PV180 Social informatics project

Faculty of Informatics
Spring 2017
Extent and Intensity
0/2. 2 credit(s) (plus extra credits for completion). Recommended Type of Completion: k (colloquium). Other types of completion: z (credit).
RNDr. Jaromír Plhák, Ph.D. (lecturer)
prof. PhDr. David Šmahel, Ph.D. (assistant)
Guaranteed by
doc. RNDr. Aleš Horák, Ph.D.
Department of Machine Learning and Data Processing - Faculty of Informatics
Contact Person: doc. RNDr. Ivan Kopeček, CSc.
Supplier department: Department of Machine Learning and Data Processing - Faculty of Informatics
Tue 10:00–11:50 C416
PV262 Research methods in social inf || SOUHLAS
It is expected that students propose their own topics for their projects.
Basic knowledge in the field of social informatics is expected (SIN01). The basic level of knowledge of methodology of conducting an empirical study is required as well (PV262).
Previous undertaking of PV072 is welcomed, especially in case you will work on project in the field of assistive technologies. Previous undertaking of PV182 is welcomed, especially in case you will work on project in the field of human-computer interaction.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
Fields of study the course is directly associated with
there are 34 fields of study the course is directly associated with, display
Course objectives
The aim of the seminar is to provide students with a deeper knowledge concerning a chosen area of social informatics and practical checking of this knowledge by working on the project. Students are encouraged to implement an application in arbitrary programming language, conduct a qualitative or quantitative survey, conduct a simulation experiment, or develop a user interface prototype
At the end of the course students should be able to analyze chosen topic in the field of social informatics and develop individual project.
  • 1) Introduction to the seminar. Discussion about the seminar content and students’ expectations.
  • 2) Short presentation of students’ topics and chosen technologies. Discussion about the objectives of each project.
  • 3) Proposal of the schedule.
  • 4-7) Individual work on projects.
  • 8) Presentation of practical output.
  • 9-12) Individual work on projects.
  • 13) Project defense.
  • COOK, Albert M. and Janice MILLER POLGAR. Assistive Technologies (Fourth Edition) - Principles and Practice. 2015. ISBN 978-0-323-09631-7. info
  • GILBERT, G. Nigel and Klaus G. TROITZSCH. Simulation for the social scientist. 2nd ed. Maidenhead: Open University Press, 2005. xi, 295. ISBN 0335216005. info
  • KLING, Rob, Howard ROSENBAUM and Steve SAWYER. Understanding and communicating social informatics : a framework for studying and teaching the human contexts of information and communication technologies. 1st Print. Medford, New Jersey: Information Today, 2005. xx, 216. ISBN 1573872288. info
  • MANN, Chris and Fiona STEWART. Internet communication and qualitative research : a handbook for researching online. London: Sage Publications, 2000. x, 258. ISBN 0761966277. info
  • PREECE, Jenny. Human computer interaction. Harlow: Addison-Wesley, 1994. xxxviii, 7. ISBN 0-201-62769-8. info
Teaching methods
Lectures, group projects and class discussions.
Assessment methods
Defense of the project. Evaluation is based on presentation of final project results. The more detailed information about the project topics and deadlines is given in the beginning of the seminar.
Language of instruction
Further Comments
Study Materials
The course is taught annually.
The course is also listed under the following terms Spring 2006, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2015, Spring 2018, Spring 2019, Spring 2020.
  • Enrolment Statistics (Spring 2017, recent)
  • Permalink: https://is.muni.cz/course/fi/spring2017/PV180