Event Title
Interdisciplinary Insights - Discrete Mathematics and Data Structuring
Location
DSB 104A
Start Date
29-5-2015 3:40 PM
End Date
29-5-2015 5:00 PM
Session Type
Poster Presentation
Description
Data Structures ranks as one of the most challenging courses in our Computer Science curriculum and as one that has the steepest learning curve for our students. An on-going problem we face in teaching data structures is finding time and mechanism to cover the mathematical concepts that are necessary for understanding the critical aspects of the course. In this poster presentation, we share our interdisciplinary approach, the challenges we faced, what worked and well and what still needs improvement. We share survey results showing that students had the opportunity to make connections not only between these two courses, but also between how what is being learned in the classroom fits into a broader scope of learning.
Topic Designation
Teaching & Learning
Interdisciplinary Insights - Discrete Mathematics and Data Structuring
DSB 104A
Data Structures ranks as one of the most challenging courses in our Computer Science curriculum and as one that has the steepest learning curve for our students. An on-going problem we face in teaching data structures is finding time and mechanism to cover the mathematical concepts that are necessary for understanding the critical aspects of the course. In this poster presentation, we share our interdisciplinary approach, the challenges we faced, what worked and well and what still needs improvement. We share survey results showing that students had the opportunity to make connections not only between these two courses, but also between how what is being learned in the classroom fits into a broader scope of learning.