Topics vary every semester.
Code:
CS1091
Name:
TOPICS IN COMPUTER SCIENCE
Discipline:
CS (Computer Science)
Type:
CCI
Level:
Undergraduate
Credits:
4
Can be taken twice for credit?:
Yes
Pre-requisites:
None
Co-requisites:
None
Learning Outcomes
- Students will demonstrate knowledge of the ethical, legal, environmental, social and technical challenges related to data collection, storage, analysis and communication.
- Students will demonstrate a good understanding of the processes involved in extracting meaning from data, in order to engage with complex issues from multiple perspectives. This includes showing critical knowledge of the potentials and limitations of data driven inquiry.
- Students will be able to perform simple data manipulations and visualizations using tools such as spreadsheets, geographical information systems and Python code.
Offering(s)
| Term | Code | Name |
|---|---|---|
| Fall 2019 | CS1091FB3 | SOCIAL ROBOTICS |
| Fall 2019 | CS1091FB7 | THE SYMBOLIC MIND |
| Spring 2020 | CS1091 | TOPICS: DATA SCIENCE THINKING: METHODS & CONTEXT |
Archived Syllabi
| Term | PDF File |
|---|---|
Fall 2019 |
