184.742 Advanced Services Engineering
Diese Lehrveranstaltung ist in allen zugeordneten Curricula Teil der STEOP.
Diese Lehrveranstaltung ist in mindestens einem zugeordneten Curriculum Teil der STEOP.

2015S, VU, 2.0h, 3.0EC
TUWEL

Merkmale

  • Semesterwochenstunden: 2.0
  • ECTS: 3.0
  • Typ: VU Vorlesung mit Übung

Ziele der Lehrveranstaltung

The objective of this course is to introduce new concepts and techniques for developing and engineering advanced services in emerging distributed computing systems including IoT (Internet of Things), software-based and human-based services.  In this course, we will introduce concepts of IoT and cloud platforms for IoT, data-as-a-service, data concerns, data market places and techniques for developing data intensive services by utlizing data services with compute services in cloud environments.  Furthermore, we will investigate human-based services in engineering advanced data analytics and how to combine them with data and compute services.

The course will provide hand-on experiences via real-world exercises and mini programming projects. The course will provide a great interaction between students and the instructor.

Inhalt der Lehrveranstaltung

  1. Course Overview
    • Goal: Introduce the course and grading system.
    • Lecture time: 1 hour
  2. Emerging dynamic distributed systems and challenges for advanced services engineering
    • Goal: introducing the context of the computing systems in the course and problems in advanced services engineering
    • Lecture time: 2 hours
    • Student self-study time: 3 hours
  3. IoT and Cloud Platforms
      • Goal: discuss Internet of Things (IoT) and cloud platforms for IoT
      • Lecture time: 2 hours
      • Student self-study time: 3 hours
      • Assignment: 2 hours

     

  4. Data-as-a-Service concepts
    • Goal: discuss data-as-a-service concepts
    • Lecture time: 2 hours
    • Student self-study time: 3 hours
    • Assignment: 2 hours
  5. Data concerns & Data Concern Evaluation
    • Goal: introduce data concerns and their roles in data analytics service engineering
    • Lecture time: 2 hours
    • Student self-study: 3 hours
    • Assignment time: 2 hours
  6. Data marketplace models and concepts
    • Goal: overview data marketplaces and their service ecosystems
    • Lecture time: 2 hours
    • Student self-study: 3 hours
    • Assignment: 2 hours
  7. Discussion of assigments
    • Goal: Reporting, questions and answers for 4 assignments
    • Lecture time: 3 hours
  8. Advanced service-based data analytics: concepts and designs
    • Goal: present and discuss concepts and designs of advanced service-based data analytics
    • Lecture time: 2 hours
    • Student self-study: 3 hours
    • Mini projects: 4 hours
  9. Quality of data -aware data analytics workflows
    • Goal: discuss quality of data aware analytics workflows
    • Lecture time: 2 hours
    • Student self-study: 3 hours
    • Mini projects: 4 hours
  10. Engineering human-based services in data analytics
    • Goal: discuss human-based services and how to utilize them in data analytics
    • Lecture time: 2 hours
    • Student self-study: 3 hours
    • Mini projects: 3 hours
  11. Mini projects reporting
    • Lecture time: 2 hours
    • Student prepration: 2 hours
  12. Final oral examination
    • Lecture time: 8 hours

Vortragende Personen

Institut

LVA Termine

TagZeitDatumOrtBeschreibung
Fr.10:00 - 12:0006.03.2015 - 26.06.2015 Lecture & Discussion
Fr.10:00 - 12:0013.03.2015Hörsaal 14 Vorlesung (Ersatzort)
Advanced Services Engineering - Einzeltermine
TagDatumZeitOrtBeschreibung
Fr.06.03.201510:00 - 12:00 Lecture & Discussion
Fr.13.03.201510:00 - 12:00 Lecture & Discussion
Fr.13.03.201510:00 - 12:00Hörsaal 14 Vorlesung (Ersatzort)
Fr.27.03.201510:00 - 12:00 Lecture & Discussion
Fr.17.04.201510:00 - 12:00 Lecture & Discussion
Fr.24.04.201510:00 - 12:00 Lecture & Discussion
Fr.08.05.201510:00 - 12:00 Lecture & Discussion
Fr.22.05.201510:00 - 12:00 Lecture & Discussion
Fr.29.05.201510:00 - 12:00 Lecture & Discussion
Fr.12.06.201510:00 - 12:00 Lecture & Discussion
Fr.19.06.201510:00 - 12:00 Lecture & Discussion
Fr.26.06.201510:00 - 12:00 Lecture & Discussion

Leistungsnachweis

The total marks for this course is 100 points

  • Participation and discussion: 10 points
  • Course assignments: 40 points
  • Programming mini projects: 20 points
  • Final oral examination: 30 points

Grading mapping

  • 90-100 points ; 1 (Sehr gut)
  • 75-89  points               :  2 (Gut)
  • 56 - 74  points            :   3 (Befriedigend)
  • 40-55    point           :   4  (Genügend )                   
  • 0-40 points     :   5  (Nicht Genügend)

LVA-Anmeldung

Von Bis Abmeldung bis
16.02.2015 23:59 04.03.2015 23:59 13.03.2015 23:59

Zulassungsbedingung

Voraussetzung für die Anmeldung ist eine Fortmeldung zu einem der folgenden Studien:

Curricula

Literatur

Es wird kein Skriptum zur Lehrveranstaltung angeboten.

Vorkenntnisse

It is expected that students have finished courses in distributed systems and advanced internet computing.

Weitere Informationen

Sprache

Englisch