MATH06082 2016 Data Analytics

General Details

Full Title
Data Analytics
Transcript Title
Data Analytics
Code
MATH06082
Attendance
N/A %
Subject Area
MATH - Mathematics
Department
MKTS - Marketing, Tourism & Sport
Level
06 - NFQ Level 6
Credit
05 - 05 Credits
Duration
Semester
Fee
Start Term
2016 - Full Academic Year 2016-17
End Term
9999 - The End of Time
Author(s)
Cillian OMurchu
Programme Membership
SG_BINTE_H08 201600 Bachelor of Business (Honours) in International Marketing and Languages SG_BMARK_C06 201600 Higher Certificate in Business in Marketing SG_BIMFR_H08 201900 Bachelor of Business (Honours) in Business in International Marketing with French SG_BIMGE_H08 201900 Bachelor of Business (Honours) in Business in International Marketing with German SG_BIMSP_H08 201900 Bachelor of Business (Honours) in Business in International Marketing with Spanish SG_BDIGI_B07 201900 Bachelor of Business in Digital Marketing SG_BSALE_B07 201900 Bachelor of Business in Business in Marketing and Sales
Description

The module is intended to help students to understand and master the necessary skills to interpret numerical and graphical information and describe data appropriately. It will introduce basic concepts and methods of Quantitative Methods and will enable students to solve problems and make decisions using various statistical tools.

Learning Outcomes

On completion of this module the learner will/should be able to;

1.

Carry out a sample survey and be aware of a number of different sampling strategies.

2.

Preform calculations for measures of correlation and regression.

3.

Carry out time series analysis.

4.

Effectively use hypothesis tests for decision making.

5.

Utilise computer software in the solution of statistical problems.

Teaching and Learning Strategies

The student will engage with the content of the module through lectures, tutorials and computer labs.

The student will develop and apply their learning through practical examples and exercise sheets.

The student will generate practical computer solutions in the computer labs using various software packages.

Module Assessment Strategies

Written examination during and at the end of the semester.

Computer solution of statistical problems will be assessed in a practical lab assessment.

Repeat Assessments

Written examination

Indicative Syllabus

1. Sampling: Use random and non-random sampling methods, procedures to be followed in conducting a sample survey. Construct confidence intervals.

2. Time Series: Factors which affect a time series, forecasting future values.

3.Regression and Correlation: Draw scatter diagrams. Calculate linear regression coefficients, calculate measures of correlation and rank correlation, use the regression line for forecasting.

4. Hypothesis Testing: One-Sample Tests of Hypothesis.

5. Data Analysis using software packages.

 

Coursework & Assessment Breakdown

Coursework & Continuous Assessment
40 %
End of Semester / Year Formal Exam
60 %

Coursework Assessment

Title Type Form Percent Week Learning Outcomes Assessed
1 Continuous Assessment Continuous Assessment Assessment 40 % OnGoing 1,2,3,4,5
             
             

End of Semester / Year Assessment

Title Type Form Percent Week Learning Outcomes Assessed
1 Final Exam Final Exam Assessment 60 % End of Term 1,2,3,4,5
             
             

Full Time Mode Workload


Type Location Description Hours Frequency Avg Workload
Lecture Not Specified Lecture 3 Weekly 3.00
Tutorial Not Specified Tutorial 1 Weekly 1.00
Practical Computer Laboratory Computer Lab 2 Weekly 2.00
Independent Learning Not Specified Independent Learning 7 Weekly 7.00
Total Full Time Average Weekly Learner Contact Time 6.00 Hours

Required & Recommended Book List

Recommended Reading
2008-01-01 Quantitative Methods for Business Decisions Thomson
ISBN 1844805743 ISBN-13 9781844805747

Now entering its 6th edition Quantitative Methods for Business Decisions is regarded as one of the clearest, most accurate and comprehensive European textbooks in its field. Each chapter focuses on a selection of statistical techniques, illustrated with examples from across business, marketing, economics, accounting, finance, and public administration, to appeal to students across the business spectrum. Using a rigorous exercise-based approach this title provides in-depth guidance on how to apply the most widely-used statistical methods in business. The extensive coverage provided makes this text suitable for the teaching of quantitative methods across all business disciplines at undergraduate level and MBA courses.

Recommended Reading
2010-01-11 Basic Statistics for Business and Economics with Formula Card (The Mcgraw-Hill/Irwin Series Operations and Decision Sciences) McGraw-Hill/Irwin
ISBN 0077384474 ISBN-13 9780077384470

Lind/Marchal/Wathen: BASIC STATISTICS FOR BUSINESS AND ECONOMICS, Seventh edition is a derivative of the best-selling STATISTICAL TECHNIQUES IN BUSINESS AND ECONOMICS, offering the essential topics of statistical tools and methods delivered in a student friendly, step-by-step format. The text is non-threatening and presents concepts clearly and succinctly with a conversational writing style. All statistical concepts are illustrated with solved applied examples immediately upon introduction. Modern computing tools and applications are introduced, but the text maintains a focus on presenting statistics content as opposed to technology or programming methods, and the seventh edition continues as a students text with increased emphasis on interpretation of data and results.

Recommended Reading
2014-02-20 Business Mathematics (13th Edition) Pearson
ISBN 0321955056 ISBN-13 9780321955050

For courses in business math or the mathematics of business

 

Business Mathematics by Clendenen/Salzman teaches students the mathematical skills they need to be successful in business, emphasizing mastery of business concepts and scenarios that require a mathematical solution. With a strong focus on current issues, real companies, and pragmatic business scenarios, the authors cover the full spectrum of basic business math, placing every concept in context with relevant examples. With time-proven pedagogy, relevant business applications and case studies, and a strong MyMathLab course, this program teaches students mathematical skills and concepts within the context of business applications.

 

This text provides a better teaching and learning experience, for you and your students. Heres how:

  • Improve Results:  MyMathLab delivers proven results in helping students succeed and provides engaging experiences that personalize learning.
  • Grounded in the business world and actual companies:This text presents insights that reflect business realities that students will actually encounter in the business world.
  • Extensive usage of data and graphics: Helps students visualize, analyze, and discuss the information they are working with.
  • Excellent exercises: Gives students a variety of practice to help them understand and master the material.


Note: You are purchasing a standalone product; MyMathLab does not come packaged with this content. MyMathLab is not a self-paced technology and should only be purchased when required by an instructor. If you would like to purchase both the physical text and MyMathLab, search for:

  

0321937031 / 9780321937032 Business Mathematics plus MyMathLab with Pearson eText -- Access Card Package

Package consists of:   

0321431308 / 9780321431301 MyMathLab -- Glue-in Access Card

0321654064 / 9780321654069 MyMathLab Inside Star Sticker

0321955056 / 9780321955050 Business Mathematics

 

Recommended Reading
2008 Basic Business Statistics 12th Edition
ISBN 0132168383 ISBN-13 9780132168380

Module Resources

Non ISBN Literary Resources

Basic Statistics for Business and Economics. Lind, Marchal, Wathen. 5th Ed. 2006 McGraw Hill

Curwin, Jon., Slater, Roger 2008, Quantitative Methods for Business Decisions, 6th ed., Cengage Learning

Gary Clendenen, 2014 Business Mathematics (13th Edition) Pearson

Mark L Berneson,Basic Business Statistics: Concepts and Applications, 12th Edition