1. Visualization Design (50/100)
In this part, you will find, analyze and visualize a quantitative dataset from Internet, discuss the visualization results, and address some questions. Please provide at least three different visualization types to show the data. You may compare the different visualization results and explain the pro and con according to the visualization principles you learned from the class. The dataset you find from the Internet should not be too simple (>6 cases and >12 Variables). But it is not necessarily over complicated. All the datasets should be reported along with complete original source information (authors, links, owners, years, etc.). For ple: http://www.idvbook.com/teaching-aid/data-sets/

https://www.springboard.com/blog/free-public-data-sets-data-science-project/ https://www.dataquest.io/blog/free-datasets-for-projects/


Your HW package will include (1) the data in a readable format, (2) all the visualization results, comparisons and evaluations, and (3) write-up of the analysis.


Your analysis and discussion may at least address the following questions: 1. What is the task, goal, or question of the data? 2. Data dimensions? Data types? Data format and style? 3. What information do these visualization show? 4. Which visualization type is good/bad in your opinion? 5. What design principles best describe why it is good/bad? 6. Any suggests for improvements?


2. Visualization Critique (20/100)
In this part, you will provide a visualization critique on the “Zoom into the Human Bloodstream”. Every year the National Science Foundation (NSF) holds a Science and Engineering Visualization Challenge. The First Place of Information Graphics category in 2008 is a visualization work–“Zoom into the Human Bloodstream”. The details of this visualization is available at

http://www.nsf.gov/news/special_reports/scivis/winners_2008.jsp
You may want to find the original high resolution image by searching “Zoom into the Human Bloodstream” in Google image search (the first retrieval result with 740×2960–492k label).


Please answer the following questions in your critique. 1. Who is the intended audience? 2. What design principles does the visualization utilize? 3. Do you like or dislike this visualization? Why? 4. What can you imagine from the visualization? 5. What do you think about the color used in the work?

6. Can you suggest any improvements?


3. 2D Convolution (20/100)
In this part, you will compute a 2D convolution of a pre-defined filter with 2D data. The boundary conditions are handled by bleeding the values when a convolution kernel falls outside of the data table, shown as the following figure.

image.png


Fill out the following result matrix by considering the above boundary solution. Some results are already given for your double check. You will compute the results for A, B, C, and D respectively. Please provide detailed calculations. Only showing the final answers without details will not get the full score.




image.png

Filter Data Result


Hint: there maybe error numbers in above results by purpose.


4. Comments and Suggestions on the Course (10/100)

In this part, you will provide your comments and suggestions on this course. For ple, what kinds of topics out of our syllabus you might be also interested in? What kinds of skills you want to learn from this course? What are some ways we should consider to improve the training programs associated with this course? How do you think the  could be improved? How can this course help your major study in your field?