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#40103 / #9

WiSe 2021/22 - WiSe 2022/23

English

Cloud Native Architecture and Engineering

6

Tai, Stefan

benotet

Portfolioprüfung

Zugehörigkeit


Fakultät IV

Institut für Wirtschaftsinformatik und Quantitative Methoden

34361400 FG Wirtschaftsinformatik - Information Systems Engineering (ISE)

No information

Kontakt


EN 14

Junker, Ariane Helene Renate

lehre@ise.tu-berlin.de

Learning Outcomes

Students understand the principles of architecting and engineering cloud-native systems. They are familiar with architectural opportunities and constraints that the cloud offers and imposes and are able to competently assess, select, and apply fitting technologies to meet given functional and non-functional requirements.

Content

Cloud Native Architecture is about adapting software architectures to the cloud model and its opportunities and constraints. The cloud provides different services and programming and runtime models to meet non-functional requirements as opposed to traditional on-premises solutions that enable novel engineering approaches. A well-architected cloud-native system is elastic, observable, reslient, cost-efficient, and easily manageable through continuous software engineering methods and processes. This course covers respective principles, technologies, and application examples. Non-technical challenges such as organizational and management objectives as well as compliance to regulatory frameworks are also studied.

Module Components

Pflichtgruppe:

All Courses are mandatory.

Course NameTypeNumberCycleLanguageSWSVZ
Cloud Native Architecture and EngineeringIV0435 L 336WiSeEnglish4

Workload and Credit Points

Cloud Native Architecture and Engineering (IV):

Workload descriptionMultiplierHoursTotal
Lecture and Lab Time (may be offered online)15.04.0h60.0h
Preparation and rework15.08.0h120.0h
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

Lecture and lab course.

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

- Knowledge about distributed systems fundamentals - Knowledge about software engineering fundamentals - Solid programming skills

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

NamePointsCategorieDuration/Extent
(Ergebnisprüfung) Assignment30practicalca. 40 h
(Punktuelle Leistungsabfrage) Written Test 130written40 min
(Punktuelle Leistungsabfrage) Written Test 240written45 min

Grading scale

Notenschlüssel »Notenschlüssel 2: Fak IV (2)«

Gesamtpunktzahl1.01.31.72.02.32.73.03.33.74.0
100.0pt95.0pt90.0pt85.0pt80.0pt75.0pt70.0pt65.0pt60.0pt55.0pt50.0pt

Test description (Module completion)

No information

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 50.

Registration Procedures

Will be announced during the first lecture.

Recommended reading, Lecture notes

Lecture notes

Availability:  unavailable

 

Electronical lecture notes

Availability:  available
Additional information:
lecture slides

 

Literature

Recommended literature
No recommended literature given

Assigned Degree Programs


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

Studiengang / StuPOStuPOsVerwendungenErste VerwendungLetzte Verwendung
This module is not used in any degree program.

Miscellaneous

No information