Introduction to Management Science
Linear programming, decision analysis, and simulation — from problem setup to Excel Solver to interpretation.
Level 3000 · management-science
ADMS 3330 lives or dies on problem formulation. Most students can run Excel Solver — far fewer can translate a word problem into the right objective function and constraints. That's where we focus.
We pair every model with the kind of business question that motivates it, then move into Solver and sensitivity analysis so the interpretation step (worth real marks) becomes second nature.
An ADMS 3330 management science tutor at York University earns their hour on formulation — turning word problems into objective functions and constraints, setting up Excel Solver correctly, interpreting sensitivity reports, building decision trees, and computing EVPI. That is exactly where sessions focus.
ADMS 3330 students text us with this every week.
- “Midterm is in 5 days and I still can't turn a word problem into an LP.”
- “Final is next week and I have no idea how to read a sensitivity report.”
Send your course code, your test date, and the topics you’re stuck on. We’ll tell you the most realistic way to use the time you have left.
Where students usually get stuck in ADMS 3330
- Turning word problems into constraints
- Solver setup
- Sensitivity report interpretation
- Decision trees
- EVPI
Topics students like to cover.
No premade modules. Every session is built around the topics you’re actually stuck on. These are the ones ADMS 3330 students ask about most.
Topic 01
Linear Programming Foundations
- Formulating LP models from word problems
- Graphical solutions and corner-point method
- Standard form and slack variables
Topic 02
LP with Excel Solver
- Setting up Solver correctly
- Sensitivity reports and interpretation
- Shadow prices and reduced costs
Topic 03
Specialized Models
- Transportation and assignment problems
- Integer programming basics
- Network flow models
Topic 04
Decision Analysis & Simulation
- Decision trees and EVPI
- Risk profiles and utility
- Monte Carlo simulation introduction
Our approach to ADMS 3330.
01
Formulation first
We drill the problem-to-model translation step until it's reflexive — the part Solver can't do for you.
02
Sensitivity analysis you can explain
Every Solver output gets interpreted in plain English so the short-answer questions become free marks.
03
Decision trees done cleanly
A consistent layout for decision-tree problems so calculation errors disappear.
What students tell us before booking ADMS 3330
- “I can use Solver, but I can't set up the model.”
- “Word problems are hard to turn into constraints.”
- “Sensitivity reports feel impossible to explain.”
Quick answers about ADMS 3330 tutoring.
- Will we focus on LP formulation or just running Solver?
- Mostly formulation. Solver is the easy part of 3330 — the marks are in turning a word problem into the right objective function and constraints. That's where we focus, then we read the sensitivity report together so the short-answer questions become free marks.
- Can we cover decision trees and EVPI?
- Yes. We work through decision-tree problems with a consistent layout so calculation errors drop, and EVPI/EVSI calculations start to feel mechanical.
- We're on Monte Carlo simulation now. Can we work through that?
- Yes — simulation is usually the late module in 3330. We can build out an Excel Monte Carlo model together so the assignment or quiz style stops feeling foreign, including the random-number setup and reading the output statistics.
Not sure how to start? Copy this.
Paste it into WhatsApp or the contact form. Fill in your test date and the topic you’re stuck on — we’ll take it from there.
“Hi, I'm in ADMS 3330. My test/final is on [date]. I'm stuck on [topic]. Are you available this week?”
Ready to get unstuck on ADMS 3330?
Send your course code, test date, and topics. Your message goes straight to the tutor who teaches this course — usually replied within hours.