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--- undergrads:project4900 [2018/11/28 01:37] – mwirth
+++ undergrads:project4900 [2018/11/28 01:38] (current) – mwirth
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 ^ TOPIC ^ Semester ^ Faculty ^
 | **Web and mobile development of the eNuk application for data collection in the remote Inuit community of Rigolet.** This is part of a broader program, with a team of students from Comp Science and Population Medicine involved. | F17,W18 | Dan Gillis |
-| **Data mining of a large dataset that will be made available by a local company.** The project would be a collaborative effort between students in comp science, math, and stats (and possibly engineering). Each student would apply various methods to understand patterns in the data. | F17,W18 | Dan Gillis |
+| **Other projects** https://danielgillis.wordpress.com/positions-available/ | F17,W18 | Dan Gillis |
-| ** The allure of aesthetic distortions in social photography.** These affects such as vignetting, chromatic aberration, and the modification of the colour space all add to the aesthetic appeal of the photographs. But why? This project will explore the world of filters in social photography applications, and why people use them. | W19 | Michael Wirth |
+| ** The allure of aesthetic distortions in social photography.** These affects such as vignetting, chromatic aberration, and the modification of the colour space all add to the aesthetic appeal of the photographs. But why? This project will explore the world of filters in social photography applications, and why people use them. | F19 | Michael Wirth |
-| ** The cognitive load of programming languages.** TAKEN - Not all languages are created equal. Some are better learned when the individual has a better understanding of the varied principles of computer science. But which ones? This project will explore the cognitive load of a number of different languages, specifically from the perspective of learning programming, i.e. the novice. | F18 | Michael Wirth, Judi McCuaig |
 | ** Design of relative position descriptors and modeling of spatial relationships between regions in 2-D and 3-D images. ** These descriptors and relationships are being investigated in many disciplines (e.g., artificial intelligence, cognitive science, linguistics, geography) and find applications in various domains (e.g., human-robot communication, geographic information systems, medical imaging, scene description).| F18 | Pascal Matsakis |