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Faculty of Medicine / MEDICINE / BIOSTATISTICS

Course:BIOSTATISTICS/
Course IDCourse statusSemesterECTS creditsLessons (Lessons+Exercises+Laboratory)
7927Obavezan1102+2+0
ProgramsMEDICINE
Prerequisites No
Aims Getting basic and advanced statistical techniques necessary for organizing and conducting medical surveys. Using appropriate statistical techniques in the phase of data editing and processing. Getting some IBM SPSS commands.
Learning outcomes
Lecturer / Teaching assistantBožidar V. Popović, PhD
MethodologyLectures and exercises. Individual and group work with raw statistical data.
Plan and program of work
Preparing weekPreparation and registration of the semester
I week lecturesThe importance of statistics in biomedical surveys. Retrospective and prospective studies.
I week exercisesThe importance of statistics in biomedical surveys. Retrospective and prospective studies.
II week lecturesThe basic statistics (mean value, variance, confidence intervals)
II week exercises The basic statistics (mean value, variance, confidence intervals)
III week lecturesMedian. Percentiles and quartiles. Inter-quartile rank. The distribution function. Normal distribution.
III week exercisesMedian. Percentiles and quartiles. Inter-quartile rank. The distribution function. Normal distribution.
IV week lecturesSymmetric and asymmetric distributions. The estimation of the mean value in case of symmetric and asymmetric distributions.
IV week exercisesSymmetric and asymmetric distributions. The estimation of the mean value in case of symmetric and asymmetric distributions.
V week lecturesThe outliers. The treatments of outliers.
V week exercisesThe outliers. The treatments of outliers.
VI week lecturesParametric statistics. Statistical hypothesis and test. The first and second kind errors.
VI week exercisesParametric statistics. Statistical hypothesis and test. The first and second kind errors.
VII week lecturest test. t test for two independent samples. t test for two dependent samples.
VII week exercisest test. t test for two independent samples. t test for two dependent samples.
VIII week lecturesAnalysis of variance.
VIII week exercisesAnalysis of variance.
IX week lecturesNon-parametric statistics. Mann Whitney and Wilcoxon test.
IX week exercisesNon-parametric statistics. Mann Whitney and Wilcoxon test.
X week lecturesKruskal Wallis test.
X week exercisesKruskal Wallis test.
XI week lecturesUsing of the parametrical and non-parametrical statistical techniques in dealing with raw statistical data.
XI week exercisesUsing of the parametrical and non-parametrical statistical techniques in dealing with raw statistical data.
XII week lecturesCorrelation analysis.
XII week exercisesCorrelation analysis.
XIII week lecturesRegression analysis.
XIII week exercisesRegression analysis.
XIV week lecturesThe survival function. Kaplan Meier estimation of the survival function.
XIV week exercisesThe survival function. Kaplan Meier estimation of the survival function.
XV week lecturesContingency tables. The coefficient of contingency and Cramer φ. Risk analysis.
XV week exercisesBuilding of the statistical data base, data processing by means of appropriate statistical techniques.
Student workloadIn semester Lectures and final exam: (13 h and 20 min) x 16 = 213 h and 20 min. Neophodne pripreme prije početka semestra (administracija, upis, ovjera) 2 x (13 sati i 20 min) = 26 h and 40 min. Total ballast for subject 10 x 30 = 300 h Additional work for repeated exam preparation, including exam preparation is 60 h Ballast structure: 213 h and 20 min (Lectures) + 26 h and 40 min (Preparation) + 60 h (Additional work)
Per weekPer semester
10 credits x 40/30=13 hours and 20 minuts
2 sat(a) theoretical classes
0 sat(a) practical classes
2 excercises
9 hour(s) i 20 minuts
of independent work, including consultations
Classes and final exam:
13 hour(s) i 20 minuts x 16 =213 hour(s) i 20 minuts
Necessary preparation before the beginning of the semester (administration, registration, certification):
13 hour(s) i 20 minuts x 2 =26 hour(s) i 40 minuts
Total workload for the subject:
10 x 30=300 hour(s)
Additional work for exam preparation in the preparing exam period, including taking the remedial exam from 0 to 30 hours (remaining time from the first two items to the total load for the item)
60 hour(s) i 0 minuts
Workload structure: 213 hour(s) i 20 minuts (cources), 26 hour(s) i 40 minuts (preparation), 60 hour(s) i 0 minuts (additional work)
Student obligations
Consultations
Literature1. B. Rosner (2010), Fundamentals in Biostatistics,Cengage Learning 2. A. Field (2013), Discovering Statistics using IBM SPSS Statistics, SAGE Publications
Examination methodsTwo tests of ten points (20 points in total) Term paper 25 points. Regular lectures presence up to 5 points. Final exam 50 points. Prelazna ocjena se dobija ako se kumulativano sakupi min 50 poena.
Special remarks
CommentIn phase of lecturs and exercises all statistical techniques are being ilustrated using IBM SPSS Statistics.
Grade:FEDCBA
Number of pointsless than 50 pointsgreater than or equal to 50 points and less than 60 pointsgreater than or equal to 60 points and less than 70 pointsgreater than or equal to 70 points and less than 80 pointsgreater than or equal to 80 points and less than 90 pointsgreater than or equal to 90 points

Faculty of Medicine / MEDICINE / MEDICAL INFORMATICS

Course:MEDICAL INFORMATICS/
Course IDCourse statusSemesterECTS creditsLessons (Lessons+Exercises+Laboratory)
7928Obavezan1103+1+0
ProgramsMEDICINE
Prerequisites None
Aims The primary educational objectives are to introduce and work with specific software packages and to familiarize students with information systems and information technology used in biomedicine, healthcare, and scientific research. Knowledge: Familiarity with healthcare, hospital, and other information systems; expert systems; artificial intelligence, neurocomputers, databases, and information and communication technologies relevant to biomedicine, healthcare, and biomedical sciences. Skills: Training students to: engage in specific healthcare information systems, use information and communication technology for professional purposes; independently search databases and electronic sources of information and literature; use specific programs for writing and presenting professional and scientific papers.
Learning outcomes After passing this exam, the student will be able to: Use various sources and citation databases for scholarly research Differentiate categories of scientific papers Demonstrate the advantages of digitalization in various aspects of healthcare Explain methods of acquiring medical data using modern devices Understand ways of storing digital patient data and medical history Understand information systems used in different healthcare fields Explain the role of artificial intelligence and expert systems in healthcare Explain the role of robotics and telemedicine
Lecturer / Teaching assistantProf. dr Ljubiša Stanković (professor), Doc. dr Anđela Draganić (assistant)
MethodologyLectures and exercises. Individual and group work with raw statistical data. Lectures and exercises. Individual and group work with raw statistical data. Lectures and exercises. Individual and group work with raw statistical data.
Plan and program of work
Preparing weekPreparation and registration of the semester
I week lecturesHistory of Computing. Digitization in Medical Practice. Types of Medical Data. Digital Records of Medical Data.
I week exercisesHistory of Computing. Digitization in Medical Practice. Types of Medical Data. Digital Records of Medical Data.
II week lecturesCollecting and Analyzing Digital Data. Analysis of Medical Images. History of Computerized Tomography and Magnetic Resonance Imaging. Modern Devices for Capturing and Processing Medical Images.
II week exercises Collecting and Analyzing Digital Data. Analysis of Medical Images. History of Computerized Tomography and Magnetic Resonance Imaging. Modern Devices for Capturing and Processing Medical Images.
III week lectures Biomedical scientific informatics and biomedical scientific information. Citation databases. Biomedical scientific information system. Studying literature and measuring the quality of papers and journals.
III week exercisesBiomedical scientific informatics and biomedical scientific information. Citation databases. Biomedical scientific information system. Studying literature and measuring the quality of papers and journals.
IV week lecturesSearching databases and library information system COBISS. Primary, secondary, and tertiary publications. Searching indexing and citation databases: Medline, Web of Science, Scopus, Serbian Citation Index, Hrčak databases, and others. Searching full-text databases.
IV week exercisesSearching databases and library information system COBISS. Primary, secondary, and tertiary publications. Searching indexing and citation databases: Medline, Web of Science, Scopus, Serbian Citation Index, Hrčak databases, and others. Searching full-text databases.
V week lecturesCitation analyses, evaluation of scientific work, evidence-based medicine and practice, meta-analysis based on published research results.
V week exercisesCitation analyses, evaluation of scientific work, evidence-based medicine and practice, meta-analysis based on published research results.
VI week lecturesHealth information systems. Hospital information systems. Pharmaceutical information system and pharmacoinformatics in the context of modern information technology application. Laboratory information system. Modern information technologies in the management system of medical documentation, electronic records, software for clinic and office management.
VI week exercisesHealth information systems. Hospital information systems. Pharmaceutical information system and pharmacoinformatics in the context of modern information technology application. Laboratory information system. Modern information technologies in the management system of medical documentation, electronic records, software for clinic and office management.
VII week lecturesApplication of information and communication technology in specific biomedical scientific fields.
VII week exercisesApplication of information and communication technology in specific biomedical scientific fields.
VIII week lecturesExpert systems. Artificial intelligence and neural networks in biomedicine.
VIII week exercisesExpert systems. Artificial intelligence and neural networks in biomedicine.
IX week lecturesDecision-making in clinical practice. Application of specialized software tools for decision support.
IX week exercisesDecision-making in clinical practice. Application of specialized software tools for decision support.
X week lecturesRobotics in medicine.
X week exercisesRobotics in medicine.
XI week lecturesTelemedicine.
XI week exercisesTelemedicine.
XII week lecturesApplication of information technology in modeling parts of the human body and prosthetic components.
XII week exercisesApplication of information technology in modeling parts of the human body and prosthetic components.
XIII week lecturesApplication of information technology and digital innovations in diagnostics and therapy.
XIII week exercisesApplication of information technology and digital innovations in diagnostics and therapy.
XIV week lecturesMobile applications for monitoring key health parameters of patients. Processing and analysis of collected data. Remote consultations.
XIV week exercisesMobile applications for monitoring key health parameters of patients. Processing and analysis of collected data. Remote consultations.
XV week lecturesFinal exam.
XV week exercisesFinal exam.
Student workloadAdditional work for exam preparation in the retake exam period, including taking the retake exam from 0 to 30 hours (remaining time from the first two items to the total workload for the course) 60 hours and 0 minutes Load structure: 213 hours and 20 minutes (teaching), 26 hours and 40 minutes (preparation), 60 hours and 0 minutes (additional work)
Per weekPer semester
10 credits x 40/30=13 hours and 20 minuts
3 sat(a) theoretical classes
0 sat(a) practical classes
1 excercises
9 hour(s) i 20 minuts
of independent work, including consultations
Classes and final exam:
13 hour(s) i 20 minuts x 16 =213 hour(s) i 20 minuts
Necessary preparation before the beginning of the semester (administration, registration, certification):
13 hour(s) i 20 minuts x 2 =26 hour(s) i 40 minuts
Total workload for the subject:
10 x 30=300 hour(s)
Additional work for exam preparation in the preparing exam period, including taking the remedial exam from 0 to 30 hours (remaining time from the first two items to the total load for the item)
60 hour(s) i 0 minuts
Workload structure: 213 hour(s) i 20 minuts (cources), 26 hour(s) i 40 minuts (preparation), 60 hour(s) i 0 minuts (additional work)
Student obligations Students are required to attend lectures, complete practical tasks during exercises, and prepare seminar papers that they publicly present.
Consultations
LiteratureEdward H. Shortlie, James J. Cimino, “Biomedical Informatics-Computer Applications in Health Care and Biomedicine", Springer ISBN 978-1-4471-4473-1.
Examination methodsAttendance at lectures 5, the presence on the exercises 5, essay (written version + oral presentation) 30, PowerPoint presentation 10, exam - test 50 points, a total of 100 points Passing grade can be obtained if the cumulative gathering is min 50 points
Special remarks
Comment
Grade:FEDCBA
Number of pointsless than 50 pointsgreater than or equal to 50 points and less than 60 pointsgreater than or equal to 60 points and less than 70 pointsgreater than or equal to 70 points and less than 80 pointsgreater than or equal to 80 points and less than 90 pointsgreater than or equal to 90 points

Faculty of Medicine / MEDICINE / SCIENTIFIC RESEARCH METHODOLOGY

Course:SCIENTIFIC RESEARCH METHODOLOGY/
Course IDCourse statusSemesterECTS creditsLessons (Lessons+Exercises+Laboratory)
7929Obavezan1102+2+0
ProgramsMEDICINE
Prerequisites
Aims Acquiring knowledge and skills, transferring knowledge from the field of methodology of scientific research
Learning outcomes 1. Knows the general methodological principles of scientific research. 2. Knows the types of scientific research and their basic characteristics. 3. Know the ethical standards in biomedical research 4. Know the basic elements of evidence-based medicine. 5. Knows the concept of association and causality, and causality criteria. 6. Knows how to calculate indicators of morbidity and mortality 8. Knows how to describe types of epidemiological studies and their advantages and disadvantages 9. Knows how to differentiate sample types and their application. 10. Knows different types of error of measurement - bias 11. Knows the principles of planning and reporting a scientific-research project.
Lecturer / Teaching assistantprof. dr Dragan Laušević associate prof. dr Boban Mugoša
MethodologyLectures, practice work, seminars, consultations
Plan and program of work
Preparing weekPreparation and registration of the semester
I week lecturesGeneral methodology of scientific research in medicine
I week exercises
II week lecturesClassification of scientific research - types of research
II week exercises
III week lecturesEvidence based medicine
III week exercises
IV week lecturesImportant Ethical Standards in Biological and Medical Research
IV week exercises
V week lecturesConcept of Association and Causality
V week exercises
VI week lecturesMeasures of the frequency of a health disorders
VI week exercises
VII week lecturesStandardization of measures of morbidity and mortality
VII week exercises
VIII week lecturesSample (type and sample size
VIII week exercises
IX week lecturesDescriptive studies
IX week exercises
X week lecturesBasic characteristics of various types of observational analytical studies (cohort studies, case controls studies, cross-sectional studies)
X week exercises
XI week lecturesInterventional (experimental) studies
XI week exercises
XII week lecturesExperiments on animals in laboratory conditions
XII week exercises
XIII week lecturesVariability and error of measurement (bias)
XIII week exercises
XIV week lecturesSkreening
XIV week exercises
XV week lecturesPreparation and submission of a scientific research project
XV week exercises
Student workload
Per weekPer semester
10 credits x 40/30=13 hours and 20 minuts
2 sat(a) theoretical classes
0 sat(a) practical classes
2 excercises
9 hour(s) i 20 minuts
of independent work, including consultations
Classes and final exam:
13 hour(s) i 20 minuts x 16 =213 hour(s) i 20 minuts
Necessary preparation before the beginning of the semester (administration, registration, certification):
13 hour(s) i 20 minuts x 2 =26 hour(s) i 40 minuts
Total workload for the subject:
10 x 30=300 hour(s)
Additional work for exam preparation in the preparing exam period, including taking the remedial exam from 0 to 30 hours (remaining time from the first two items to the total load for the item)
60 hour(s) i 0 minuts
Workload structure: 213 hour(s) i 20 minuts (cources), 26 hour(s) i 40 minuts (preparation), 60 hour(s) i 0 minuts (additional work)
Student obligations
Consultationspermanently by e-mail
Literature
Examination methods30 points - regular attendance (15), activity during practical work (15) 20 points - seminar 50 points - exam in test form To pass the exam it is necessary to collect a minimum of 50 points cumulatively
Special remarks
Comment
Grade:FEDCBA
Number of pointsless than 50 pointsgreater than or equal to 50 points and less than 60 pointsgreater than or equal to 60 points and less than 70 pointsgreater than or equal to 70 points and less than 80 pointsgreater than or equal to 80 points and less than 90 pointsgreater than or equal to 90 points

Faculty of Medicine / MEDICINE / BASICS OF CELL BIOLOGY

Course:BASICS OF CELL BIOLOGY/
Course IDCourse statusSemesterECTS creditsLessons (Lessons+Exercises+Laboratory)
7932Obavezan252++0
ProgramsMEDICINE
Prerequisites Does not have
Aims Familiarity with modern concepts of cell structure and function. Understanding the principles of cell structure and their importance in the development of new therapeutic options. Getting to know the mutual influence of the cell on the environment and the environment on the cell. Understanding the process of apoptosis and malignant cell alteration. Gaining knowledge about cell receptors and immunity, and the therapeutic importance of developing targeted therapy and immunotherapy of malignant diseases.
Learning outcomes After listening to lectures and exercises, students will be able to understand the complex principles of cell structure, the mutual influence of the cell on the environment and the environment on the cell, understands the process of cell death and apoptosis, and their importance in the practical application of the development of various therapeutic modalities. They are able to apply the acquired knowledge from the process of malignant alteration of cells, cellular immunity and cellular receptors in the planning and execution of scientific research works and projects.
Lecturer / Teaching assistantProf. dr Filip Vukmirović Prof. dr Vladimir Todorović
MethodologyLectures, exercises, seminars, consultations, seminar papers, presentation in front of the group.
Plan and program of work
Preparing weekPreparation and registration of the semester
I week lecturesStructure and function of cell organelles.
I week exercisesStructure and function of cell organelles.
II week lecturesCell damage and adaptation.
II week exercises Cell damage and adaptation.
III week lecturesCell death.
III week exercisesCell death.
IV week lecturesTypes of necrosis. Apoptosis and its importance in clinical research.
IV week exercisesTypes of necrosis. Apoptosis and its importance in clinical research.
V week lecturesGrowth factors and their clinical significance.
V week exercisesGrowth factors and their clinical significance.
VI week lecturesCell receptors and their importance in disease therapy.
VI week exercisesCell receptors and their importance in disease therapy.
VII week lecturesExtracellular matrix and its clinical significance in tumor growth and development.
VII week exercisesExtracellular matrix and its clinical significance in tumor growth and development.
VIII week lecturesMatrix metalloproteinase in clinical research.
VIII week exercisesMatrix metalloproteinase in clinical research.
IX week lecturesAngiogenesis. Contemporary concepts of antiangiogenic therapy.
IX week exercisesAngiogenesis. Contemporary concepts of antiangiogenic therapy.
X week lecturesCell adhesion molecules and their importance in diagnostics and clinical research.
X week exercisesCell adhesion molecules and their importance in diagnostics and clinical research.
XI week lecturesImmunohistochemical methods and analyzes used in diagnostics and clinical research.
XI week exercisesImmunohistochemical methods and analyzes used in diagnostics and clinical research.
XII week lecturesPrinciples of tumor biology.
XII week exercisesPrinciples of tumor biology.
XIII week lecturesEpidermal growth factor receptor inhibitors.
XIII week exercisesEpidermal growth factor receptor inhibitors.
XIV week lecturesCancer stem cells.
XIV week exercisesCancer stem cells.
XV week lecturesMechanisms of resistance to anticancer drugs.
XV week exercisesMechanisms of resistance to anticancer drugs.
Student workloadIn the semester Teaching and final exam: (6.66 hours) x 16 = 106.56 hours Necessary preparations before the beginning of the semester (administration, enrollment, certification): (6.66 hours) x 2 = 13.32 hours Total workload for the course: 5 x 30 = 150 hours Load structure: 106.56 hours (teaching and final exam) + 13.32 hours (preparation) + 30 hours (additional work)
Per weekPer semester
5 credits x 40/30=6 hours and 40 minuts
2 sat(a) theoretical classes
0 sat(a) practical classes
0 excercises
4 hour(s) i 40 minuts
of independent work, including consultations
Classes and final exam:
6 hour(s) i 40 minuts x 16 =106 hour(s) i 40 minuts
Necessary preparation before the beginning of the semester (administration, registration, certification):
6 hour(s) i 40 minuts x 2 =13 hour(s) i 20 minuts
Total workload for the subject:
5 x 30=150 hour(s)
Additional work for exam preparation in the preparing exam period, including taking the remedial exam from 0 to 30 hours (remaining time from the first two items to the total load for the item)
30 hour(s) i 0 minuts
Workload structure: 106 hour(s) i 40 minuts (cources), 13 hour(s) i 20 minuts (preparation), 30 hour(s) i 0 minuts (additional work)
Student obligations
Consultations
Literature1. A. Johnson, J.Lewis, D. Morgan. Molecular Biology of the Cell. Garland Science. Sixth Edition. 2014.
Examination methodsClass attendance 20 points, seminar paper 20 points, colloquium 10 points; Final exam (written) up to 50 points. A passed exam means a cumulative score of 50 points or more.
Special remarks
Comment
Grade:FEDCBA
Number of pointsless than 50 pointsgreater than or equal to 50 points and less than 60 pointsgreater than or equal to 60 points and less than 70 pointsgreater than or equal to 70 points and less than 80 pointsgreater than or equal to 80 points and less than 90 pointsgreater than or equal to 90 points

Faculty of Medicine / MEDICINE / BASIC OF MOLECULAR GENETICS

Course:BASIC OF MOLECULAR GENETICS/
Course IDCourse statusSemesterECTS creditsLessons (Lessons+Exercises+Laboratory)
9118Obavezan252++0
ProgramsMEDICINE
Prerequisites No prerequisites required
Aims Course aims: Through this course, doctoral students of medicine and dentistry will be familiar with modern achievements in the field of molecular medicine and genetics, whose achievements are essential in the study of human traits and diseases resulting from changes in the human genome, as well as for the diagnosis and therapy of the disease in man. Students will be introduced to modern methods that are applied in molecular genetics, oncogenetics, immunogenetics, principles of research in medical genetics, principles of genetic information and protecting the confidentiality of genetic data in research and diagnosis and the bioethical principles in medical and clinical genetics.
Learning outcomes After completing the course of molecular genetics in medical research PhD student of medicine and dentistry will be able to: 1. describe and explain the basic principles of molecular genetics, enzyme and gene regulatory systems and epigenetic mechanisms controlling gene expression; 2 define the mechanisms of mutations and repair mechanisms of mutation and design a basic model of research on mutations and their impact on human health; 3. explain the procedures and methods in molecular genetics that are used for analysis and identification of mutations in the human genome; 4. anticipate the importance of genetic research in certain high-risk populations and explain the importance of different research models in medical and molecular genetics; 5. use the relevant literature, databases and professional sites (OMIM, LDDB, POSSUM, ORPHANET); 6. place and set up certain medical-genetic problem and present the results of previous studies and plans to study this issue; 7. recognize bioethical risks and apply bioethical principles in the collection and handling of genetic data and knows how to protect the confidentiality of genetic data in accordance with bioethical principles.
Lecturer / Teaching assistantFull Professor Olivera Miljanović, MD, OhD; Full Professor dr Vladimir Todorović. MD, PhD
MethodologyLectures, workshops, seminars
Plan and program of work
Preparing weekPreparation and registration of the semester
I week lecturesTransfer of genetic information and models of inheritance: the transmission of characteristics, the interpretation of a family tree, complex syndromes.
I week exercisesProblem solving: monitoring transmission of characteristics through the generations. Interpretation of family trees and models of inheritance in families. Making family trees and recognition the model of inheritance
II week lecturesThe organization and function of the human genome: the central dogma of molecular genetics, genetic and epigenetic control of gene expression.
II week exercises Describing the structure of nucleic acids, mechanisms of replication, transcription and translation. genetic information flow from DNA to pproteins, genetic and epigenetic control of gene expression, preservation of genetic information.
III week lecturesMutations in the human genome: mechanisms of origin, type of mutation, DNA repair, gene polymorphisms, genotype-phenotype correlations.
III week exercisesWorking with patients: identification of phenotye characteristics of patients on the basis of a given genotype and defining the genotype of the patient on the basis of known phenotype.
IV week lecturesChromosomal basis of inheritance: gametogenesis, recombination, silenced genes and genomic imprinting. Molecular cytogenetics: detection and interpretation of chromosomes and microdeletion syndrome.
IV week exercisesIdentifying chromosomal aberrations based on cytogenetic and FISH microscopic preparations and correlation with fenotype expression. Unusual chromosomal pair XY, X-inactivation.
V week lecturesThe study of genes and the human genome: The project to human genome mapping, gene maps and genetic markers, sequencing the human genome
V week exercisesDisplaying and interpretation of genetic map and morbid genome. The project of human genome mapping. Testing of candidate genes for mutations. The role of chromosomal aberrations in the determination of candidate genes and regions.
VI week lecturesMethods of molecular genetics in medical research: The isolation, electrophoresis and hybridization of DNA and RNA, DNA and RNA sequences amplification, PCR and Real-Time PCR, sequencing, microarray.
VI week exercisesDemonstration of molecular genetics research and diagnostics methods in the laboratory of the Centre for Medical Genetics Centre of Montenegro.
VII week lecturesImplementation of molecular genetics methods in the research, diagnosis and treatment of monogenic diseases.
VII week exercisesDemonstration of research and diagnostics protocols and indicating the genetic analysis in the diagnosis and prevention of monogenic diseases - demonstration of the use of professional electronic databases: OMIM, POSSUM, LDDB, ORPHANET ....
VIII week lecturesImplementation of molecular genetics methods in the research, diagnosis and treatment of monogenic diseases.
VIII week exercisesModels of genetic determination, dichotomous vs quantitative traits, polygenic theory, genes and complex traits / diseases, the study of genetic susceptibility to diseases. Oncogenes and tumor suppressor genes - the function and activation.
IX week lecturesThe medical protocols in the treatment of genomic disorders: identification the population at risk, assessment of risk repetition, diagnosis, registration and prevention of hereditary diseases.
IX week exercisesRecognizing the risk of hereditary diseases, setting up a research and diagnostic protocols, genetic risk assessment and genetic information and counseling. Genetic disorder prevention: Prenatal and preimplantation diagnostic. Treatment options: gene ther
X week lecturesGene based therapies and personalized medicine.
X week exercisesDemonstration the models of therapy with known genetic entities: the replacement of the missing genes or functions, downstream disease pathology targeting, suppression of unwanted phenotype.
XI week lecturesPredictive molecular markers.
XI week exercisesDemonstration of clinical and research importance of predictive molecular markers
XII week lecturesOncogenes and tumor suppressor genes - the function and activation. Natural selection and of evolution of cancer
XII week exercisesDemonstration of clinical examples (patients) with known molecular mechanisms of cancer.
XIII week lecturesInnovative cancer therapies - gene therapy. The efficacy and toxicity of targeted therapies.
XIII week exercisesDemonstration of clinical examples (patients): the success and complications of cancer therapy.
XIV week lecturesPreclinical studies and early phase clinical trials of drugs.
XIV week exercisesDemonstration of the principles of setting up and conducting preclinical and early clinical studies in medicine.
XV week lecturesBioethical principles in medical genetic research, consent to genetic testing, genetic information and confidentiality of genetic data.
XV week exercisesApplication of bioethical principles in the genetic informind and pre-research informative consent tion and for permission to research, identifying the risks and solving the ethical dilemmas with respect for privacy and human rights.
Student workloadWeekly: 10 credits x 40/30 = 13 hours and 20 minutes Structure: 0.75 hours of lectures 0.75 hours of practice 2 hours and 20 minutes of independent analysis exercises 2.5 hours of preparation seminar 2 hour consultation 5 hours of individual work During the semester: Lectures and final exam: 13 hours and 20 minutes x 16 = 214 hours and 20 min. Preparation before the beginning of the semester (administration, enrollment and verification): 2 x 13 hours and 20 min = 26 h 40 min Total workload to the course: 10 x 30 = 300 hours Additional work for preparation of makeup final exam, including the exam taking: 59 hours (the remaining time of the first two items to the total load transfer) Structure: 214 hours and 20 minutes (lectures) + 19 hours 40 minutes (preparation) + 59 hours (additional work)
Per weekPer semester
5 credits x 40/30=6 hours and 40 minuts
2 sat(a) theoretical classes
0 sat(a) practical classes
0 excercises
4 hour(s) i 40 minuts
of independent work, including consultations
Classes and final exam:
6 hour(s) i 40 minuts x 16 =106 hour(s) i 40 minuts
Necessary preparation before the beginning of the semester (administration, registration, certification):
6 hour(s) i 40 minuts x 2 =13 hour(s) i 20 minuts
Total workload for the subject:
5 x 30=150 hour(s)
Additional work for exam preparation in the preparing exam period, including taking the remedial exam from 0 to 30 hours (remaining time from the first two items to the total load for the item)
30 hour(s) i 0 minuts
Workload structure: 106 hour(s) i 40 minuts (cources), 13 hour(s) i 20 minuts (preparation), 30 hour(s) i 0 minuts (additional work)
Student obligations Students are required to attend lectures, solve the tasks, do one seminar homework with mentor consultation.
ConsultationsAfter lectures, seminars and exercises, online and live in agreement with the professor and teaching assistant.
LiteraturePeter Turnpenny, Sian Ellard: Emerryjeve osnove medicinske genetike. Ur. hrv. izdanja: Bulić-Jakuš F. i Barišić I. Medicinska naklada, Zagreb 2011. ili 15-to izdanje na engleskom jeziku, 2017. R.L. Nussbaum, R.R. McInnes, H.E. Willard: Tompson & Tompson Genetics in medicine, Eight ed. Elsevier, 2016.
Examination methodsThe forms of knowledge testing and grading: Activity in lectures and seminars 10 points Successfully solving the tasks during classes 20 points Seminar 20 points Final exam 50points Passing grade gets the cumulative set of at least 50 points.
Special remarks
CommentNote: Additional information can be obtained by the subject teacher, head of the study program and the Vice-dean for Academic Affairs.
Grade:FEDCBA
Number of pointsless than 50 pointsgreater than or equal to 50 points and less than 60 pointsgreater than or equal to 60 points and less than 70 pointsgreater than or equal to 70 points and less than 80 pointsgreater than or equal to 80 points and less than 90 pointsgreater than or equal to 90 points

Faculty of Medicine / MEDICINE / POSEBNA POGLAVLJA IZ JAVNOG ZDRAVLJA

Course:POSEBNA POGLAVLJA IZ JAVNOG ZDRAVLJA/
Course IDCourse statusSemesterECTS creditsLessons (Lessons+Exercises+Laboratory)
11575Obavezan252++0
ProgramsMEDICINE
Prerequisites There is none
Aims The aim of this course is for students to understand and adopt the multidisciplinarity of public health, modern approaches and basic principles of public health sciences, to know how to classify research achievements in the field of public health and to compare public health functions and services of different countries while accepting the public health ethical code. In addition, the goal of the course is to educate students on the implementation of health promotion and disease prevention measures in order to improve health and prevent disease, with special reference to the principles and role in the process of protecting the health of the population. In addition, the goal is to present the basic strategy of public health, as an essential concept of health protection and factors that determine health, as well as to identify methods of suppressing their negative effect on peoples health and life.
Learning outcomes Students gain an understanding and develop critical thinking about how globalization and development affect health and are trained to analyze responses and approaches to current and future global trends that have both positive and negative effects on health and health inequalities. 2. In addition, the expected outcomes refer to the training of people in the community to increase control over their health and to improve it, to strengthen activities to improve health in the community, to implement disease prevention measures and participate in activities to increase the level of information and quantity knowledge about health risk factors and measures to eliminate them. 3. Also, students will be in a position to apply the principles of public health in the areas of their professional activity, to advocate, to initiate, to represent their implementation in all segments of health care. 4. The student will be able to: educate citizens about increasing control over their health, improving health and disease prevention measures; conducts health education activities and supervision of nurses and other staff in the team; advises mothers on the importance of breastfeeding and how to properly feed newborns and infants; assess smoking status, degree of smoking addiction, as well as methods for quitting smoking; identifies alcohol and substance (drug) addicts, adequately approaches these patients and educates vulnerable groups in the prevention of alcohol and drug abuse; educates vulnerable groups (adolescents) about sexually transmitted diseases; understands the principles of proper nutrition and suggests an adequate way of eating to citizens; explain the importance of regular physical activity and its impact on health; explain obesity as a risk factor for contracting mass non-communicable diseases, and to propose non-pharmacological measures for its treatment; identifies people under stress and trains them on stress reduction methods; understands and analyzes key risk factors, as well as the principles of health promotion in order to prevent cardiovascular, malignant diseases, chronic obstructive pulmonary diseases and diabetes; understands the specifics of the geriatric population and ways to promote health in this population group.
Lecturer / Teaching assistantRegular professor Agima Ljaljević Regular professor Aneta Bošković
MethodologyStudents work is supervised and realized in the form of lectures, but also other forms of theoretical and practical training, such as presentations, case studies, discussions in small groups. Students are expected to work independently on the preparation of a seminar paper, to read the recommended literature, and to actively participate in all forms of teaching
Plan and program of work
Preparing weekPreparation and registration of the semester
I week lecturesDefinition and development of public health; Seminar - Methods of public health sciences;
I week exercises
II week lecturesClassifications of public health research achievements;. S - Public health services of different countries;
II week exercises
III week lecturesPublic health functions S - Ethical principles and directions of public health;
III week exercises
IV week lecturesContemporary public health challenges that bring together various key actors in the field of public health; S - The role of international organizations for the development and implementation of public health; in practice
IV week exercises
V week lecturesThe importance of developing partnerships and global networks in order to establish a new generation of leaders in public health; S- Health education, as a basic public health strategy
V week exercises
VI week lecturesHealth care aimed at disease prevention and health preservation; S - Identifying vulnerable population groups and their needs;
VI week exercises
VII week lecturesFamily arrangement and promotion of individual and community health; S - Socio-economic aspects of health promotion;
VII week exercises
VIII week lecturesDeterminants (components that condition) behavior. Behavior and health S - Types of behavior that affect health
VIII week exercises
IX week lecturesHealth education in the service of behavioral modifications that lead to health S - Methods of health education
IX week exercises
X week lecturesContemporary health and education strategies S - Presentation of basic health and education strategies
X week exercises
XI week lecturesCampaign preventive activities aimed at health promotion and disease prevention; S - Promotion of breastfeeding and proper nutrition for newborns and infants;
XI week exercises
XII week lecturesHealth promotion measures aimed at preventing cardiovascular diseases; S - Prevention of sexually transmitted infections;
XII week exercises
XIII week lecturesHealth promotion measures aimed at preventing diabetes; S - Prevention of addictive diseases;
XIII week exercises
XIV week lecturesHealth promotion measures aimed at preventing malignant diseases; S - Principles of proper nutrition, physical activity and prevention of obesity;
XIV week exercises
XV week lecturesOrganization of the application of public health measures and activities in practice; S - Ethical principles and directions of public health;
XV week exercises
Student workloadIn the semester Teaching and final exam: (7 hours) x 16 = 112 hours Necessary preparations before the beginning of the semester (administration, registration, certification): (7 hours) x 2 = 15 hours Total workload for the course: 7 x 30 = 210 hours Additional work for exam preparation in the remedial exam period, including taking the remedial final exam: from 0 to 60 hours (remaining time from the first two items to the total workload for the subject 300 hours) Load structure: 112 hours (classes and final exam) + 15 hours (preparation) + 18 hours (supplementary work)
Per weekPer semester
5 credits x 40/30=6 hours and 40 minuts
2 sat(a) theoretical classes
0 sat(a) practical classes
0 excercises
4 hour(s) i 40 minuts
of independent work, including consultations
Classes and final exam:
6 hour(s) i 40 minuts x 16 =106 hour(s) i 40 minuts
Necessary preparation before the beginning of the semester (administration, registration, certification):
6 hour(s) i 40 minuts x 2 =13 hour(s) i 20 minuts
Total workload for the subject:
5 x 30=150 hour(s)
Additional work for exam preparation in the preparing exam period, including taking the remedial exam from 0 to 30 hours (remaining time from the first two items to the total load for the item)
30 hour(s) i 0 minuts
Workload structure: 106 hour(s) i 40 minuts (cources), 13 hour(s) i 20 minuts (preparation), 30 hour(s) i 0 minuts (additional work)
Student obligations They regularly attend classes, prepare and present seminar papers and participate in the implementation of classes
ConsultationsStudents have the possibility of daily consultations with subject teachers
LiteratureDetels R, McEwen J, Beaglehole R, Tanaka H, eds. Oxford Textbook of Public Health, 6th ed., Vol. 1. New York: Oxford University Press 2002. • Merson MH, Black RE, Mills AJ. International Public Health. Diseases, Programs, Systems and Policies. 2nd edition. New York: An Aspen Publication 2003. • Pencheon D, Guest C, Melzer G, Gray M, eds. Oxford handbook of public health practice. Oxford: Oxford University Press 2008. • Tulchinsky TH, Varavikova EA. The New Public Health. New York London: Academic Press 2009. • Centers for Disease Control and Prevention. Public Health Policy. November 9, 2015.www.cdc.gov/stltpublichealth/policy Accessed October12, 2016. • Levi J, Segal LM, Gougelet R, Laurent RS. Investing in Americas Health: A State-by-State Look at Public Health Funding and Key Health Facts. 2015. http://healthyamericans.org/assets/files/TFAH-2015-InvestInAmericaRpt-FINAL.pdf Accessed November14, 2016. • Kaufman NJ, Kindig DA. Public Health vs. Population Health: A Conversation. October 1999.https://uwphi.pophealth.wisc.edu/about/advisory/public-vs-population-health-conversation.pdf Accessed October12, 2016. • Bhattacharya D and Bhatt J. Seven Foundational Principles of Population Health Policy. Popul Health Manag. 2017 Oct 1; 20(5): 383–388. Published online 2017 Oct 1. doi: 10.1089/pop.2016.0148. • Bhattacharya D, Bhatt J. Novel interprofessional collaborations: utilizing medical–legal partnerships to advance population health. In: Bhattacharya D, editor; , Callahan R, editor. , eds. Public health leadership. New York: Taylor and Francis, 2017:41–53 [Google Scholar]
Examination methodsPre-examination point obligations Activity during the lecture 10 Practical teaching 20 Colloquium-i 10 Seminars 10 Attendance continues 10 Exam obligations points Final exam 40 Written exam 10 Oral exam on the 30th
Special remarks
Comment
Grade:FEDCBA
Number of pointsless than 50 pointsgreater than or equal to 50 points and less than 60 pointsgreater than or equal to 60 points and less than 70 pointsgreater than or equal to 70 points and less than 80 pointsgreater than or equal to 80 points and less than 90 pointsgreater than or equal to 90 points

Faculty of Medicine / MEDICINE / ZDRAVSTVENA POLITIKA,MENADŽMENT U ZDRAVSTVU

Course:ZDRAVSTVENA POLITIKA,MENADŽMENT U ZDRAVSTVU/
Course IDCourse statusSemesterECTS creditsLessons (Lessons+Exercises+Laboratory)
11576Obavezan252++0
ProgramsMEDICINE
Prerequisites
Aims To provide knowledge to public health professionals about human rights and patient rights, as well as ethical norms and rights of employees in a health institution. The goal is to familiarize students with the ways of managing health institutions, managing financial, material and human resources, as well as the ways of providing and distributing financial resources within the health system.
Learning outcomes It is expected that after passing the exam in this subject, the student will acquire the necessary theoretical knowledge in the field of health and human rights, as well as the skills necessary to apply this knowledge in practice. Understanding these rights is of great importance for all participants in the healthcare system. Developing positive attitudes and behavior in relation to human rights is the basis of successful work on preserving and improving the health of users. In addition, the expected outcomes and competencies are: knowledge and abilities related to human resources management, recognition of the roles and functions of human resources managers, strategic management of human resources in public health, recognition of the importance of learning and training, as well as management and rewarding according to performance. In addition to a good understanding and ability to apply knowledge, participants will develop skills for research and critical analysis of the role of the modern manager and human resource management system, as well as to analyze in writing the effects of policies and procedures on the performance of healthcare organizations. After completing the course, public health professionals will be able to: (a) understand the key concepts of leadership theory, levels and styles of leadership, and the differences between management and leadership; (b) critically analyze the complexity of leadership and motivation of people; (c) understand their role as public health leaders to improve the quality of public health practice; (d) apply relevant concepts of leadership in their own professional workplace and develop leadership skills (mentoring, understanding oneself and followers, lifelong learning); (e) know the challenges of joint leadership; (f) overcome obstacles and facilitate change. Students will gain knowledge about the importance of planning, the differences between operational and strategic planning, the strategic management model, decision-making methods and the differences between group and team work, process and change management models. Students will know how to define the mission, vision, values ​​and principles of the institution, general and specific goals, respecting the guidelines of the SMART technique. They will learn how to analyze the external and internal environment by applying appropriate methods and techniques (PEST, SWOT analysis, stakeholder analysis and stakeholder mapping) techniques. After the activities carried out in the course, students will be able to analyze and apply the health care financing model, as well as to adopt the principles of economy, efficiency and effectiveness of the health care of the population.
Lecturer / Teaching assistantProf. dr Boban Mugoša, Prof. dr Miodrag Radunović
MethodologySupervised classes consist of lectures and practical sessions (case studies, seminars, discussions and exercises and data processing, group work and preparations for group and individual case presentations) in blended learning - a combination of e-learning and classroom learning. The student is expected to work independently on homework and prepare for each class.
Plan and program of work
Preparing weekPreparation and registration of the semester
I week lecturesManagement in health care, leadership, division, characteristics
I week exercises
II week lecturesHealth policy and organization of health care
II week exercises
III week lecturesLegal framework and health legislation
III week exercises
IV week lecturesEthics in healthcare and patients rights Mission and vision of the healthcare institution
IV week exercises
V week lecturesParticipants are expected to actively participate (read recommended texts, prepare for lectures, seminars and exercises, and do homework)
V week exercises
VI week lecturesOrganization and work of health institutions
VI week exercises
VII week lecturesFinancing of health care, sources of income
VII week exercises
VIII week lecturesHealth technologies, types, importance, introduction of new health technologies into the system
VIII week exercises
IX week lecturesHuman resources, planning and needs, education
IX week exercises
X week lecturesCurrent problems in health systems, crisis management
X week exercises
XI week lecturesPublic health challenges
XI week exercises
XII week lecturesDevelopment of health insurance
XII week exercises
XIII week lecturesMethods and techniques of external and internal environment analysis (PEST, SWOT analysis, stakeholder analysis, stakeholder mapping)
XIII week exercises
XIV week lecturesBasic principles of health economic methods of data collection and analysis
XIV week exercises
XV week lecturesAllocation of financial resources in the public health sector
XV week exercises
Student workloadIn the semester Classes and final exam: (6.66 hours) x 16 = 106.56 hours Necessary preparations before the beginning of the semester (administration, registration, certification): (6.66 hours) x 2 = 13.32 hours Total workload for the course: 5 x 30 = 150 hours Load structure: 106.56 hours (teaching and final exam) + 13.32 hours (preparation) + 30 hours (supplementary work)
Per weekPer semester
5 credits x 40/30=6 hours and 40 minuts
2 sat(a) theoretical classes
0 sat(a) practical classes
0 excercises
4 hour(s) i 40 minuts
of independent work, including consultations
Classes and final exam:
6 hour(s) i 40 minuts x 16 =106 hour(s) i 40 minuts
Necessary preparation before the beginning of the semester (administration, registration, certification):
6 hour(s) i 40 minuts x 2 =13 hour(s) i 20 minuts
Total workload for the subject:
5 x 30=150 hour(s)
Additional work for exam preparation in the preparing exam period, including taking the remedial exam from 0 to 30 hours (remaining time from the first two items to the total load for the item)
30 hour(s) i 0 minuts
Workload structure: 106 hour(s) i 40 minuts (cources), 13 hour(s) i 20 minuts (preparation), 30 hour(s) i 0 minuts (additional work)
Student obligations Students are obliged to attend classes, to work and submit seminar papers
Consultations
Literature1. Armstrong M. A handbook of management techniques. 3rd edition. London: Kogan Page Limited 2001. 2. UN. Universal Declaration of Human Rights (www.un.org/en/documents/udhr/index.shtml) 3. Donnelly J. Universal human rights in theory and practice (2nd ed.). Ithaca: Cornell University Press, 2003. 4. Longest BB, Rakich JS, Darr K. Managing Health Services Organizations and Systems: Strategic Planning and Marketing. 4th edition. Baltimore, Maryland: Health Professional Press 2004. 5. International Health Regulations (“IHR (2005)”) and related World Health Assembly resolution. (www.who.int/gb/ebwha/pdf_files/WHA58/A58_55-en.pdf), 2005. 6. Shortell SM and Kaluzny AD. Health Care Management Organization. Design and Behavior. 5th edition. USA, Tomson Delmar Learnig 2006. 7. Swayne LE, Duncan WJ, Ginter PM, ed. Strategic Management of Health Care Organizations. 5 th edition. Oxford: Blackwell Publishing 2006. 8. Health and Human Rights. A resource guide for the Open Society Institute and Soros Foundations Network. Equitas, June, 2007. 9. Glaser RG, Traznor RM. Strategic Practice Management. A Patient-Centric Approach. United Kingdom: Plural PublishingInc., 2008. 10. Carpenter MA, Sanders WG. Strategic Management: A Dynamic Perspective, Concepts and Cases. 2nd edition. Upper Saddle River, NJ: Pearson Education International 2009. 11. Forsythe, FP. Encyclopedia of Human Rights. New York: Oxford University Press, 2009. 12. Gruskin, S., Bogescho, D., Ferguson, L.“Rught/based approaches“ to health policies and programmes: Articulation, ambiguities, and assessment. Jounal of Public Health Policy, 31(2), 129-45, 2010 13. Proctor T. Creative Problem Solving for Managers: Developing Skills for Decision Making and Innovation, 3rd edition, Routledge, 2010. 14. Proctor T. Creative Problem Solving for Managers: Developing Skills for Decision Making and Innovation, 3rd edition, Routledge, 2010.
Examination methodsClass attendance up to 5 points, homework up to 5 points, presentation of a seminar paper up to 40 points, the final exam is evaluated with a maximum of 50 points; a passing grade is obtained if 50 points and more are cumulatively collected.
Special remarks
Comment
Grade:FEDCBA
Number of pointsless than 50 pointsgreater than or equal to 50 points and less than 60 pointsgreater than or equal to 60 points and less than 70 pointsgreater than or equal to 70 points and less than 80 pointsgreater than or equal to 80 points and less than 90 pointsgreater than or equal to 90 points
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