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--- grads:msc_student_handbook [2023/10/26 16:04] – [D. Examination Committee] jhughe13
+++ grads:msc_student_handbook [2024/09/23 13:16] (current) – [A. Advisory Committee Approval & Request for Examination (Defence)] jhughe13
@@ Line 27: / Line 27: @@
 ===== Course Requirement =====
-An MSc student is required to take the Technical Communication and Research Methodology course [[https://calendar.uoguelph.ca/graduate-calendar/graduate-programs/computer-science/#coursestext | CIS*6890]] and at least four other CIS graduate courses [2.5 credits]. Of these four courses, at least two should be outside of the student's thesis topic area. This area and the courses which fall outside of this area are identified by the student's advisor. With approval from the Graduate Program Committee, a CIS graduate course requirement may also be met by a non-CIS graduate course or by a 4000-level course. At most one reading course (CIS*6660) and at most one 4000-level course can count towards the course requirement.
+An MSc student is required to take the Technical Communication and Research Methodology course [[https://calendar.uoguelph.ca/graduate-calendar/graduate-programs/computer-science/#coursestext | CIS*6890]] and at least four other CIS graduate courses [**2.5 credits**]. Of these four courses, at least two should be outside of the student's thesis topic area. This area and the courses which fall outside of this area are identified by the student's advisor. With approval from the Graduate Program Committee, a CIS graduate course requirement may also be met by a non-CIS graduate course or by a 4000-level course. At most one reading course (CIS*6660) and at most one 4000-level course can count towards the course requirement.
 Please refer to the Graduate Calendar for details regarding [[https://calendar.uoguelph.ca/graduate-calendar/general-regulations/academic-standings/| graduate grade interpretation]].
@@ Line 33: / Line 33: @@
 **Artificial Intelligence (AI) Collaborative Specialization**
-An MSc student enrolled in the [[https://calendar.uoguelph.ca/graduate-calendar/collaborative-specializations/artificial-intelligence/#requirementstext| AI Collaborative Specialization]] is required to take five and a half courses [2.75 credits] from the following below:
+An MSc student enrolled in the [[https://calendar.uoguelph.ca/graduate-calendar/collaborative-specializations/artificial-intelligence/#requirementstext| AI Collaborative Specialization]] is required to take five and a half courses [**2.75 credits**] from the following below:
+[[https://www.uoguelph.ca/ceps/system/files/2023%20Collaborative%20Specialization%20in%20Artificial%20Intelligence%20Program%20Course%20Requirements.pdf | AI Collaborative Specialization Course Requirements Chart]]
 Compulsory Courses [1.25 credits]:
@@ Line 47: / Line 49: @@
 Courses [1.00 credits] from the following Complementary AI-related courses:
-  * BINF*6970 Statistical Bioinformatics
-  * CIS*6050 Neural Networks
+  *     BINF*6970 Statistical Bioinformatics
-  * CIS*6060 Bioinformatics
+  *     CIS*6050 Neural Networks
-  * CIS*6070 Discrete Optimization
+  *     CIS*6060 Bioinformatics
-  * CIS*6080 Genetic Algorithms
+  *     CIS*6070 Discrete Optimization
-  * CIS*6120 Uncertainty Reasoning in Knowledge Representation
+  *     CIS*6080 Genetic Algorithms
-  * CIS*6160 Multiagent Systems
+  *     CIS*6120 Uncertainty Reasoning in Knowledge Representation
-  * CIS*6170 Human-Computer Interaction
+  *     CIS*6160 Multiagent Systems
-  * CIS*6180/DATA*6300 Analysis of Big Data
+  *     CIS*6170 Human-Computer Interaction
-  * CIS*6190/DATA*6400 Machine Learning for Sequential Data Processing
+  *     CIS*6180/DATA*6300 Analysis of Big Data
-  * CIS*6320 Image Processing Algorithms and Applications
+  *     CIS*6190/DATA*6400 Machine Learning for Sequential Data Processing
-  * CIS*6420 Soft Computing
+  *     CIS*6320 Image Processing Algorithms and Applications
-  * ENGG*4460 Robotic Systems
+  *     CIS*6420 Soft Computing
-  * ENGG*6090 Image Analysis
+  *     ENGG*4460 Robotic Systems
-  * ENGG*6100 Machine Vision
+  *     ENGG*6090 Image Analysis
-  * ENGG*6140 Optimization Techniques for Engineering
+  *     ENGG*6100 Machine Vision
-  * ENGG*6570 Advanced Soft Computing
+  *     ENGG*6140 Optimization Techniques for Engineering
-  * MATH*6020 Scientific Computing
+  *     ENGG*6570 Advanced Soft Computing
-  * MATH*6021 Optimization I
+  *     ENGG*6600 Reinforcement Learning *Fall 2022 offering only
-  * MATH*6051 Mathematical Modelling
+  *     MATH*6020 Scientific Computing
-  * PHIL*6400 Ethics of Data Science (formerly PHIL*6760 Science and Ethics)
+  *     MATH*6021 Optimization I
-  * STAT*4000 Statistical Computing
+  *     MATH*6051 Mathematical Modelling
-  * STAT*6721 Stochastic Modelling
+  *     PHIL*6400 Ethics of Data Science (formerly PHIL*6760 Science and Ethics)
-  * STAT*6821 Multivariate Analysis
+  *     STAT*4000 Statistical Computing
-  * STAT*6841 Computational Statistical Inference
+  *     STAT*6721 Stochastic Modelling
+  *     STAT*6821 Multivariate Analysis
+  *     STAT*6841 Computational Statistical Inference
+//
+Note: CSAI students can elect to take a second "elective core course" in lieu of a complementary AI-related course.//
 **One Health Collaborative Specialization**
-An MSc student enrolled in the [[https://calendar.uoguelph.ca/graduate-calendar/collaborative-specializations/one-health/#coursestext| One Health Collaborative Specialization]] is required to take six grad courses from the following below [3.0 credits]:
+An MSc student enrolled in the [[https://calendar.uoguelph.ca/graduate-calendar/collaborative-specializations/one-health/#coursestext| One Health Collaborative Specialization]] is required to take six grad courses from the following below [**2.5 credits**]:
   * CIS*6890 Technical Communication and Research Methodology [0.5]
   * ONEH*6000 One Health Approaches to Research [0.5]
   * ONEH*6100 Master’s Seminar in One Health [0.5]
-  * 3x 0.5 Computer Science graduate courses [1.5]
+  * 2x 0.5 Computer Science graduate courses [1.00]
 ----
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   *   [[https://www.uoguelph.ca/graduatestudies/sites/uoguelph.ca.graduatestudies/files/exam_request%20a.pdf | Examination Request Form]]
-  *   {{ :facultystaff:forms:grad_faculty_nomination_form_-_f23.pdf | Graduate Faculty Nomination [Exam Committee]}}
+  * {{ :grads:grad_faculty_nomination_form_-_f24.pdf | Graduate Faculty Nomination [Exam Committee]}}
   *   Tentative date range for the defence