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        Lecturer(s)
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                    Šebela Marek, prof. Mgr. Dr.
                
 
            
         
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        Course content
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        Algorithmic and programmatic solution of the chosen issue within the diploma thesis, data processing from biological and (bio)chemical research. Presentation of results in the form of a lecture or seminar paper.
         
         
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        Learning activities and teaching methods
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        Dialogic Lecture (Discussion, Dialog, Brainstorming), Work with Text (with Book, Textbook), Laboratory Work
        
            
                    
                
                    
                    - Attendace
                        - 195 hours per semester
                    
 
                
                    
                    - Homework for Teaching
                        - 160 hours per semester
                    
 
                
             
        
        
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                Learning outcomes
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                Continuation of  the experimental work on the selected topic.
                 
                Recognise and formulate the problem  of a chosen or given topic from the field of  bioinformatics.
                 
                
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                Prerequisites
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                For students of the 2nd year of the Bioinformatics follow-up study program.
                
                
                    
                        
                    
                    
                
                
  
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                Assessment methods and criteria
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                        Student performance, Systematic Observation of Student, Final Report
                        
                        
                         
                        
                    
                    
                
                 The student is required to submit a progress report on thesis work (2 pages A4), certified by his/her advisor, or give a lecture concerning progress of experimental work and subject of his/her diploma thesis.
                 
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        Recommended literature
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                    Literatura dle doporučení školitele. 
                
 
            
         
         
         
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