Introduction to Management is a bachelor-level course, which introduces students to the fascinating world of management in the context of modern organizing. The course aims to develop capabilities for independent thinking about management as a phenomenon ultimately concerned with a particular relationship to the human subject at work. This is achieved through a course structure that recognizes the cultural-historical specificity of management in modern Anglo-Saxon and European cultures. The course content is organized along three sets of themes. The first theme locates the emergence of management within the historical context of modern and industrial capitalism. Students will be introduced to three lines of critique of early industrial society and its particular modes of organization. This includes the analytical categories of anomie, alienation, rationalization and the objects of division of labour, the labour process, work ethic and bureaucratic organization. A second theme allows students to engage in managerial ideas and practices in terms of their origins, intentionalities, development and effects in the course of the 20th century. This includes scientific management, human relations and organizational psychology, systems theory, the management of culture and Human Resources. A third and final theme considers the technological horizon of possibility and discusses the self and subjectivity in contemporary organization as well as imaginations of future modes of managing. The latter includes themes of self-management, aspects of the ‘automata’ in the form of AI and Machine learning and issues about privacy and surveillance.
The course is guided by the conviction of a learning experience where students are treated as ‘young adults’ whose independent thinking in the world of management and organization studies can be cultivated through a collaborative mode of learning, akin to that in other parts of the social sciences and humanities, where problematizing of the object of study is considered germane. As such the course aims at sophistication rather than simplification (or ‘dumbing down’) and problematizing rather than prescribing thinking and analysis of the thought-world of management.
9996 Global Competence: Social Responsibility across Business Studies, Summer 2020, Helsinki and Vaasa
The course provides master’s students an introduction to key concepts and perspectives that describe the challenges, opportunities and risks that mainly companies – but also governments, other organizations and more broadly societies – face regarding social and environmental responsibilities. In the course, students have the opportunity to learn about perspectives on social responsibility from many subjects at Hanken (with videos relating to accounting, commercial law, economics, entrepreneurship, finance, information systems, management, marketing, politics and business, and supply chain management).
The sustainable development goals (SDGs) are introduced through videos too and some of their targets that are particularly relevant to business are emphasized.
The course is mandatory for all master's degree students at Hanken who have started their master's studies 1.8.2018 or after.
Student who have begun their studies before 1.8.2018 can take the Global Competence module as two different parts of their degree:
- New seminar course 5 credits (given from 2019-2020 onwards) + Global competence module 5 credits both within the 90 credits major subject/track specific studies OR
- old seminar course 12 credits (given last time 2018-2019) within 90 credits major subject, and Global competence module 5 credits outside the 90 credits major subject/track specific studies as free electives.
External students can take the course as part of the study module in Corporate Responsibility.
The course can be taken as a summer course in May-July 2020 by students from both Helsinki and Vaasa.
- Teacher: Martin Fougère
Demand for skills in business intelligence, data analysis, machine learning, and artificial intelligence is growing. This course intends to introduce tools, especially Python, in order to address most problems in business analytics. The course introduces knowhow of gathering
data, preparing data, analysing data, building statistical and machine learning models, and visualising results in a customised manner. This introductory course gives basic knowledge business analytics through tools such as Python. It provides information and practices related
to Python programming, about how to solve problems in business analytics, and about online resources through which one could inquire for further business-related problems.
- Teacher: Askhan Fredström