Statistics in biology and medicine 4010-OBS-30
● Back ground in molecular and cellular biology
o the structure of eukaryotic and prokaryotic cells;
o molecular genetics;
o protein structure and function.
● "Introduction to oncology research," focusing in particular on a detailed description and topics in human genetics, such as:
o somatic and germline mutations;
o gene fusions and DNA methylation;
o PDL1-dependent regulation of the immune system
● Genome wide mapping;
● Basic concepts of statistics
o Statistical tests (Student's t-test, Wilcox test, chi-square test, Fisher's exact test);
o Gene expression analysis
o Data loading and analysis in Rstudio
The order of issues addressed and the level of detail in their implementation may change slightly.
Prerequisites (description)
Course coordinators
Type of course
Mode
Learning outcomes
The student knows and understands:
• W1 - knows advanced methods of designing and analyzing the computational complexity of RStudio algorithms and programs [K_W02]
• W2 - Knows the principles of operation and applications of the most important algorithms used in computer simulations in a selected field (genetic algorithms) [K_W03]
• W3 - Knows statistical data analysis methods [K_W04]
• W4 - Is proficient in at least one programming language and libraries of algorithms and data structures; has knowledge of the practical conditions for efficient algorithm implementations [K_W05]
• W5 - has knowledge of current development directions and the latest discoveries in the field of network technologies[K_W07]
• W6 - Has in-depth knowledge of the applications of numerical computations in medical applications [K_W08]
The student is able to:
• U1 - is able to determine directions for further learning and implement a self-learning process [K_U07]
• U2 - is able to use modern information and communication technologies to communicate with others [K_U09]
• U3 - is able to prepare a simple correlation of biological and medical data [K_U10]
• U4 - is able to perform statistical calculations typical for medical applications [K_U11]
• U5 - is able to assess the usefulness and feasibility of using new hardware and software solutions to solve computational problems in biology and medicine [K_U13]
• U6 - knows the principles of occupational health and safety in the bioinformatics profession well[K_U14]
• U7 - is able to perform a preliminary economic analysis of hardware and software solutions [K_U15]
• U8 - can analyze and evaluate statistical differences in a biomedical system [K_U17]
• U9 - Designs and analyzes distributed RStudio algorithms; can justify their correctness and analyze their complexity [K_U18]
• U10 - Designs efficient algorithms and justify their correctness; understands the impact of computer architecture on the way algorithms are executed and can use this to tune them
The student is ready to:
• K1 - Establishes and maintains collaboration with others; strives to achieve team goals by appropriately planning and organizing their own work and that of others [K_K02]
• K2 - Thinks creatively to identify problems, improve existing ones, or create new solutions [K_K03]
• K3 - Works independently and effectively with large amounts of data, recognizes relationships, and draws conclusions correctly using the principles of logic [K_K04]
• K4 - Is focused on the best possible task performance; pays attention to detail; is systematic [K_K05]
• K5 - Is focused on continually acquiring new knowledge, skills, and experiences; has a desire for continuous improvement and professional development [K_K07]
• K6 - Demonstrates and adheres to the principles and standards applicable to the bioinformatics profession, including ethical standards; understands the social role of the IT profession [K_K10]
Assessment criteria
During classes, learning outcomes will be monitored through assignments (projects) for students to complete independently. Completion of assignments will be documented in the form of reports and studies assessed by teachers and will be verified on an ongoing basis by the teachers.
NOTE
1. A sick leave does not exempt students from knowledge of the material. It only entitles them to an individualized form of assessment.
2. Students who have received approval for an individualized study plan are required to contact the course coordinator to discuss how to achieve all the learning outcomes assigned to the course. If the above-mentioned outcomes cannot be achieved, the coordinator may refuse to grant credit for the course.
3. Attendance is mandatory. In cases of justified absence, the student is required to contact the course coordinator immediately.
Practical placement
Not applicable.
Bibliography
Genetyka Medyczna autorzy E. Tobias, M.Connor M. Ferguson-Smith
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: