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More stuff in bibliography.

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course_syllabus.md
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@ -201,9 +201,9 @@ The following items compose the final grade:
- Case assignments: 50% of the grade. There will be three assignments, each - Case assignments: 50% of the grade. There will be three assignments, each
with the same weight. The average grade of the assignments must be of 5 or with the same weight. The average grade of the assignments must be of 5 or
more to pass the course. more to pass the course.
- Final exam: 40% of the grade. There will be a final exam at the end of the - Final exam: 50% of the grade. There will be a final exam at the end of the
course. The grade must be of 5 or more to pass the course. course. The grade must be of 5 or more to pass the course.
- Something else? 10%.
A final grade is calculated as: A final grade is calculated as:
@ -223,7 +223,8 @@ final_grade = (avg(case1_grade, case2_grade, case3_grade) + final_exam_grade) /
## Bibliography ## Bibliography
All compulsory and required materials will be provided during the course. All compulsory and required materials will be provided during the course. These
include lecture notes, required readings and description readings.
A good book that follows the approach of this course is "Guttag, John. A good book that follows the approach of this course is "Guttag, John.
Introduction to Computation and Programming Using Python: With Application to Introduction to Computation and Programming Using Python: With Application to
@ -240,7 +241,6 @@ following books are recommended:
- On simulation: Louis G. Birta Gilbert Arbez, Modelling and Simulation. - On simulation: Louis G. Birta Gilbert Arbez, Modelling and Simulation.
Springer 2019 ISBN: 978-3-030-18869-6 or Law A., Kelton D., Simulation and Springer 2019 ISBN: 978-3-030-18869-6 or Law A., Kelton D., Simulation and
Modelling Analysis, Second Edition, McGraw-Hill, ISBN: 978-0071165372 Modelling Analysis, Second Edition, McGraw-Hill, ISBN: 978-0071165372
- On optimization: pedir recomendación a Helena.
- On machine learning: Hastie T., Tibshirani R., Friedman J., The Elements Of - On machine learning: Hastie T., Tibshirani R., Friedman J., The Elements Of
Statistical Learning: Data Mining, Inference, And Prediction, Second Edition Statistical Learning: Data Mining, Inference, And Prediction, Second Edition
ISBN: 978-0387848570 ISBN: 978-0387848570