Communication and information techniques
General data
Course ID: | 1900-3-TKI-GSW |
Erasmus code / ISCED: |
15.0
|
Course title: | Communication and information techniques |
Name in Polish: | Techniki komunikacyjne i informacyjne |
Organizational unit: | Faculty of Geography and Regional Studies |
Course groups: |
(in Polish) Przedmioty obowiązkowe, dzienne studia II stopnia (Geografia świata) - sem. 3 |
ECTS credit allocation (and other scores): |
2.00
|
Language: | Polish |
Main fields of studies for MISMaP: | geography |
Type of course: | obligatory courses |
Prerequisites: | Fieldwork Methods and Techniques 1900-3-MBT-GL |
Prerequisites (description): | Student knows the elementary functions of selected statistical software (e.g. SPSS) and gis software (e.g. ArcGIS, QGiS), as well as the basics of cartography and geoinformatics (elements of a statistical map, cartographic mapping, quantitative generalization and quality of map content, types of base maps, elements spatial analysis, cartographic data presentation methods). It can also manage GIS data and prepare it for mapping. She is also ready to expand the knowledge and skills of cartographic and geoinformatics needed for research in the field of world geography. |
Mode: | Classroom |
Short description: |
The aim of the course is to develop knowledge and, above all, skills in the field of modern information and communication technologies, which are used in the study of world geography and can, be used by students in the preparation of their master's thesis - not only for data visualization, but also for spatial analyzes and statistics to verify research hypotheses and help achieve the goals of scientific work. |
Full description: |
Classes take the form of a seminar in the computer room. During the first class, the tutor recalls the principles of functioning of gis software (ArcGIS) and the basics of cartography and geoinformatics, which will be important for later classes. Moreover, it discusses the main spatial databases in the world. At subsequent meetings, students perform exercises on data visualization, spatial analysis and statistics (e.g. spatial autocorrelation). They will also learn about the measures of spatial distribution of phenomena (center of gravity, ellipse of standard deviations, etc.). Before carrying out the exercise, the tutor makes a theoretical introduction to it and explains the most important assumptions of the work. Classes have an increasing degree of difficulty and are based on the increasing independence of students. At the beginning, they carry out tasks with detailed "step by step" instructions. Later, the description of tasks becomes more and more laconic until it is finally limited to giving the overall effect of the work. The subject matter of the works is varied - natural, social and economic issues are discussed - most often it is problematic. Exercises are carried out in pairs, each of them is usually divided into 2 classes. The total number of works performed varies depending on the average computer skills of the students (most often there are 5 or 6). At the end of each class, the practice pairs send the result maps and / or analysis notes and / or screenshots of the programs used to the teacher's e-mail address. If necessary, the work can be completed at home. The estimated number of hours that the student must spend to achieve the learning outcomes defined for the subject. 1 ECTS (30 hours) - hours in direct contact with the teacher, i.e. listening to lectures, exercises carried out during classes in pairs; 1 ECTS (30 hours) - student's own contribution, i.e. 15 hours preparation for the final text and 15 hours completing exercises started in class. |
Bibliography: |
1. Medyńska-Gulij B., 2011, Kartografia i geowizualizacja, Wydawnictwo Naukowe PWN, Warszawa. 2. Pieniążek M., Zych M., 2017, Mapy statystyczne. opracowanie i prezentacja danych, Główny Urząd Statystyczny, Warszawa. 3. Suchecka J., 2014, Statystyka przestrzenna. Metody analizy struktur przestrzennych, Wydawnictwo C.H. Beck. 4. Żyszkowska W., Spallek W., Borowicz D., 2012, Kartografia tematyczna, Wydawnictwo Naukowe PWN, Warszawa. |
Learning outcomes: |
Directional effects: K_W08, K_W12, K_W14, K_U01, K_U07, K_U09, K_K04, K_K08 Specialization effects: S2_W06, S2_W12, S2_W14, S2_U01, S2_U07, S2_U09, S2_K04, S2_K08 KNOWLEDGE: The graduate understands and knows: - domestic and foreign spatial databases; - the process of creating thematic maps with the use of GIS in the study of world geography; - rules for conducting spatial analyzes and statistics. SKILLS: The graduate is able to: - use the available spatial databases (domestic and foreign), and, if necessary, collect the necessary data for the study of world geography; - process spatial data; - select and apply an appropriate method of spatial analyzes and statistics needed to achieve the indicated research goals; - design thematic maps and use them to communicate the results of their own research (field and chamber). SOCIAL COMPETENCES: The graduate is ready to: - independent and group analytical and synthetic work with the use of modern geoinformatics and communication techniques in the study of world geography. |
Assessment methods and assessment criteria: |
Two unexcused absences are possible (in the case of more absences, exemptions are required). The final grade is issued on the basis of several exercises carried out only during the classes (80%) and a final test (20%). The student passes the classes with 50% of points and more. |
Classes in period "Winter semester 2023/24" (past)
Time span: | 2023-10-01 - 2024-01-28 |
Navigate to timetable
MO TU W KON
TH FR |
Type of class: |
Seminar, 30 hours
|
|
Coordinators: | Maciej Kałaska | |
Group instructors: | Maciej Kałaska | |
Students list: | (inaccessible to you) | |
Examination: |
Course -
Grading
Seminar - Grading |
Classes in period "Winter semester 2024/25" (future)
Time span: | 2024-10-01 - 2025-01-26 |
Navigate to timetable
MO TU W KON
TH FR |
Type of class: |
Seminar, 30 hours
|
|
Coordinators: | Maciej Kałaska | |
Group instructors: | Maciej Kałaska | |
Students list: | (inaccessible to you) | |
Examination: |
Course -
Grading
Seminar - Grading |
Copyright by University of Warsaw.