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Equipo

Equipo. Professors: Satenik Mnatsakanyan Nelson Baloian (nbaloian@dcc.uchile.cl ) (http://www.dcc.uchile.cl/nbaloian) TA: Maya Martirossyan. Organization of the course.

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Equipo

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  1. Equipo • Professors: • SatenikMnatsakanyan • Nelson Baloian (nbaloian@dcc.uchile.cl) (http://www.dcc.uchile.cl/nbaloian) • TA: • Maya Martirossyan

  2. Organization of thecourse • The students acquire basic knowledge about using computational tools to solve problems in engineering and sciences. These tools include advanced features for dealing in data in electronic spreadsheets (like Microsoft’s Excel), using mathematical laboratories (like Matlab or Octet) and a programming language of general use (like Python). The lectures are strongly “hand on” oriented for which students will have a preparation phase at home reading some material, then working on solving a problem in class collaboratively, and then delivering the solution as a homework

  3. Dynamic of theClasses • Forsome clases therewill be a vdeoortextstudentshave to watchorread in preparation • Teacherpresentslearning material forabout 30 minutes • Studentsworksolving a problemonthecomputer in groups (2 students per group) • Studentshave to uploadthesolution (.xlsx .m or .py file) • Deadlineswill be according to thetaskdifficulty

  4. Evaluation • In-class labs, quizzes 30% • Assignments in form of programming project 20% • Midterm examination 20% • Final examination 30%

  5. Computing ? • Use of computationaltools • ComputerEngineering • ComputerScience

  6. Example: Whenisyourbirthday? • ¿Whichistheprobabilitythat in thisclasstwostudentshavebirthdayonthesameday ? • Empiricalexperiment: eachstudent has to markthedayof herbirthday in the calendar with a circumference • Ifitisalreadymarkedmarkedwrite a biggerone 25 25

  7. How can wenow compute thetheoreticalprobability ? • ¿Probability? • Theproportion (ratio) of the “favorable” cases overthe total posible cases • Example: probability of tailwhentossing a coin: 0,5

  8. Usingthecomputer • We could write a program for computing this… • But if you have a computational environment might be much more simple and enriching • Lets use a spreadsheet. • Instead of computing the prob. of having collisions we will compute the probability of not having it (simpler, much more simpler) • p : probability of no collision • p(1) = 1 • p(n) = p(n-1) * (365+1-n) / 365

  9. Proposed

  10. Preparationfornextclass • Take a look at • https://www.youtube.com/watch?v=eI_7oc-E3h0 • https://www.youtube.com/watch?v=FNPNS6MT1Kk • Itsonly13 minutes in total and may sabe youa lotof time !

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