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This course investigates the ethical problems associated with climate change, including: What ethical frameworks are helpful for evaluating the complex social, environmental, intergenerational and international ethical issues that climate change raises? What moral responsibility do individuals have for helping to resolve problems in which their whole society is implicated? What is the fairest and most effective way to limit greenhouse gas (GHG) emissions? Is our current rate of GHG emissions a new form of domination -- not only over the earth and other civilizations, but also over future generations? Does the massively collective nature of climate change necessitate new ways of conceptualizing environmental ethics? 05-01-2023-13-04-2023 Lecture Tuesday, Thursday 11:30AM - 12:45PM, Room to be Announced

This elective laboratory course provides students with the opportunity to apply techniques developed in VHM 3275. Five-week module with three hours of laboratory per week. Enrolment is limited. Restriction: Student must have third year standing in the DVM program. 16-03-2023-13-04-2023 Lab Thursday 01:30PM - 04:30PM, Atlantic Vet College, Room NB105 (more)...

Evidence-based management considers ethics and stakeholder concerns, practitioner judgment and expertise, local data and experimentation, and principles derived through formal research to inform decision-making. This course introduces students to qualitative and quantitative perspectives and methods for conducting and evaluating business research. Students develop information literacy as they learn to question assumptions and think critically about the nature of evidence and claims made about organizational phenomena. Problems in and prospects for improved managerial decision-making are included. Three hours a week Restriction: Student must have second year standing. 05-01-2023-13-04-2023 Lecture Tuesday, Thursday 11:30AM - 12:45PM, McDougall Hall, Room 246

This course builds upon the basis of inference studied in Statistics 1910 and Statistics 3240 to include statistical techniques commonly used in experimental studies. Students will study topics such as analysis of variance models, hypothesis testing in ANOVA models, randomization, and blocking techniques. Three lecture hours per week. 05-01-2023-13-04-2023 Lecture Tuesday, Thursday 02:30PM - 03:45PM, Health Sciences Bldg, Room 226

CLINICS IN FARM SERVICE-RUMINANT PRODUCTION RECORD ANALYSIS This course is a clinical rotation in the Farm Service section of the Veterinary Teaching Hospital. Students participate, with faculty supervision, in the practice of clinical veterinary medicine, and in the planning and delivering of programs to optimize production in dairy cows. This rotation emphasizes procedures and techniques for ruminant record analysis, including data acquisition, manipulation within a spreadsheet (including basic statistics and graphics), and report writing in a concise, comprehensive and meaningful report to motivate change. Enrollment is limited. One week in duration. 04-01-2023-03-05-2023

This course provides students with the opportunity to integrate theory into practice in a variety of multidisciplinary environments. Students complete a combination of supervised and independent work experience, and share their experiences in the classroom. PREREQUISITES: Kinesiology 312e, 3430, 3820 and permission of the Department Chair Two lecture hours per week and 60 hours of field placement. 09-01-2023-10-04-2023 Work Integrated Learning Monday 01:30PM - 04:30PM, Health Sciences Bldg, Room 323

This course provides students with a broad overview of corporate finance and financial markets. The focus is on the conceptual and analytical techniques necessary for making financial decisions with particular emphasis on information collection, problem-solving, and decision-making skills inherent in the finance function. Key concepts include the relevance of financial markets to the firm, understanding the relationship between risk and return and its importance in all financial decisions, and learning how to value financial and real assets and the impact on a company. 04-01-2023-12-04-2023 Lecture Wednesday 01:30PM - 04:20PM, Room to be Announced

This course introduces students to finite mathematical techniques and to mathematical models in business, life and the social sciences. The course begins with an introduction to mathematical models, types of models, and conversion of verbal models to mathematical models. Topics covered include systems of linear equations and matrices, linear inequalities and linear programming, sets, counting and probability. NOTE: Credit for Mathematics 1110 will not be allowed if taken concurrent with or subsequent to Mathematics 2610. PREREQUISITE: Grade XII academic Mathematics. 04-01-2023-12-04-2023 Lecture Monday, Wednesday, Friday 08:30AM - 09:20AM, SDU Main Bldg, Room 117

An upper year course typically designed to reflect an issue of current interest in Biology. Available to third and fourth year Biology Majors, preferably those who have completed their second year core Biology courses. The conditions under which the course may be offered will be subject to the approval of the Chair of the Department and the Dean of Science. Three semester hours of credit. Restriction: Student must have third or fourth year standing in Biology. 05-01-2023-13-04-2023 Lecture Tuesday, Thursday 10:00AM - 11:15AM, Robertson Library, Room 208