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CIT304Sciences2 Unitsintermediate

Data Management

This course introduces the basic principles of data, information, and knowledge organization and management. It explores various definitions of data, information, and knowledge, and examines information systems where data is created and managed. The course covers practical methods for organizing and managing data in different information systems and contexts, emphasizing the application of data management principles and techniques for effective data collection, organization, and management. It also aims to improve your knowledge of the principles of effective creation, organization and management of data.

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90h
Study Time
13
Weeks
7h
Per Week
basic
Math Level
Course Keywords
Data ManagementInformation SystemsData OrganizationKnowledge ManagementDatabases

Course Overview

Everything you need to know about this course

Course Difficulty

Intermediate Level
Builds on foundational knowledge
65%
intermediate
➕
Math Level
Basic Math
🔬
Learning Type
Hands-on Practice

Course Topics

Key areas covered in this course

1

Data Concepts

2

Information Systems

3

Data Organization

4

Data Management

5

Database Systems

6

Data Quality Control

Total Topics6 topics

Requirements

Knowledge and skills recommended for success

Computer Fundamentals

💡 Don't have all requirements? Don't worry! Many students successfully complete this course with basic preparation and dedication.

Assessment Methods

How your progress will be evaluated (3 methods)

assignments

Comprehensive evaluation of course material understanding

Written Assessment

tutor-marked assessments

Comprehensive evaluation of course material understanding

Written Assessment

final examination

Comprehensive evaluation of course material understanding

Written Assessment

Career Opportunities

Explore the career paths this course opens up for you

Data Analyst

Apply your skills in this growing field

Database Administrator

Apply your skills in this growing field

Information Manager

Apply your skills in this growing field

System Analyst

Apply your skills in this growing field

Data Quality Manager

Apply your skills in this growing field

Industry Applications

Real-world sectors where you can apply your knowledge

HealthcareFinanceEducationGovernmentE-commerce

Study Schedule Beta

A structured 13-week journey through the course content

Week
1

Module 1:

2h

Unit 1: Data, information and knowledge

2 study hours
  • •Define data, information, and knowledge. Understand the purposes of data management and its overlap with information and knowledge management.
Week
2

Module 1:

2h

Unit 2: Data, information and knowledge management

2 study hours
  • •Explain the purposes of data management and its activities in the data life cycle. Describe the relationship between data management, information management, and knowledge management.
Week
3

Module 1:

2h

Unit 3: Information systems for data management

2 study hours
  • •Describe the goals, key features, and processes of information systems. Explain how these goals are interwoven with data and information management.
Week
4

Module 1:

2h

Unit 4: Languages for data organization

2 study hours
  • •Explain the nature and importance of natural and special languages for social communication and data creation. Describe how language symbols, rules, and usages determine data creation.
Week
5

Module 1:

2h

Unit 5: Data representation in the computer

2 study hours
  • •Explain the binary number system and its use in computers. Understand how computers use signals to represent alphabetic, numeric, and other characters.
Week
6

Module 2:

2h

Unit 6: Data planning and policy making

2 study hours
  • •Explain the role of data planning in data management. Describe the aims of information resource management and the importance of data and information policies.
Week
7

Module 2:

2h

Unit 7: Data definition and structure

2 study hours
  • •Describe the differences between structured and unstructured data. Explain how data is pre-defined and subdivided for understanding and manipulation.
Week
8

Module 2:

2h

Unit 8: Data arrangement, grouping and modeling

2 study hours
  • •Arrange data using different sorting orders. Describe data models and their purposes. Explain hierarchical and network modes of arranging data.
Week
9

Module 2:

2h

Unit 9: Data capture, acquisition and collection

2 study hours
  • •Distinguish between primary and secondary data. Describe the differences between data creation, collection, and acquisition. Explain data capture methods and devices.
Week
10

Module 3:

2h

Unit 10: Data quality control - fundamental concepts

2 study hours
  • •Explain the importance of data quality control. Distinguish between accuracy, validity, and reliability of data and instruments.
Week
11

Module 3:

2h

Unit 11: Data quality control - context and strategies

2 study hours
  • •Explain data quality control contexts and strategies. Describe methods for data quality control in laboratories and research. Contrast human and computerized approaches.
Week
12

Module 3:

2h

Unit 12: Data storage media and organization

2 study hours
  • •Explain the importance of data storage and the relationship between storage and retrieval. Describe different data storage media and how data is organized in paper and computer formats.
Week
13

Module 3:

4h

Unit 13: Data storage in computer databases

2 study hours
  • •Explain the importance of databases to organizations. Define databases and database management systems. Describe database concepts like tables, records, and fields.

Unit 14: Creating and using databases: Common tasks

2 study hours
  • •Describe common tasks in creating and using databases, including creating tables, updating records, sorting, and creating indexes.

This study schedule is in beta and may not be accurate. Please use it as a guide and consult the course outline for the most accurate information.

Course PDF Material

Read the complete course material as provided by NOUN.

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Study Tips & Exam Preparation

Expert tips to help you succeed in this course

1

Create flashcards for key definitions in Units 1-3

2

Practice converting decimal to binary numbers from Units 4-5 weekly

3

Design sample database tables and forms from Units 7-9

4

Compare and contrast data quality strategies from Units 10-11 using real-world examples

5

Review all Tutor Marked Assignments (TMAs) and focus on areas of weakness

6

Create a study group to discuss complex topics and share notes

7

Allocate specific time slots for studying each unit and stick to the schedule

8

Use online resources and videos to supplement your understanding of database concepts

9

Practice SQL queries from Units 13-15 weekly

10

Create concept maps linking Units 3-5 database concepts

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