EPN-V2

ACIT4410 Agile Service Delivery and Developer Operations Emneplan

Engelsk emnenavn
Agile Service Delivery and Developer Operations
Studieprogram
Master's Programme in Applied Computer and Information Technology
Omfang
10.0 stp.
Studieår
2022/2023
Pensum
HØST 2022
Timeplan
Programplan
Emnehistorikk

Innledning

The final grade will be based on:

  • Individual student presentation of 15 minutes (20% of the final grade)
  • One individually written evaluation of another student presentation (500-1000 words) (10% of the final grade)
  • Individual final project report (between 6000 and 11,000 words) (70% of the final grade)

All three exams must be passed in order to pass the course.

The oral examination cannot be appealed.

 

New/postponed exam

In case of failed exam or legal absence, the student may apply for a new or postponed exam. New or postponed exams are offered within a reasonable time span following the regular exam. The student is responsible for registering for a new/postponed exam within the time limits set by OsloMet. The Regulations for new or postponed examinations are available in Regulations relating to studies and examinations at OsloMet.

Forkunnskapskrav

Grade scale A-F.

Læringsutbytte

Two internal examiners. External examiner is used periodically.

Innhold

The beginning of the course will focus of familiarizing oneself with the technologies used in building and delivering high-volume services. This will include containers and similar technologies, load balancing, automated testing and revision control systems. The students will put these technologies to the test in exercises in our lab environment.

All of the presented topics are relevant for the project which the students will work on and are continuously revised to be close to current industry practices. The focus is on providing an essence of each topic, which allows the student to get a large overview of the state-of-the-art of modern service delivery. The projects allow students to go deeper on a select set of technologies from the initial overview and apply them on a specific case.

Arbeids- og undervisningsformer

Associate Professor Henrik Lieng

Arbeidskrav og obligatoriske aktiviteter

A background in programming, machine learning, and linear algebra is an advantage. Knowledge of computer graphics and image processing is preferable, but not strictly required.

Vurdering og eksamen

  • Introduction to geometric modelling
  • Convolutional neural networks in 3D
  • Deep learning for point clouds
  • Convolutional neural networks on graphs
  • 3D synthesis and analysis
  • Joint embedding for images and 3D data

Hjelpemidler ved eksamen

All aids are permitted.

Vurderingsuttrykk

Grade scale A-F.

Sensorordning

Two internal examiners. External examiner is used periodically.

Emneansvarlig

Associate Professor Kyrre Begnum