Бакалавриат
2021/2022![Learning Objectives](/f/src/global/i/edu/objectives.svg)
![Expected Learning Outcomes](/f/src/global/i/edu/results.svg)
![Assessment Elements](/f/src/global/i/edu/controls.svg)
![Interim Assessment](/f/src/global/i/edu/intermediate_certification.svg)
![Bibliography](/f/src/global/i/edu/library.svg)
Аналитические коммуникации в бизнесе
Статус:
Курс обязательный (Международный бизнес и менеджмент)
Направление:
38.03.02. Менеджмент
Кто читает:
Департамент менеджмента
Где читается:
Санкт-Петербургская школа экономики и менеджмента
Когда читается:
4-й курс, 1 модуль
Формат изучения:
без онлайн-курса
Охват аудитории:
для своего кампуса
Преподаватели:
Бордунос Александра Константиновна,
Козаченко Екатерина Владимировна,
Нефедов Константин Сергеевич
Язык:
английский
Кредиты:
4
Контактные часы:
40
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
- 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
- Able to comprehend the key concepts of public speaking Able to develop expositions which convey information successfully
- 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 design academic presentations for effective communication
- Able to understand the steps for developing efficient communications strategies Able to understand how to communicate with different target audiences
Assessment Elements
- Attendance of the classes
- Presentations and tasks completed and presented during the classes
- Final presentation
- Final report
Interim Assessment
- 2021/2022 1st moduleFG=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
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