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Analytics Communication and Management

2021/2022
Учебный год
ENG
Обучение ведется на английском языке
4
Кредиты
Статус:
Курс обязательный
Когда читается:
4-й курс, 1 модуль

Преподаватели

Course Syllabus

Abstract

The discipline covers the important aspects of analytics communication and data visualization for business and academic audiences. Modules of the course comprise communication strategy and tools, techniques and best practices of data visualization as well as the central topics and key concepts of public speaking. Fundamentally, the key learning outcomes of the course refer to understanding efficient ways to convey information to the target audience.
Learning Objectives

Learning Objectives

  • Able to understand the steps for developing efficient communications strategies
  • Able to understand how to communicate with different target audiences
  • Able to demonstrate knowledge on the principles of data visualization
  • Able to develop charts, tables and other visual aids efficiently
  • Able to demonstrate basic knowledge on the use of specialised Data visualisation software
  • Able to develop expositions which convey information successfully
  • Able to design academic presentations for effective communication
  • Able to give and receive feedback on a presentation in an effective manner
Expected Learning Outcomes

Expected Learning Outcomes

  • Able to understand the steps for developing efficient communications strategies Able to understand how to communicate with different target audiences
  • Able to demonstrate knowledge on the principles for data visualization Able to develop charts, tables and other visual aids efficiently Able to demonstrate the knowledge on the use of Data Visualisation tools
  • Able to comprehend the key concepts of public speaking Able to develop expositions which convey information successfully
  • Able to design academic presentations for effective communication
Course Contents

Course Contents

  • Analytics Communication
    This topic comprises the key concept and initial points of Analytics Communication as well as the main principles of how to drive intelligence through an efficient communication plan.
  • Data Visualization
    The general principles of Data Visualization are explained as well as some corresponding digital tools and sources of datasets are presented.
  • Public Speaking
    It starts with approaches to preparation of the presentation, delivery and assessment of its quality. The second sub-topic focuses on the audience’ engagement and management of emotions. The final sub-topic is about tools and means for presentation.
  • Academic Presentation
    This topic covers how to prepare and deliver academic speeches, such as Dissertation and Thesis defenses as well as Conferences’ presentations.
Assessment Elements

Assessment Elements

  • non-blocking Attendance of the classes
  • non-blocking Presentations and tasks completed and presented during the classes
  • non-blocking Final presentation
  • non-blocking Final report
Interim Assessment

Interim Assessment

  • Interim assessment (1 module)
    FG=0,25*LP+0,25*P+0,25*FP+0,25*FR FG - final grade LP – active participation during the lectures and seminars P – presentations and tasks completed and presented during the seminars FP – final presentation FR – final report Late submissions of the tasks result in 1 point deduction for every 24 hours of the delay. Active participation and giving presentations during the seminars are counted separately. Both lecture attendance and seminar participation is not counted for the students absent in the meeting log and failing to indicate their presence when asked by the lecturer. Students should be visible at least when active (cameras on), otherwise the individual score for active participation and\or task presentation is reduced by 50%. Both analytical and visual content of the final report as well as the presentations must be unborrowed, otherwise the group score is reduced.
Bibliography

Bibliography

Recommended Core Bibliography

  • Communication excellence: How to develop, manage and lead exceptional communications. (2017). Palgrave Macmillan. https://doi.org/10.1007/978-3-319-48860-8

Recommended Additional Bibliography

  • Yau, N. (2013). Data Points : Visualization That Means Something. New York: Wiley. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=566405