Instructor - Computing and Data Science

6 months ago

North Vancouver, Canada Capilano University Full time

**Competition Number**
- F18717P**Position Title**
- Instructor - Computing and Data Science**Employee Group**
- Faculty**Position Status**
- Non-Regular**Position Type**
- Instructor**Special Appointee**

**Others please specify**

**Workload Amount**
- 5.5 sections**Department**
- Computing Science**Additional Notes**

**Location**
- North Vancouver**Working With Us**
- At Capilano University, learners are our focus. Guided by the goals outlined in **Envisioning** and **Illuminating** 2030, employees play an essential role in creating an exceptional learning experience for and with learners and are central to a thriving campus community. Together, we are inspired by imagination and Capilano University is one of the leading teaching-focused universities in British Columbia and one of BC’s Top Employers. Grounded by our sense of purpose, we offer a meaningful, friendly, and dynamic work environment.
- At Capilano University’s Faculty of Arts and Sciences, we are dedicated to nurturing talent, fostering innovation, and creating a dynamic community of educators. Joining our team means being part of a vibrant and forward-thinking academic environment that is deeply rooted in our core values of excellence, creativity, and respect.
- We’re redefining the academic model to provide an education that goes beyond textbooks and classrooms. Our vision is centered on learning by doing, seamlessly integrating theory and practice, fostering a strong connection with the environment, nurturing collaborative leadership, and embracing a synergistic model of education with a student-centered approach. We take pride in our commitment to scholarly teaching.
- As we look ahead to our exciting journey of Envisioning 2030, we are redefining what it means to work and thrive in academia. Our vision is to empower our students with the knowledge, skills, and mindset to thrive in a rapidly changing world. Here, you will experience a workplace that encourages you to push the boundaries of your capabilities, all while embracing our commitment to equity, diversity, and inclusivity.**What you’ll do**
- Computing and Data Science at Cap U is a small department with a close-knit faculty of exceptional educators. Our focus is on programming and pedagogy that creates a first class educational experience for our students, and supporting faculty in their own professional development and research interests. In contrast to traditional Computer Science programs, our courses and programs are designed to support the integration of computation and data science throughout degree programs in Arts and Science.- Computer Science 101 (discipline overview)
- Introductory programming (Python, C, C++)
- Introductory micro-controller / robotics (Arduino)
- Introductory Computational and Data Science
- Command-line scripting and data wrangling
- Applied databases
- Social, economic, environmental impact of computing technologies

As a small, high-functioning department at a teaching-oriented University, we are seeking a collegial, energetic, and innovative individual who can work within a creative, collaborative team. This position is created to help us build capacity and meet student demand for our courses and programs. We anticipate continued growth in demand for our programs, and are seeking someone who is motivated to join our department and contribute to the continued development of our unique programs and pedagogies.**What you’ll bring**- demonstrate excellence in teaching and learning at the undergraduate level with an ability to develop relevant, engaging experiential and applied learning opportunities for students;
- have exceptional communication and collaboration skills;
- cultivate life-enhancing learning experiences in diverse and inclusive environments;
- have passion for collaborative work that inspires innovative, inter-disciplinary curriculum and pedagogic design to improve student experiences and outcomes across all our programs;
- develop and teach emerging inter-disciplinary topics that combine computation, statistics, and science;
- proactively respond to rapidly evolving technologies and best-practices by sharing and creating relevant knowledge and timely skill development;
- be committed to partnering with local communities and external partners for the wider good and the long-term;
- continuously reflect on and learn from experience to effectively advance our commitment to co-create a distinct university experience;
- actively participate in departmental activities, STEM initiatives, and University service;
- commit to an on-going program of professional development;
- support the University’s strategic vision, which pledges to “transform the lives of learners, employees and communities with experiences and engagement opportunities to actualize their passion and potential."- a Masters degree in Computing, Computing Science, Data Science, or related discipline, PhD preferred;
- instructional experience at the post-secondary

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