AIG140 - Advanced Data Visualization

Outline information
Semester
Schools offering this subject
Last revision date 2024-03-06 15:39:37.766
Last review date 2024-03-06 15:54:18.858

Subject Title
Advanced Data Visualization

Subject Description
This course introduces advanced tools and techniques for analyzing, visualizing, and communicating data. Students will explore the fundamental principles and strategies to produce graphs that support the analysis of data and demonstrate patterns, trends, errors and discrepancies. Students will also learn how to combine high velocity data streams for dashboard design. Students will learn and practice document coding, writing reports, conducting data exploration and rationalizing its usage, explaining network architecture, discussing results and defining metrics.

Credit Status
1 Credit

Learning Outcomes
Upon successful completion of this subject the student will be able to:

  1. Utilize graphical methods to visualize data, analyze fitted models, and effectively communicate results and conclusions in AI applications.
  2. Determine appropriate graphical methods to represent the behavior of explanatory variables in AI models and applications.
  3. Evaluate diagnostic and influence plots to assess the suitability of data for a given distribution model in AI applications.
  4. Generate two-dimensional graphical representations of contingency tables to identify patterns of association in AI applications.
  5. Employ smoothing techniques to fit data into a logistic regression model and develop accurate AI models.
  6. Develop animated graphics to visualize and communicate complex AI concepts and models effectively.
  7. Optimize statistical and visual components of graphical displays to improve the accuracy and clarity of AI analyses and graphs.
  8. Utilize bar graphs, lines, and plots to effectively visualize and communicate data and time-series data in AI applications.
  9. Analyze potential correlations between datasets using graphical methods to identify meaningful relationships and inform AI modeling and decision-making processes.

Academic Integrity
Seneca upholds a learning community that values academic integrity, honesty, fairness, trust, respect, responsibility and courage. These values enhance Seneca's commitment to deliver high-quality education and teaching excellence, while supporting a positive learning environment. Ensure that you are aware of Seneca's Academic Integrity Policy which can be found at: http://www.senecapolytechnic.ca/about/policies/academic-integrity-policy.html Review section 2 of the policy for details regarding approaches to supporting integrity. Section 2.3 and Appendix B of the policy describe various sanctions that can be applied, if there is suspected academic misconduct (e.g., contract cheating, cheating, falsification, impersonation or plagiarism).

Please visit the Academic Integrity website http://open2.senecac.on.ca/sites/academic-integrity/for-students to understand and learn more about how to prepare and submit work so that it supports academic integrity, and to avoid academic misconduct.

Discrimination/Harassment
All students and employees have the right to study and work in an environment that is free from discrimination and/or harassment. Language or activities that defeat this objective violate the College Policy on Discrimination/Harassment and shall not be tolerated. Information and assistance are available from the Student Conduct Office at student.conduct@senecapolytechnic.ca.

Accommodation for Students with Disabilities
The College will provide reasonable accommodation to students with disabilities in order to promote academic success. If you require accommodation, contact the Counselling and Accessibility Services Office at ext. 22900 to initiate the process for documenting, assessing and implementing your individual accommodation needs.

Camera Use and Recordings - Synchronous (Live) Classes
Synchronous (live) classes may be delivered in person, in a Flexible Learning space, or online through a Seneca web conferencing platform such as MS Teams or Zoom. Flexible Learning spaces are equipped with cameras, microphones, monitors and speakers that capture and stream instructor and student interactions, providing an in-person experience for students choosing to study online.

Students joining a live class online may be required to have a working camera in order to participate, or for certain activities (e.g. group work, assessments), and high-speed broadband access (e.g. Cable, DSL) is highly recommended. In the event students encounter circumstances that impact their ability to join the platform with their camera on, they should reach out to the professor to discuss. Live classes may be recorded and made available to students to support access to course content and promote student learning and success.

By attending live classes, students are consenting to the collection and use of their personal information for the purposes of administering the class and associated coursework. To learn more about Seneca's privacy practices, visit Privacy Notice.