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Corporate Finance - Economics with Data Science / Economics and Business
91997

Description
Course program
Introduction to Corporate Finance: 
  • Definitions and Key Factors;
  • Financial Statement Analysis;
  • Financial Ratios;
  • Financing Decisions;
  • Dividend Decisions;
  • Capital Budgeting;
  • Firm-Financial System;
  • Relationship Valuation Models.

ECTS credits
6

Teaching Language
English

Exam Language
English

Support Materials Language
English

Basic Learning Outcomes
  • Knowledge and Understanding: Students will acquire a solid foundation in fundamental data structures, tools, and programming methodologies essential for developing technical and scientific applications; They will also gain an understanding of key algorithms and their implementation in C++. 
    (91997.1 - 91997.CorpFin.1 - BET - Knowledge and Understanding: Students will acquire a solid foundation in fundamental data structures, tools, and programming methodologies essential for developing technical and scientific applications; They will also gain an understanding of key algorithms and their implementation in C++. )
  • Ability to Apply Knowledge: Students will be able to design, develop, and implement simple C++ programs using appropriate data structures and known algorithms; They will apply computational techniques to solve problems in technical and scientific domains. 
    (91997.2 - 91997.CorpFin.2 - BET - Ability to Apply Knowledge: Students will be able to design, develop, and implement simple C++ programs using appropriate data structures and known algorithms; They will apply computational techniques to solve problems in technical and scientific domains. )
  • Critical Thinking and Judgment Skills: Through practical assignments and problem-solving activities, students will develop the ability to evaluate different algorithmic approaches, choose the most suitable data structures, and assess the efficiency of their implementations; Group work and peer discussions will foster analytical thinking and collaborative problem-solving skills. 
    (91997.3 - 91997.CorpFin.3 - BET - Critical Thinking and Judgment Skills: Through practical assignments and problem-solving activities, students will develop the ability to evaluate different algorithmic approaches, choose the most suitable data structures, and assess the efficiency of their implementations; Group work and peer discussions will foster analytical thinking and collaborative problem-solving skills. )
  • Communication Skills: Students will learn to articulate programming concepts clearly, using appropriate technical terminology; They will be able to document their code effectively and communicate their design choices in both written and oral formats. 
    (91997.4 - 91997.CorpFin.4 - BET - Communication Skills: Students will learn to articulate programming concepts clearly, using appropriate technical terminology; They will be able to document their code effectively and communicate their design choices in both written and oral formats. )
  • Ability to Continue Studying Independently: By mastering foundational programming principles and methodologies, students will be equipped with the skills necessary to explore advanced topics in computer science autonomously; They will be prepared to extend their knowledge through further study and self-directed learning. 
    (91997.5 - 91997.CorpFin.5 - BET - Ability to Continue Studying Independently: By mastering foundational programming principles and methodologies, students will be equipped with the skills necessary to explore advanced topics in computer science autonomously; They will be prepared to extend their knowledge through further study and self-directed learning. )
  • The curriculum integrates theoretical and practical components to develop well-rounded programming competence; Students emerge with the tools to contribute independently and collaboratively in computational contexts. 
    (91997.6 - 91997.CorpFin.6 - BET - The curriculum integrates theoretical and practical components to develop well-rounded programming competence; Students emerge with the tools to contribute independently and collaboratively in computational contexts. )

Final Learning Outcomes

Course categorized

Managing Entity (faculty)
Department of Economics and Law (UNICAS)