1-DAV-202 Data Management 2023/24
Previously 2-INF-185 Data Source Integration

Materials · Introduction · Rules · Contact
· Grades from marked homeworks are on the server in file /grades/userid.txt
· Dates of project submission and oral exams:
Early: submit project May 24 9:00am, oral exams May 27 1:00pm (limit 5 students).
Otherwise submit project June 11, 9:00am, oral exams June 18 and 21 (estimated 9:00am-1:00pm, schedule will be published before exam).
Sign up for one the exam days in AIS before June 11.
Remedial exams will take place in the last week of the exam period. Beware, there will not be much time to prepare a better project. Projects should be submitted as homeworks to /submit/project.
· Cloud homework is due on May 20 9:00am.


Difference between revisions of "Materials"

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Na tejto stránke postupne pribudne zoznam prednášok, poznámky a zadania domácich úloh.
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Here is a preliminary plan of lectures for this year (the topics and their order may change):
  
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* 2016-02-24 (BB): Perl, part 1 (basics, input processing): [[L1|Lecture 1]], [[HW01|Homework 1]]
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* '''2024-02-22'''
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* 2016-03-02 (TV): Perl, part 2 (external commands, files, subroutines): [[L2|Lecture 2]], [[HW02|Homework 2]]
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** ALL (BB): Introduction to the course · <!--[https://goo.gl/forms/aKdhAAUZIGD80PrQ2 Survey],--> [[Contact]], [[Introduction]], [[Rules]], [[Connecting to server]], [[Editors]], [[Command-line basics]]
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* 2016-03-09 (BB): Command-line tools, Perl one-liners: [[L3|Lecture 3]], [[HW03|Homework 3]]
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** ALL (BB): Introduction to Perl · [[Lperl|Lecture]], [[HWperl|Homework]]
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* 2016-03-16 (BB): Job scheduling and make [[L4|Lecture 4]], [[HW04|Homework 4]]
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* '''2024-02-29'''
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* 2016-03-23 (VB): Python, crawlovanie webu a parsovanie HTML, sqlite3 [[L5|Lecture 5]], [[HW05|Homework 5]]
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** ALL (BB): Command-line tools, Perl one-liners · [[Lbash|Lecture]], [[HWbash|Homework]]
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* 2016-03-30 (VB): Spracovanie textovych dat, flask [[L6|Lecture 6]], [[HW06|Homework 6]]
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* '''2024-03-07'''
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* 2016-04-06 (VB): Vizualizacia dat pomocou javascriptu [[L7|Lecture 7]], [[HW07|Homework 7]]
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** ALL (TV): Job scheduling and make · [[Lmake|Lecture]], [[HWmake|Homework]]
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* 2016-04-13 (BB): R, part 1 [[L8|Lecture 8]], [[HW08|Homework 8]]
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* '''2024-03-14'''
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* 2016-04-20: nebude (študentská vedecká konferencia)
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** ALL (TV): SQL (and Python) for beginners · [[Project]], [[Lsql|Lecture]], [[Python]], [[HWsql|Homework]]  
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* 2016-04-27 (BB): R, part 2
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* '''2024-03-21'''
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* 2016-05-04 (Leszek Pryszcz): Biopython, biological databases
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**  INF/DAV (VB): Python, web crawling, HTML parsing, sqlite3 · [[Lweb|Lecture]], [[HWweb|Homework]], [[Screen]]
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* 2016-05-11 (TV): More databases, scripting language of your choice
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** BIN (TV): Bioinformatics 1 (sequencing and genome assembly) · [[Lbioinf1|Lecture]], [[HWbioinf1|Homework]]
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* 2016-05-18
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* 2024-03-28 Easter
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* '''2024-04-04'''
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** INF/DAV (VB): Text data processing, flask · [[Lflask|Lecture]], [[HWflask|Homework]]
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** BIN (TV): Bioinformatics 2 (gene finding, RNA-seq) · [[Lbioinf2|Lecture]], [[HWbioinf2|Homework]]  
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* '''2024-04-11'''
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** INF/DAV (BB): Data visualization in JavaScript · [[Ljavascript|Lecture]], [[HWjavascript|Homework]]
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** BIN (TV): Bioinformatics 3 (genome variants) · [[Lbioinf3|Lecture]], [[HWbioinf3|Homework]]
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** [[Project#Project_proposal|Project proposals]] due Friday April 12
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* 2024-04-18 Student Research Conference
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* 2024-04-25 No lecture
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* '''2024-05-02'''
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** ALL (BB): Python + C++ · [[Lcpp|Lecture]], [[HWcpp|Homework]]
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* '''2024-05-09'''
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** ALL (VB): Cloud computing · [[Lcloud|Lecture]], [[HWcloud|Homework]]
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* 2024-05-16 No lecture
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Optional materials:
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* If you are interested in R language, you can look at these lectures and homeworks. Files for the tasks are available on the server. However do not submit these homeworks.
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** [[Lr1]], [[HWr1]] tutorial to R and basic plotting
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** [[Lr2]], [[HWr2]] statistical tests in R

Latest revision as of 04:40, 21 July 2024

Here is a preliminary plan of lectures for this year (the topics and their order may change):


Optional materials:

  • If you are interested in R language, you can look at these lectures and homeworks. Files for the tasks are available on the server. However do not submit these homeworks.
    • Lr1, HWr1 tutorial to R and basic plotting
    • Lr2, HWr2 statistical tests in R
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