BSc: Advanced Databases - Revision history

R.sirgalina at 09:21, 12 July 2022

2022-07-12T09:21:11Z

M.petrishchev: M.petrishchev moved page BSc:AdvancedDatabases to BSc: Advanced Databases

2022-04-18T08:30:09Z

M.petrishchev moved page BSc:AdvancedDatabases to BSc: Advanced Databases

← Older revision	Revision as of 08:30, 18 April 2022
(No difference)

M.petrishchev: M.petrishchev moved page BSc:AdvancedDatabases.S22 to BSc:AdvancedDatabases over redirect

2022-04-03T13:37:48Z

M.petrishchev moved page BSc:AdvancedDatabases.S22 to BSc:AdvancedDatabases over redirect

← Older revision	Revision as of 13:37, 3 April 2022
(No difference)

M.petrishchev at 06:47, 3 March 2022

2022-03-03T06:47:42Z

Show changes

R.akhmetzyanov at 11:22, 14 February 2022

2022-02-14T11:22:23Z

@@ Line 31: / Line 31: @@
 * Introduction to Programming II
-=== Course outline ===
+=== Key concepts of the class ===
 Data Modelling and Databases I and II mostly focus on the relational model, its design and the implementation details of RDBMS. This course is focused on alternative paradigms, generally defined under the hat of NoSQL, and parallel and distributed architectures with all the theoretical and practical consideration of the case.
@@ Line 66: / Line 66: @@
 * MapReduce
 === Reference and referecnce material ===
@@ Line 82: / Line 101: @@
 Students should have laptops.
-=== Evaluation ===
+== Course Sections ==

R.akhmetzyanov at 10:23, 14 February 2022

2022-02-14T10:23:52Z

← Older revision		Revision as of 10:23, 14 February 2022
Line 66:		Line 66:
	* MapReduce		* MapReduce

⚫	=== Textbook ===

⚫	*
⚫	*

	=== Reference and referecnce material ===		=== Reference and referecnce material ===
Line 75:		Line 72:
	* Lecturing and lab slides and material will be provided		* Lecturing and lab slides and material will be provided
	* Several resources are available online and will be pointed during the course		* Several resources are available online and will be pointed during the course
		+
		⚫	==== Textbook ====
		+
		⚫	*
		⚫	*

	=== Required computer resources ===		=== Required computer resources ===

R.akhmetzyanov: /* Reference material */

2022-02-14T10:23:22Z

Reference material

← Older revision		Revision as of 10:23, 14 February 2022
Line 71:		Line 71:
	*		*

−	=== Reference material ===	+	=== Reference and referecnce material ===

	* Lecturing and lab slides and material will be provided		* Lecturing and lab slides and material will be provided

R.akhmetzyanov at 10:20, 14 February 2022

2022-02-14T10:20:29Z

← Older revision		Revision as of 10:20, 14 February 2022
Line 5:		Line 5:
	* <span>'''Knowledge area:'''</span> Data Science		* <span>'''Knowledge area:'''</span> Data Science

		+	== Course characteristics ==
⚫	== Administrative details ==
		+
		⚫	=== Administrative details ===

	* <span>'''Faculty:'''</span> Computer Science and Engineering		* <span>'''Faculty:'''</span> Computer Science and Engineering
Line 19:		Line 21:
	* <span>'''Grading mode:'''</span> letters: A, B, C, D		* <span>'''Grading mode:'''</span> letters: A, B, C, D

−	== Prerequisites ==	+	=== Prerequisites ===

	* Data Modelling and Databases I		* Data Modelling and Databases I
Line 29:		Line 31:
	* Introduction to Programming II		* Introduction to Programming II

−	== Course outline ==	+	=== Course outline ===

	Data Modelling and Databases I and II mostly focus on the relational model, its design and the implementation details of RDBMS. This course is focused on alternative paradigms, generally defined under the hat of NoSQL, and parallel and distributed architectures with all the theoretical and practical consideration of the case.		Data Modelling and Databases I and II mostly focus on the relational model, its design and the implementation details of RDBMS. This course is focused on alternative paradigms, generally defined under the hat of NoSQL, and parallel and distributed architectures with all the theoretical and practical consideration of the case.

−	== Expected learning outcomes ==	+	=== Expected learning outcomes ===

	* Devise appropriate ways to store and index data		* Devise appropriate ways to store and index data
Line 41:		Line 43:
	* Understanding parallel and distributed databases		* Understanding parallel and distributed databases

−	== Expected acquired core competences ==	+	=== Expected acquired core competences ===

	* Software Design		* Software Design
Line 64:		Line 66:
	* MapReduce		* MapReduce

−	== Textbook ==	+	=== Textbook ===

	*		*
	*		*

−	== Reference material ==	+	=== Reference material ===

	* Lecturing and lab slides and material will be provided		* Lecturing and lab slides and material will be provided
	* Several resources are available online and will be pointed during the course		* Several resources are available online and will be pointed during the course

−	== Required computer resources ==	+	=== Required computer resources ===

	Students should have laptops.		Students should have laptops.

−	== Evaluation ==	+	=== Evaluation ===

	* Assignments and project (30%)		* Assignments and project (30%)

I.konyukhov: I.konyukhov moved page BSc:AdvancedDatabases to BSc:AdvancedDatabases.S22

2021-11-07T09:11:42Z

I.konyukhov moved page BSc:AdvancedDatabases to BSc:AdvancedDatabases.S22

← Older revision	Revision as of 09:11, 7 November 2021
(No difference)

10.90.136.10: Created page with "= Advanced Databases = * '''Course name:''' Advanced Databases * '''Course number:''' XYZ * '''Knowledge area:''' Data Science == Admi..."

2021-07-30T09:53:47Z

Created page with "= Advanced Databases = * '''Course name:''' Advanced Databases * '''Course number:''' XYZ * '''Knowledge area:''' Data Science == Admi..."

New page

= Advanced Databases =

* '''Course name:''' Advanced Databases
* '''Course number:''' XYZ
* '''Knowledge area:''' Data Science

== Administrative details ==

* '''Faculty:''' Computer Science and Engineering
* '''Year of instruction:''' 4th year of BS
* '''Semester of instruction:''' 2nd semester
* '''No. of Credits:''' 4 ECTS
* '''Total workload on average:''' 144 hours overall
* '''Class lecture hours:''' 2 per week
* '''Class tutorial hours:''' 0 per week
* '''Lab hours:''' 4 per week
* '''Individual lab hours:''' 0
* '''Frequency:''' weekly throughout the semester
* '''Grading mode:''' letters: A, B, C, D

== Prerequisites ==

* Data Modelling and Databases I
* Data Modelling and Databases II
* Data Structures and Algorithms I
* Data Structures and Algorithms II
* Discrete Math and Logic
* Introduction to Programming I
* Introduction to Programming II

== Course outline ==

Data Modelling and Databases I and II mostly focus on the relational model, its design and the implementation details of RDBMS. This course is focused on alternative paradigms, generally defined under the hat of NoSQL, and parallel and distributed architectures with all the theoretical and practical consideration of the case.

== Expected learning outcomes ==

* Devise appropriate ways to store and index data
* Use persistency tools in the context of modern software architectures and the Cloud
* Understanding of NoSQL and CAP theorem
* Fluency with Graph DB and relatd query languages
* Understanding parallel and distributed databases

== Expected acquired core competences ==

* Software Design
* Software Engineering
* Software Construction
* Relational Databases
* Data Modeling
* Database Design
* Database Systems
* Query Languages: Implementation and Optimization
* Implementation of Database Systems
* Indexing
* Information Storage and Retrieval
* NoSQL
* Document-based databases
* Graph databases
* Non-relational query languages
* Theory of distributed systems
* Algorithms for distributed systems
* CAP theorem
* Parallel and distributed databases
* MapReduce

== Textbook ==

*
*

== Reference material ==

* Lecturing and lab slides and material will be provided
* Several resources are available online and will be pointed during the course

== Required computer resources ==

Students should have laptops.

== Evaluation ==

* Assignments and project (30%)
* Mid-term Exam (30 %)
* Written Final (40%)