| Post |
|
324 Week 3 Outline
Posted on 9/7/2026) by Liping Liu
(324 Week 3 Outline) Review on Business Data Modeling:
How do you handle composite attributes?
Verb describing relationships and Need to Track Related Records
data on actions may be recorded and so to turn action verbs into objects
Customer buys products
Student reserve books
Orders contains products, direct or indirect relationships?
Employees balance inventories, direct or indirect relationships?
Employee manage accounts
Doctors prescribe tests
Professors teach students
Customers wish-list products
Customers rate Products
Professors advise Students
Patrons checkout Books
Lecture 1: Advanced Entities and Relationships
1) What if relationships have data or attributes? (Chapter 3 of LIU)
Associative Entities or Gerunds: where to keep students grades, Where do you store data on whether a payment is late or not? Bank employees may set up or modify accounts... more >>
|
|
641 Week 3 Outline
Posted on 9/7/2026) by Liping Liu
(641 Week 3 Outline) Review: Course and Sections (why splits), Course and Prerequisites (Two entities or one?), Grade (where to store it), minimum grade required for prerequisites
Lecture 1: Forward Engineering: ERD to Relational Model: (Remember these rules, Chapter 6 of LIU)
Each entity set is converted into a table with its attributes as the columns of the table
Depending on the mapping cardinality, you modify the tables to make them related
If the relationship is 1:m or m:1, you put the primary key of the table for one-side entity set into the table for the many-side entity set
If the relationship is m:m, you build a junction table which has the primary keys of both entity sets as columns
If the relationship is 1:1, you can put the primary key of one entity set into the table for another entity set... more >>
|
|
324 Week 2 Outline
Posted on 8/30/2026) by Liping Liu
(324 Week 2 Outline) Review:
Homework Question to Review
Database Concepts:
A record is an array of observations on one entity: Entity (ERD) <—> Record (RM)
Attributes are properties or dimensions of entities (business objects) to be observed, but attributes must be relevant, singled valued, and non-foreign... more >>
|
|
Simple Syllabus for ISM-324: Data Management
Posted on 8/22/2026) by Liping Liu
(Simple Syllabus for ISM-324: Data Management)
Database Management for Information SystemsThe University of AkronUndergraduateISM 324-001 (3 Credits)In-PersonTerm: 2026 Fall
Location
Mondays and Wednesdays: 3:30-4:45 PM; August 24-December 6, 2026... more >>
|
|
Simple Syllabus for ISM-641: Data Management
Posted on 8/22/2026) by Liping Liu
(Simple Syllabus for ISM-641: Data Management)
Business Database SystemsThe University of AkronGraduateISM 641-801 (3 Credits)In-PersonTerm: 2026 Fall
Location
Wednesdays: 6:00-8:30 PM; August 24-December 6, 2026... more >>
|
|
641 Week 2 Outline
Posted on 8/13/2026) by Liping Liu
(641 Week 2 Outline)
Review:
Homework Questions?
Database Concepts:
A record is an array of observations on one entity: Entity (ERD) <—> Record (RM)
Attributes are properties or dimensions of entities (business objects) to be observed, but attributes must be relevant, singled valued, and non-foreign... more >>
|
|
324 Week 1 Outline
Posted on 8/13/2026) by Liping Liu
(324 Week 1 Outline) Concept of Database:
Data, Information, and Knowledge
Database is a set of records well organized using a particular logical data model
Records: A records is an array of observed characteristics (or attributes) on one object (entity)
Well Organized: 1) related records are connected; 2) no unnecessary redundancy
Logical Data Models: Hierarchical, Network, Relational
Database Development Process
Data Modeling: Entity, Attribute, relationships
Database Implementation: DBMS
Data Modeling (Bank Example: Customers, Accounts, and Transactions): Identify Objects, Attributes, and Relationships
Identify Objects (entities): (1) objects can be tangible such as a customer or intangible such as an account or meeting; (2) objects must be observable at an instant in time; (3) objects must have multiple attributes (or dimensions) to be observed... more >>
|
|
641 Week 1 Outline
Posted on 8/13/2026) by Liping Liu
(641 Week 1 Outline) Concept of Database:
Database is a set of records well organized using a particular logical data model
Records: A records is an array of observed characteristics (or attributes) on one object (entity)
Well Organized: 1) related records are connected; 2) no unnecessary redundancy
Logical Data Models: Hierarchical, Network, Relational
Database Development Process
Data Modeling: Entity, Attribute, relationships
Database Implementation: DBMS
CASE Tool: Oracle Data Modeler
Terminology Confusion: logical model = conceptual model, relational model = logical model
How to draw entities, create attributes, and refine relationships using Oracle Data Modeler
Data Modeling: Identify Objects, Attributes, and Relationships
Identify Objects: (1) objects can be tangible such as a customer or intangible such as an account or meeting; (2) objects must be observable at an instant in time; (3) objects must have multiple attributes (or dimensions) to be observed... more >>
|
|
Syllabus for ISM 602: Programming for Data Analytics
Posted on 7/13/2026) by Liping Liu
(Syllabus for ISM 602: Programming for Data Analytics) Fall 2026 Simple Syllabus at
https://uakron.simplesyllabus.com/en-US/doc/xr1vrrd2s/2026-Fall-ISM-602-801-Programming-for-Data-Analytics?mode=view
Syllabus for Fall 2035 and Prior Terms:
Instructor: Dr... more >>
|
|
Syllabus for ISM 641: Database Management
Posted on 7/13/2026) by Liping Liu
(Syllabus for ISM 641: Database Management) Simple Syllabus for Fall 2026:
https://uakron.simplesyllabus.com/en-US/doc/yqmtyl2pu/2026-Fall-ISM-641-801-Business-Database-Systems?mode=view
Syllabus for Prior Terms:
Instructor: Dr... more >>
|
|
Syllabus for ISM 324: Data Management
Posted on 7/13/2026) by Liping Liu
(Syllabus for ISM 324: Data Management) Simple Syllabus for Fall 2026 at:
https://uakron.simplesyllabus.com/en-US/doc/bu1s6huzu/2026-Fall-ISM-324-001-Database-Management-for-Information-Systems?mode=view
Syllabus for Prior Terms:
Instructor: Dr... more >>
|
| Post |
