
EK_2 – characterizes the normal distribution
SKILLS:
EK_3 – is able to Interpreting the Standard Error of the Mean
EK_4 – uses in the practice t- Distribution
FINAL COURSE OUTPUT - SOCIAL COMPETENCES
EK_5 understands the need and opportunities for continuous training
EK_6 – is able to interact and work in a group, taking different roles
COURSE ORGANISATION –LEARNING FORMAT AND NUMBER OF HOURS
Lecture – 15 hours
Exercise– 15 hours
COURSE DESCRIPTION
Substantive content - lecture
Measurement
Some Simple Descriptive Statistics
Contingency Tables and Tests of Association
Correlation and Regression
Total hours
Substantive kontent - exercise
Measures of Central Tendency
The Normal Distribution
The Standard Error of a Mean
Correlation and Regression
P-Value and Chi-Squared Test
Total hours
Hours
2
7
3
3
15
3
3
2
4
3
15
lecture and multimedia presentation;
discussion;
 auditorium exercise;
REQUIREMENTS
AND Final degree is based on test with open questions (The course
ASSESSMENTS
is to pass with a note)
GRADING SYSTEM
Learning
Grading system
outcomes
EK_1,
test with open questions
EK_2
EK_3
exercise
EK_4
test with open questions, exercise
EK_5
long observation
EK_6
long observation
TOTAL STUDENT WORKLOAD
Activity
Hours
NEEDED TO ACHIEVE
Lecture
15
EXPECTED LEARNING
Exercise
15
OUTCOMES EXPRESSED
Prepare to exercise
40
IN TIME AND ECTS CREDIT
Participation in the consultation
8
POINTS
Prepare to test
35
Participation In the test
2
total hours / ECTS amount
115/5
total hours / ECTS in the framing of
75/3
lessons with demanding attendance of
teachers and students
total hours / ECTS in the framing of
lessons with practical character
LANGUAGE OF INSTRUCTION English
INTERNSHIP
METHODS OF INSTRUCTION
MATERIALS
PRIMARY OR REQUIRED BOOKS/READINGS:
E. Maxwell, “Basic Statistics for medical and social science
students”, University of London, 1978
Woolf P., Keating A., Burge C., and Michael Y.. "Statistics
and Probability Primer for Computational Biologists".
Massachusetts Institute of Technology, Spring 2004
Smith W., Gonic L. "Cartoon Guide to Statistics". Harper
Perennial, 1993
SUPPLEMENTAL OR OPTIONAL BOOKS/READINGS:
Bohm G., Zech G., „Introduction to Statistics and Data
Analysis for Physicists” Verlag Deutsches ElektronenSynchrotron, 2010