Checking date: 09/05/2018


Course: 2018/2019

Computer applications in finance
(13790)
Study: Bachelor in Finance and Accounting (201)


Coordinating teacher: DE LA ROSA TURBIDES, TOMAS EDUARDO

Department assigned to the subject: Department of Computer Science and Engineering

Type: Electives
ECTS Credits: 6.0 ECTS

Course:
Semester:




Competences and skills that will be acquired and learning results. Further information on this link
Description of contents: programme
Learning activities and methodology
Assessment System
  • % end-of-term-examination 30
  • % of continuous assessment (assigments, laboratory, practicals...) 70
Basic Bibliography
  • Boris Kovalerchuck & Evgenii Vityaev. Data Mining in Finance. Kluwer Academic Publishers. 2000
  • Luis Torgo. Data Mining with R: Learning with Case Studies, Second Edition. CRC Press. 2017
Additional Bibliography
  • Suran Goonatilake & Philip Treleaven. Intelligent Systems for Finance and Business. John Wiley & Sons. 1995

The course syllabus and the academic weekly planning may change due academic events or other reasons.