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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 Food Technology and Human I Nutrition Technology COURSE FORMAT Primary course FORMA MODE STUDIÓW/STUDY Stationary 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 Hours 2 7 3 3 15 Measurement Some Simple Descriptive Statistics Contingency Tables and Tests of Association Correlation and Regression Total hours Substantive content - 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 METHODS OF INSTRUCTION lecture and multimedia presentation; REQUIREMENTS ASSESSMENTS 3 3 2 4 3 15 discussion; auditorium exercise; AND Final degree is based on test with open questions (The course is to pass with a note) GRADING SYSTEM TOTAL STUDENT WORKLOAD NEEDED TO ACHIEVE EXPECTED LEARNING OUTCOMES EXPRESSED IN TIME AND ECTS CREDIT POINTS LANGUAGE OF INSTRUCTION INTERNSHIP MATERIALS Learning outcomes EK_1, EK_2 EK_3 EK_4 EK_5 EK_6 Grading system test with open questions exercise test with open questions, exercise long observation long observation Activity Hours Lecture 15 Exercise 15 Prepare to exercise 40 Participation in the consultation 8 Prepare to test 35 Participation In the test 2 total hours / ECTS amount 115/5 total hours / ECTS in the framing of 40/3 lessons with demanding attendance of teachers and students total hours / ECTS in the framing of lessons with practical character English 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