Digital Media and Information Studies 2A INFOSTUD2001

  • Academic Session: 2019-20
  • School: School of Humanities
  • Credits: 20
  • Level: Level 2 (SCQF level 8)
  • Typically Offered: Semester 1
  • Available to Visiting Students: Yes
  • Available to Erasmus Students: Yes

Short Description

This course continues from the foundations laid in the DMIS level 1 courses, to explores the creation, use and impact of digital content and information technology in the arts, humanities and society at large. It brings a human perspective to the issues of the digital age.

Timetable

Lectures: Tuesdays, Thursday at 11am over 10 weeks as scheduled on MyCampus; weekly two 1-hour workshops (choice of times) over 10 weeks as scheduled on MyCampus

Requirements of Entry

A grade D or above in Information Studies 1B.

Excluded Courses

None

Co-requisites

None

Assessment

Exam (90-minutes) - 50%

Practical or essay-based project (1500 words) - 40% 

Participation and contribution in practical sessions and classes (no reassessment possible for this element - Moodle tasks) - 10%

Main Assessment In: December

Course Aims

This course aims to: 

■ build on the foundations laid in the first year of DMIS and introduce new concepts and applications;

■ explore information theory and structures;

■ introduce students to methods and applications of information management within professional criteria;

■ provide students with transferable skills in approaches to technology, critical analysis, problem solving across the arts and cultural heritage sector.

Intended Learning Outcomes of Course

By the end of this course students will be able to:

■ explain the principles of information management with respect to cataloguing, metadata and retrieval;

■ describe the concepts behind and explain the technologies underlying the web;

■ relate the stages of design, development and evaluation and the relationship between them;

■ explain the importance of and describe the processes of digital curation/preservation;

■ explain how existing and emerging expert systems and artificial intelligence techniques are used.

Minimum Requirement for Award of Credits

Students must submit at least 75% by weight of the components (including examinations) of the course's summative assessment.