4 courses, 5 days

  • Foundations of Data Science

  • Statistics for Data Science

  • Python Programming for Data Science

  • Machine Learning for Data Science

Target Audience

The intended audience of the school are researchers and students with some research background in computer science and engineering or closely related fields. Background in programming with some programming language is required as a perquisite of the school.

Speakers

Ramtin Khosravi

(University of Tehran)

Python Programming

[detailed syllabus]

Amin Gohari

(Tehran Institute for Advanced Studies)

Introduction to Statistics

[detailed syllabus]

Alireza Vafaei Sadr

(IPM)

Introduction to Data Science

[detailed syllabus]

Hadi Veisi

(University of Tehran)

Introduction to Machine Learning

[detailed syllabus]

Program

  • Day 1 - Sunday
  • Day 2 - Monday
  • Day 3 - Tuesday
  • Day 4 - Wednesday
  • Day 5 - Thursday
  • 09:30 – 10:00 Opening 
  • 10:00 – 10:30 Introduction to the School
  • 10:30 – 10:45 Coffee / Tea Break 
  • 10:45 – 12:00 Introduction to Statistics – Session 1
  • 12:00 – 13:15 Lunch Break 
  • 13:15 – 14:15 Python Programming – Basics – Session 1
  • 14:15 – 14:30 Coffee / Tea Break
  • 14:30 – 15:30 Introduction to Statistics – Session 2
  • 15:30 – 15:45 Coffee / Tea Break
  • 15:45 – 16:30 Introduction to Statistics – Session 3
  • 16:30 – 16:45 Coffee / Tea Break
  • 16:45 – 17:45 Data Science in Practice Panel
  • 09:00 – 10:00 Introduction to Statistics – Session 4
  • 10:00 – 10:15 Coffee / Tea Break 
  • 10:15 – 11:15 Introduction to Statistics – Session 5
  • 11:15 – 11:30 Coffee / Tea Break 
  • 11:30 – 12:15 Python Programming – Basics – Session 2
  • 12:15 – 13:30 Lunch Break 
  • 13:30 – 14:15 Python Programming – Basics – Session 3
  • 14:15 – 14:30 Coffee / Tea Break 
  • 14:30 – 15:15 Machine Learning – Session 1
  • 15:15 – 15:30 Coffee / Tea Break
  • 15:30 – 16:30 Machine Learning – Session 2
  • 16:30 – 17:00 Practical Problems in Data Science
  • 09:00 – 10:15 Machine Learning – Session 3
  • 10:15 – 10:30 Coffee / Tea Break 
  • 10:30 – 11:45  Machine Learning – Session 4
  • 11:45 – 12:00 Coffee / Tea Break 
  • 12:00 – 12:45  Machine Learning – Session 5
  • 12:45 – 13:45 Lunch Break 
  • 13:45 – 14:30 Python Programming – Data Analysis – Session 4
  • 14:30 – 14:45 Coffee / Tea Break 
  • 14:45 – 15:30 Python Programming – Data Analysis – Session 5
  • 15:30 – 17:00 Programming Lab
  • 09:00 – 10:15 Machine Learning – Session 6
  • 10:15 – 10:30 Coffee / Tea Break 
  • 10:30 – 11:15 Machine Learning – Session 7
  • 11:15 – 11:30 Coffee / Tea Break 
  • 11:30 – 12:15 Python Programming – Data Analysis – Session 6
  • 12:15 – 13:30 Lunch Break 
  • 13:30 – 14:15 Python Programming – Data Analysis – Session 7
  • 14:15 – 14:30 Coffee / Tea Break 
  • 14:30 – 15:15 Python Programming – Data Analysis – Session 8
  • 15:15 – 15:30 Coffee / Tea Break
  • 15:30 – 16:15 Python Programming – Machine Learning – Session 9
  • 16:15 – 16:30 Coffee / Tea Break
  • 16:30 – 17:15 Python Programming – Machine Learning – Session 10
  • 09:00 – 10:15 Introduction to Data Science – Session 1
  • 10:15 – 10:30 Coffee / Tea Break 
  • 10:30 – 11:30 Introduction to Data Science – Session 2
  • 11:30 – 11:45 Coffee / Tea Break 
  • 11:45 – 12:30  Introduction to Data Science – Session 3
  • 12:30 – 13:30 Lunch Break 
  • 13:30 – 14:30 Introduction to Data Science – Session 4
  • 14:30 – 14:45 Coffee / Tea Break 
  • 14:45 – 15:45  Introduction to Data Science – Session 5
  • 15:45 – 16:00 Coffee / Tea Break
  • 16:00 – 16:30 Closing session

Application

Dates: 13-17 Bahman 1398 (2-6 February, 2020)

VenueThe Data Science Winter School will be held at Khatam University

Address: Mollasadra, North Shiraz, Hakim Azam, No 30

Registration Deadline [Extended] : Tuesday, 8th of Bahman (28th of January, 2020)

Tuition:

General: 1,000,000 Toman
Students: 300,000 Toman

Scholarships for strong candidates are available.

Organizers

Executive Chair

Mohammad Morovati (TeIAS)

Scientific Chair

  • Rouzbeh Touserkani (IPM)
  • Hossein Hojjat (TeIAS)
  • Mohammadreza Mousavi (University of Leicester)
  • Mohammad Taher Pilehvar (TeIAS)

Organization Chair

  • Maryam Hejazinia
  • Fereshte Allahverdi