首页 > > 详细

代做MIS631 – A, B Spring 2025 Data Management代写SQL语言

项目预算:   开发周期:  发布时间:   要求地区:

MIS631 – A, B

Spring 2025

Course Title: Data Management

Program(s): BI&A, MSIS

Description:

This 2-credit course focuses on data and database management, with an emphasis on modeling and design, and their application to business decision making. The course provides a conceptual understanding of both organizational and technical issues associated with data. The central theme concerns data modeling and databases.  We examine organizational approaches to managing and integrating data. Among the topics included are normalization, entity-relationship modeling, relational database design, SQL, and data definition language (DDL). Discussed are specific applications such as strategic data management, master data management, and physical database design.  The course concludes with a brief overview of Decision Support Systems, data warehousing and business intelligence, NoSQL databases (e.g., MongoDB) and cloud computing. The course includes several case studies and modeling and design projects.

Students in MIS 631 must also enroll in the associated 1-credit lab course MIS 632 Managing Data Lab.

Course Objectives:

1. Understand the role of data in the competitiveness and strategy of organizations

2. Design relational databases in normalized form.

3. Build SQL queries

4. Develop and critique entity-relationship (ER) data models

5. Elucidate advanced data modeling issues e.g., temporal data modeling, meta-data, etc.

6. Identify and analyze data quality in a business context

7. Develop and evaluate strategic data plans; e.g., Master data management plan, enterprise data strategy & models

8. Understand the growing importance and issues associated with data warehousing, business intelligence and analytics, and big data.

ASSIGNMENTS

Individual & Team Assignments (10%)

Review and comment on several assigned readings from the research and professional literature and modeling exercises. Developing a business case.

SQL Certification (10%)

Required SQL Module: https://www.sololearn.com/Course/SQL/

Information Modeling Exam (15%)

Mid Term (15%) - Individual

The mid-term paper is an individual assignment and is technology focused. References and all sources used (articles, texts, Web sites, etc.) must be provided in standard format.

Team Database Project (40%)

Students will develop a functional database that will be demonstrated at the conclusion of the course. The assignment includes business problem analysis, identification of database requirements, data modeling, creation of the database, and the development of business specifications for key processes. The final deliverable consists of a presentation and a set of PowerPoint slides.

Participation (10%)

Students will be assessed on their contributions to in-class discussions throughout the semester.

Course Outcomes

After taking this course, students are able to:

· Understand basic deep modeling constructs

· Creatively apply data modeling to solve real business problems

· Assess model performance accurately to understand each model’s pros/cons

· Explain models, interpret model outcomes, and understand potential bias

· Execute SQL queries

Prerequisites: Cross-listing: show cross-listed course number(s)

Grading Percentages:  HW 20%     Class work 10%     Mid-term 20%

SQL Certificate 10%     Database Projects 40%

Other (specify both percent and kind of work)

Credits: 2 credits Other

For Graduate Credit toward Degree or Certificate
Yes No Not for Dept. Majors Other

PREREQUISITES

· Students must satisfy the requirement for enrollment in either the BI&A or MIS master’s degree programs.

TEXTBOOK(S) OR REFERENCES

Required Textbook: Database Concepts (9th Edition), by David Kroenke, David Auer, Scott

L. Vandenberg, Robert C. Yoder. Pearson 2019.

Required SQL Module: https://www.sololearn.com/Course/SQL/

Required Software:

ERwin

Department Point of Contact and Title: Joseph Morabito; [email protected]

Syllabus:

NOTE:  -à Indicates an MIS 632 lab exercise

Session

Subject(s)

Assignment(s)

Tuesday

Jan 21

First Day of Spring 2025 Semester

PART 1 - DATABASE FOUNDATIONS

1

Jan 27

Introduction to MIS631

Introduction to Data Management Functions

Factors Affecting Data Management Functions

Read Ch. 1

-à ERwin installation

--> Install PostgreSQL

2

Feb 3

Tutorial on Database and Database Design

Read Ch. 2

-à ERwin basics+ normalization

3

Feb 10

Organizations and Data

Research paper presentations & discussion

Prepare research paper presentations (Team)

Feb 17

President’s Day – No Class

4

Tuesday

Feb 18

Stevens follows the Monday Schedule

Query Languages – SQL

Read Ch 3, 3A

-à ERwin tutorial + examples

PART II – Data Modeling

5

Feb 24

Tutorial on Abstraction and ER Data Modeling

Read Ch 4, 5

-à SQL queries - basics

6

Mar 3

Extended ER; Generalizating Data Model Patterns

Information Modeling

-à Construct complex SQL queries

7

Mar 10

Information Modeling – Advance Modeling (continued);

Contracts and Formal Methods

Discuss Key Semester Learnings

-à SQL queries - advanced

PART III - DATABASE MANAGEMENT

Mar 16 – Mar 23

Spring Break

8

Mar 24

Data and Database Administration Functions

Physical Database Design

Strategic Data Modeling

Major Data Project Requirements Presented

-à Extended ER data modeling

Information Modeling Exam due (25%)

è Major Project

9

Mar 31

Application of Data Modeling and Database Design to a business area

Major Data Project Requirements Presented

-à Extended ER data modeling II – complex business examples

Midterm Exam Due

è Major Project (continued)

10

Apr 7

Data Warehouse, Business Intelligence, and Big Data

Row & Column data storage

MapReduce exercise

---> Develop a DB model in Postgres using DDL

è Major Project (continued)

11

Apr 14

Cloud Computing and Data Architectures

Review Final Project with Teams

-à Install a database in the cloud (AWS)

è Major Project (continued)

12

Apr 21

NoSQL: document, key-value, column-wide, graph

Review Final Project with Teams

è Major Project (continued)

Sunday Apr 28

Final Team Projects must be submitted in Canvas

May 5

Major Data Project Presentation (Team)

Groups:

13

May 12

Major Data Project Presentation (Team)

Groups:

-à Use Erwin for data design project: modeling and database design

Last Day of Spring 2025 Classes:

May 17

Final Exam Period: Sunday May 11 – Sunday May 18

14

May 19

Major Data Project Presentation (Team)

Groups:

15

Dec

Major Data Project Presentation (Team)

Groups: Overflow



软件开发、广告设计客服
  • QQ:99515681
  • 邮箱:99515681@qq.com
  • 工作时间:8:00-23:00
  • 微信:codinghelp
热点标签

联系我们 - QQ: 9951568
© 2021 www.rj363.com
软件定制开发网!