Academy of Technical and
Art Applied Studies Belgrade

Statistics Course code: T13043M | 7 ECTS credits

Basic information
Level of Studies: Undergraduate applied studies
Year of Study: 3
Semester: 5
Requirements:
Goal: The adoption of new techniques of data analysis. Combining statistical analysis techniques and methods of discovering new information from databases.
Outcome: After finishing the course, students should be able to identify the types of data and samples, realize the importance of data analysis in the application of modern business, adopt methods for data analysis, data structure analysis and database model building and draw conclusions based on graphical analysis and data visualization.
Contents of the course
Theoretical instruction:
  1. Multidimensional data analysis.
  2. Visualization of complex data and contents of complex databases.
  3. Algorithms for data visualization. The concept of knowledge discovery in databases. Evaluation of discovered knowledge.
  4. The role of statistics in the process of discovering knowledge in databases.
  5. Knowledge discovery in statistical databases.
  6. Computer support for statistical surveys.
  7. Solving specific problems from practice.
Practical instruction (Problem solving sessions/Lab work/Practical training):
  1. Study research work
  2. Analysis of the realized traffic for a certain service - Excel, SPSS
  3. Students create / analyze graphic representations and PP presentations
  4. Graphic analysis and data visualizations.
  5. Visualization of complex data.
  6. Methods and techniques of knowledge discovery in databases.
  7. Evaluation of discovered knowledge.
Textbooks and References
  1. J. Soldić Aleksić, Primenjena analiza podataka, Ekonomski fakultet, Beograd, 2015.
  2. N.Vuković, Statističko zaključivanje, Fakultet organizacionih nauka, Beograd
  3. Z. Kovačić, Analiza vremenskih serija, Ekonomski fakultet, Beograd, 1995.
  4. Z. Kovačić, Multivarijaciona analiza, Ekonomski fakultet, Beograd, 1994.
  5. Lohninger H., Teach/Me Data Analysis, Springer, 1999.
Number of active classes (weekly)
Lectures: 4
Practical classes: 3
Other types of classes: 0
Grading (maximum number of points: 100)
Pre-exam obligations
Points
activities during lectures
5
activities on practial excersises
0
seminary work
15
colloquium
30
Final exam
Points
Written exam
50
Oral exam
0