GMAT Focus | Quantitative| Master Math Course | 2026 Updated
Nadeem Arain
5.0 (853)·55h 15m · 544 lectures
$3.00$12–$199up to −98%
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Optimization and Operations Research in Management
بحوث العمليات في دعم التخطيط واتخاذ القرار باستخدام برنامج ميكروسوفت إكسل
5.012 reviews65 learners
- All Levels
- 19h 38m video
- 70 lectures
- Arabic
- Captions
- Updated 2026
Taught by Prof. Mohamed Elashhab ا د. محمد الأشهب
- 19h 38m of on-demand video
- 70 lectures across 18 sections
- Closed captions (Arabic)
Curriculum
17 sections70 lectures19h 38m total
- Introduction16:28
- Lecture 2-1 Model Formulation and Graphical Solution44:26
- Lecture 2-2 Minimization Problems18:26
- Lecture 2-3 Irregular Types of Linear Programming Problems8:50
- Lecture 2-4 Example 1 - Problem Statement6:08
- Lecture 2-5 Example 2 - Maximization Problem5:03
- Lecture 2-6 Graphical Method Using Calculator5:57
- 3-1 Linear Programming - Computer Solution4:21
- 3-2 Solving LP Problems using Microsoft Excel10:13
- 3-2-2 Solving LP Problems using Using Qm Software9:05
- 3-3 Linear Programming - Sensitivity Analysis - Part 120:41
- 3-4 Linear Programming - Sensitivity Analysis - Part 229:22
- 3-5 Shadow Price Effect on Max and Min Problems1:58
- PQ Chapter 3 Ex 217:16
- Exercises for Mid - Ex 1 Sensitivity Report19:06
- Exercises for Mid - Ex 2 Model Formulation6:57
- Exercises for Mid - Ex 3 Nut mix11:19
- 4-1 Linear Programming - Modeling Examples - Diet Example17:06
- 4-2 Linear Programming - Modeling Examples - Investment Example11:09
- 4-3 Linear Programming - Modeling Examples - Marketing Example15:34
- 4-4 Linear Programming - Modeling Examples - Transportation Example16:58
- 4-5 Linear Programming - Modeling Examples - Blend Example18:54
- 4-6 Linear Programming - Modeling Examples - Multi-period Scheduling Ex - Silent22:54
- 4-6 Linear Programming - Modeling Examples - Scheduling Example16:24
About this course
الكورس متوافق مع العديد من الجامعات مثل جامعة الفيصل Course Description: Mathematical modeling and the operations research approach for solving engineering decision problems. Formulation and classification of optimization models. The concept of improving search directions. Formulation of linear programs (LPs). The simplex algorithm and alternative approaches for solving LPs. Duality and sensitivity analysis in linear programming. Multi-objective optimization and goal programming. Network flow models. Formulation a…
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- None
Who it’s for
- Engineers
- Engineering Students
- Decision Makers
- Managers
- Business men
- Industrial Engineers
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