CS5631 Data Visualization
Course Information Page
Fall 2020

Course Instructor Dr. C.-K. Shene
Office 305 Rekhi CS Hall
Class Meeting Monday, Wednesday and Friday, 14:05 - 14:55, Rekhi G009
Office Hour Monday and Wednesday, 15:05 - 15:55, Rekhi 305 or by appointment
Phone (906) 487-3392
e-mail shene@mtu.edu


Click here to see the most recent announcements (October 29, 2020)

Textbook

Textbook is not required because all class notes and papers are available in /classes/cs5631.ck/common/. Or, you may also find these slides via this link. There will be required reading reserved in the Library.

Other Materials

To be announced in class and in the common directory or here

Meeting Time and Office Hours


Monday Tuesday Wednesday Thursday Friday
13:05 - 13:55
Dept. Meeting
TPR Meeting
14:05-14:55 CS5631
Rekhi G009

CS5631
Rekhi G009

CS5631
Rekhi G009
15:05-15:55 Office Hour
Rekhi 305


Office Hour
Rekhi 305


Department
Seminar
16:05-17:20 CS3331
M&M U115

CS3331
M&M U115


After class and e-mail discussions are welcome
M&M U115: Minerals & Materials Engineering Building U115

Course Syllabus

The actual order to be used in class may not be exactly the same.

Course Objectives and Learning Outcomes

  1. Know the basics of data visualization
  2. Understand the importance of data visualization and the design and use of many visual components
  3. Learn to wisely use various visualization structures such as tables, spatial data, time-varying data, tree and network, etc.
  4. Learn the basics of colors, views, and other popular and important visualization-based issues.
  5. Learn basic algorithms in data visualization

Exercises, Term Project and Exams

There will a number of exercises, each of which requires a classroom presentation of about 10-15 minutes. There will be one term project which will include some programming task, paper reading, and presentation. The topic is chosen by each of you based on your own interest. There will be a take-home 24-hour final, but no midterm.

Grading

The following are weights assigned to homework, exams and term project. The term project will be evaluated based on (1) your presentation, (2) your term paper, and (3) your implementation.

Exercises Final Exam Term Project
20% 30% 50%

Late Policy

No late programming assignments will be graded, except that you have a valid excuse.

Collaboration and Cheating

No assignment-specific assistance should be given nor received on any assignment. Any outside help concerning the use of the computer facilities is acceptable. You may discuss the meaning or intent of an assignment, but not ways to doing it. All work turned in must be completely your own. You must not share code or even outlines! Any and all use of programs from other texts or references must be explicitly stated as part of your documentation. In general, any acts of plagiarism will result in a failing grade for the course along with the submission of a report to the Dean of Students. See the hand-out on Computer Science Policy on Cheating and Academic Integrity Resource Center for more details.

Exams and Final

We (possibly) will have a take home 24-hour final exam. Time and form will be determined at the end of class.

ADA

``MTU complies with all federal and state laws and regulations regarding discrimination, including the Americans with Disability Act of 1990 (ADA). If you have a disability and need a reasonable accommodation for equal access to education or services at MTU, please call Dr. Gloria Melton, Associate Dean of Students, (2212). For other concerns about discrimination, you may contact your advisor, department head, or the Affirmative Action Office (3310).''

Downloadable Stuffs

Files are in HTML or PDF format.

Exercise Information
Exercise I
Exercise II

Reading Lists
Week 1 Week 2 Week 3 Week 4 Week 5 Week 6 Week 7
Week 8 Week 9 Week 10 Week 11 Week 12 Week 13 Week 14


You are visitor since January 21, 2017.
Last update: August 27, 2020


Please send comments and suggestions to shene@mtu.edu