Review the collective agreement
NOTE: Course offerings are subject to budgetary approval
Posting Reference: CS 2704 SJ01G
| Course Prefix: | CS | Course Number: | 2704 |
| Course Section: | SJ01G | Course Name: | Data Analytics Using Python |
| Term: | Summer | Campus: | Saint John |
| Faculty: | Science, Applied Science and Engineering, Faculty of | Department: | Computer Science and Applied Statistics, Department of |
| Position Start Date: | 2021-05-05 | Position End Date: | 2021-07-30 |
| Posting Date: | 2021-01-22 | Application Deadline: | 2021-02-04 |
| Applications to be submitted via: | dcs@unb.ca | ||
| Requested By: | vkindred@unb.ca |
| Days: | Mon-Wed | Time: | 4:30-6:50PM |
| Number of Positions Available: | 1 | Total Credit Hours: | 4ch |
| Mode of Delivery: | Online | Location: | Off Campus |
| Stipend Amount: | $6562 |
This course aims to provide students with the capability of data-driven problem-solving. Starting from installing a Python programming environment, students will learn reading data, drawing graphs, hypothesis testing, and Bayesian statistics with hands-on programming experience. This course also aims to be an effective stepping-stone to study more advanced subjects such as machine learning and AI. No prior programming experience is required.
Pre-requisites: Introduction to Statistics I (STAT 1793) or equivalent and one of STAT 2263, STAT 2593, BA 1605, or PSYC 2901.
This course aims to provide students with the capability of data-driven problem-solving. Starting from installing a Python programming environment, students will learn reading data, drawing graphs, hypothesis testing, and Bayesian statistics with hands-on programming experience. This course also aims to be an effective stepping-stone to study more advanced subjects such as machine learning and AI. No prior programming experience is required.
The following teaching assignment is available subject to final budgetary approval. It is available firstly to members of the bargaining unit.
The successful applicant will possess, at minimum, a Masters degree in CS. Requests will be considered on the basis of qualifications, experience required and the availability of the employee to perform the required duties at scheduled times.
CS 2074 / DA 2074 Data Analytics Using Python
*Required minimum enrolment of 15 students