Evening/Weekends Evenings & Weekends
A convenient and flexible way to try out NAIT credit courses without having to enrol in a specific program. A variety of delivery options (day, evening, online) let you study at your own pace to meet your own educational goals.
A self paced course where the individual learner interacts with a computer to acquire knowledge and skills.
A self paced course offered primarily through print media. Communication with a tutor or instructor can be by phone, email, regular mail, or other means.
A course in which student(s) conduct collaborative applied research with a sponsor. The research takes place at sponsor's location and/or NAIT, and is normally completed within a six month timeframe.
An interactive online course, taught by an instructor, where the learner accesses total instructional time via the internet.
Face to Face
(In Person) A course with learning events in classroom or lab or by other electronic means guided by a facilitator using educational technologies such as video conference, web conference, or teleconference.
A course which is generally 6 weeks and longer in duration and requires a medium to high level of involvement from NAIT staff namely: Credit Work Experience, which applies only to the Applied Degree setting, Clinical Placement and Field Placement, both of which occur in the Certificate and Diploma program settings.
The course name for all short-term program based work experience of less than 240 hours.
Discover Quantum GIS (QGIS) as a free and open source software alternative to traditional GIS platforms. QGIS is a user friendly Open Source Geographic Information System licensed under GNU General Public License. It is a great GIS tool for data management, image processing, map production, spatial modeling and it supports vast number of vector, raster and database formats and functionalities. QGIS provides large number of geospatial tools either through its core functions or through continuously growing repository of freely available plugins.
Class exercises will help you understand how to set up project, how to load, query, process and analyze vector and raster data. You will learn how to use plugins for Point Cloud and LiDAR datasets, how to georeference raster file, how to digitize and create vector file, how to run basic classification of Remote Sensing datasets, how to analyze accuracy of geospatial data and how to create maps and reports based on your geospatial datasets.