AIG150 - Data Preparation and Governance

Outline information
Semester
Schools offering this subject
Last revision date 2024-03-06 15:40:19.914
Last review date 2024-03-06 15:54:27.408

Subject Title
Data Preparation and Governance

Subject Description
The course would cover the basics of data preparation, including cleaning, transformation, and integration techniques, but with an emphasis on how these techniques differ for use in AI models. The course would also cover the different types of data commonly used in AI, such as structured, unstructured, and semi-structured data, and how to prepare each type for use in AI applications.
In addition, the course would cover the governance of data in AI, including privacy laws, ethical considerations, and responsible AI practices. Students would learn about the importance of transparency, accountability, and explainability in AI models and how to ensure these qualities in the data preparation and governance process.

Credit Status
1 Credit

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

  1. Adhere to data preparation and governance policies to develop proper AI models.
  2. Apply cleaning, transformation, and integration for AI data, including pre-processing techniques such as normalization, feature scaling, and feature extraction to prepare data for processing.
  3. Evaluate large datasets to find data quality, accuracy, completeness, consistency, and timeliness for AI applications.
  4. Obtain data from various sources and in different formats by applying data wrangling techniques.
  5. Provide a comprehensive overview of privacy laws, ethical considerations, and responsible AI practices when obtaining data.
  6. Demonstrate proficiency in the governance frameworks and policies specific to AI, including model governance, bias mitigation, and explainability.
  7. Evaluate the impact of social responsibility and ethics on data policies, procedures, principles, and practices.

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.