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Analytics Communication and Management

2020/2021
Учебный год
ENG
Обучение ведется на английском языке
4
Кредиты
Статус:
Курс обязательный
Когда читается:
4-й курс, 3 модуль

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 fundamental 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 for data visualization
  • Able to develop charts, tables and other visual aids efficiently
  • Able to demonstrate basic knowledge on the use of Tableau Public
  • Able to develop expositions which convey information successfully
  • Able to develop expositions which convey information successfully
  • Able to design academic presentations for effective communications
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 (3 module)
    FG=0,25*CA+0,25*P+0,25*FP+0,25*FR FG - Final grade CA – Attendance of the classes P – Presentations and tasks completed and presented during the seminar FP – Final presentation FR – Final report
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