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ICT 287 Data Modeling for IT Projects

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Course Description

This course will introduce students to the various skills and techniques that are used to model relational databases.


Course Details

Data modeling is a process used to define and analyze the data requirements in an IT project with the end result being a data model that can accurately describe the structure, manipulation and integrity aspects of the data stored within relational databases.

Students will be introduced to the data modeling techniques and methodologies that are used to build the conceptual, logical and physical schemas in a technology agnostic manner that will define the data elements along with the structures and relationships between them.

This course is for both business and IT professionals including business analysts, database developers and administrators, software developers, data warehouse and business intelligence developers, and project managers.


Prerequisites

  • This course does not have prerequisites, students must however meet the recommendations and requirements in the Notes section along with any proficiencies identified below.

Delivery

Courses are instructor-led, face-to-face and may be delivered in three formats:

  • In Class - all classes are taught in a computer lab.
  • Online - all classes are taught synchronously in real-time.
  • Blended - delivery is both in a computer lab and synchronously online, alternating weekly.

It is the students responsibility to carefully read the course section content below to know which delivery options are available for the course they are registering into.

Registration

  • Registrations within 24 hours of course start time must be made by phone (403-220-2988).

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Course Content

Course Level Learning Outcomes

  • Understand basics of the DAMA DM-BOK guidelines for Data Modeling
  • Create three distinct levels of data models
  • Apply data modeling skills to practical situations
  • Create physical data base designs from logical conceptual data models

Topics of Instruction

  • Introduction to the practice of data modeling
  • Reasons to create data models
  • The conceptual data model
  • The logical data model
  • The physical data model
  • Relationships & Data Integrity
  • Data model patterns & the normal forms
  • The dimensional data model

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Notes

Recommendations and Requirements

Course Duration

Courses are 30 hours and are scheduled to be completed in either 5 weeks or 10 weeks. Generally, 5 week courses have two classes per week, and 10 week courses have one class per week.

Delivery Formats

Courses may be delivered in class, online, or blended (both in class and online). All delivery formats will use Desire2Learn (D2L) and Adobe Connect Meeting (ACM) tools to varying degrees and it is the students responsibility to ensure they are comfortable with these tools prior to the start of the first class.

Students are encouraged to read Student Online Learning Resources to determine the delivery format that will best meet their learning needs.

  • Students familiar with D2L and ACM from previous course work, require no further introduction to these learning tools.
  • Students who register into an in class only course section and who are unfamiliar with D2L and ACM learning tools are recommended to take the necessary time to fully explore these learning tools prior to the start of class.
  • Students who register into an online or blended course section and who are unfamiliar with D2L and ACM learning tools are recommended to take BMC 352 Learning Online.

Required Tools

For online and blended delivery, students should have access to their own computer with required software, Internet connection, a headset with speakers and microphone, webcam, and a monitor large enough to display multiple applications (or the use of two monitors). Students should test their environment prior to the start of class to ensure everything is working properly.

Required Software

Textbooks

Attendance

It is strongly recommended that students attend every class. It is the responsibility of the student to communicate potential absenteeism to the instructor.

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Prerequisites

  • This course does not have prerequisites, students must however meet the recommendations and requirements in the Notes section along with any proficiencies identified below.

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Proficiencies

  • Students who register into an online or blended course section and who are unfamiliar with D2L and ACM learning tools are recommended to take BMC 352 Learning Online.
  • Students must be familiar with the personal computer, keyboard and mouse.
  • Students must have Microsoft Windows skills and knowledge, and be able to perform the following tasks:
    • start and run Windows
    • use the taskbar, Start button and Help feature
    • use Minimize, Maximize, Restore Down/Up and Close
    • use the left and right mouse buttons appropriately
    • understand file management techniques
    • navigate between files, folders, or drives.

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Applies Towards the Following Certificate(s)




Sections

  ICT 287 - 008 Data Modeling for IT Projects  
  Spring 2017   Status:  Available
 
Online:   Wed 6:00PM - 9:00PM
12 Apr 2017 to 14 Jun 2017
Number of Sessions: 10 Sessions
Hours: 30.00
Course Fees:   Flat Fee non-credit    $825.00
 
Delivery Options:  Online Synchronous
Instructor(s): Doris Schupp
  Section Notes:  

COURSE SCHEDULE AND DELIVERY

This course has 10 classes scheduled once per week for 10 weeks. This course is delivered in an online format. Classes are held online only synchronously in real time. Click the '10 Sessions' link above for details.

PREREQUISITES

There are no prerequisites for this course.

PROFICIENCIES

Students who are unfamiliar with D2L / ACM are recommended to take BMC 352 Learning Online

TRANSFER AND WITHDRAWAL FEES

A $25 fee applies for course withdrawals and transfers. For our standard Refund, Withdrawal and Transfer Policy visit conted.ucalgary.ca/refund

  
 


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