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Course overview

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ECTS Credits	5 cr
Language of instruction	FI. In English.
Timing	Spring, periods 3-4
Learning outcomes	1. Ability to implement mobile user interfaces 2. Ability to implement online social network applications 3. Ability to explain the fundamental concepts of context awareness 4. Ability to explain the fundamental concepts of online communities
Contents	Mobile interface design and implementation, mobile sensor acquisition, context awareness, social platforms, crowdsourcing, online communities, graph theory.
Mode of delivery	Face to face teaching + independent work.
Learning activities and teaching methods	Lectures, exercises, and practical work. The course is passed with an approved practical work. The implementation is fully English.
Target group	Computer Science and Engineering students and other Students of the University of Oulu.
Prerequisites and co-requisites	Object oriented programming.
Recommended optional programme components	The course is an independent entity and does not require additional studies carried out at the same time.
Recommended or required reading	All necessary material will be provided by the instructor.
Assessment Methods and criteria	The assessment is project-based. Students have to complete individual assignments throughout the semester and a final pair-based project: build a mobile application, conduct or analysis of data. Passing criteria: the assignments and the project must be must be completed, receiving more than 50% of the available points. Read more about assessment criteria at the University of Oulu webpage.
Grading	The course unit utilizes a numerical grading scale 1-5. In the numerical scale zero stands for a fail.
Person responsible	Teixeira Ferreira Denzil
Work placements	None.
Proficiency level	English B2 - C2

This course is designed to give students an overview of the mobile and social computing domain, conceptualize the fundamental aspects of this domain, and provide practical experience in building such applications. The course is aimed at masters and bachelor level students. Upon completing the course the student is able to implement mobile user interfaces, implement online social network applications, explain the fundamental concepts of context awareness and online communities. The course is passed with an approved practical work. This course is taught only in English.

Instructors

Denzil Ferreira
Aku Visuri (assistant)
Juan Camilo (assistant)
Chu Luo (assistant)
Zhanna Sarenbayeva (assistant)

Topics

Mobile computing

Mobile UI design: design principles, examples, tools, and mistakes to avoid.
Mobile sensor and data acquisition: data collection on Android.
Context awareness: context definition, tools and middleware.
Future cities, IoT and big-data applications.

Social computing

Online community studies: encouraging contribution, controlling behaviour.
Facebook applications: Facebook API, tools, examples.
Crowdsourcing: Mechanical Turk, tools, filters, examples.
Social data analysis: graph theory fundamentals, graph analysis.

Assessment

There is no exam for this course. All assessment is based on exercises completed by the students, and regular attendance in theory and practice sessions is required. To pass, a student must complete 5 individual assignments and a pair-based project. The project this year is: