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