Tehran Institute for Advanced Studies (TeIAS)

/ Data Science

Winter School

Data Science

2-6 February, 2020

Venue

Khatam University
Address: Mollasadra, North Shiraz, Hakim Azam, No 30. See location on Google map

+982189174612

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

Overview

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]

Schedule

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