Operating Systems (Fall 2026) Course Outline - Revision history

Soma: /* Grading */

2026-09-26T16:47:35Z

Grading

← Older revision		Revision as of 16:47, 26 September 2026
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	* 20% for tutorial participation.		* 20% for tutorial participation.
	* 20% for the assignments, if exam average is not too low (see below).		* 20% for the assignments, if exam average is not too low (see below).
	* 20% for the Midterm Exam, <del>Oct. 15th & 16th</del> Oct. 21st ~~& 22nd~~ during class.		* 20% for the Midterm Exam, <del>Oct. 15th & 16th</del> Oct. 20th & 21st during class.
	* 35% for the Final Exam (during the final exam period).		* 35% for the Final Exam (during the final exam period).

Soma: /* Grading */

2026-09-26T16:47:11Z

Grading

← Older revision		Revision as of 16:47, 26 September 2026
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	* 20% for tutorial participation.		* 20% for tutorial participation.
	* 20% for the assignments, if exam average is not too low (see below).		* 20% for the assignments, if exam average is not too low (see below).
	* 20% for the Midterm Exam, Oct. 15th & 16th during class.		* 20% for the Midterm Exam, <del>Oct. 15th & 16th</del> Oct. 21st & 22nd during class.
	* 35% for the Final Exam (during the final exam period).		* 35% for the Final Exam (during the final exam period).

Soma: /* Course Information */

2026-09-17T18:35:57Z

Course Information

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	*'''Tutorials:'''		*'''Tutorials:'''
	** A1: Wed. 13:05-14:25		** A1: Wed. 13:05-14:25
	** A2: ~~Wed~~. 19:35-20:55		** A2: Thu. 19:35-20:55
	** A3: Mon. 16:05-17:25		** A3: Mon. 16:05-17:25
	** B1: Mon. 14:35-15:55		** B1: Mon. 14:35-15:55

Soma: /* Grading */

2026-09-09T12:49:49Z

Grading

← Older revision		Revision as of 12:49, 9 September 2026
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	Note the following:		Note the following:
	* The midterm and final exams are closed book: no notes, no collaboration, no online resources, no AI. Exams will be written in an exam book based on printed exams, except where accommodations require other forms.		* The midterm and final exams are closed book: no notes, no collaboration, no online resources, no AI. Exams will be written in an exam book based on printed exams, except where accommodations require other forms. I reserve the right to give an oral exam for deferred exams.
	* The lecture and tutorial participation are fundamentally graded on a credit/no credit basis. In other words, if you show up and try you should be able to get full credit. Depending upon class performance the requirements for what is required to get full credit may change over the course of the semester; however, the expectation is that everyone who tries should be able to get 100% of these marks.		* The lecture and tutorial participation are fundamentally graded on a credit/no credit basis. In other words, if you show up and try you should be able to get full credit. Depending upon class performance the requirements for what is required to get full credit may change over the course of the semester; however, the expectation is that everyone who tries should be able to get 100% of these marks.
	* If your assignment average is more than 25% higher than your weighted exam average (midterm & final), assignment grades are dropped and the weight assigned to the exams. For example, if you get 100% on assignments but only 70% for the exams (weighted average), the assignments would no longer count towards your final grade. (Missed exams count as a zero for grade calculation purposes.)		* If your assignment average is more than 25% higher than your weighted exam average (midterm & final), assignment grades are dropped and the weight assigned to the exams. For example, if you get 100% on assignments but only 70% for the exams (weighted average), the assignments would no longer count towards your final grade. (Missed exams count as a zero for grade calculation purposes.)

Soma: /* Collaboration */

2026-08-25T02:01:30Z

Collaboration

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	Collaboration on all work is allowed except for the midterm and final. Collaboration, however, should be clearly acknowledged. See below for further details.		Collaboration on all work is allowed except for the midterm and final. Collaboration, however, should be clearly acknowledged. See below for further details.

	For assignments, while you may get help from others and even collaboratively solve technical problems, the code and answers submitted should all be your own work. For example, you ''may not'' divide an assignment into parts, give a part to another student or anyone else to solve, and then submit that work as your own. You have to have participated in the creation of every part of your submitted work. An easy way to make sure this happens is never share files regarding coursework or copy and paste answers into email. Instead, meet together ~~(virtually)~~ to work on an assignment and then separate to write up your solutions.		For assignments, while you may get help from others and even collaboratively solve technical problems, the code and answers submitted should all be your own work. For example, you ''may not'' divide an assignment into parts, give a part to another student or anyone else to solve, and then submit that work as your own. You have to have participated in the creation of every part of your submitted work. An easy way to make sure this happens is never share files regarding coursework or copy and paste answers into email. Instead, meet together to work on an assignment and then separate to write up your solutions.

	AIs should be treated the same as human collaborators, in that you may use them, but the answers you submit should be your own work, whether it is code or text. Note that artificially boosting your assignment grades may not be helpful if there is too much of a discrepancy between them and your exam grades (see [[#Grading\|Grading]] above).		AIs should be treated the same as human collaborators, in that you may use them, but the answers you submit should be your own work, whether it is code or text. Note that artificially boosting your assignment grades may not be helpful if there is too much of a discrepancy between them and your exam grades (see [[#Grading\|Grading]] above).

Soma at 01:37, 25 August 2026

2026-08-25T01:37:47Z

Soma at 23:37, 24 August 2026

2026-08-24T23:37:26Z

← Older revision		Revision as of 23:37, 24 August 2026
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	~~'''This course outline is in development.'''~~

	==Course Information==		==Course Information==

Soma: /* Collaboration */

2026-08-24T23:34:52Z

Collaboration

← Older revision		Revision as of 23:34, 24 August 2026
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	For assignments, while you may get help from others and even collaboratively solve technical problems, the code and answers submitted should all be your own work. For example, you ''may not'' divide an assignment into parts, give a part to another student or anyone else to solve, and then submit that work as your own. You have to have participated in the creation of every part of your submitted work. An easy way to make sure this happens is never share files regarding coursework or copy and paste answers into email. Instead, meet together (virtually) to work on an assignment and then separate to write up your solutions.		For assignments, while you may get help from others and even collaboratively solve technical problems, the code and answers submitted should all be your own work. For example, you ''may not'' divide an assignment into parts, give a part to another student or anyone else to solve, and then submit that work as your own. You have to have participated in the creation of every part of your submitted work. An easy way to make sure this happens is never share files regarding coursework or copy and paste answers into email. Instead, meet together (virtually) to work on an assignment and then separate to write up your solutions.

	AIs should be treated the same as human collaborators, in that you may use them, but the answers you submit should be your own work, whether it is code or text. Note that artificially boosting your assignment grades may not be helpful if there is too much of a discrepancy between them and your exam grades (see ~~Marking~~ above).		AIs should be treated the same as human collaborators, in that you may use them, but the answers you submit should be your own work, whether it is code or text. Note that artificially boosting your assignment grades may not be helpful if there is too much of a discrepancy between them and your exam grades (see [[#Grading\|Grading]] above).

	Similarity between submitted assignments and projects that has not been appropriately documented will be treated as plagiarism - the same as copying on a midterm or a final - and will be submitted to the Dean for disciplinary action.		Similarity between submitted assignments and projects that has not been appropriately documented will be treated as plagiarism - the same as copying on a midterm or a final - and will be submitted to the Dean for disciplinary action.

Soma: /* Grading */

2026-08-24T23:32:32Z

Grading

← Older revision		Revision as of 23:32, 24 August 2026
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	Note the following:		Note the following:
	* The midterm and final exams are closed book: no notes, no collaboration, no online resources, no AI. Exams will be written in an exam book based on printed exams, except where accommodations require other forms.		* The midterm and final exams are closed book: no notes, no collaboration, no online resources, no AI. Exams will be written in an exam book based on printed exams, except where accommodations require other forms.
	* The lecture and tutorial participation and fundamentally graded on a credit/no credit basis. In other words, if you show up and try you get full credit~~, otherwise you don't get any~~. Depending upon class performance the requirements for what is required to get full credit may change over the course of the semester; however, the expectation is that everyone who tries should be able to get 100% of these marks.		* The lecture and tutorial participation and fundamentally graded on a credit/no credit basis. In other words, if you show up and try you should be able to get full credit. Depending upon class performance the requirements for what is required to get full credit may change over the course of the semester; however, the expectation is that everyone who tries should be able to get 100% of these marks.
	* If your assignment average is more than 25% higher than your weighted exam average (midterm & final), assignment grades are dropped and the weight assigned to the exams. For example, if you get 100% on assignments but only 70% for the exams (weighted average), the assignments would no longer count towards your final grade. (Missed exams count as a zero for grade calculation purposes.)		* If your assignment average is more than 25% higher than your weighted exam average (midterm & final), assignment grades are dropped and the weight assigned to the exams. For example, if you get 100% on assignments but only 70% for the exams (weighted average), the assignments would no longer count towards your final grade. (Missed exams count as a zero for grade calculation purposes.)
	* Late assignments are only accepted until solutions are posted, unless extenuating circumstances apply and have been discussed with the course instructor. Tutorials have to be marked by a TA within 8 days of the tutorial being posted, again unless extenuating circumstances apply.		* Late assignments are only accepted until solutions are posted, unless extenuating circumstances apply and have been discussed with the course instructor. Tutorials have to be marked by a TA within 8 days of the tutorial being posted, again unless extenuating circumstances apply.

Soma: /* Course Information */

2026-08-24T23:31:09Z

Course Information

← Older revision		Revision as of 23:31, 24 August 2026
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	** B3: Thu. 16:05-17:25		** B3: Thu. 16:05-17:25
	*'''Course Website''': https://homeostasis.scs.carleton.ca/wiki/index.php/Operating_Systems_%28Fall_2026%29		*'''Course Website''': https://homeostasis.scs.carleton.ca/wiki/index.php/Operating_Systems_%28Fall_2026%29

			For information about Carleton's academic year, including registration and withdrawal dates, see [https://calendar.carleton.ca/academicyear/ Carleton's The Academic Year].

	==Course Calendar Description==		==Course Calendar Description==

← Older revision		Revision as of 01:37, 25 August 2026
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	* understand the basic use and architecture of virtual machine-based cloud architectures.		* understand the basic use and architecture of virtual machine-based cloud architectures.

	Note that in order to achieve these objectives students should ~~have~~ come into this course with a strong background in C programming and general application development.		Note that in order to achieve these objectives students should come into this course with a strong background in C programming and general application development.

	==Topics==		==Topics==
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	Note the following:		Note the following:
	* The midterm and final exams are closed book: no notes, no collaboration, no online resources, no AI. Exams will be written in an exam book based on printed exams, except where accommodations require other forms.		* The midterm and final exams are closed book: no notes, no collaboration, no online resources, no AI. Exams will be written in an exam book based on printed exams, except where accommodations require other forms.
	* The lecture and tutorial participation ~~and~~ fundamentally graded on a credit/no credit basis. In other words, if you show up and try you should be able to get full credit. Depending upon class performance the requirements for what is required to get full credit may change over the course of the semester; however, the expectation is that everyone who tries should be able to get 100% of these marks.		* The lecture and tutorial participation are fundamentally graded on a credit/no credit basis. In other words, if you show up and try you should be able to get full credit. Depending upon class performance the requirements for what is required to get full credit may change over the course of the semester; however, the expectation is that everyone who tries should be able to get 100% of these marks.
	* If your assignment average is more than 25% higher than your weighted exam average (midterm & final), assignment grades are dropped and the weight assigned to the exams. For example, if you get 100% on assignments but only 70% for the exams (weighted average), the assignments would no longer count towards your final grade. (Missed exams count as a zero for grade calculation purposes.)		* If your assignment average is more than 25% higher than your weighted exam average (midterm & final), assignment grades are dropped and the weight assigned to the exams. For example, if you get 100% on assignments but only 70% for the exams (weighted average), the assignments would no longer count towards your final grade. (Missed exams count as a zero for grade calculation purposes.)
	* Late assignments are only accepted until solutions are posted, unless extenuating circumstances apply and have been discussed with the course instructor. ~~Tutorials~~ have to be marked by a TA within 8 days of the tutorial being posted, again unless extenuating circumstances apply.		* Late assignments are only accepted until solutions are posted, unless extenuating circumstances apply and have been discussed with the course instructor. You have to get your tutorial marked by a TA within 8 days of the tutorial being posted, again unless extenuating circumstances apply.

	I also calculate grades using alternative marking schemes at the end of the semester, assigning the highest grade for each student from any of the marking schemes. Thus your final grade may be higher than might be suggested by strict following of the above scheme.		I also calculate grades using alternative marking schemes at the end of the semester, assigning the highest grade for each student from any of the marking schemes. Thus your final grade may be higher than might be suggested by strict following of the above scheme.
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	Tutorials are graded based on participation and effort, not correctness. They are marked out of four points. The expectation is that if you make a reasonable attempt at all parts of the tutorial, you will get 4/4 points. Thus for most students tutorials are an easy way to improve your overall grade. However, if you don't do the tutorials, you can significantly harm your grade for the course.		Tutorials are graded based on participation and effort, not correctness. They are marked out of four points. The expectation is that if you make a reasonable attempt at all parts of the tutorial, you will get 4/4 points. Thus for most students tutorials are an easy way to improve your overall grade. However, if you don't do the tutorials, you can significantly harm your grade for the course.

	To get credit for tutorials, you must demonstrate to your assigned TA that you have made a reasonable attempt at the questions. This demonstration will typically be through a brief conversation where you show your TA your work, either in person or virtually. If this is not feasible, at your TA's discretion you may submit written answers.		To get credit for tutorials, you must demonstrate to your assigned TA that you have made a reasonable attempt at the questions. This demonstration will typically be through a brief conversation where you show your TA your work, either in person or virtually. Normally this conversation should happen during your assigned tutorial time but may also take place during TA office hours. If this conversation is not feasible, at your TA's discretion you may submit written answers.

	The scheduled tutorial time is a designated time when you can work with TAs and other students together, in person, on that week's tutorial. TAs will generally also be available online during these times as well, so if you aren't on campus you can still get help and get credit. You can only get credit for a tutorial within 8 days of the tutorial being made available. (Tutorials are posted generally on Sundays, so you have until the end of the following Monday to get credit.) Partial attempts may be given partial credit; however, you may improve your tutorial mark as long as it is still being accepted. Exceptions will be made only if there are extenuating circumstances.		The scheduled tutorial time is a designated time when you can work with TAs and other students together, in person, on that week's tutorial. TAs will generally also be available online during these times as well, so if you aren't on campus you can still get help and get credit. You can only get credit for a tutorial within 8 days of the tutorial being made available. (Tutorials are posted generally on Sundays, so you have until the end of the following Monday to get credit.) Partial attempts may be given partial credit; however, you may improve your tutorial mark as long as it is still being accepted. Exceptions will be made only if there are extenuating circumstances.