Computer Science Handbook for Success
The School of Computer Science provides a handbook to ensure your success during your academic career.
Tutoring and Assistants
The School of Computer Science offers free tutoring (in addition to teaching assistants and graduate assistants) to ensure your success in your program.
Tutoring is provided in Erie Hall 3146. Click here to view the Tutoring schedule.
To access Online Tutoring, login to Blackboard; find the CS-Current (CS Current Students) Organization (Left-side panel); then find CS Tutors (free) (Left-side panel). No appointments are necessary. You can visit the Tutors during their tutoring hours.
Students are recommended to seek academic advising on an annual basis to ensure course sequencing is met and your progress towards degree completion is on track.
Academic Advising schedule for Fall 2022 is as follows:
|11:00 am - 1:00 pm||Dr. Pooya Moradian Zadeh||LT 5105|
|12:00 noon - 2:00 pm||Dr. Arunita Jaekel||LT 5109|
|2:00 - 4:00 pm||Dr. Dan Wu||LT 8116|
|10:00 am - 12 noon||Dr. Sherif Saad||LT 5106|
|10:30 am - 12:30 pm||Dr. Imran Ahmad||LT 8112|
|2:00 - 4:00 pm||Dr. Peter Tsin||LT 8117|
Academic Advising is by APPOINTMENT ONLY. To book an appointment with an academic advisor please e-mail (firstname.lastname@example.org).
Core Computer Science courses are offered in various terms. Please ensure that you are following the recommended course sequencing.
Link to the list of the typical annual course offerings for Undergraduate Computer Science students.
Each course and each program has learning objectives approved by Senate. Link here to view.
Self-directed learning. The School provides access (after the add/drop deadline date) to LinkedIn Learning which is an online learning resource with high-quality instructional videos on a variety of subjects.