Inhalt

[ 986CABUSAS22 ] Module MS: Social skills and analytical skills

Versionsauswahl
Workload Mode of examination Education level Study areas Responsible person Coordinating university
6 ECTS Accumulative module examination M1 - Master's programme 1. year Business Administration Thomas Gegenhuber Johannes Kepler University Linz
Detailed information
Original study plan Master's programme Leadership and Innovation in Organizations 2024W
Objectives Learning Outcomes

On successful completion of this module, the students will be able to:

  • LO1: Communicate Effectively with Programmers: Demonstrate the ability to articulate project requirements, estimate task durations, and understand coding efforts in a manner that fosters clear and productive communication with programming teams.
  • LO2: Understand Programming Fundamentals: Gain a foundational understanding of a programming language such as Java or Python, including syntax, variables, control structures, functions, and basic data structures.
  • LO3: Apply Problem-Solving Skills in Coding: Utilize algorithmic thinking to design, write, and debug simple programs, translating theoretical problems into practical coding solutions.
  • LO4: Manage Data Efficiently: Understand and apply the principles of data management, including data storage, retrieval, and manipulation within software applications, to enhance decision-making in digital projects.
  • LO5: Appreciate the Logic Behind Algorithms and Coding: Develop an understanding of the digital logic underpinning software development, enabling informed decision-making and strategic thinking in digital transformation initiatives.
  • LO6: Understanding how gender and diversity affects organizing processes and how diversity can be a source of competitive advantage
  • LO7: Students are able to explain the difference between the business case for diversity and the social justice case
  • LO8: Students are able evaluate how gender and diversity shape intra organizational dynamics (e.g. team dynamics, promotion policies, entrepreneurial journey) as well as interactions with external stakeholders (e.g. investors, etc.)
  • LO9: Students apply their gained knowledge about gender and diversity to reflect upon the design of AI technologies within and across organizations.
Subordinated subjects, modules and lectures