Sessional Instructor - SENG 550, Fall 2026, Electrical & Software Engineering
University of Calgary
Job Description
Sessional Instructor – SENG 550: Scalable Data Analytics (Fall 2026) Department of Electrical and Software Engineering, University of Calgary
Course Description Sources and characteristics of large scale data, i.e., big data, large scale data analysis, benefits of large-scale data analysis to various industry domains, programming paradigms and middleware technologies for scalable data analysis, algorithms that enable large-scale data processing, application of large scale data algorithms in selected application domains, e.g., Web user behaviour analysis and text processing, analytics frameworks.
Course Schedule Lecture: TR 11:00 am – 12:15 pm Labs: Wednesday 8:00 am – 9:50 am
Qualifications The successful candidate must have earned at least a master’s degree in electrical, computer or software engineering and demonstrate a background in the subject matter related to this course. The candidate should also have demonstrated teaching performance or potential for...
Course Description Sources and characteristics of large scale data, i.e., big data, large scale data analysis, benefits of large-scale data analysis to various industry domains, programming paradigms and middleware technologies for scalable data analysis, algorithms that enable large-scale data processing, application of large scale data algorithms in selected application domains, e.g., Web user behaviour analysis and text processing, analytics frameworks.
Course Schedule Lecture: TR 11:00 am – 12:15 pm Labs: Wednesday 8:00 am – 9:50 am
Qualifications The successful candidate must have earned at least a master’s degree in electrical, computer or software engineering and demonstrate a background in the subject matter related to this course. The candidate should also have demonstrated teaching performance or potential for...