Okay, I've searched for Sessional Lecturer roles in Data Analytics or Human Resources in Toronto that require a PhD and emphasize the use of R software for teaching. I found 12 available positions related to your criteria.

Sure. Here's the analysis:

Job Analysis:

The role of Sessional Lecturer for the IRE2004HS course at the University of Toronto's Woodsworth College is fundamentally about imparting practical knowledge of data analytics and metrics in the context of industrial relations and human resources. The candidate will prepare and conduct lectures, assessing students on their ability to apply statistical concepts using R software to real-world HR situations. This position requires not only expertise in HR analytics but also the ability to convey complex ideas clearly to a diverse undergraduate audience. Candidates should expect to navigate challenges such as engaging students with varying levels of prior knowledge and ensuring practical application of theoretical concepts. Success in this role will be marked by high student participation and engagement, as well as positive feedback demonstrated through evaluations. Essentially, the goal is to produce graduates who are capable of making informed decisions based on analytics in their future HR careers.

Company Analysis:

Woodsworth College, as part of the Faculty of Arts and Science at the University of Toronto, occupies a unique position within a recognized global institution known for its academic rigor. With a commitment to diversity and inclusion, the college fosters an engaging and supportive environment conducive to learning. The teaching role here emphasizes not just transferring knowledge, but nurturing a culture of critical thinking and application of concepts. Given the college's mission to serve a diverse student body and the emphasis on practical application of analytics, the culture likely prioritizes innovation and adaptability. The Sessional Lecturer role is essential in maintaining curriculum relevance and ensuring students are equipped for the evolving demands of the HR sector. The position sits within a team structure that values collaboration, and it is crucial for the lecturer to align course objectives with broader departmental goals, creating a learning environment that bridges theoretical and practical aspects of HR work.

Absolutely. Here are some mock interview questions that could come up:

• Can you describe a time when you had to simplify a complex statistical concept for students? What was your approach?
• Tell me about an experience where you used R software for data analysis. What were the outcomes of your analysis?
• How do you ensure that your teaching methods are inclusive and meet the needs of a diverse student population?
• Discuss a situation where you had to navigate a challenge in a classroom setting. How did you handle it?
• How would you structure a lecture on ANOVA to keep students engaged and ensure they understand its application in HR?
• What strategies would you employ to assess students' understanding of multivariate regression effectively?
• Imagine a student is struggling with the statistical reasoning part of the course. How would you approach mentoring them?
• If you were tasked with creating a course syllabus for the IRE2004HS class, what key topics would you include and why?
• Why are you interested in teaching at Woodsworth College and how do you see yourself contributing to its values and mission?
• Can you explain how your experiences align with the expectations of teaching this course specifically?
• What are some common pitfalls in statistical reasoning that you think students should be made aware of, and how would you address these in your class?
• How would you incorporate real-world HR examples into your curriculum to make data analytics more relatable for students?
• What questions might you have about the resources available for teaching in this role at the University of Toronto?
• How do you adapt your teaching strategies based on student feedback and evaluations?