Moses - DBT Database Technology

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Module / Version:
#40405 / #11

Validity:
Seit SoSe 2023

Default display language:
English

Module title:
DBT Database Technology

Credits:
6

Responsible person:
Markl, Volker

Grading:
benotet

Type of exam:
Portfolioprüfung

Zugehörigkeit

Faculty:
Fakultät IV

Institute:
Institut für Softwaretechnik und Theoretische Informatik

Area of expertise:
34351500 FG Datenbanksysteme und Informationsmanagement (DIMA)

Prüfungsausschuss:
No information

Kontakt

Office:
EN 7

Contact person:
Zeuch, Steffen

E-mail address:
sekr@dima.tu-berlin.de

Website:

https://www.tu.berlin/dima

Learning Outcomes

The global data volume is increasing dramatically each year. Understanding how to store, process and manage these huge amounts of data efficiently is a key requirement for software engineers and data analysts in the modern IT world. This course will teach students both the fundamentals of data processing in traditional single-node database systems and how to scale out these techniques to huge amounts of data in large-scale, distributed environments.

Content

The database technology course will teach the students about the internals of a database management system. The students will learn the fundamentals of database technology for relational database systems. This includes the general architecture of a DBMS, file- and buffer management, data layouts and representation, caching and indexing, index structures, query processing, metadata management, query optimization, locking, recovery and transaction management.

Module Components

Pflichtteil:

All Courses are mandatory.

Course Name	Type	Number	Cycle	Language	SWS	VZ
DBT: Database Technology	IV	0434 L 431	WiSe	English	4

Workload and Credit Points

DBT: Database Technology (IV):

Workload description	Multiplier	Hours	Total
Lecture Preparation	10.0	3.0h	30.0h
Lecture	10.0	4.0h	40.0h
			70.0h(~3 LP)

Course-independent workload:

Workload description	Multiplier	Hours	Total
Theoretical Exercises	10.0	4.0h	40.0h
Programming Exercises	2.0	15.0h	30.0h
Prepare for Written Test	1.0	40.0h	40.0h
			110.0h(~4 LP)

The Workload of the module sums up to 180.0 Hours. Therefore the module contains 6 Credits.

Description of Teaching and Learning Methods

Lectures are accompanied by individual exercises to practically rehearse the theory taught in the lectures. The course will also consist of two programming exercises. The course will be offered in English.

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

Students with interest in databases and information systems who have successfully completed "Informationssysteme und Datenanalyse" and "DBPRA (Datenbankpraktikum)" or their respective course equivalences.

Mandatory requirements for the module test application:

This module has no requirements.

Module completion

Grading

graded

Type of exam

Portfolio examination

Type of portfolio examination

100 Punkte insgesamt

Language

English

Test elements

Name	Points	Categorie	Duration/Extent
(Deliverable Assessment) Theoretical Exercises	30	written	4 hours per exercise
(Deliverable Assessment) Programming Exercises	20	practical	15 hours per exercise
(Examination) Written Test	50	written	60 minutes

Grading scale

Notenschlüssel »Notenschlüssel 2: Fak IV (2)«

Gesamtpunktzahl	1.0	1.3	1.7	2.0	2.3	2.7	3.0	3.3	3.7	4.0
100.0pt	95.0pt	90.0pt	85.0pt	80.0pt	75.0pt	70.0pt	65.0pt	60.0pt	55.0pt	50.0pt

Test description (Module completion)

The final grade according to § 68 (2) AllgStuPO will be calculated with the faculty grading table 2. (Die Gesamtnote gemäß § 68 (2) AllgStuPO wird nach dem Notenschlüssel 2 der Fakultät IV ermittelt.)

Duration of the Module

The following number of semesters is estimated for taking and completing the module:
1 Semester.

This module may be commenced in the following semesters:
Wintersemester.

Maximum Number of Participants

The maximum capacity of students is 60.

Registration Procedures

Recommended literature
J. Gray, A. Reuter: Transaction Processing, Morgan Kaufman, 1993.
R. Elmasri und S.B. Navathe: Fundamentals of Database Systems, Benjamin Cummings (Deutsche Übersetzung: “Grundlagen von Datenbanksystemen,“ Pearson, 2002).
T. Özsu und P. Valduriez: Principles of Distributed Database Systems, Prentice Hall, 1999.
Hector Garcia-Molina, Jeffrey D. Ullman, Jennifer Widom: Database Systems - The Complete Book, Pearson Prentice Hall, 2009.

Assigned Degree Programs

Semester:

Zeige auch ausgelaufene Studiengänge und StuPOs

This module is used in the following Degree Programs (new System):

Studiengang / StuPO	StuPOs	Verwendungen	Erste Verwendung	Letzte Verwendung
Computational Engineering Science (Informationstechnik im Maschinenwesen) (B. Sc.)	1	3	SoSe 2023	SoSe 2024
Computer Engineering (M. Sc.)	1	6	SoSe 2023	SoSe 2024
Computer Science (Informatik) (M. Sc.)	1	9	SoSe 2023	SoSe 2024
Elektrotechnik (M. Sc.)	1	6	SoSe 2023	SoSe 2024
Elektrotechnik/Informationstechnik als Quereinstieg (Lehramt) (M. Ed.)	2	6	SoSe 2023	SoSe 2024
ICT Innovation (M. Sc.)	1	15	SoSe 2023	SoSe 2024
Informationstechnik (Lehramt) (B. Sc.)	2	6	SoSe 2023	SoSe 2024
Informationstechnik (Lehramt) (M. Ed.)	2	6	SoSe 2023	SoSe 2024
Information Systems Management (Wirtschaftsinformatik) (M. Sc.)	1	6	SoSe 2023	SoSe 2024
Medieninformatik (M. Sc.)	1	3	SoSe 2023	SoSe 2024
Medientechnik (M. Sc.)	1	4	WiSe 2023/24	SoSe 2024
Wirtschaftsingenieurwesen (M. Sc.)	1	3	SoSe 2023	SoSe 2024

This module is suitable for Master’s students in Computer Science, Computer Engineering, Information Systems Management, and Industrial Engineering who are interested in database systems and information management. In particular, those students who are pursuing the Data Science and Engineering Track: https://www.tu.berlin/en/dima/analytics/data-science-and-engineering-track.

Miscellaneous

No information

DBT Database Technology