Module 10
Information Systems and Information Management / Fields
Outline Chapter 12
Chapter 12 Information Systems
12.1 Managing Information
12.2 Spreadsheets
Spreadsheet Formulas
Circular References
Spreadsheet Analysis
12.3 Database Management Systems
The Relational Model
Relationships
Structured Query Language
Database Design
12.4 E-Commerce
Ethical Issues: Politics and the Internet: The Candidate’s View
Related FGCU Courses
http://icarus.fgcu.edu:8080/CourseDescriptions/
ISM 3011 Information Systems
Overview of information systems technology, including flow and control of information in an organization and use in decision making. Focuses on information systems' strategy case studies, current security issues, and technology platforms to prepare students to utilize IT for exploring opportunities and solving problems in a global business environment.
Lesson
Day One
Spreadsheets
Google Sheets
Integration with Forms
Personal Finances
Create a budget in a spreadsheet - Income vs Expenses
For an automated budget use Mint
Day Two
Databases
Database Management Systems
Access
SQL
Project Review
JavaScript Functions and Scope
Project Preview
Fields Report
Think
Discover
Write
Grammarly
Writing Center
Read aloud
Systems Fundamentals (SF)
The underlying hardware and software infrastructure upon which applications are constructed is collectively described by the term "computer systems." Computer systems broadly span the subdisciplines of operating systems, parallel and distributed systems, communications networks, and computer architecture. Traditionally, these areas are taught in a non-integrated way through independent courses. However these sub-disciplines increasingly share important common fundamental concepts within their respective cores. These concepts include computational paradigms, parallelism, cross-layer communications, state and state transition, resource allocation and scheduling, and so on. The Systems Fundamentals Knowledge Area is designed to present an integrative view of these fundamental concepts in a unified albeit simplified fashion, providing a common foundation for the different specialized mechanisms and policies appropriate to the particular domain area.
Information Management (IM)
Information Management is primarily concerned with the capture, digitization, representation, organization, transformation, and presentation of information; algorithms for efficient and effective access and updating of stored information; data modeling and abstraction; and physical file storage techniques. The student needs to be able to develop conceptual and physical data models, determine which IM methods and techniques are appropriate for a given problem, and be able to select and implement an appropriate IM solution that addresses relevant design concerns including scalability, accessibility and usability.
KA Topics:
Information systems as socio-technical systems
Basic information storage and retrieval (IS&R) concepts
Information capture and representation
Supporting human needs: searching, retrieving, linking, browsing, navigating
KA Learning Outcomes:
Describe how humans gain access to information and data to support their needs. [Familiarity]
Describe the advantages and disadvantages of central organizational control over data. [Assessment]
Identify the careers/roles associated with information management (e.g., database administrator, data modeler, application developer, end-user). [Familiarity]
Compare and contrast information with data and knowledge. [Assessment]
Demonstrate uses of explicitly stored metadata/schema associated with data. [Usage]
Identify issues of data persistence for an organization. [Familiarity]