MAS1403: Quantitative Methods for Business Management

Semesters 1 and 2, 2009-2010

Lecturers: Dr. Lee Fawcett (Semester 1) and Dr. Andy Golightly (Semester 2)

MAS1403 students should "favourite" this page!

This page contains additional information about the introductory module in Quantitative Methods for Business Management (MAS1403). Here you will find resources for Semester 1 of this course - please go to Andy Golightly's page for Semester 2 materials.

Schedule of lectures and tutorials

Lectures take place on Mondays at 11 o'clock (Business Management, Agri-Business Management, Marketing) or 3 o'clock (Marketing and Management, Acountancy & Finance and Business Accountancy & Finance) in the Curtis Auditorium in the Herschel Building.

In addition to the Monday lecture, each student should also attend one tutorial session later on in the week. Due to the size of this class, there are seven tutorial groups (A, B, C, D, E, F and G). The allocation of students to tutorial groups is listed here - please make a note of which group you are in!

The table below shows the times and venues of each tutorial session.

=====================================================
Group           Day     Time      Room                           
=====================================================
 A              Wed     9-10      Herschel LT2          
 B              Wed     12-1      Herschel LT2                            
 C              Thurs   1-2       Herschel LT2
 D              Thurs   2-3       Cassie 2.32
 E              Thurs   3-4       Agriculture CS LT
 F              Fri     9-10      Stephenson F13
 G              Fri     11-12     Bedson LT3                  
====================================================
Occasionally throughout the year, a computer practical session will take the place of the scheduled tutorial session. In Semester 1, this will happen in teaching weeks 2 and 7; every computing session will take place in the Brig, Moss and Pond PC clusters in the Herschel Building (first floor).

The table below shows the times, dates and venues of these sessions.

=======================================================
Group           Day     Time    Dates                            
=======================================================
 A              Wed     9-10    7 October, 11 November          
 B              Tues    1-2     6 October, 10 November                         
 C              Thurs   1-2     8 October, 12 November           
 D              Thurs   2-3     8 October, 12 November                     
 E              Thurs   3-4     8 October, 12 November     
 F              Fri     9-10    9 October, 13 November    
 G              Thurs   10-11   8 October, 12 November      
=======================================================
In addition to the scheduled lecture and tutorials/practicals, I have also timetabled an "Office hour" - Wednesday 1pm-3pm - where I will always be available in my office for students who need extra help.

Click here to download a week-by-week schedule for Semester 1, including deadlines for coursework.

Lecture notes

[Get Acrobat Reader] Lecture notes will be posted below, together with solutions to tutorial exercises. They are in pdf format and you will need Acrobat Reader to view them - click on the link to download your own (free) copy.

You should print out and read lecture notes before each lecture and attempt tutorial questions before each tutorial session - solutions will be posted after the final tutorial session each week. The notes and solutions currently available are shown in red below.

An attendance register will be taken at each tutorial. Please note that a good attendence record will be taken into account when deciding whether to pass students with borderline assignment/exam marks.

Click here to see the list of prize winners and what they won! Please report to me any errors or suggested improvements to these notes.

Assessment

There will be a 1 hour examination at the end of Semester 1 covering Semester 1 material only (30%). There will also be an assignment (10%) and three computer-based assessments (combined total of 10%). This gives a total Semester 1 contribution of 50%; exactly the same assessment pattern will follow in Semester 2.

Accessing your assignment marks

To access your coursework marks for MAS1403, you need to log in to the NESS database system. All of your marks for this course are stored in this system, and maybe for other some other courses too.

To access NESS from a Newcastle University computer (or via RAS), go to https://ness.ncl.ac.uk:444/. Use your usual University login ID and password to enter the system. Your login information is retained until your browser session (all windows!) is closed. So to logout, you need to close the browser. Using the menus in NESS, go to Coursework, then Summary.

By default this will give you all your current Coursework information. To look at a single module, click on one of the module codes. To look at a single unit of coursework, set the pull-down menu to the relevant exercise, e.g. to Exercise 1, rather than the general heading Coursework.

Your coursework marks will appear here throughout the Semester as they are released by me.

Videos

Some short video footage of calculations relevant to various parts of this course will appear here shortly.

Semester 1

Chapter 1: How shops use data

Chapter 1: Data collection and questionnaires

Chapter 1: The Gallup organisation and market research

Chapter 2: Graphical summaries of data

Chapter 4: Means, medians, modes

Chapter 4: Standard deviation

Chapter 4: Standard deviation on the calculator

Chapter 4: Inter-quartile range

Chapter 8: The Binomial distribution

Chapter 8: The Poisson distribution

Chapter 9: The Normal distribution

Chapter 10: The Uniform distribution

Chapter 10: The Exponential distribution

Semester 2

Chapter 1: Confidence intervals (population variance known)

Chapter 1: Confidence intervals (population variance unknown)

Chapter 2: Test for one mean (population variance known)

Video out-takes

Some other stuff

Read about the trial of Janet and Malcolm Collins - "Trial by Mathematics" - here (Lecture 5 - misuse of the multiplication law of probability). Another account is given here, and an account from the time here.

If you're inrerested in why zero factorial (0!) is equal to 1 (as used in the Poisson distribution) take a look at the following links:

If you think your old maths teacher at school was grumpy, take a look at the Math Dragon.


Lee Fawcett
Last modified: Mon May 10 11:55:19 BST 2010