Date Posted: 07/04/2025 Req ID: 44078 Faculty/Division: Faculty of Arts and Science Department: Department of Computer Science Campus:St. George (Downtown Toronto) Description: Course number and title : CSC2701HY : Communication for Computer Scientists : Deploying an ML/DevOps; 0.1 FCE (Sections LEC5101, LEC5201, LEC5301, LEC5401) *Please note, this is a 0.5 FCE course co:taught with other instructors; the hired Sessional Lecturer will teach a module equivalent to 0.10 FCE. Course description : The MScAc degree is intended to create technical leaders capable of transferring new ideas and technologies from academia to industry. Companies seeking to develop innovative solutions to technology:related problems face a critical need for technically sophisticated professionals who are aware of advanced research ideas and can identify commercial opportunities for such ideas. These individuals will provide the conduit between university research and the world of industry, offering substantial benefits of both. Estimated course enrolment : maximum 40 students per section Estimated TA support : To be determined in consultation with the instructor Class schedule: A maximum of four sections. LEC5101 biweekly on Tuesday 6:00pm:9:00pm; LEC5201 biweekly on Tuesdays 6:00pm:9:00pm; LEC5301 biweekly on Wednesdays, 6:00pm:9:00pm; LEC5401 bi:weekly on Wednesdays 6:00pm:9:00pm; Each lecture section will have three tutorial sections assigned to it; *Please note: the delivery method for this course is currently hybrid. In keeping with current circumstances, the course delivery method may change as determined by the Faculty or the Department. The number of sections may be reduced to three, depending on the confirmed number of students registered for the Fall semester. Instructors will be advised ahead of an offer being made, should this be the case. Sessional dates of appointment : September 1, 2025 : April 30, 2026 Salary : 4,500 per module (per section). Each module is equivalent to a 0.1 FCE load The work the sessional will complete for each section of this course is equivalent to a 0.1 FCE load and thus the salary has been prorated here. The posted rate is the same for all sessional ranks and posted rates are inclusive of vacation pay. Please note that should rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail. Minimum qualifications : stylemargin:bottom:11.0px: : Bachelor degree in Computer Science or closely relatd STEM field. : Demonstrated formal and extensive experience of career coaching of students with advanced backgrounds in STEM disciplines. : Demonstrated superior communication skills required. : Strong organizational and interpersonal skills required. : Experience deploying ML pipelines in industry. : Experience and evidence of teaching AI and Ops to students with advanced backgrounds in STEM subjects. Preferred qualifications : stylemargin:bottom:11.0px: : Demonstrated evidence of excellence in teaching preferred. Description of duties : stylemargin:bottom:11.0px: : Planning the lectures, tutorials, assignments, tests, and marking schemes associated with the module. : Maintaining a module website. : Delivering module material in lectures and tutorials. : Providing appropriate contact time outside of class to students, through office hours, email, the module website and/or the module e:bulletin board. : Assisting with preparing the breakdown of TA hours and supervising the TA(s) (if applicable). : Managing the assessment of the module and invigilating the final exam (if applicable). : Managing and submitting all module grades, including the timely completion and release of grades and feedback to students throughout the term. While there