COURSE SYLLABUS
Next Generation Web, 6 credits
Nästa generations webb, 6 högskolepoäng
| Course Code: | TNWS28 |
| Confirmed by: | Dean Oct 12, 2017 |
| Valid From: | Jan 1, 2018 |
| Version: | 1 |
| Reg number: | JTH 2017/3949-313 |
| Education Cycle: | Second-cycle level |
| Disciplinary domain: | Technology (95%) and social sciences (5%)
|
| Subject group: | DT1
|
| Specialised in: | A1F
|
| Main field of study: | Informatics |
Intended Learning Outcomes (ILO)
After a successful course, the student shall:
Knowledge and understanding
- demonstatrate an understanding of principles, methods and techniques of next generation web
- demonstrate comprehension of metadata, semantics of information and resources on the web, and personalization of web applications
- demonstrate an understanding of the impact of social sciences on user-centered design in web applications (e.g., recommender systems)
- display knowledge of research trends in the areas relevant for next generation web
Skills and abilities
- demonstrate the ability to apply intelligent mechanisms to gathering and processing the data on the web
- demonstrate skills of design and implementation of prototypes of web applications with semantic and personalization technologies
- demonstrate the ability to analyze and understand theories and findings from social sciences to inform the user-centered design in web applications
Judgement and approach
- demonstrate the ability to choose applicable methods and tools for more advanced and intelligent web applications
Contents
Technologies from many different areas, such as semantic web, data-mining, machine learning, recommendation agents, and artificial intelligence are driving the next generation of web. These technologies emphasize machine-facilitated understanding of information on the web to provide a more productive and intuitive user experience. In this course students will be introduced to the vision of next generation web, as well as, the languages and tools useful for next generation web development. They will understand how the techniques revolutionize the web and its applications.
Type of instruction
The course consists of lectures, assignment and laboratory work.
The teaching is conducted in English.
Prerequisites
Passed courses 180 credits in first cycle, at least 90 credits within the major subject in Informatics, Computer Science, Computer Engineering, Interaction Design (with relevant courses in web programming), and completed course User Experience Design 6 credits (or equivalent). Proof of English proficiency is required (or the equivalent).
Examination and grades
The course is graded 5,4,3 or Fail.
Registration of examination:
| Name of the Test | Value | Grading |
|---|
| Assignments | 3 credits | 5/4/3/U |
| Laboratory work | 3 credits | 5/4/3/U |
Course literature
Literature
Title: Linked Data: Structured Data on the Web
Authors: David Wood, Marsha Zaidman and Luke Ruth
Publisher: Manning Publications
The literature list for the course will be provided one month before the course starts.
