University's Exclusive Offer. Basics of Biostatistics 1800-F4-Podbios-SJ

lasses in Biostatistics have a practical character and enable students to understand the essence of statistical methods as well as to master basic statistical terminology. Students learn to apply elementary methodological and statistical techniques in solving simple problems related to the description of medical and biological models.

The exercises include an introduction to types of scientific research in medicine, principles of selecting study groups, basics of planning scientific experiments, and familiarization with key concepts and terms used in biostatistics, as well as the fundamentals of statistical inference. Special emphasis is placed on the practical calculation and interpretation of basic descriptive statistics (both classical and positional), critical analysis of medical literature, and the proper use of statistical tools.

Term 2025/26:

Total student workload

1. Student workload related to classes requiring direct participation of academic teachers: - participation in lectures: 10 hours - participation in practical classes: 15 hours - consultations: 4 hours - final assessment: 0,5 hour Total workload related to direct participation of academic teachers amounts to 26,5 hours, which corresponds to 1,3 ECTS credits. 2. Student workload balance: - participation in lectures: 10 hours - participation in practical classes: 15 hours - consultations: 1 hours - preparation for classes (reading the indicated literature and preparing assignments): 3 hours - preparation for final assessment + assessment: 5 + 0,5 = 5,5 hours Total student workload amounts to 34,5 hours, which corresponds to 1,7 ECTS credits. 3. Workload related to conducted scientific research: - reading indicated scientific literature: 10 hours - participation in classes (including analysis of scientific studies in the field of biostatistics): 3 hours - preparation for final assessment (including scientific studies in the field of biostatistics): 5 hours - consultations including scientific studies in the field of biostatistics: 0,5 hour Total student workload related to conducted scientific research amounts to 21,5 hours, which corresponds to 1,1 ECTS credits. 4. Time required for preparation and participation in the assessment process: - preparation for final assessment: 5 + 0,5 = 5,5 hours (0,28 ECTS credits) 5. Balance of student workload of a practical nature: - participation in practical classes (including practical assessment): 5 hours Total student workload of a practical nature amounts to 5 hours, which corresponds to 0,25 ECTS credits. 6. Time required for completion of mandatory internship: not applicable

Learning outcomes - knowledge

B.W21 The student knows and understands IT and statistical tools used to process and present data and solve problems

Learning outcomes - skills

E.U2 The student is able to interpret scientific research and relate it to the current state of knowledge E.U3 The student is able to use specialized national and international scientific literature

Learning outcomes - social competencies

K5 The student is ready to recognize and acknowledge their own limitations, self-assess their deficits and educational needs K6 The student is ready to use objective sources of information

Course coordinators

Alina Jaroch

Teaching methods

- informative lecture with multimedia presentation - practical classes (independent work - calculating basic statistics) - analysis of scientific articles, with particular emphasis on the statistical analysis

Expository teaching methods

- informative (conventional) lecture

Type of course

compulsory course

Prerequisites

The student possesses knowledge in biomedical sciences acquired through previous major courses. Has basic mathematical skills (including operations on numbers, percentages, powers, and logarithms) as well as an elementary knowledge of descriptive statistics. The student is able to use a computer and office software, particularly spreadsheets, and is capable of analyzing and interpreting scientific texts.

Assessment criteria

Verification of the learning outcomes achieved by the student will be carried out through the assessment of active participation, preparation for classes, and mastery of the material covered in lectures and exercises.

The evaluation of knowledge, skills, and social competencies will include, among other methods, careful observation of the student's performance during practical tasks.

Attendance at lectures and exercises is required to pass the course. The course is completed based on a test covering both lecture and exercise content. A minimum of 60% correct answers is required to pass the course

Practical placement

not applicable

Bibliography

1. Daniel, W. W. (2015). Biostatistics: A foundation for analysis in the health sciences (7th ed.). Hoboken, NJ: Wiley.
2. Rosner, B. (2015). Fundamentals of biostatistics (7th ed.). Boston, MA: Cengage Learning.
3. Campbell, M. J., Machin, D., & Walters, S. J. (2010). Medical statistics: A textbook for the health sciences (4th ed.). Chichester, UK: John Wiley & Sons.

Additional information

Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system:

Description of 1800-F4-Podbios-SJ in USOSweb