E-Education Infrastructure
 
STUDENT
 
FACULTY
 
SCHOOL
 
SUPPORT
 
PUBLIC
 
SIGNUP
DAILY QUIZ
 
     
  B L O G    P O S T   
From:   To:     

Post
ISM 324 Syllabus — 2027 Revision
Posted on 10/31/2026) by Liping Liu
(ISM 324 Syllabus — 2027 Revision) Course Information Database Management for Information Systems · ISM 324-001 (3 credits) · The University of Akron · Undergraduate · In person · Fall 2027 Meetings: Mondays and Wednesdays, 3:30–4:45 PM, CBA 176 (computer lab)... more >>
641 Week 10 Outline
Posted on 10/26/2026) by Liping Liu
(641 Week 10 Outline) Review:  1.  Find employees who make more than all managers 2. Find the maximum average salaries of all departments 3. Find the number of columns in EMP table 4... more >>
ISM 602 Week 7 Outline
Posted on 10/10/2026) by Liping Liu
(ISM 602 Week 7 Outline) Review Gamma regression from last week: positive, right-skewed response; log link; constant dispersion; exp(b) - 1 as a percentage effect The three unifying features of generalized linear models (slides): a linear predictor, a random component from the exponential family, and a link function Deviance, residual deviance, and deviance residuals carry over unchanged; only the family and the link change this week Discuss the gamma regression multiple-choice questions Box-Cox Transformation and smearing factors Required Packages and Data: ROCR, default... more >>
ISM 602 Week 6 Outline
Posted on 10/6/2026) by Liping Liu
(ISM 602 Week 6 Outline) Review assumptions of linear regression how to interpret regression results of summary() and plot Required Packages and Data: MASS, caret, homes.csv Three Unifying Features of Generalized Linear Models (slides) Which model works for predicting which business variables (slides) Assumptions of gamma regression: gamma response, independent cases, constant dispersion, and no collinearity  Comparisons of OLS and MLE Concept of MLE: computing likelihood and log likelihood of gamma variable observations y = c(10, 15, 3, 19) or y = homes$totalvalue comparing which model parameters improve the likelihood alpha=1, beta=1, alpha=1, beta = 2, ... more >>
641 Week 7 Outline
Posted on 10/4/2026) by Liping Liu
(641 Week 7 Outline) Lecture 1: Basic SQL DML Statements Preparation: Creating sample Oracle tables using scripts from script loader on ecourse.org and Lookup tables using dictionaries (user_tables, user_constraints, user_cons_columns) Running an Oracle Script... more >>
641 Week 6 Outline
Posted on 9/27/2026) by Liping Liu
(641 Week 6 Outline) Homework Review:  1) HW3-4 Review 2) Identify the functional dependencies in the following tables and then states whether each one is in 1st normal form and 2nd normal form or not... more >>
641 Week 5 Outline
Posted on 9/18/2026) by Liping Liu
(641 Week 5 Outline) Lecture 1: Normalization (Chapter 11 of LIU) Criteria for a good database design Issues with data redundancies The concept of normalization Functional dependency: Tables 1 and 2 First Normal Form: Tables 3 Second Normal Form: Tables 1 and 5 Third Normal Form: Author Editor Example and Job Class Example Lecture 2: Normal Forms Third Normal Form: Table 6 Boyce-Codd Normal Form Additional Examples: Assume a customer can make several loans, with or without other partners... more >>
324: Review I for Database Midterm on 9-23-26
Posted on 9/16/2026) by Liping Liu
(324: Review I for Database Midterm on 9-23-26) Concepts: Databases DBMS Logical Data Models Hierarchical Models Network Models Relational Models Primary key Foreign Key Referential Integrity Rules Entities Relationships Mapping Cardinality Optionality Attributes Composite Attributes Multi-valued Attributes Relations Relational Models Recursive Relationships Weak Entities Super and Sub Entities Gerund SQL Constraints  Oracle Meta Tables Oracle Data Types   Skills and Techniques: Conceptual Data Modeling (Entity-Relationship Diagramming) from the understanding of business objects and their relationships or from forms, reports, tables, and other data carrier to understand data requirements... more >>
Post
     
 
Blog Posts    News Digest    Contact Us    About Developer    Privacy Policy

©1997-2026 ecourse.org. All rights reserved.