NDAB19001U Reactive and Event Based Systems (REB)

Volume 2022/2023
Content

In this advanced course, you will get the chance to learn about the basics of reactive and event-based systems, as well as research-based technologies for implementing reactive and event-based systems with applications in various areas such as business process management systems, large scale data processing and distributed systems, games, robotics, and IoT.

Concretely, the course will introduce you to active research topics at DIKU with applications in industry that can serve as a basis for a bachelor project. This means that the course curriculum will consist of a number of research papers and online resources.

Learning Outcome

Knowledge within

Two or more of the following topics (depending on the lecturers' research areas):

  • Topic 1 Declarative Process Models and Event-Based systems:

       - Processes and how to model them
       - Declarative vs. imperative process notations
       - Declarative Process Modelling with Dynamic Condition Response Graphs

  • Topic 2
  1.        - Modelling properties of event-based systems as declarative constraints
  2.        - Run-time monitoring of event-based systems with a declarative process engine 
  3.        - Process mining and compliance
     
  •  Topic 3 Message passing models and languages for event based systems:

       - Actors and dataflow network
       - Process calculus 
       - Microservices and reactive systems programming

  •  Topic 4 Event stream processing:
     - Data and programming models for reactive and event stream processing systems
     - Issues of implementing reactive and event stream processing systems

      - Message queues and brokers

 

Skills to 
Do two or more of the following tasks (depending on the lecturers' research areas):

  • Model event-based systems using formal declarative notations.
  • Model properties as declarative constraints and leverage a declarative process engine to control and monitor event-based systems.
  • Build software solutions based on message passing.
  • Build event-driven applications.  

 

Competences to
Do two or more of the following activities (depending on the lecturers' research areas):

  • Apply declarative process technologies to model event-based systems.
  • Apply declarative process technologies to describe properties of and monitor event-based systems.
  • Structure and implement a message passing based application to address a concrete problem scenario.
  • Design and implement applications using event stream processing techniques.  

 See Absalon

It is important that the student has:

-Knowledge of programming as obtained in Programmering og Problemløsning (PoP) and Softwareudvikling (SU).

Knowledge of Discrete Math and basic algorithms and data structures as obtained in Diskret Matematik og Algoritmer (DMA) or Discrete Mathematics and Formal Languages (DMFS).

It is recommended to have knowledge of computer systems at the level of the DIKU course, Computer Systems (CompSys).
Weekly lectures and modelling or programming tasks in groups, 3 mandatory hand-ins (in groups), deadline approximately every 2nd week.
  • Category
  • Hours
  • Lectures
  • 16
  • Preparation
  • 64
  • Theory exercises
  • 16
  • Project work
  • 90
  • Exam Preparation
  • 19
  • Exam
  • 1
  • Total
  • 206
Written
Oral
Continuous feedback during the course of the semester

The students will be able to book online slots for each group to receive feedback during the course and will also get written feedback on mandatory assignments.

 

 

Credit
7,5 ECTS
Type of assessment
Oral examination, 20 min
Type of assessment details
At the exam the student will be asked to give a presentation (8 min) of one of the mandatory assignments, decided at random at the exam. There will not be time for preparation at the exam so presentations of all mandatory assignments should be prepared by the student before the exam. The students are allowed to collaborate in the preparation of presentations of assignments. After the presentation the student will get questions to the presentation and in general within the entire course curriculum.
Exam registration requirements

There will be 3 mandatory assignments (modelling and/or programming tasks) during the course that must be approved in order to be qualified for the exam. 

Aid
All aids allowed

The student is allowed to bring notes, laptop with the assignments (to make demonstrations) and a prepared presentation of each mandatory assignment. 

Marking scale
7-point grading scale
Censorship form
No external censorship
Re-exam

The same as the ordinary exam.

If you are not already qualified for attending the re-exam, you can achieve qualification by handing in the three mandatory assignments no later than three weeks before the re-exam week (and getting these approved).  If you base these on earlier group assignments, it must be made clear what your new contributions are.

Criteria for exam assesment

See Learning Outcome.