Industrial Engineering

From your Discipline Director, Judy Alzain, take a look at her reviews for some Industrial Engineering courses!
Contact Judy at industrial@mues.ca for any general Industrial Engineering questions
For Academic Services, contact Kendall Falconer at vpacademic@mues.ca
If you would like to get in touch with more Industrial Engineering students, follow @mecu_tmu on Instagram
For your course calendar, hop over to FEAS’ page HERE

First Year

Useful Links

Student Review

The book is your best friend in this course. This course is very theory heavy. The midterm and final exam will consist of many MCQ questions that come straight from the book. They are all theory questions. The exams also include a few calculation long answers. All of these come from the book and homework assignments given throughout the semester. The labs are in groupss ranging 3-5, this eases the workload. Each group works on a different lab, therefore the content won’t match what is being taught in lectures. Attending study halls is extremely useful and recommended. This course is either you know it or you don’t, so take time studying everything.

Course Breakdown

Assignments – 7.5%
Experiments – 17.5%
Midterm Test – 20%
Final Examination – 55%
Total: 100%

To pass the course, a student must:
● achieve a minimum overall grade of 50%, and
● achieve at least 50% in the weighted combination of the midterm test and the final
exam.

Additional Info

Common concepts on tests:

  • Atomic structure
  • Atomic bonding in materials
  • Crystallinity
  • Lattice structure
  • Crystal systems
  • X-ray diffraction
  • Amorphous materials
  • Imperfections and diffusion in solids
  • Phase diagrams and phase transformations
  • Structures of metals, polymers and ceramics
  • Corrosion and degradation.
  • Thermal and electrical properties of materials

Second Year

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Student Review

Medium-Hard. This course requires a lot of practice. You will need to sharpen your integration skills from calc2. The course is divided into two sections. The first part covers solving first and higher order differential equations and laplace transformations, the second part is vector calculus. This part of the course is heavy, there’s topics from linear algebra, integration, and 3d visualization and sketching. The only way to succeed in this course is through solving as much problems as you can from lecture notes and the book.


*This part might only apply to MTH425 in spring with Dr. Majed Alqasas

– A cheat sheet was allowed during the midterm and final exam. You are free to write whatever you want on it. Including solved problems.

– Majority of exam problems were from the powerpoint slides. They are your best resource.

Course Breakdown

*Might be different in fall, I took this course during the spring

Five Lab Quizzes – 15%

Midterm Exam – 40%

Final Exam – 45%

Additional Info

Common concepts on tests:

1.1 – 1.2: Introduction to Differential Equations
2.1 – 2.5 First Order Differential Questions
3.2 – 3.6 Higher Order Differential Equations
9.1 – 9.16 Vector Calculus

Course Name

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Student Review

Easy. This course is much more simpler and intuitive than the calculus courses. That still means you have to practice problems and study to do well. Questions on exams will not differ too much from lecture problems and book questions. Understand the concepts well, it will become essential to solve problems. (A cheat sheet was allowed during the midterm and final, this might only apply to spring)

Course Breakdown

*Might be different in winter, I took this course during the spring

Six Lab Quizzes: 20%
Midterm Exam: 40%
Final Exam: 40%

Additional Info

Common concepts on tests:

Chapter 1 (1.1 – 1.5) Describing data with graphs
Chapter 2 (2.1 – 2.4) Numerical Measures
Chapter 2 (2.6 – 2.7) Percentiles, z-scores, boxplots
Chapter 4 (4.1 – 4.2) Probability
Chapter 4 (4.3 – 4.8) Probability
Chapter 5 (5.2 – 5.3) Discrete distributions
Chapter 6 (6.1 – 6.4) Normal distribution, Normal
approximation
Chapter 7 (7.1 – 7.6) Sampling Distribution
Chapter 8 (8.1 – 8.7) Large sample estimation
Chapter 9 (9.1 – 9.3) Large sample test of hypotheses
Chapter 9 (9.3 – 9.5) Large sample test of hypotheses
Chapter 10 (10.1 – 10.4) Inference from small samples
Chapter 10 (10.5 – 10.7) Inference from small samples