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BSNS112 Interpreting Business Data

Introduction to types of business decisions and selection of appropriate quantitative or qualitative data gathering techniques. Characteristics of data types, application of tolls, interpretations of results and ethical issues.

Paper title Interpreting Business Data
Paper code BSNS112
Subject Business Studies
EFTS 0.1500
Points 18 points
Teaching period(s) First Semester, Second Semester
Domestic Tuition Fees (NZD) $813.45
International Tuition Fees Tuition Fees for international students are elsewhere on this website.

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Restriction
BSNS 102, STAT 110, STAT 115
Schedule C
Commerce
Notes
This is a required paper for BCom from 2017 (to be taken in place of BSNS 102 by students completing under earlier regulations).
Contact
warren.mcnoe@otago.ac.nz
Teaching staff
Warren McNoe (Economics), Sebastian Filep (Tourism), Peter Whigham (first semester) (Information Science) and Grant Dick (second semester) (Information Science)
Textbooks
To be advised
Graduate Attributes Emphasised
Critical Thinking, Research, Interdisciplinary Perspective, Scholarship, Ethics.
View more information about Otago's graduate attributes.
Learning Outcomes
Students who successfully complete the paper will
  • Be able to describe different types of business decisions and their associated characteristics
  • Understand the process of business decisions, including the articulation of relevant questions, data collection, data analysis and interpretation
  • Be able to select an appropriate quantitative or qualitative technique to answer a given question, taking into account its strengths and weaknesses and the characteristics of the data
  • Be familiar with some of the tools used to perform quantitative and qualitative data analysis
  • Demonstrate awareness of ethical and privacy issues relating to data collection and analysis
  • Be able to interpret critically the result of data analysis

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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 Tuesday 09:00-09:50 10-15, 18
A2 Tuesday 09:00-09:50 10-15, 18
A3 Tuesday 10:00-10:50 10-15, 18
A4 Tuesday 10:00-10:50 10-15, 18
A5 Tuesday 12:00-12:50 10-15, 18
A6 Tuesday 12:00-12:50 10-15, 18
A7 Tuesday 13:00-13:50 10-15, 18
A8 Tuesday 13:00-13:50 10-15, 18
A9 Wednesday 09:00-09:50 10-15, 17-18
A10 Wednesday 09:00-09:50 10-15, 17-18
A11 Wednesday 10:00-10:50 10-15, 17-18
A12 Wednesday 10:00-10:50 10-15, 17-18
A13 Thursday 09:00-09:50 10-15, 17-18
A14 Thursday 09:00-09:50 10-15, 17-18
A15 Thursday 10:00-10:50 10-15, 17-18
A16 Thursday 10:00-10:50 10-15, 17-18
A17 Thursday 11:00-11:50 10-15, 17-18
A18 Thursday 11:00-11:50 10-15, 17-18

Lecture

Stream Days Times Weeks
Attend one stream from
A1 Monday 13:00-13:50 9-15, 17-22
A2 Monday 17:00-17:50 9-15, 17-22
AND one stream from
B1 Tuesday 15:00-15:50 9-15, 18-22
B2 Tuesday 16:00-16:50 9-15, 18-22
AND one stream from
C1 Wednesday 13:00-13:50 9-15, 17-22
C2 Wednesday 17:00-17:50 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 Tuesday 10:00-10:50 29-34, 36-37
A2 Tuesday 10:00-10:50 29-34, 36-37
A3 Tuesday 11:00-11:50 29-34, 36-37
A4 Tuesday 11:00-11:50 29-34, 36-37
A5 Tuesday 13:00-13:50 29-34, 36-37
A6 Tuesday 13:00-13:50 29-34, 36-37
A7 Tuesday 14:00-14:50 29-34, 36-37
A8 Tuesday 14:00-14:50 29-34, 36-37
A9 Wednesday 09:00-09:50 29-34, 36-37
A10 Wednesday 09:00-09:50 29-34, 36-37
A11 Wednesday 10:00-10:50 29-34, 36-37
A12 Wednesday 10:00-10:50 29-34, 36-37

Lecture

Stream Days Times Weeks
Attend
A1 Monday 13:00-13:50 28-34, 36-41
Tuesday 09:00-09:50 28-34, 36-41
Wednesday 13:00-13:50 28-34, 36-41

Introduction to types of business decisions and selection of appropriate quantitative or qualitative data gathering techniques. Characteristics of data types, application of tolls, interpretations of results and ethical issues.

Paper title Interpreting Business Data
Paper code BSNS112
Subject Business Studies
EFTS 0.1500
Points 18 points
Teaching period(s) First Semester, Second Semester
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 102, STAT 110, STAT 115
Schedule C
Commerce
Notes
This is a required paper for BCom from 2017 (to be taken in place of BSNS 102 by students completing under earlier regulations).
Contact
warren.mcnoe@otago.ac.nz
Teaching staff
Warren McNoe (Economics), Sebastian Filep (Tourism)
Textbooks
To be advised.
Graduate Attributes Emphasised
Critical Thinking, Research, Interdisciplinary Perspective, Scholarship, Ethics.
View more information about Otago's graduate attributes.
Learning Outcomes
Students who successfully complete the paper will:
  • Be able to describe different types of business decisions and their associated characteristics
  • Understand the process of business decisions, including the articulation of relevant questions, data collection, data analysis and interpretation
  • Be able to select an appropriate quantitative or qualitative technique to answer a given question, taking into account its strengths and weaknesses and the characteristics of the data
  • Be familiar with some of the tools used to perform quantitative and qualitative data analysis
  • Demonstrate awareness of ethical and privacy issues relating to data collection and analysis
  • Be able to interpret critically the result of data analysis

^ 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 Tuesday 09:00-09:50 10-13, 15-18
A2 Tuesday 09:00-09:50 10-13, 15-18
A3 Tuesday 10:00-10:50 10-13, 15-18
A4 Tuesday 10:00-10:50 10-13, 15-18
A5 Tuesday 12:00-12:50 10-13, 15-18
A6 Tuesday 12:00-12:50 10-13, 15-18
A7 Tuesday 13:00-13:50 10-13, 15-18
A8 Tuesday 13:00-13:50 10-13, 15-18
A9 Wednesday 09:00-09:50 10-13, 15-16, 18-19
A10 Wednesday 09:00-09:50 10-13, 15-16, 18-19
A11 Wednesday 10:00-10:50 10-13, 15-16, 18-19
A12 Wednesday 10:00-10:50 10-13, 15-16, 18-19
A13 Thursday 09:00-09:50 10-13, 15-18
A14 Thursday 09:00-09:50 10-13, 15-18
A15 Thursday 10:00-10:50 10-13, 15-18
A16 Thursday 10:00-10:50 10-13, 15-18
A17 Thursday 11:00-11:50 10-13, 15-18
A18 Thursday 11:00-11:50 10-13, 15-18

Lecture

Stream Days Times Weeks
Attend one stream from
A1 Monday 13:00-13:50 9-13, 15-22
A2 Monday 17:00-17:50 9-13, 15-22
AND one stream from
B1 Tuesday 15:00-15:50 9-13, 15-22
B2 Tuesday 16:00-16:50 9-13, 15-22
AND one stream from
C1 Wednesday 13:00-13:50 9-13, 15-16, 18-22
C2 Wednesday 17:00-17:50 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 Tuesday 10:00-10:50 29-34, 36-37
A2 Tuesday 10:00-10:50 29-34, 36-37
A3 Tuesday 11:00-11:50 29-34, 36-37
A4 Tuesday 11:00-11:50 29-34, 36-37
A5 Tuesday 13:00-13:50 29-34, 36-37
A6 Tuesday 13:00-13:50 29-34, 36-37
A7 Tuesday 14:00-14:50 29-34, 36-37
A8 Tuesday 14:00-14:50 29-34, 36-37
A9 Wednesday 09:00-09:50 29-34, 36-37
A10 Wednesday 09:00-09:50 29-34, 36-37
A11 Wednesday 10:00-10:50 29-34, 36-37
A12 Wednesday 10:00-10:50 29-34, 36-37

Lecture

Stream Days Times Weeks
Attend
A1 Monday 13:00-13:50 28-34, 36-41
Tuesday 09:00-09:50 28-34, 36-41
Wednesday 13:00-13:50 28-34, 36-41