Siirry suoraan sisältöön

Sensoripohjaiset mobiilisovellukset (15 cr)

Code: TX00CK66-3005

General information


Enrollment

02.05.2019 - 01.09.2019

Timing

26.08.2019 - 13.10.2019

Number of ECTS credits allocated

15 op

Mode of delivery

Contact teaching

Unit

(2016-2018) Tieto- ja viestintätekniikka

Campus

Leiritie 1

Teaching languages

  • English

Seats

0 - 40

Degree programmes

  • Degree Programme in Information Technology
  • Tieto- ja viestintätekniikan tutkinto-ohjelma

Teachers

  • Jarkko Vuori
  • Ulla Sederlöf
  • Patrick Ausderau
  • Kari Salo

Groups

  • ICT17-M
    Mobile Solutions

Objective

This course will provide skills and methods in designing and developing native mobile applications a for major mobile platform utilizing also sensors.

Content

• Android programming
• Advanced Android programming
• Sensor interfaces and APIs
• Usability and user experience
• Android project

Materials

https://developer.android.com/

Teaching methods

* Lecture and Lab
* Pair (= 2 people) project

Exam schedules

Absolute deadline to show any missing lab: 23.09 from 14:00 to 17:00 (but try to show them on regular basis)
Exam: 24.09 at 8:00
Resit: 11.10 at 8:00
Project presentation: 11.10 at 12:00

Student workload

Week 1-4: theory and lab
Week 5-7: project (exam, final presentation)

Content scheduling

Week 1: Kotlin, App architecture, UI, Networking, async/retrofit 2, notification/toast/snackbar,...
Week 2: internal and external sensors, Bluetooth, camera, speakers, mic, API (Map, location,...),...
Week 3: data, live data, room, internal/external storage, preferences/settings, content providers,...
Week 4: AR, ARcore, Sceneform, 3D-models, OpenGL,...
Week 5: testing, Git integration, final check (missing labs,...), exam, project intro,...
Week 5-7: Project.
* Mondays: weekly TODO/feature list
* Fridays: Code & UI review and Peer testing and feedback

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

Working Android application which implements the basic functionalities and user experience.

Assessment criteria, good (3)

Android application which utilises sensors.

Assessment criteria, excellent (5)

Advanced Android application which introduces a good user experience.

Assessment methods and criteria

* Lab 20%
- Grade 1 = 50% of the labs done, grade 5 = all labs done.
- Labs: teachers check (no Oma-assignments)
* Exam 30%
- All theory from weeks 1-4
- Grade 1 = 50 points out of 100.
* Project 50%
- Idea
- Working app
- Design/UI/UX
- Code
- Doc (github readme)
- Peer and self review
To pass the course, you must get at least grade 1 form lab, grade 1 from exam and grade 1 from project. In other words, failing one of them (lab, exam or project) = failing the course.

Qualifications

Object oriented programming concepts
Usability basic concepts