Business Intelligence

 

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Overview (شرح مختصر)                                                                              

In today's highly competitive and increasingly uncertain world, the quality and timeliness of an organization's "Business Intelligence (BI)" can mean not only the difference between profit and loss but even the difference between survival and bankruptcy. The term BI is relatively new but it is synonymous with a range of applications that have been around for years: On-Line Transaction Processing, Data Warehousing, Data Mining, Intelligent Decision Support System, Intelligent Agent, Knowledge Management System, Supply Chain Management, Customer Relationship Management, Enterprise Resource Planning, Enterprise Information Management and so on. BI is the conversion of data into information in such a way that the business is able to analyze the information to gain insight and take action. in other words BI exquisites data and information for use in decision-making activities. The course provides an introduction to above tools, techniques and applications. The course also studies related concepts such as data cleaning, data cleansing and so on.

اهداف درس:

هوش تجاري نه به عنوان یک محصول و نه به عنوان یک ابزار، بلکه به عنوان يك معماری مطرح مي شود که هدف نهايي آن تجمیع اطلاعات مختلف از منابع ناهمگون و متفاوت در یک پایگاه داده تحلیلی و فراهم کردن امکان تهیه گزارش های تحلیلی و برخط از اطلاعات چندبعدی موجود است. در اين درس مفاهيم، معماري و كاربردهاي هوش تجاري، به همراه ابزارها و تكنيك هاي مورد نياز معرفي مي شود. در ادامه اجزاي مختلف اين معماري به همراه كاربردهاي هريك در پروژه هاي هوش تجاري مورد بررسي قرار مي گيرد.


Prerequisites (پيش نيازها)

Students are expected to have good knowledge of Databases, Artificial Intelligence and software engineering concepts

داشتن دانش پيش زمينه در حوزه هاي هوش مصنوعي، پايگاه داده ها و مهندسي نرم افزار در يادگيري مفاهيم هوش تجاري بسيار مفيد خواهد بود.


Course Timing (2017)

Sat., Mon. (16:30 – 18:00 )

Class 205


Course Material (منابع درس)

Textbook (کتاب هاي درس)
  • Larissa T. Moss, Shaku Atre, "Business Intelligence Roadmap: The Complete Project Lifecycle for Decision Support Applications" , Addison Wesley, 2003.
  • Efraim Turban, Ramesh Sharda, Dursun Delen, David King, "Business Intelligence: A Managerial Approach" , 2nd Edition, Prentice Hall, 2010.
  • Abraham Silberschatz, Henry F. Korth, S. Sudarshan, "Database System Concepts", 6th Edition, McGrow Hill, 2011.
  • Stephen Few, "Information Dashboard Design" , 1st Edition, O'Reilly, 2006.
  • Ralph Kimball, Margy Ross, Warren Thornthwaite, Joy Munday, Bob Becker, "The Data Warehouse Lifecycle Toolkit" , 2nd Edition, Wiley, 2008.

Grading Policy (نمره‌دهی)

According to the following description, there will be two exams, homework assignments and one final project as following:

ارزيابي دانشجويان از طريق دو امتحان ميان ترم و پايان ترم، تمرينات و پروژه نهايي خواهد بود.

Homework 20 %
Project 35 %
Midterm

20 %

Final Exam 25 %

Contact Information (اطلاعات تماس)

Who
Name
Office Office Hours

Email

Instructor Prof. Ahmad Abdollahzadeh - - ahmad@ce.aut.ac.ir
TA Meisam Nazariani ISLAB - m_nazariani@aut.ac.ir

 

Amirkabir University Of Technology, Intelligent Systems Labratory

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