110 http://isa.epfl.ch/imoniteur_ISAP/ itffichecours.txt?path=EPFL.Etu.FicheCours.HeaderFR itffichecours.txt?path=EPFL.Etu.FicheCours.GlobalNav_js fr 2026 946228 6683147 946228 2305107546 2305107546 0 0 Systemes de communication SC IC Faculté informatique et communications School of Computer and Communication Sciences !itffichecours.htm?ww_i_matiere=2912487466&ww_x_anneeAcad=2305107546&ww_i_section=946228&ww_i_niveau=6683147 1696552884 1696552963 2024-2025 COURSE BOOKLET COM-490 Large-scale data science for real-world data Large-scale data science for real-world data Lecturers Bouillet Eric Pierre, Delgado Pamela, Sarni Sofiane, Verscheure Olivier Language of teaching English Cursus Data Science(2024-2025, SC_DS - Master 2023)
Data Science(2024-2025, SC_DS - Master 2024)
Data science minor(2024-2025, Mineur : Data Science 2024-25)
Digital Humanities(2024-2025, DH - Master 2023)
Digital Humanities(2024-2025, DH - Master 2024)
Electrical and Electronics Engineering(2024-2025, EL - Master 2023)
Electrical and Electronics Engineering(2024-2025, EL - Master 2024)
Management, Technology and Entrepreneurship(2024-2025, MTEE - Master 2023)
Management, Technology and Entrepreneurship(2024-2025, MTEE - Master 2024)
SemesterMand.OptionFilières
Ex
MA2, MA4x
MA2, MA4xC
MA2, MA4xJ
 Credits 6 Withdrawal Unauthorized It is not allowed to withdraw from this subject after the registration deadline. Session Summer Workload 180h Exam During the semester Number of positions Il n'est pas autorisé de se retirer de cette matière après le délai d'inscription. Semester Spring Weeks 14 Hours 4 weekly
TP 4 weekly
Study planSemesterMand.OptionFilières
Data Science 2024-25MA2x
Data Science 2024-25MA4x
Génie électrique et électronique 2024-25MA2xJ
Génie électrique et électronique 2024-25MA4xJ
Humanités digitales 2024-25MA2x
Humanités digitales 2024-25MA4x
Management, technologie et entrepreneuriat 2024-25MA2xC
Management, technologie et entrepreneuriat 2024-25MA4xC
Mineur : Data science 2024-25Ex
Cursus Sem. Type
Data Science MA2, MA4 Opt.
Data science minor E Opt.
Digital Humanities MA2, MA4 Opt.
Electrical and Electronical Engineering MA2, MA4 Opt.
Managmt, tech et entr. MA2, MA4 Opt.
Summary This hands-on course teaches the tools & methods used by data scientists, from researching solutions to scaling up prototypes to Spark clusters. It exposes the students to the entire data science pipeline, from data acquisition to extracting valuable insights applied to real-world problems. Content

1. Crash-course in Python for data scientists

  • Main Python libraries for data scientists
  • Interactive data science with web-based notebooks
  • Reusable compute environments for reproducible science
  • Homework: Curating data from a network of CO2 sensors

2. Distributed data wrangling at scale

  • Understand the main constituents of an Apache Hadoop distribution
  • Put Map-Reduce into practice
  • Focus on HDFS, Hive and HBase and associated data storage formats
  • Homework: Big data wrangling with massive travel data from SBB/CFF

3. Distributed processing with Apache Spark

  • RDDs and best practices for order of operations, data partitioning, caching
  • Data science packages in Spark: GraphX, MLlib, etc.
  • Homework: Uncovering world events using Twitter hashtags

4. Real-time big data processing using Apache Spark Streaming

  • Window-based processing of unbounded data
  • Homework: Geospatial analysis and visualization of real-time train geolocation data from the Netherlands

5. Final project - Summing it all up

  • Robust Journey Planning on the Swiss multimodal transportation network - Given a desired departure, or arrival time,your route planner will compute the fastest route between two stops within a provided uncertainty tolerance expressedas interquartiles. For instance, what route from A to B is the fastest at least Q% of the time if I want to leave from A(resp. arrive at B) at instant ?.
 Keywords

Data Science, IoT, Machine Learning, Predictive Modeling, Big Data, Stream Processing, Apache Spark, Hadoop,
Large-Scale Data Analysis

 Learning Prerequisites Required courses

Students must have prior experience with Python

 Important concepts to start the course

It is recommended that students familiarize themselves with concepts in statistics and standard methods in machine learning.

 Learning Outcomes By the end of the course, the student must be able to:
  • Use standard Big Data tools and Data Science librairies
  • Carry out out out-real-world projects with a variety of real datasets, both at rest and in motion
  • Design large scale data science and engineering problems
  • Present tangible solution to a real-world Data Science problem
 Teaching methods
  • Hands-on lab sessions
  • Homework assignments
  • Final project

... using real-world datasets and Cloud Compute & Storage Services

 Expected student activities
  • STUDY : Attend the lab sessions
  • WORK : Complete homework assignments
  • ENGAGE : Contribute to the ineractive nature of the class
  • COLLABORATE : Work in small groups to provide solutions to real-world problems
  • EXPLAIN : Present ideas and results to the class
 Assessment methods
  • 60% continuous assessment during the semester
  • 40% final project, done is small groups
 Supervision Office hours Yes Assistants Yes Forum Yes Resources Bibliography
  • Python Data Science Handbook: Essential Tools for Working with Data by Jake VanderPlas, O'Reilly Media, November 2016
  • pyGAM - https://github.com/dswah/pyGAM

A list of additional readings will be distributed at the beginning of the course

 Ressources en bibliothèque
  • Python Data Science Handbook / VanderPlashttp://library.epfl.ch/en/beast?isbn=9781491912058
 Moodle Link Data Science, 2024-2025, Master semestre 2 Data Science, 2024-2025, Master semester 2 Ecole polytechnique fédérale de Lausanne EPFL Ecole polytechnique fédérale de Lausanne EPFL 2024-2025 Master semestre 2 MA2 ETE Master semester 2 MA2 Data Science SC_DS Data Science SC_DS
Systèmes de communication SC Communication Systems SC
optionnel optional
4 TP TP Heure(s) hebdo x 14 semaines Hour(s) per week x 14 weeks H hebdo H hebdo Bouillet Eric Pierre 276553
Systèmes de communication SC Communication Systems SC
Sarni Sofiane 137773
Systèmes de communication SC Communication Systems SC
Delgado Borda Pamela Isabel 199060
Informatique IN Computer Science IN
Verscheure Olivier 107536
Systèmes de communication SC Communication Systems SC
2912487466 Large-scale data science for real-world data Large-scale data science for real-world data 6
Pendant le semestre During the semester Crédit Credits 6 Session été Session summer ETE ETE
Data Science, 2024-2025, Master semestre 4 Data Science, 2024-2025, Master semester 4 Ecole polytechnique fédérale de Lausanne EPFL Ecole polytechnique fédérale de Lausanne EPFL 2024-2025 Master semestre 4 MA4 ETE Master semester 4 MA4 Data Science SC_DS Data Science SC_DS
Systèmes de communication SC Communication Systems SC
optionnel optional
4 TP TP Heure(s) hebdo x 14 semaines Hour(s) per week x 14 weeks H hebdo H hebdo Bouillet Eric Pierre 276553
Systèmes de communication SC Communication Systems SC
Sarni Sofiane 137773
Systèmes de communication SC Communication Systems SC
Delgado Borda Pamela Isabel 199060
Informatique IN Computer Science IN
Verscheure Olivier 107536
Systèmes de communication SC Communication Systems SC
2912487466 Large-scale data science for real-world data Large-scale data science for real-world data 6
Pendant le semestre During the semester Crédit Credits 6 Session été Session summer ETE ETE
Génie électrique et électronique, 2024-2025, Master semestre 2 Electrical and Electronics Engineering, 2024-2025, Master semester 2 Ecole polytechnique fédérale de Lausanne EPFL Ecole polytechnique fédérale de Lausanne EPFL 2024-2025 Master semestre 2 MA2 ETE Master semester 2 MA2 Génie électrique et électronique EL Electrical and Electronics Engineering EL
Génie électrique et électronique EL Electrical and Electronics Engineering EL
J optionnel optional
4 TP TP Heure(s) hebdo x 14 semaines Hour(s) per week x 14 weeks H hebdo H hebdo Bouillet Eric Pierre 276553
Systèmes de communication SC Communication Systems SC
Sarni Sofiane 137773
Systèmes de communication SC Communication Systems SC
Delgado Borda Pamela Isabel 199060
Informatique IN Computer Science IN
Verscheure Olivier 107536
Systèmes de communication SC Communication Systems SC
2912487466 Large-scale data science for real-world data Large-scale data science for real-world data 6
Pendant le semestre During the semester Crédit Credits 6 Session été Session summer ETE ETE
Génie électrique et électronique, 2024-2025, Master semestre 4 Electrical and Electronics Engineering, 2024-2025, Master semester 4 Ecole polytechnique fédérale de Lausanne EPFL Ecole polytechnique fédérale de Lausanne EPFL 2024-2025 Master semestre 4 MA4 ETE Master semester 4 MA4 Génie électrique et électronique EL Electrical and Electronics Engineering EL
Génie électrique et électronique EL Electrical and Electronics Engineering EL
J optionnel optional
4 TP TP Heure(s) hebdo x 14 semaines Hour(s) per week x 14 weeks H hebdo H hebdo Bouillet Eric Pierre 276553
Systèmes de communication SC Communication Systems SC
Sarni Sofiane 137773
Systèmes de communication SC Communication Systems SC
Delgado Borda Pamela Isabel 199060
Informatique IN Computer Science IN
Verscheure Olivier 107536
Systèmes de communication SC Communication Systems SC
2912487466 Large-scale data science for real-world data Large-scale data science for real-world data 6
Pendant le semestre During the semester Crédit Credits 6 Session été Session summer ETE ETE
Humanités digitales, 2024-2025, Master semestre 2 Digital Humanities, 2024-2025, Master semester 2 Ecole polytechnique fédérale de Lausanne EPFL Ecole polytechnique fédérale de Lausanne EPFL 2024-2025 Master semestre 2 MA2 ETE Master semester 2 MA2 Humanités digitales DH Digital Humanities DH
Humanités digitales DH Digital Humanities DH
optionnel optional
4 TP TP Heure(s) hebdo x 14 semaines Hour(s) per week x 14 weeks H hebdo H hebdo Bouillet Eric Pierre 276553
Systèmes de communication SC Communication Systems SC
Sarni Sofiane 137773
Systèmes de communication SC Communication Systems SC
Delgado Borda Pamela Isabel 199060
Informatique IN Computer Science IN
Verscheure Olivier 107536
Systèmes de communication SC Communication Systems SC
2912487466 Large-scale data science for real-world data Large-scale data science for real-world data 6
Pendant le semestre During the semester Crédit Credits 6 Session été Session summer ETE ETE
Humanités digitales, 2024-2025, Master semestre 4 Digital Humanities, 2024-2025, Master semester 4 Ecole polytechnique fédérale de Lausanne EPFL Ecole polytechnique fédérale de Lausanne EPFL 2024-2025 Master semestre 4 MA4 ETE Master semester 4 MA4 Humanités digitales DH Digital Humanities DH
Humanités digitales DH Digital Humanities DH
optionnel optional
4 TP TP Heure(s) hebdo x 14 semaines Hour(s) per week x 14 weeks H hebdo H hebdo Bouillet Eric Pierre 276553
Systèmes de communication SC Communication Systems SC
Sarni Sofiane 137773
Systèmes de communication SC Communication Systems SC
Delgado Borda Pamela Isabel 199060
Informatique IN Computer Science IN
Verscheure Olivier 107536
Systèmes de communication SC Communication Systems SC
2912487466 Large-scale data science for real-world data Large-scale data science for real-world data 6
Pendant le semestre During the semester Crédit Credits 6 Session été Session summer ETE ETE
Management, technologie et entrepreneuriat, 2024-2025, Master semestre 2 Management, Technology and Entrepreneurship, 2024-2025, Master semester 2 Ecole polytechnique fédérale de Lausanne EPFL Ecole polytechnique fédérale de Lausanne EPFL 2024-2025 Master semestre 2 MA2 ETE Master semester 2 MA2 Management, technologie et entrepreneuriat MTEE Management, Technology and Entrepreneurship MTEE
Management de la technologie MTE Management of Technology MTE
C optionnel optional
4 TP TP Heure(s) hebdo x 14 semaines Hour(s) per week x 14 weeks H hebdo H hebdo Bouillet Eric Pierre 276553
Systèmes de communication SC Communication Systems SC
Sarni Sofiane 137773
Systèmes de communication SC Communication Systems SC
Delgado Borda Pamela Isabel 199060
Informatique IN Computer Science IN
Verscheure Olivier 107536
Systèmes de communication SC Communication Systems SC
2912487466 Large-scale data science for real-world data Large-scale data science for real-world data 6
Pendant le semestre During the semester Crédit Credits 6 Session été Session summer ETE ETE
Management, technologie et entrepreneuriat, 2024-2025, Master semestre 4 Management, Technology and Entrepreneurship, 2024-2025, Master semester 4 Ecole polytechnique fédérale de Lausanne EPFL Ecole polytechnique fédérale de Lausanne EPFL 2024-2025 Master semestre 4 MA4 ETE Master semester 4 MA4 Management, technologie et entrepreneuriat MTEE Management, Technology and Entrepreneurship MTEE
Management de la technologie MTE Management of Technology MTE
C optionnel optional
4 TP TP Heure(s) hebdo x 14 semaines Hour(s) per week x 14 weeks H hebdo H hebdo Bouillet Eric Pierre 276553
Systèmes de communication SC Communication Systems SC
Sarni Sofiane 137773
Systèmes de communication SC Communication Systems SC
Delgado Borda Pamela Isabel 199060
Informatique IN Computer Science IN
Verscheure Olivier 107536
Systèmes de communication SC Communication Systems SC
2912487466 Large-scale data science for real-world data Large-scale data science for real-world data 6
Pendant le semestre During the semester Crédit Credits 6 Session été Session summer ETE ETE
Mineur en Data science, 2024-2025, Semestre printemps Data science minor, 2024-2025, Spring semester Ecole polytechnique fédérale de Lausanne EPFL Ecole polytechnique fédérale de Lausanne EPFL 2024-2025 Semestre printemps E ETE Spring semester E Mineur en Data science MIN_DATA Data science minor MIN_DATA
optionnel optional
4 TP TP Heure(s) hebdo x 14 semaines Hour(s) per week x 14 weeks H hebdo H hebdo Bouillet Eric Pierre 276553
Systèmes de communication SC Communication Systems SC
Sarni Sofiane 137773
Systèmes de communication SC Communication Systems SC
Delgado Borda Pamela Isabel 199060
Informatique IN Computer Science IN
Verscheure Olivier 107536
Systèmes de communication SC Communication Systems SC
2912487466 Large-scale data science for real-world data Large-scale data science for real-world data 6
Pendant le semestre During the semester Crédit Credits 6 Session été Session summer ETE ETE
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FO_fin HTML_debut &#966; HTML_fin JS_debut \x26#966; JS_fin CODE68199285 BOOLEAN_Symbol 1 BaliseJS_debut \x5bPHI\x5d BaliseJS_fin Balise_debut [PHI] Balise_fin FO_debut [inline]=&#934; FO_fin HTML_debut &#934; HTML_fin JS_debut \x26#934; JS_fin CODE68199991 BOOLEAN_Symbol 1 BaliseJS_debut \x5bgamma\x5d BaliseJS_fin Balise_debut [gamma] Balise_fin FO_debut [inline]=&#947; FO_fin HTML_debut &#947; HTML_fin JS_debut \x26#947; JS_fin CODE68200031 BOOLEAN_Symbol 1 BaliseJS_debut \x5bGAMMA\x5d BaliseJS_fin Balise_debut [GAMMA] Balise_fin FO_debut [inline]=&#915; FO_fin HTML_debut &#915; HTML_fin JS_debut \x26#915; JS_fin CODE68200077 BOOLEAN_Symbol 1 BaliseJS_debut \x5bomega\x5d BaliseJS_fin Balise_debut [omega] Balise_fin FO_debut [inline]=&#969; FO_fin HTML_debut &#969; HTML_fin JS_debut \x26#969; JS_fin CODE68200150 BOOLEAN_Symbol 1 BaliseJS_debut \x5bOMEGA\x5d BaliseJS_fin Balise_debut [OMEGA] Balise_fin FO_debut [inline]=&#937; FO_fin HTML_debut &#937; HTML_fin JS_debut \x26#937; JS_fin CODE72092691 BOOLEAN_Symbol BaliseJS_debut \x5beta\x5d BaliseJS_fin Balise_debut [eta] Balise_fin FO_debut [inline]=&#951; FO_fin HTML_debut &#951; HTML_fin JS_debut \x26#951; JS_fin CODE72092805 BOOLEAN_Symbol BaliseJS_debut \x5bETA\x5d BaliseJS_fin Balise_debut [ETA] Balise_fin FO_debut [inline]=&#919; FO_fin HTML_debut &#919; HTML_fin JS_debut \x26#919; JS_fin BALISE_SOULIGNER BOOLEAN_Symbol BaliseJS_debut \x5bu\x5d BaliseJS_fin \x5b\x2fu\x5d Balise_debut [u] Balise_fin [/u] FO_debut text-decoration=underline FO_fin text-decoration=none HTML_debut <u> HTML_fin </u> JS_debut \x3cu\x3e JS_fin \x3c\x2fu\x3e CODE72092388 BOOLEAN_Symbol BaliseJS_debut \x5bpsi\x5d BaliseJS_fin Balise_debut [psi] Balise_fin FO_debut [inline]=&#968; FO_fin HTML_debut &#968; HTML_fin JS_debut \x26#968; JS_fin CODE72092541 BOOLEAN_Symbol BaliseJS_debut \x5bPSI\x5d BaliseJS_fin Balise_debut [PSI] Balise_fin FO_debut [inline]=&#936; FO_fin HTML_debut &#936; HTML_fin JS_debut \x26#936; JS_fin CODE140502511 BOOLEAN_Symbol 1 BaliseJS_debut \x5brho\x5d BaliseJS_fin Balise_debut [rho] Balise_fin FO_debut [inline]=&#961; FO_fin HTML_debut &#961; HTML_fin JS_debut \x26#961; JS_fin CODE140504636 BOOLEAN_Symbol 1 BaliseJS_debut \x5bRHO\x5d BaliseJS_fin Balise_debut [RHO] Balise_fin FO_debut [inline]=&#929; FO_fin HTML_debut &#929; HTML_fin JS_debut \x26#929; JS_fin CODE148292791 BOOLEAN_Symbol BaliseJS_debut \x5bepsilon\x5d BaliseJS_fin Balise_debut [epsilon] Balise_fin FO_debut [inline]=&#949; FO_fin HTML_debut &#949; HTML_fin JS_debut \x26#949; JS_fin CODE169976220 BOOLEAN_Symbol BaliseJS_debut \x5blig\x5d BaliseJS_fin Balise_debut [lig] Balise_fin FO_debut [inline]=&#x203A;&#160;&#160; FO_fin HTML_debut &#x203A;&#160;&#160; HTML_fin JS_debut \x26#x203A;\x26#160;\x26#160; JS_fin CODE148292899 BOOLEAN_Symbol BaliseJS_debut \x5bEPSILON\x5d BaliseJS_fin Balise_debut [EPSILON] Balise_fin FO_debut [inline]=&#917; FO_fin HTML_debut &#917; HTML_fin JS_debut \x26#917; JS_fin BALISETXT_SAUT BOOLEAN_Symbol BaliseJS_debut \x5bbr\x2f\x5d BaliseJS_fin Balise_debut [br/] Balise_fin FO_debut FO_fin HTML_debut <br/> HTML_fin JS_debut \x3cbr\x2f\x3e JS_fin 2912487466 Large-scale data science for real-world data Large-scale data science for real-world data anglais Sarni Sofiane 137773 Verscheure Olivier 107536 Delgado Borda Pamela Isabel 199060 Bouillet Eric Pierre 276553 2138477330