Pre-MM Academic Prep

The fast pace of the MM necessitates that all students have a foundational proficiency in Quantitative Methods and familiarity with Statistics and Economics. To aid in ensuring that you have adequate knowledge in the above subjects, we have liaised with your program instructors to compile a list of online academic prep tutorials for you to review as you prepare for your program.

Each of you comes to the program with a different academic background and different work experiences, so your familiarity with the academic prep tutorials will also vary. It may be that some of the resources on this list are very familiar to you, and you can just quickly review them to make sure you are up to speed, or it may be that you have never covered some of them, and you will need to learn them in depth.

When your classes begin in September 2023, you will need to be familiar with all of the material listed on the academic prep resource list, as classes move along very quickly, and you will need to be able to keep up with your classmates.

All resources below are from Khan Academy unless otherwise indicated. If you have feedback about these academic prep materials, please send it to askmm@sauder.ubc.ca.

Any resources on LinkedIn Learning can be accessed for free with a UBC student email address. To set up your email address, click here

Instructions

Where to begin: Review each section and complete those areas you are currently not comfortable with. Most tutorials include quizzes and practice tests, so completing these is a good way to quickly review if you are familiar with the content.

If you'd like to track your learning progress, you can sign up for a user account with Khan Academy, but it's not required.

Completion times: We have estimated the amount of time to complete each section based on the length of videos and allocating time for the practice questions. It may take you longer or shorter than we have indicated, and after a few sections, you'll begin to get an idea of your speed compared to our estimates.

Disclaimer: These tutorials have not been vetted in-depth. They have been selected based on the concepts included and tutorial descriptions. You are encouraged to explore the content and cover concepts you are unfamiliar with. The aim is to ensure that you have foundational proficiency in these topics, but not all concepts may apply directly to coursework.

All resources are from Khan Academy, unless otherwise indicated.

If you have feedback about these academic prep materials, please send it to askmm@sauder.ubc.ca.

Academic Writing

These resources are recommended by the staff at the UBC Sauder Canaccord Learning Commons

Plagiarism & Citation

1 hour approximate study time.
Critical skills for all of your courses – make sure you know how to cite your work, and understand what your responsibilities are with regard to academic integrity.

Arithmetic & Excel

ARITHMETIC
Relevant for Statistics, Operations, Finance, and Economics.

The Basic Order of Operations -PEMDAS (20 mins)

Fractions (approx. 1 hour 15 mins total)

Linear Equations & Functions

Averages (9 mins)

MICROSOFT EXCEL
Relevant for Statistics, Operations, Finance, and Economics.

  • Excel training - delivered by Microsoft (30 mins - 2 hours approximate study time, depending on previous skill level.) Skip any sections you are already familiar with

Ratio, Proportion, & Percent

Relevant for Finance. 1 hour 20 mins approximate study time.

Ratio, Proportion and Percent (approx. 40 mins) 

Accounting & Financial Statements (approx. 40 mins)

  • Cash versus accrual accounting (13 mins)
  • Three core financial statements (27 mins)

Algebra

Relevant for Statistics, Operations, Finance, and Economics. 19 hours approximate study time.

General

Functions (approx. 1 hour 20 mins total)
(Relevant for Economics)

Logarithms (approx. 45 mins total)
(Relevant for Economics & Finance)

  • Introduction to Logarithms (45 mins)

Introduction to Algebra - All sections (approx. 3 hours 50 mins total)
(Relevant for Statistics/Operations)

  • Overview and history of algebra (35 mins)
  • Introduction to variables (25 mins)
  • Substitution and evaluating expressions (15 mins)
  • Evaluating expressions word problems (15 mins)
  • Writing algebraic expressions introduction (23 mins)
  • Dependent & independent variables (10 mins)
  • Combining like terms (32 mins)
  • Introduction to equivalent algebraic expressions (7 mins)
  • Interpreting linear expressions (10 mins)
  • Division by zero (15 mins)
  • Practice test (25 mins)

One-variable linear equations - All sections (approx. 5 hours total)
(Relevant for Statistics/Operations)

  • Algebraic equations basics (23 mins)
  • Why we do the same thing to both sides of an equation (15 mins)
  • One-step addition & subtraction equations (25 mins)
  • One-step multiplication & division equations (40 mins)
  • Two-steps equations intro (20 mins)
  • Two-step equation word problems (20 mins)
  • Linear equations with variables on both sides (35 mins)
  • Linear equations with parentheses (20 mins)
  • Analyzing the number of solutions to linear equations (18 mins)
  • Linear equations word problems (25 mins)
  • Linear equations with unknown coefficients (10 mins)
  • Practice test (25 mins)

One-variable linear inequalities - Only sections indicated below (approx. 1 hour 10 mins total)
(Relevant for Statistics/Operations)

Two-variable linear equations (approx. 6 hours 50 mins)
(Relevant for Statistics/Operations)

  • Two-variable linear equations intro (30 mins)
  • Slope (50 mins)
  • Horizontal & vertical lines (20 mins)
  • Intro to slope-intercept form (30 mins)
  • x-intercepts and y-intercepts (40 mins)
  • Applying intercepts & slope (25 mins)
  • Writing slope-intercept equations (50 mins)
  • Point-slope form (20 mins)
  • Standard form (35 mins)
  • Summary: Forms of two-variable linear equations (35 mins)
  • Practice test (30 mins)

Statistics

Relevant for Statistics/Operations. 11 hours 40 mins approximate study time.

Displaying & Describing Data (approx. 6 hours 50 mins total)
(only sections indicated below)

Modelling Data Distributions (approx. 2 hours 40 mins total)

  • Describing location in a distribution (28 mins)
  • Normal distributions (2 hours 10 mins)

Probability (approx. 1 hour 25 mins total)
(only sections below)

Probability Distributions

Sampling Distributions (approx. 35 mins total)
(only sections below)

  • What is a sampling distribution? (10 mins)
  • Sampling distribution of the sample proportion (11 mins)
  • Sampling distribution of the sample mean (2 – 14 mins)

Economics

3 hours, 20 mins approximate study time.

Introduction to Economics (approx. 45 mins total)
(including Micro/Macro Economics)

Supply, Demand and Market Equilibrium  (approx. 2 hrs, 35 mins total)

  • Demand (1 hour)
  • Supply (35 min)
  • Market equilibrium and changes in equilibrium (1 hour)

Extracurricular Reading

These books are not mandatory reading but suggested for those interested in doing some additional preparation for the program.

  • Good to Great: Why Some Companies Make the Leap...And Others Don't
  • Predictably Irrational: The Hidden Forces That Shape Our Decisions
  • Made to Stick: Why Some Ideas Survive and Others Die
  • Crossing the Chasm: Marketing and Selling Technology Projects to Mainstream Customers
  • Nudge: Improving Decisions About Health, Wealth, and Happiness

Programing

These mandatory ‘Introduction to Python’ and ‘Intermediate Python’ courses delivered by DataCamp will help you get up to speed with the technical knowledge that you need for the required course: BA 515 – Fundamentals of Analytics and Tech course.

DataCamp Access: https://app.datacamp.com/groups/mm-23-ba-515/dashboard

Spam prevention powered by Akismet