Program Requirements
The Minor GIS & Remote Sensing program provides B.Sc. students with the fundamentals of geospatial tools and technologies.
Required Course (6 credits)
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GEOG 201 Introductory Geo-Information Science (3 credits)
Overview
Geography : An introduction to Geographic Information Systems. The systematic management of spatial data. The use and construction of maps. The use of microcomputers and software for mapping and statistical work. Air photo and topographic map analyses.
Terms: Fall 2024
Instructors: Elrick, Tim (Fall)
Fall
3 hours and lab
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GEOG 314 Geospatial Analysis (3 credits)
Overview
Geography : Overview of both the theoretical and applied aspects of geographic information science and systems. Topics will include spatial analysis techniques, geographic models as abstractions of the real world, spatial data manipulation and management, and conceptual issues related to geographic data and technology. Introduction to a number of leading commercial software including ESRI鈥檚 ArcGIS Pro.
Terms: Winter 2025
Instructors: McKenzie, Grant (Winter)
Complementary Courses (12 credits)
3 credits selected from:
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COMP 202 Foundations of Programming (3 credits)
Overview
Computer Science (Sci) : Introduction to computer programming in a high level language: variables, expressions, primitive types, methods, conditionals, loops. Introduction to algorithms, data structures (arrays, strings), modular software design, libraries, file input/output, debugging, exception handling. Selected topics.
Terms: Fall 2024, Winter 2025
Instructors: M'hiri, Faten (Fall) M'hiri, Faten (Winter)
3 hours
Restrictions: Not open to students who have taken or are taking COMP 204, COMP 208, or GEOG 333; not open to students who have taken or are taking COMP 206 or COMP 250.
COMP 202 is intended as a general introductory course, while COMP 204 is intended for students in life sciences, and COMP 208 is intended for students in physical sciences and engineering.
To take COMP 202, students should have a solid understanding of pre-calculus fundamentals such as polynomial, trigonometric, exponential, and logarithmic functions.
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GEOG 333 Introduction to Programming for Spatial Sciences (3 credits)
Overview
Geography : Introduction to conceptual and practical aspects of programming for the spatial sciences, focusing on programming concepts and techniques irrespective of the specific programming language, framework, or software. Topics include spatial data structures, flow control, classes and objects, and basics of geospatial data modeling and analysis.
Terms: Fall 2024
Instructors: McKenzie, Grant (Fall)
Pre/co-requisite: GEOG 201
Restrictions: Not open to students who have taken or are taking COMP 202, COMP 204, or COMP 208. May be taken before COMP 206 orCOMP 250, but not concurrently with or after either course. Not open to students who have taken GEOG 407 in Fall 2019 or 2020.
No previous programming experience is expected.
3 credits selected from:
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ATOC 309 Weather Radars and Satellites (3 credits) *
Overview
Atmospheric & Oceanic Sciences : Basic notions of radiative transfer and applications of satellite and radar data to mesoscale and synoptic-scale systems are discussed. Emphasis will be put on the contribution of remote sensing to atmospheric and oceanic sciences.
Terms: Winter 2025
Instructors: Tan, Ivy (Winter)
Winter
3 hours lecture
Prerequisite: ATOC 215
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GEOG 308 Remote Sensing for Earth Observation (3 credits) *
Overview
Geography : A conceptual view of remote sensing and the underlying physical principles. Covers ground-based, aerial, satellite systems, and the electromagnetic spectrum, from visible to microwave. Emphasis on application of remotely sensed data in geography including land cover change and ecological processes.
Terms: Fall 2024
Instructors: Kalacska, Margaret (Fall)
Fall
3 hours and laboratory periods
Corequisite: GEOG 201 or permission of instructor
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GEOG 414 Advanced Geospatial Analysis (3 credits) *
Overview
Geography : Advanced techniques in geospatial analysis. Geospatial methods and using geospatial information systems. Topics: geodatabases, interpolation techniques, spatial classification methods, data mining and machine learning, including working with a number of leading commercial software including ESRI鈥檚 ArcGIS Desktop/Pro.
Terms: Fall 2024
Instructors: Sengupta, Raja (Fall)
6 credits selected from:
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ATOC 309 Weather Radars and Satellites (3 credits) *
Overview
Atmospheric & Oceanic Sciences : Basic notions of radiative transfer and applications of satellite and radar data to mesoscale and synoptic-scale systems are discussed. Emphasis will be put on the contribution of remote sensing to atmospheric and oceanic sciences.
Terms: Winter 2025
Instructors: Tan, Ivy (Winter)
Winter
3 hours lecture
Prerequisite: ATOC 215
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COMP 250 Introduction to Computer Science (3 credits)
Overview
Computer Science (Sci) : Mathematical tools (binary numbers, induction,recurrence relations, asymptotic complexity,establishing correctness of programs). Datastructures (arrays, stacks, queues, linked lists,trees, binary trees, binary search trees, heaps,hash tables). Recursive and non-recursivealgorithms (searching and sorting, tree andgraph traversal). Abstract data types. Objectoriented programming in Java (classes andobjects, interfaces, inheritance). Selected topics.
Terms: Fall 2024, Winter 2025
Instructors: Alberini, Giulia (Fall) Alberini, Giulia (Winter)
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ESYS 300 Earth Data Analysis (3 credits)
Overview
Earth System Science : An applied introduction to programming and statistical image processing tools used in Earth system science, typically covering linear regression, statistical significance, Fourier analysis, empirical orthogonal function analysis. Use of global remote-sensing and in-situ observations.
Terms: Fall 2024
Instructors: Tremblay, Bruno; Kalacska, Margaret (Fall)
Fall
3 hours lecture
Prerequisite: ESYS 200 or equivalent.
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GEOG 202 Statistics and Spatial Analysis (3 credits)
Overview
Geography : Exploratory data analysis, univariate descriptive and inferential statistics, non-parametric statistics, correlation and simple regression. Problems associated with analysing spatial data such as the 'modifiable areal unit problem' and spatial autocorrelation. Statistics measuring spatial pattern in point, line and polygon data.
Terms: Fall 2024
Instructors: Mahmud, Mallik (Fall)
3 hours and lab
You may not be able to receive credit for this course and other statistic courses. Be sure to check the Course Overlap section under Faculty Degree Requirements in the Arts or Science section of the Calendar.
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GEOG 308 Remote Sensing for Earth Observation (3 credits) *
Overview
Geography : A conceptual view of remote sensing and the underlying physical principles. Covers ground-based, aerial, satellite systems, and the electromagnetic spectrum, from visible to microwave. Emphasis on application of remotely sensed data in geography including land cover change and ecological processes.
Terms: Fall 2024
Instructors: Kalacska, Margaret (Fall)
Fall
3 hours and laboratory periods
Corequisite: GEOG 201 or permission of instructor
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GEOG 384 Principles of Geospatial Web (3 credits) *
Overview
Geography : Theory and practice of geospatial web, including examining spatial data accuracy and uncertainty of user generated content; Understanding motivations of contributors of volunteered geographic information for purposes like citizen science and crisis mapping; Critically evaluating political, societal, economic and legal issues in online mapping applications; Developing geospatial applications and identifying basic problem solving requirements for geospatial apps. For proposed 鈥╯olutions, evaluating and justifying various existing and emergent geospatial technologies and enabling software stacks; Exploring underlying methods of digital earth architectures; Understanding implications to geospatial analysis and visualization of real time streaming data and mobile sensors
Terms: Fall 2024
Instructors: Sieber, Renee (Fall)
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GEOG 414 Advanced Geospatial Analysis (3 credits) *
Overview
Geography : Advanced techniques in geospatial analysis. Geospatial methods and using geospatial information systems. Topics: geodatabases, interpolation techniques, spatial classification methods, data mining and machine learning, including working with a number of leading commercial software including ESRI鈥檚 ArcGIS Desktop/Pro.
Terms: Fall 2024
Instructors: Sengupta, Raja (Fall)
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GEOG 428 Earth System Geographic Information Science (3 credits)
Overview
Geography : Foundational concepts, methods and techniques in Geographic Information Science (GIS) to manage, process, interpret, understand, and analyze digital geospatial land surface data for a variety of Earth system applications, with a special focus on global hydrology. Emphasis will be placed on recognizing issues of resolution, scale, data accuracy and uncertainties.
Terms: Winter 2025
Instructors: Lehner, Bernhard (Winter)
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GEOG 506 Advanced Geographic Information Science (3 credits)
Overview
Geography : Critically analyse major themes in geographic information science and draw out the practical ramifications for spatial technologies and research. Topics such as spatial interoperability, data quality, scale, visualization, location based services and ontologies are covered.
Terms: This course is not scheduled for the 2024-2025 academic year.
Instructors: There are no professors associated with this course for the 2024-2025 academic year.
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GEOG 535 Remote Sensing and Interpretation (3 credits)
Overview
Geography : Basic photogrammetry and interpretation procedures for aircraft and space craft photography and imagery.
Terms: Winter 2025
Instructors: Kalacska, Margaret (Winter)
Winter
3 hours
Prerequisite: GEOG 308 and written permission of instructor
* may be taken in either list of complementary courses, but credits from one group may not be doubled-counted in the other.
