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COMP101 Foundations of Information Systems

Introduction to information systems for the management and exploitation of data and information, and to relational databases.

Information and communications technology (ICT) impacts almost every facet of our day-to-day lives. Virtually all aspects of business, health, entertainment and society rely upon some form of ICT to manage and coordinate vast resources of data and information. This paper provides an entry into the world of ICT and explores topics including: computability, data analysis, information storage and processing, and database management techniques (with emphasis on relational databases). No previous experience in ICT is required, and the skills developed in this paper are taught in a self-contained manner. Upon completion of this paper, students will have developed simple information systems to manage the information processing requirements of a small business exemplar. These skills can be further developed through continued study of an ICT-related discipline (eg Information Science or Computer Science).

Students from all disciplines would benefit from this paper; even if you're not majoring in an ICT discipline, enrolling in this paper will give you the fundamental skills to help navigate our ICT-centric world.

Paper title Foundations of Information Systems
Paper code COMP101
Subject Computer and Information Science
EFTS 0.1500
Points 18 points
Teaching period(s) First Semester, Second Semester
Domestic Tuition Fees (NZD) $1,018.05
International Tuition Fees (NZD) $4,320.00

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Restriction
BSNS 106
Schedule C
Arts and Music, Commerce, Science
Course outline
View the most recent Course Outline
Learning Outcomes
Students who successfully complete the paper will be able to
  1. Explain different types of data; the distinctions between data, information, business intelligence and knowledge; and the ways in which data is used by organisations, including business intelligence and decision support
  2. Explain the process of data collection and identify issues relating to data quality, ethics, privacy and security
  3. Analyse data to extract information and business intelligence
  4. Explain the range of information systems (IS), their components and their role in supporting organisations to add value and support their strategy
  5. Explain different IS-related roles and the associated skills and attributes
  6. Explain basic concepts of relational databases, comprehend entity-relationship diagrams and use them to model data requirements, implement these requirements using a relational database system, and be able to read and write basic SQL statements
  7. Understand contemporary trends, such as big data, cloud computing, green computing and the Internet of Things, and their implications for individuals and organisations
  8. Appreciate the issue of security, the range of threats, mitigation strategy and encryption
  9. Understand basic concepts of information processing (eg algorithm, programming language, compiler)
Contact
First Semester Coordinator: grant.dick@otago.ac.nz
Second Semester Coordinator: tony.savarimuthu@otago.ac.nz
Teaching staff
Chris Edwards, Gary Burrows, Mark George, Dr Nigel Stanger
Teaching Arrangements
Two 1-hour lectures per week

One 2-hour lab per week
Textbooks
Textbooks are not required for this paper.
Graduate Attributes Emphasised
Information literacy, scholarship, ethics, self-motivation.
View more information about Otago's graduate attributes.

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Timetable

First Semester

Location
Dunedin
Teaching method
This paper is taught On Campus
Learning management system
Blackboard

Computer Lab

Stream Days Times Weeks
Attend one stream from
A1 Monday 15:00-16:50 9-15, 17-22
A2 Monday 15:00-16:50 9-15, 17-22
A3 Wednesday 13:00-14:50 9-15, 17-22
A4 Wednesday 13:00-14:50 9-15, 17-22
A5 Thursday 13:00-14:50 9-15, 17-22
A6 Thursday 13:00-14:50 9-15, 17-22

Lecture

Stream Days Times Weeks
Attend
L1 Monday 13:00-13:50 9-15, 17-22
Wednesday 12:00-12:50 9-15, 17-22

Second Semester

Location
Dunedin
Teaching method
This paper is taught On Campus
Learning management system
Blackboard

Computer Lab

Stream Days Times Weeks
Attend one stream from
A1 Monday 13:00-14:50 28-34, 36-41
A2 Monday 13:00-14:50 28-34, 36-41
A3 Tuesday 15:00-16:50 28-34, 36-41
A4 Tuesday 15:00-16:50 28-34, 36-41

Lecture

Stream Days Times Weeks
Attend
L1 Monday 11:00-11:50 28-34, 36-41
Wednesday 09:00-09:50 28-34, 36-41

Introduction to information systems for the management and exploitation of data and information, and to relational databases.

Information and communications technology (ICT) impacts almost every facet of our day-to-day lives. Virtually all aspects of business, health, entertainment and society rely upon some form of ICT to manage and coordinate vast resources of data and information. This paper provides an entry into the world of ICT and explores topics including: computability, data analysis, information storage and processing, and database management techniques (with emphasis on relational databases). No previous experience in ICT is required, and the skills developed in this paper are taught in a self-contained manner. Upon completion of this paper, students will have developed simple information systems to manage the information processing requirements of a small-business exemplar. These skills can be further developed through continued study of an ICT-related discipline (eg Information Science or Computer Science).

Students from all disciplines would benefit from this paper; even if you're not majoring in an ICT discipline, enrolling in this paper will give you the fundamental skills to help navigate our ICT-centric world.

Paper title Foundations of Information Systems
Paper code COMP101
Subject Computer and Information Science
EFTS 0.1500
Points 18 points
Teaching period(s) First Semester, Second Semester, Summer School
Domestic Tuition Fees Tuition Fees for 2018 have not yet been set
International Tuition Fees Tuition Fees for international students are elsewhere on this website.

^ Top of page

Restriction
BSNS 106
Schedule C
Arts and Music, Commerce, Science
Notes
Pending approval, this paper may be offered for 2018 Summer School.
Course outline
View the most recent Course Outline
Paper Structure
Contact
Co-ordinator: grant.dick@otago.ac.nz
Teaching staff
Co-ordinator: Dr Grant Dick
Chris Edwards, Gary Burrows, Dr Nigel Stanger
Teaching Arrangements
First and Second Semesters:
Two 1-hour lectures per week
One 2-hour lab per week

Summer School:
Four 1-hour lectures per week
Two 2-hour labs per week
Textbooks
Textbooks are not required for this paper.
Graduate Attributes Emphasised
Information literacy, scholarship, ethics, self-motivation.
View more information about Otago's graduate attributes.
Learning Outcomes
Students who successfully complete the paper will be able to
  1. Explain different types of data; the distinctions between data, information, business intelligence and knowledge; and the ways in which data is used by organisations, including business intelligence and decision support
  2. Explain the process of data collection and identify issues relating to data quality, ethics, privacy and security
  3. Analyse data to extract information and business intelligence
  4. Explain the range of information systems (IS), their components and their role in supporting organisations to add value and support their strategy
  5. Explain different IS-related roles and the associated skills and attributes
  6. Explain basic concepts of relational databases, comprehend entity-relationship diagrams and use them to model data requirements, implement these requirements using a relational database system, and be able to read and write basic SQL statements
  7. Understand contemporary trends, such as big data, cloud computing, green computing and the Internet of Things, and their implications for individuals and organisations
  8. Appreciate the issue of security, the range of threats, mitigation strategy and encryption
  9. Understand basic concepts of information processing (eg algorithm, programming language, compiler)

^ Top of page

Timetable

First Semester

Location
Dunedin
Teaching method
This paper is taught On Campus
Learning management system
Blackboard

Computer Lab

Stream Days Times Weeks
Attend one stream from
A1 Monday 15:00-16:50 9-13, 15-22
A2 Monday 15:00-16:50 9-13, 15-22
A3 Wednesday 13:00-14:50 9-13, 15-16, 18-22
A4 Wednesday 13:00-14:50 9-13, 15-16, 18-22
A5 Thursday 13:00-14:50 9-13, 15-22
A6 Thursday 13:00-14:50 9-13, 15-22

Lecture

Stream Days Times Weeks
Attend
L1 Monday 13:00-13:50 9-13, 15-22
Wednesday 12:00-12:50 9-13, 15-16, 18-22

Second Semester

Location
Dunedin
Teaching method
This paper is taught On Campus
Learning management system
Blackboard

Computer Lab

Stream Days Times Weeks
Attend one stream from
A1 Monday 13:00-14:50 28-34, 36-41
A2 Monday 13:00-14:50 28-34, 36-41
A3 Tuesday 15:00-16:50 28-34, 36-41
A4 Tuesday 15:00-16:50 28-34, 36-41

Lecture

Stream Days Times Weeks
Attend
L1 Monday 11:00-11:50 28-34, 36-41
Wednesday 09:00-09:50 28-34, 36-41

Summer School

Location
Dunedin
Teaching method
This paper is taught On Campus
Learning management system
Blackboard

Computer Lab

Stream Days Times Weeks
Attend
A1 Tuesday 15:00-15:50 2-5, 7
Thursday 15:00-15:50 2-7

Lecture

Stream Days Times Weeks
Attend
A1 Monday 14:00-14:50 2-7
Tuesday 14:00-14:50 2-5, 7
Wednesday 14:00-14:50 2-7
Thursday 14:00-14:50 2-7