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.
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.
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.
Exam papers from previous years should help with your revision - you can get copies of these from the University's exam site. Last year's exam paper is available here.
The exam for MAS1403 will be open-book - you can take anything you like into the exam room!
For a list of exam regulations, including an up-to-date list of University-approved calculators (point 12), click here.
The deadline for the assignment in Semester 1 is 4pm, Wednesday 9th December 2009.
Click here to download the one-page CBA user-guide given out in the first practical session. A more detailed CBA instruction manual is available to download here.
To find out how to access the CBAs from home, click here.
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.
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
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
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.