Moses - DBTLAB Database Technology Lab

Display language

Diese Modulbeschreibung gilt nicht im aktuellen Semester.

Die Modulbeschreibung gilt nur für den Zeitraum SoSe 2023 - SoSe 2023. Die Version für das aktuelle Semester (SoSe 2024) finden Sie hier: Modulbeschreibung des SoSe 2024

Module / Version:
#40037 / #7

Validity:
SoSe 2023 - SoSe 2023

Default display language:
English

Module title:
DBTLAB Database Technology Lab

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:
Pandey, Varun

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 lab will teach students the fundamentals of data processing in traditional single-node database systems. During the implementation part of the lab, students will get hands-on experience with important data processing techniques (which are used in a variety of systems today) by implementing several components of a relational database system.

Content

In the database technology lab, students will implement several components of a single node relational database system. The actual components to be implemented may vary each year. However, among the prospective components are a parser, a query optimizer, an execution engine, as well as a data storage system and index structures.

Module Components

Pflichtgruppe:

All Courses are mandatory.

Course Name	Type	Number	Cycle	Language	SWS	VZ
DBT - PRA (Database Technology Class - Practice Part)	PR	0434 L 468	WiSe	English	4

Workload and Credit Points

DBT - PRA (Database Technology Class - Practice Part) (PR):

Workload description	Multiplier	Hours	Total
Lab/Project Work (Individual/Group Work)	15.0	10.0h	150.0h
Plenary Meetings	15.0	2.0h	30.0h
			180.0h(~6 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 exercises in small groups to practically rehearse the theory taught in the lectures. In the project, the students will be split in teams and under self-control will implement some components of a database system, with the goal to have a running demonstrator at the end of the semester. The exercises on the various components of a database system will be released in a weekly or bi-weekly manner.

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

This course is the base course for Master's students with a focus on database systems and information management. Students should enroll in this course in the first semester of their Master's program. In contrast to TU Berlin's introductory ISDA (Informationssysteme und Datenanalyse) course, which examines database systems from an application programmer’s point of view, this advanced course focuses on the internals of database systems. To participate, students are required to have successfully completed a Bachelor's in Computer Science with a focus on database systems (e.g., DBPRA Datenbankpraktikum, DBPRO Datenbankprojekt) and have either previously completed DBT or are concurrently enrolled in DBT. Note: Incoming students should possess knowledge in data modeling, relational algebra, and SQL as well as a very good (!!) command of Java programming and the Git version control system, since these are essential and will not be covered in this course.

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) IO handling	35	practical	55 hours
(Deliverable Assessment) Query Execution	30	practical	40 hours
(Deliverable Assessment) Implementation of Database Components	35	practical	55 hours

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 30.

Registration Procedures

Students are required to register for the course in the official TUB examination system within six weeks after commencement of the first lecture or when the first graded assignment is due, whichever happens to be first.

Recommended literature
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
This module is not used in any degree program.

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

DBTLAB Database Technology Lab