Elective Course: Methods of Data Visualization and Presentation 1755-F22-ZF04-J

Good data visualization is crucial because it transforms complex data into a clear, accessible format that enables quicker comprehension, better decision-making, and more effective communication. Visualization highlights key trends, patterns, and outliers, making the data more intuitive and actionable for the audience. Effective visualization also enhances storytelling, making the data and information more memorable and persuasive.
The aim of the seminars is to present:
- methods of data visualization,
- common errors in data visualization,
- basic visualization and data mining techniques
- principles of slide design and presentation,
- rules for selecting the appropriate chart.
The seminars will include analysis of sample data using MS Excel or other software.

Term 2024/25L:

Total student workload

1. The workload related to the classes requiring direct participation of academic teachers is: - participation in seminars: 15 hours. The workload related to the classes requiring direct participation of academic teachers is 15 hours, which corresponds to 0.6 ECTS points. 2. Student workload balance: - participation in seminars: 15 hours; - preparation, including reading selected literature: 5 hours; - preparation for classes, including solving tasks: 5 hours. The total workload is 25 hours, which corresponds to 1 ECTS point. 3. Balance of the student's practical workload: Not applicable.

Learning outcomes - knowledge

The student knows and understand: W1: various ways of data visualization - K_F.W1 W2: the rules of creating the good presentation - K_F.W1 W3: how to avoid problems when visualizing different types of data - K_F.W1

Learning outcomes - skills

The student can: U1: properly construct a chart and table K_F.U5 U2: select the appropriate graph for the data K_F.U5 U3: critically evaluate the ways of presenting data K_F.U5 U4: use MS Excel to construct and modify charts K_F.U5

Learning outcomes - social competencies

K1: use objective sources of information – K7 K2: understands the need to use effective methods of presenting research results - K8

Expository teaching methods

- problem-based lecture
- informative (conventional) lecture

Exploratory teaching methods

- practical
- seminar

Type of course

elective course

Prerequisites

Basics of statistics, knowledge of basic functions of Excel

Course coordinators

Bogumiła Kupcewicz

Assessment criteria

Assessment methods:
Completing tasks and quizzes; participating in class discussions,
Judging criteria:
Pass with grade based on the results of tasks/quiz and activity in classes.

Percentage of points Degree
>90% Very good
84-90% Better than good
76-83% Good
68-75% Better than satisfactory
60-67% Satisfactory
<60% Unsatisfactory, fail

Practical placement

Not applicable

Additional information

Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system:

Description of 1755-F22-ZF04-J in USOSweb