Facts about the course

ECTS Credits:
7.5
Responsible department:
Faculty of Logistics
Course Leader:
Yauhen Maisiuk
Lecture Semester:
Spring
Teaching language:
English
Duration:
½ year

IDA730 Visual Analytics in Operations Management (Spring 2021)

About the course

Visual Analytics is the science of analytical reasoning supported by interactive visual interfaces. The overall goal is to detect the expected and discover the unexpected.

Today, data is produced at an incredible rate and the ability to collect and store the data is increasing at a faster rate than the ability to analyze it. Over the last decades, a large number of automatic data analysis methods have been developed. However, the complex nature of many problems makes it indispensable to include human intelligence at an early stage in the data analysis process.

Visual Analytics can be seen as an integral approach combining visualization, human factors, and data analysis. Visual Analytics methods allow decision-makers to combine their human flexibility, creativity, and background knowledge with the enormous storage and processing capacities of today’s computers to gain insight into complex problems. Using advanced visual interfaces, humans may directly interact with the data analysis capabilities of today’s computer, allowing them to make well-informed decisions in complex situations.

The course is connected to the following study programs

The student's learning outcomes after completing the course

  • Theoretical understanding of the visual display of quantitative information
  • Analytical reasoning on the use of visual display of quantitative information
  • Practical knowledge on how to solve real-case challenges using visual analytics

Forms of teaching and learning

This course is focusing on the practical use of different applications to visualize quantitative information. This course combines lectures with practical training. All students need their own laptop to complete the course.

Examination

  • Form of assessment: Home assessment
  • Proportion: 30%%
  • Duration: Semesters
  • Grouping: Individual
  • Grading scale: Letter (A - F)
  • Support material: All printed and written supporting material
  • Form of assessment: Home assessment
  • Proportion: 70%%
  • Duration: Semesters
  • Grouping: Individual
  • Grading scale: Letter (A - F)
  • Support material: All printed and written supporting material

Syllabus

Main book: The Visual Display of Quantitative Information, Second Editon. Edvard R. Tufte

In addition, more reading will be announced during the semester

 

Last updated from FS (Common Student System) Nov. 29, 2020 6:20:41 AM