Algorithms and Data Structures DSBA 2020 - История изменений

NATab в 07:59, 26 февраля 2020

2020-02-26T07:59:50Z

← Предыдущая версия		Версия от 07:59, 26 февраля 2020
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	participants. We consider two sorts of points: 1) regular points (RP) and 2) bonus points (BP). '''BPs''' are given for additional efforts and for excellent jobs. RPs and BPs are accumulated during the semester.		participants. We consider two sorts of points: 1) regular points (RP) and 2) bonus points (BP). '''BPs''' are given for additional efforts and for excellent jobs. RPs and BPs are accumulated during the semester.

	''' Ongoing Assessment '''= ~~max~~([10·((RP + BP)/RP<sub>max</sub>)],10) <br/>		''' Ongoing Assessment '''= min([10·((RP + BP)/RP<sub>max</sub>)],10) <br/>

	Finally, some kinds of out-of-class activities can be accounted for as a part of ongoing assessment. Peer review work, preparing and reporting one of course-related topics are examples of such activities.		Finally, some kinds of out-of-class activities can be accounted for as a part of ongoing assessment. Peer review work, preparing and reporting one of course-related topics are examples of such activities.

NATab в 07:51, 26 февраля 2020

2020-02-26T07:51:24Z

← Предыдущая версия		Версия от 07:51, 26 февраля 2020
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	== [https://www.hse.ru/en/ba/data/courses/292666791.html Syllabus] ==		== [https://www.hse.ru/en/ba/data/courses/292666791.html Syllabus] ==
	=== or see [https://drive.google.com/~~drive~~/~~folders~~/~~1WILlsBXi9t0hDv-KY00I-FQK9Ibe1XxP~~ this version of the syllabus] ===		=== or see [https://drive.google.com/file/d/1GuKXredgC7QiDgvHGirD0t5yau0kfkBe/view?usp=sharing this version of the syllabus] ===

	'''You can access all information about this course and the materials via the [https://sites.google.com/view/introprog19/ website]'''		'''You can access all information about this course and the materials via the [https://sites.google.com/view/introprog19/ website]'''

NATab в 07:50, 26 февраля 2020

2020-02-26T07:50:25Z

← Предыдущая версия		Версия от 07:50, 26 февраля 2020
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	== [https://www.hse.ru/en/ba/data/courses/292666791.html Syllabus] ==		== [https://www.hse.ru/en/ba/data/courses/292666791.html Syllabus] ==
			=== or see [https://drive.google.com/drive/folders/1WILlsBXi9t0hDv-KY00I-FQK9Ibe1XxP this version of the syllabus] ===

	'''You can access all information about this course and the materials via the [https://sites.google.com/view/introprog19/ website]'''		'''You can access all information about this course and the materials via the [https://sites.google.com/view/introprog19/ website]'''

NATab в 13:26, 17 января 2020

2020-01-17T13:26:12Z

← Предыдущая версия		Версия от 13:26, 17 января 2020
Строка 2:		Строка 2:
	== [https://www.hse.ru/en/ba/data/courses/292666791.html Syllabus] ==		== [https://www.hse.ru/en/ba/data/courses/292666791.html Syllabus] ==

	'''You can access all information about this course via the [https://sites.google.com/view/introprog19/ website]'''		'''You can access all information about this course and the materials via the [https://sites.google.com/view/introprog19/ website]'''

	The training course “Algorithms and Data Structures” is offered to students of Bachelor Program “HSE and University of London Double Degree Programme in Data Science and Business Analytics” at the Faculty of Computer Science of the National Research University — Higher School of Economics (HSE). The course is classified as an compulsory subject; it is a two-module course (semester B quartiles 3 and 4).		The training course “Algorithms and Data Structures” is offered to students of Bachelor Program “HSE and University of London Double Degree Programme in Data Science and Business Analytics” at the Faculty of Computer Science of the National Research University — Higher School of Economics (HSE). The course is classified as an compulsory subject; it is a two-module course (semester B quartiles 3 and 4).

NATab в 13:07, 17 января 2020

2020-01-17T13:07:17Z

← Предыдущая версия		Версия от 13:07, 17 января 2020
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	''' 4th Module G(rade)''' = 0.4 · Final Exam + 0.6 · Ongoing Assessment		''' 4th Module G(rade)''' = 0.4 · Final Exam + 0.6 · Ongoing Assessment

	=== The ~~ongoing assessment~~ ===		=== The Ongoing Assessment ===

	The ongoing assessment grade is accumulated throughout all the classes and is related to a participant’s activity.		The ongoing assessment grade is accumulated throughout all the classes and is related to a participant’s activity.

NATab в 13:06, 17 января 2020

2020-01-17T13:06:52Z

← Предыдущая версия		Версия от 13:06, 17 января 2020
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	== Grading system ==		== Grading system ==

			=== The Course Grade ===

	The course grade is based on both ongoing assessment and final examination. The third module ends up with an intermediate test. The fourth module ends up with a final exam. The grade for the final exam together with a cumulative grade represent a final grade for the course. The ultimate grade G for the whole course is calculated as:		The course grade is based on both ongoing assessment and final examination. The third module ends up with an intermediate test. The fourth module ends up with a final exam. The grade for the final exam together with a cumulative grade represent a final grade for the course. The ultimate grade G for the whole course is calculated as:

	''' 4th Module G(rade)''' = 0.4 · Final Exam + 0.6 · Ongoing Assessment		''' 4th Module G(rade)''' = 0.4 · Final Exam + 0.6 · Ongoing Assessment

			=== The ongoing assessment ===

	The ongoing assessment grade is accumulated throughout all the classes and is related to a participant’s activity.		The ongoing assessment grade is accumulated throughout all the classes and is related to a participant’s activity.

	During the classes, there are some activities available for students to be involved in. They include (but are not limited by) writing code and developing applications, evaluating practical problems, ~~solv�ing~~ tests, answering questions and so on. Every activity is evaluated and grants some points (RP) to		During the classes, there are some activities available for students to be involved in. They include (but are not limited by) writing code and developing applications, evaluating practical problems, solving tests, answering questions and so on. Every activity is evaluated and grants some points (RP) to
	participants. We consider two sorts of points: 1) regular points (RP) and 2) bonus points (BP). BPs are given for additional efforts and for excellent jobs. RPs and BPs are accumulated during a semester.		participants. We consider two sorts of points: 1) regular points (RP) and 2) bonus points (BP). '''BPs''' are given for additional efforts and for excellent jobs. RPs and BPs are accumulated during the semester.

	''' Ongoing Assessment '''= max([10·((RP + BP)/RP<sub>max</sub>)],10) <br/>		''' Ongoing Assessment '''= max([10·((RP + BP)/RP<sub>max</sub>)],10) <br/>

	Finally, some kinds of out-of-class activities can be accounted for as a part of ongoing assessment. Peer review work, preparing and reporting one of a course-related topics are examples of such activities.		Finally, some kinds of out-of-class activities can be accounted for as a part of ongoing assessment. Peer review work, preparing and reporting one of course-related topics are examples of such activities.

			=== Regular Points ===

	Students’ skills are tested using automated testing. This way, a student is assigned an individual task, prepares it by using a personal computer and, then, submits it by using a special service, such as Yandex.Contest or a repository-based tool. The specific solution is subject to further clarification.		Students’ skills are tested using automated testing. This way, a student is assigned an individual task, prepares it by using a personal computer and, then, submits it by using a special service, such as Yandex.Contest or a repository-based tool. The specific solution is subject to further clarification.
Строка 53:		Строка 59:
	examinations. For any two corresponding submissions, one for home work and one for class work, graded as H and C respectively, the resulting grade R is calculated as follows:		examinations. For any two corresponding submissions, one for home work and one for class work, graded as H and C respectively, the resulting grade R is calculated as follows:

	R = 0.8 · min(H, C) + 0.2 · max(H, C).		'''R(egular)''' = 0.8 · min(H, C) + 0.2 · max(H, C).

NATab в 13:03, 17 января 2020

2020-01-17T13:03:58Z

← Предыдущая версия		Версия от 13:03, 17 января 2020
Строка 34:		Строка 34:

	== Grading system ==		== Grading system ==
	Students’ skills are tested using automated testing. This way, a student is assigned an individual task, prepares it by using a personal computer and, then, submits it by using a special service, such as Yandex.Contest or a repository-based tool. The specific solution is subject to further clarification.

	''' 4th Module G(rade)''' = 0.4 * Final Exam + 0.6 * Ongoing Assessment		The course grade is based on both ongoing assessment and final examination. The third module ends up with an intermediate test. The fourth module ends up with a final exam. The grade for the final exam together with a cumulative grade represent a final grade for the course. The ultimate grade G for the whole course is calculated as:

			''' 4th Module G(rade)''' = 0.4 · Final Exam + 0.6 · Ongoing Assessment

	The ongoing assessment grade is accumulated throughout all the classes and is related to a participant’s activity.		The ongoing assessment grade is accumulated throughout all the classes and is related to a participant’s activity.

	''' Ongoing Assessment '''= max([10*((RP + BP)/RP<sub>max</sub>)],10) <br/>		During the classes, there are some activities available for students to be involved in. They include (but are not limited by) writing code and developing applications, evaluating practical problems, solv�ing tests, answering questions and so on. Every activity is evaluated and grants some points (RP) to
	~~RP = Regular Points <br/>~~		participants. We consider two sorts of points: 1) regular points (RP) and 2) bonus points (BP). BPs are given for additional efforts and for excellent jobs. RPs and BPs are accumulated during a semester.
	BP = ~~Bonus Points <br/>~~
			''' Ongoing Assessment '''= max([10·((RP + BP)/RP<sub>max</sub>)],10) <br/>

			Finally, some kinds of out-of-class activities can be accounted for as a part of ongoing assessment. Peer review work, preparing and reporting one of a course-related topics are examples of such activities.

			Students’ skills are tested using automated testing. This way, a student is assigned an individual task, prepares it by using a personal computer and, then, submits it by using a special service, such as Yandex.Contest or a repository-based tool. The specific solution is subject to further clarification.

			The individual home-based task submissions are to be further reassessed through in-class tests or
			examinations. For any two corresponding submissions, one for home work and one for class work, graded as H and C respectively, the resulting grade R is calculated as follows:

			R = 0.8 · min(H, C) + 0.2 · max(H, C).

NATab в 13:00, 17 января 2020

2020-01-17T13:00:21Z

← Предыдущая версия		Версия от 13:00, 17 января 2020
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	'''You can access all information about this course via the [https://sites.google.com/view/introprog19/ website]'''		'''You can access all information about this course via the [https://sites.google.com/view/introprog19/ website]'''

	The training course “Algorithms and Data Structures” is offered to students of Bachelor Program “HSE and University of London Double Degree Programme in Data Science and Business Analytics” ~~(area code 01.03.02)~~ at the Faculty of Computer Science of the National Research University — Higher School of Economics (HSE). The course is classified as an compulsory subject ~~(Б.Пр.Б unit / base module,Б.Пр. – Major disciplines of 2019–2020 academic year working сurriculum)~~; it is a two-module course (semester B quartiles 3 and 4). The syllabus is prepared for teachers responsible for the course (closely related disciplines), teaching assistants, students enrolled in the course as well as experts and statutory bodies carrying out assigned or regular accreditations. The course is dedicated to the basics of design and analysis of algorithms. It also involves learning fundamental data structures implemented by the C++ Standard Library (STL). The lectures and practical classes are closely inter-related. The lectures are primarily intended to introduce new topics, whereas the practical classes are intended for solving specific problems by coding programs in C++. Successful completion of “Introduction to Programming” course is the sole prerequisite for being enrolled in this course.		The training course “Algorithms and Data Structures” is offered to students of Bachelor Program “HSE and University of London Double Degree Programme in Data Science and Business Analytics” at the Faculty of Computer Science of the National Research University — Higher School of Economics (HSE). The course is classified as an compulsory subject; it is a two-module course (semester B quartiles 3 and 4).

			The course is dedicated to the basics of design and analysis of algorithms. It also involves learning fundamental data structures implemented by the C++ Standard Library (STL).

			The lectures and practical classes are closely inter-related. The lectures are primarily intended to introduce new topics, whereas the practical classes are intended for solving specific problems by coding programs in C++. Successful completion of “Introduction to Programming” course is the sole prerequisite for being enrolled in this course.

	== Lecturers and Teachers ==		== Lecturers and Teachers ==

NATab в 12:23, 17 января 2020

2020-01-17T12:23:52Z

← Предыдущая версия		Версия от 12:23, 17 января 2020
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	=== [https://www.hse.ru/en/ba/data/courses/292666791.html Syllabus] ===		== [https://www.hse.ru/en/ba/data/courses/292666791.html Syllabus] ==

	'''You can access all information about this course via the [https://sites.google.com/view/introprog19/ website]'''		'''You can access all information about this course via the [https://sites.google.com/view/introprog19/ website]'''
Строка 6:		Строка 6:
	The training course “Algorithms and Data Structures” is offered to students of Bachelor Program “HSE and University of London Double Degree Programme in Data Science and Business Analytics” (area code 01.03.02) at the Faculty of Computer Science of the National Research University — Higher School of Economics (HSE). The course is classified as an compulsory subject (Б.Пр.Б unit / base module,Б.Пр. – Major disciplines of 2019–2020 academic year working сurriculum); it is a two-module course (semester B quartiles 3 and 4). The syllabus is prepared for teachers responsible for the course (closely related disciplines), teaching assistants, students enrolled in the course as well as experts and statutory bodies carrying out assigned or regular accreditations. The course is dedicated to the basics of design and analysis of algorithms. It also involves learning fundamental data structures implemented by the C++ Standard Library (STL). The lectures and practical classes are closely inter-related. The lectures are primarily intended to introduce new topics, whereas the practical classes are intended for solving specific problems by coding programs in C++. Successful completion of “Introduction to Programming” course is the sole prerequisite for being enrolled in this course.		The training course “Algorithms and Data Structures” is offered to students of Bachelor Program “HSE and University of London Double Degree Programme in Data Science and Business Analytics” (area code 01.03.02) at the Faculty of Computer Science of the National Research University — Higher School of Economics (HSE). The course is classified as an compulsory subject (Б.Пр.Б unit / base module,Б.Пр. – Major disciplines of 2019–2020 academic year working сurriculum); it is a two-module course (semester B quartiles 3 and 4). The syllabus is prepared for teachers responsible for the course (closely related disciplines), teaching assistants, students enrolled in the course as well as experts and statutory bodies carrying out assigned or regular accreditations. The course is dedicated to the basics of design and analysis of algorithms. It also involves learning fundamental data structures implemented by the C++ Standard Library (STL). The lectures and practical classes are closely inter-related. The lectures are primarily intended to introduce new topics, whereas the practical classes are intended for solving specific problems by coding programs in C++. Successful completion of “Introduction to Programming” course is the sole prerequisite for being enrolled in this course.

	=== Teachers ===		== Lecturers and Teachers ==

	{\| class="wikitable" style="text-align:center"		{\| class="wikitable" style="text-align:center"
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	\|}		\|}

	=== Grading system ===		== Grading system ==
	Students’ skills are tested using automated testing. This way, a student is assigned an individual task, prepares it by using a personal computer and, then, submits it by using a special service, such as Yandex.Contest or a repository-based tool. The specific solution is subject to further clarification.		Students’ skills are tested using automated testing. This way, a student is assigned an individual task, prepares it by using a personal computer and, then, submits it by using a special service, such as Yandex.Contest or a repository-based tool. The specific solution is subject to further clarification.

NATab в 11:24, 17 января 2020

2020-01-17T11:24:10Z

← Предыдущая версия		Версия от 11:24, 17 января 2020
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	The ongoing assessment grade is accumulated throughout all the classes and is related to a participant’s activity.		The ongoing assessment grade is accumulated throughout all the classes and is related to a participant’s activity.

	''' Ongoing Assessment '''= max([10*((RP + BP)/RP<sub>max</sub>)],10)		''' Ongoing Assessment '''= max([10*((RP + BP)/RP<sub>max</sub>)],10) <br/>
	RP = Regular Points		RP = Regular Points <br/>
	BP = Bonus Points		BP = Bonus Points <br/>