Objectives and competences
In this course the students 1. Design project plan for data science project. 2. Gather and prepare financial data from publicly available data warehouses Are prepared to conduct the project by themselves. 3. Appropriately present the results, in the manner ready for a user. 4. Understand professional ethics in data science
Content (Syllabus outline)
1. Preparation and workflow of data science projects
2. Interpretation of results
3. Preparing and presenting the results for and to users
4. Time validity of performed projects
5. Professional ethics in data science
Learning and teaching methods
discussion; individual study; case studies;
Intended learning outcomes - knowledge and understanding
Knowledge and understanding:
Students:
- understand the business need for data science projects;
- are able to explain and interpret the results of an data science project;
- are able to assess the quality of data science projects;
Intended learning outcomes - transferable/key skills and other attributes
Cognitive/Intellectual skills:
- critically evaluate data science projects
- understand background, methods and use of data science
- develop the ability to communicate professionally and critically.
Key/Transferable skills
- Are able to translate financial decision problems in into a decision.
- Ability to participate in the interdisciplinary and international team.
- They build professional ethics.
Practical skills:
- Are able to identify and appropriately design a data science project
- Are able to choose appropriate method for a data science project
- Are able to perform a data science project
- Can present a data science project
Readings
Nabor aktualnih člankov s področja podatkovne znanosti./Selection of scientific papers in the area of data science.
Martin T. Hagan, Howard B. Demuth, Mark H. Beale, Orlando De Jes?s, Neural Network Design (2nd Edition), ISBN-10: 0-9717321-1-6, ISBN-13: 978-0-9717321-1-7. Pridobljeno 3. maja 2023: https://hagan.okstate.edu/NNDesign.pdf.
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Additional information on implementation and assessment Project
