Part-time Instructor in Understanding AI Data (English)
Last updated: November 26, 2024, 4:47 p.m.
Course Title: Understanding AI Data
Course Code: CEAI 1003
Date posted: 2024-11-07
Application deadline: 2024-11-29
Format: Online (30 hours)
Language of instruction: English
Schedule
Term: Winter 2025
Term dates: January 14, 2025– March 18, 2025
Day: Thursdays
Time of day: 18:00 – 21:00
Position description
The Centre for Continuing Education at Concordia University provides part-time employment to a range of subject-matter experts to teach in short-target courses and programs. Teaching tasks include the preparation of course and course plan, delivery of course, evaluating student performance and grading student work and grade submission. Instructors attend departmental meetings and attend professional development training activities related to the program.
Course description and learning outcomes
Artificial Intelligence (AI) doesn’t exist without data. In 2006, British mathematician Clive Humby said, “Data is the new oil.” And data is the fuel that powers AI. However, having data is not enough, you need good data. But how can you identify quality data in the AI world? This course provides the answer.
The first part of the course will help participants identify good data, spot potential biases, and interpret graphs and other visualizations from data. The second part of the course will focus on the practical aspects of data for AI projects. This section will help participants assess data requirements for AI projects, differentiate between various storage methods, and identify data sources. Upon completion of the course, participants will grasp the single most important aspect of AI—data.
To help participants develop data skills for AI, they will be exposed to case studies and other projects that resemble data-related situations AI professionals face daily. During these exercises, they will examine the different steps of the data lifecycle to help them assess data quality and the requirements for various AI projects. The assignments will position the participant as the domain expert and client on an AI project and teach them how to work alongside a data scientist.
By the end of this course, the participants will be able to:
- Explain the importance of "good" data in AI projects
- Describe the different types of data used in AI projects
- Identify the different techniques used to handle and store data in AI
- Assess what is required to carry out an AI project
Qualifications and assets
- Education: BS/MS Major in Computer Science or equivalent with a preference given to specialization in AI; or equivalent relevant work experience
- Industry experience: 5+ years relevant work experience as a data scientist or any other similar professions working with data to create AI models
- Teaching experience: 2+ years of experience delivering training material, workshops, lectures, or classroom teaching
- Experience: Hands on experience working with data and creating machine learning models
How to apply
Applications should be addressed to the Centre for Continuing Education, Ms. Michele Wu (michele.wu@concordia.ca) and must include a cover letter clearly identifying the course title and a detailed curriculum vitae. Electronic applications should be submitted by the deadline but will continue to be reviewed until course has been filled. Only short-listed candidates will be notified.
Concordia strives to be an inclusive institution that is welcoming of diverse backgrounds and experiences in order to improve learning, advance research, inspire creativity, and drive productivity. We define diversity broadly to include both ethnic and socio‐cultural background and diversity of perspectives, ideologies and traditions.
As part of this commitment to providing our participants with the dynamic, innovative, and inclusive educational environment of a Next‐Generation University, we require all applicants to articulate in their cover letter how their background, as well as lived and professional experiences and expertise have prepared them to conduct innovative research and to teach in ways that are relevant for a diverse, multicultural contemporary Canadian society.
Adaptive measures
Applicants who anticipate requiring adaptive measures throughout any stage of the recruitment process may contact, in confidence, Anna Barrafato, Accessibility Change Lead: anna.barrafato@concordia.ca or by phone at 514-848-2424 extension 3511.
Concordia Continuing Education (CCE) is an integral part of Concordia University. It enhances the general mission of the University by delivering a wide range of innovative professional development courses, bootcamps, programs, customized trainings and workshops that provide a unique and challenging experience. CCE is an opportunity hub that specializes in professional, personal and organizational growth. It offers distinctive learning opportunities in response to professional and organizational growth needs as well as strategic development needs. Whether it is to acquire new skills, surpass objectives or simply to discover and explore, we provide learning that works.
Concordia University is located on unceded Indigenous lands. Tiohtià:ke/Montreal, on the traditional lands and waters of the Kanien’kehá:ka Nation, is historically known as a gathering place for many First Nations. Today it is home to a diverse population of Indigenous and other peoples. We respect the continued connections with the past, present and future in our ongoing relationships with Indigenous and other peoples within the Montreal community.
Building on the skills of our faculty and the strengths of Indigenous, local, and global partnerships, we set our sights further and more broadly than others and align the quality of learning opportunities to larger trends and substantial challenges facing society.
“Concordia is a young, forward-looking university. It’s a unique place where experimentation, innovation and creativity are truly valued. Our community of students, faculty, staff and alumni all contribute to our momentum as Canada’s next-gen university.” — Concordia President Graham Carr.
Profoundly global, Concordia is North America’s top university under the age of 50 and is recognized for attracting some of the most talented faculty and students from around the world. Driven by ambition, innovation and a commitment to reconciliation, research and community engagement, Concordia is celebrated for advancing transformative learning, convergent thinking and public impact.
Tiohtià:ke/Montreal, is exceptional; safe, vibrant and diverse, with new things to discover around every corner. The Kanien’kehá:ka Nation is recognized as the custodians of the lands and waters on which we gather and conduct our activities. With a population of 1.7 million, Tiohtià:ke/Montreal is home to four major universities and several clinical research centres and has been named the best student city in the world. It offers the most affordable tuition in Canada.
The city enjoys a thriving multicultural scene. Bilingualism is a part of Montreal’s tradition and adds to its inspiring atmosphere. While supporting a significant anglophone population, it is the one of the largest French-speaking cities in the world.
Montreal is famed for its innovative culinary scene and festivals. It was also the first metropolis to be designated a UNESCO City of Design by the Global Alliance for Cultural Diversity.
The city is recognized globally as an important centre for commerce, aerospace, transport, finance, pharmaceuticals, technology, design, gaming and film.
Territorial Acknowledgement
Concordia University is located on unceded Indigenous lands. The Kanien’kehá:ka Nation is recognized as the custodians of the lands and waters on which we gather today. Tiohtià:ke/Montreal is historically known as a gathering place for many First Nations. Today, it is home to a diverse population of Indigenous and other peoples. We respect the continued connections with the past, present and future in our ongoing relationships with Indigenous and other peoples within the Montreal community.
Employment Equity
Concordia University is strongly committed to employment equity within its community, and to recruiting a diverse faculty and staff. The University encourages applications from all qualified candidates, including women, racialized persons, Indigenous persons, 2SLGBTQI+ persons, and persons with disabilities; candidates are invited to self-identify in their applications.