CSC 314: Introduction to Cloud Based Data Science and Machine Learning : 3 hours

Description

A study of the resources available to do data science and machine learning in the cloud. Includes an overview of the different aspects of data science and machine learning. Pre-requisite: CSC 221 and CSC 210. CSC 312 is recommended

Goals for CSC 314 are:

• Enable students to create systems that use cloud based resources to do data science and machine learning
• Equip students to understand the ethics associated with data science and machine learning and to make quality decisions about them.

Course outcomes for CSC 314 are:

• Upon completion of CSC 314, students will:
  • have created two projects in the cloud of their choosing: one with data science and one with machine learning
  • understand the fundamentals of data science and machine learning and the ethical issues associated with each.

Program outcomes for CSC 314 are:

1. Analyze a complex computing problem and to apply principles of computing and other relevant disciplines to identify solutions. (Computing student learning outcome 1)
2. Design, implement, and evaluate a computing-based solution to meet a given set of computing requirements in the context of the program\x92s discipline. (Computing student learning outcome 2)
3. Communicate effectively in a variety of professional contexts. (Computing student learning outcome 3)
4. Recognize professional responsibilities and make informed judgments in computing practice based on legal, ethical, and moral principles. (Computing student learning outcome 4)
5. Function effectively as a member or leader of a team engaged in activities appropriate to the program\x92s discipline. (Computing student learning outcome 5)
6. Learn new areas of technology. (Computing student learning outcome 6)
7. Use technology to help bring Christ to the world and apply Christian principles to their work. (Computing student learning outcome 7)
8. Understand and use appropriate cloud technologies in specified areas (Computing student learning outcome 8)
9. Apply computer science theory and software development fundamentals to produce computing-based solutions. (Computer Science student learning outcome 1)
10. Support the delivery, use, and management of information systems within an information systems environment. (Computing and Information Systems student learning outcome 1)
11. Apply security principles and practices to maintain operations in the presence of risks and threats. (Cyber Security student learning outcome 1)

Integration

1. Self learning by using existing online lessons to learn the details about a specific AI or data science tool found in the cloud and using it to develop a proof of concept program.
2. Note taking by using notes taken from online lessons to produce reports while disconnected from the lessons
3. Technical writing and presentations by creating reports and presenting work to the class
4. Professional by doing assigned learning tasks in a timely manner
5. Ethics by writing a report about the ethical components of associated with one or more aspects of AI and data science in cloud computing