Mohammad Javad Khademian

Mohammad Javad Khademian

MSc Student

+989362879026


[Master’s Degree In E-Commerce, Amir Kabir University of Technology, 2018 to Present]

Ready for adventure and progress 🙂
Current courses: E-Banking, E-Commerce Systems Engineering, E-Commerce Security and Seminar

[Bachelor’s Degree in Information Technology Engineering, Shiraz University of Technology, 2013 – 2017]

GPA: 16.45 out of 20.

Bachelor Project: “Online Store Website Powered by Google Analytics”, Point: 19.75, Dr. Bushehrian

Activities:

  • Member of Information Technology Scientific Association and RoboCup Association of the University
  • Member of RoboCup teams (Cyrus, Senator)
  • Teaching assistant of Discrete Mathematics and Principles of Database Designing
  • Participating in International RoboCup – IranOpen
  • Present workshops and various training classes (Web Designing, Windows Phone Development, …)
  • Active in ACM and Snake scientific tournaments
  • Member of Exceptional Talent Office of the University
  • Responsible for holding training courses in the Scientific Association
  • graduated with a rank 5

[National Organization for Development of Exceptional Talents, 2008 – 2012]

• Gaining third place in the field of programming in Science-Laboratory-Computer competitions
• Participate in the “Young Explorers Festival”

Mohammad Javad Khademian

Thesis Title:
A Comparison Between Business Intelligence Tools and How to Choose the Right One

Thesis Abstract:

Business Intelligence (BI) is set of tools, technologies, methodologies and solutions for collecting, integrating and analyzing data to provide knowledge and strategic insight of businesses and helps executives and managers to make informed business decisions.

Nowadays, the demand for using BI tools is increasing. Organizations have different needs and requirements and BI tools are various. So, choosing an appropriate tool could be challenging.

The purpose of this seminar is to conduct a comparison between BI tools and provide a way for selecting the right one.

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Business Intelligence
Data Science
Big Data
Stock Exchange

Deadlines

30 بهمن 97

تایید لیست مراجع سمینار توسط استاد مشاور

18 فروردین 98

تحویل دو نسخه از گزارش سمینار که با نظر استاد مشاور سمینار اصلاحات آن انجام شده باشد

30 فروردین 98

درج عنوان فارسی و انگلیسی پایان نامه در پورتال آموزشی

اردیبهشت 98

دفاع از پیشنهاد پروژه در گروه و تصویب نهایی

نیمه اول خرداد 98

تصویب نهایی توسط شورای تحصیلات تکمیلی دانشکده

16:30-18

15-16:30

14-15

13-14

12-13

10:30-12

9:15-10:30

7:45-9:15

 

BI

LSS

LAB

LAB

LAB

LAB

LAB

SCM

شنبه

 

LAB

LAB

LAB

LAB

LAB

LAB

 

یکشنبه

BI

LSS

LAB

LAB

LAB

LAB

LAB

SCM

دوشنبه

 

LAB

LAB

LAB

LAB

LAB

LAB

 

سه شنبه

 

Mohammad Javad Khademian

Semester 2