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HU Credits:
2
Degree/Cycle:
1st degree (Bachelor)
Responsible Department:
Computer Sciences
Semester:
2nd Semester
Teaching Languages:
Hebrew
Campus:
Mt. Scopus
Course/Module Coordinator:
Prof Dror Feitelson
Coordinator Office Hours:
By email
Teaching Staff:
Prof Dror Feitelson
Course/Module description:
Understanding and utilizing numerical data is important in all walks of life. A central tool in this context is drawing graphs that present the data. This course will teach you the principles and techniques for doing this effectively.
Course/Module aims:
To introduce students to the world of statistical graphics, and develop skills for understanding and presenting data using graphs
Learning outcomes - On successful completion of this module, students should be able to:
1. Explain why graphs are needed when discussing numerical data
2. Understand the information presented in different types of graphs
3. Design high-quality simple graphs
4. Criticize graphs published in the media
Attendance requirements(%):
93%
Teaching arrangement and method of instruction:
Lectures, exercises, and individual work
Course/Module Content:
1. Importance and history of graphical representation of data
2. Exploratory graphs and exhibitory graphs
3. Basic rules for clear and reliable graphs
4. Data normalization and logarithmic scale
5. Graph types for different needs
6. Elaborate graphs and advanced methods
7. Statistical graphics vs. infographics
8. Misleading graphs
Required Reading:
None
Additional Reading Material:
See course web site
Grading Scheme :
Written / Oral / Practical Exam 70 %
Submission assignments during the semester: Exercises / Essays / Audits / Reports / Forum / Simulation / others 30 %
Additional information:
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