Checking date: 15/06/2021


Course: 2021/2022

Creativity II: trends and new media
(17116)
Study: Master in Advertising Communication (326)
EPH


Coordinating teacher: LADO COUSTE, NORA RITA

Department assigned to the subject: Institute for the Development of Enterprises and Markets (INDEM)

Type: Compulsory
ECTS Credits: 3.0 ECTS

Course:
Semester:




Requirements (Subjects that are assumed to be known)
Ninguna
Objectives
COMPETENCES CB7, That students know how to apply the acquired knowledge and their ability to solve problems in new or unfamiliar environments within broader (or multidisciplinary) contexts related to their area of study. CG2, To understand the functioning of creative processes in advertising communication. CG5, To know the new trends in advertising communication according to the changes of the digital society. CE4, To plan emerging actions in the field of new advertising communication. CE9, To develop and manage advertising productions aimed at traditional media and multimedia. LEARNING OUTCOMES To provide learning of the creative sequence in advertising and creative formats. To provide knowledge about problem-solving techniques applied to the elaboration of advertising messages. To analyze creativity in conventional and interactive media. Learning of the techniques that allow the development of effective texts in the new communicative environment, formed by messages mostly multimedia and hosted on online platforms.
Skills and learning outcomes
Description of contents: programme
BLOCK 1: Introduction. New trends. Hyperconnected scenario. Digital advertising. Use of video and streaming. Social media. Interactivity. Digital marketing. Inbound marketing. Growth Hacking. BLOCK 2: Advertising strategies: wearables and devices, sensors, geolocation campaign management. Mobile marketing. Different realities and narratives. BLOCK 3: Marketing data: data management, segmentation and users, measurement, machine learning and recommendation engines Application of the customer journey. BLOCK 4 Artificial Intelligence and process automation: design of campaigns with bots, Natural Language Processing, virtual assistants. RRSS monitoring.
Learning activities and methodology
LEARNING ACTIVITIES Theoretical classes Practical classes Tutoring Group work Individual work TEACHING METHODOLOGY -Lectures in class by the lecturer with the support of audiovisual media, in which the main concepts of the course will be developed. Bibliography will be provideed in order to complement the knowledge of the students. -Critical review of readings and audiovisual material suggested by the lecturer: press articles, videos, advertising campaigns, reports, manuals and academic articles, either for class' discussion or for students to amplify and consolidate the courses's content. -Resolution of advertising and communication case studies posed by the lecturer, in an individual or group manner. -Presentation and discussion in class, under the lecturer's moderation, of topics related to the course as well as case studies. -Assignments and reports done by students in an indivisual or group manner.
Assessment System
  • % end-of-term-examination 30
  • % of continuous assessment (assigments, laboratory, practicals...) 70
Basic Bibliography
  • Damian Ryan. Understanding Digital Marketing, . 3rd Edition. Kogan Page .. 2014
  • John Lovett . Social Media Metrics Secrets. Wiley. 2011
  • Karen Freberg . Social Media for Strategic Communication: Creative Strategies and Research-Based Applications. Sage Publishing. 2018
  • Simon Kingsnorth . Digital Marketing Strategy . Kogan Page . 2016
  • Wasserman, Stanley . Análisis de redes sociales : métodos y aplicaciones. CIS . 2013

The course syllabus may change due academic events or other reasons.