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COMP857 – Optimization, School of Computer Science & Informatics, University of Liverpool
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From 41 $ /h
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A comprehensive course in Linear Programming and Linear Optimization, based on the renowned reference:

Bertsimas, D., & Tsitsiklis, J. N. (1997). Introduction to Linear Optimization. Athena Scientific.

The course covers the first five chapters in their entirety, forming the foundation upon which everything that follows in mathematical improvement is built. The concepts are explained in clear Arabic with step-by-step solved examples, illustrations, and practice exercises.

The five lectures:

Lecture 1 — Introduction to Linear Optimization:

What is optimization? And why do we need it?

Variables, decisions, functions, and constraints

The general formula for linear programming

Standard Form

Reducing any issue to the standard formula

Piecewise Linear Convex Functions

Graphing and solution

Fundamentals of Linear Algebra

Analysis of algorithms and number of operations

Lecture 2 — Linear Programming Basics (LP Basics):

Practical examples: food issues, production, scheduling, networks, pattern classification

Converting problems to standard format

Remove free variables

Slack and Surplus variables

convex and concave functions

Absolute values in objective functions

Graphical solution in 2D and 3D

The five possible solutions

Lecture 3 — Geometry of Linear Programming (LP):

Polyhedron and Polytope

Hyperplanes & Halfspaces

Extreme Points

Vertices

Basic Feasible Solutions

Active Constraints

Degeneration

The presence of extreme points

Visual examples in 2D and 3D

Lecture 4 — The Simplex Method:

Optimality Conditions

Reduced Costs

Development of the Simplex algorithm

Simplex Tableau

Pivoting

The Revised Simplex Method

Cycling and how to avoid it

Bland's Rule

Finding a basic, possible, initial solution

Two-Phase Simplex Method

Big-M Method

Mathematical aptitude and average behavior

Klee-Minty cube

Lecture 5 — Duality Theory:

The original (Primal) and dual problem

The relationship between variables and constraints

Weak Duality Theory

Strong Duality Theory

Conditions for Complementary Slackness

Dual variables as marginal costs

Shadow Prices

Dual Simplex Method

Geometric interpretation of duality

Applications in Economics and Finance

Advantages:

🎯 Explanation based on an accredited academic reference

📐 Illustrations for each geometric concept

🧮 Solved examples with numbers

💻 Examples in Python using gurobipy

📊 Comparison tables between different formulas

🔗 Linking theory to practical applications

📝 Exercises at the end of each lecture
Extra information
Prerequisites:

Basic knowledge of linear algebra (vectors, matrices, inner product)

Basic knowledge of calculus (for convex concepts)

Basic knowledge of Python (optional, for practical examples)

Primary reference:

Bertsimas, D., & Tsitsiklis, J. N. (1997). Introduction to Linear Optimization. Athena Scientific.

Tools used:

pip install gurobipy (for practical problem solving)

Python 3.x or any programming environment

expected outcomes:
Upon completion of the course, the student will be able to:

Formulating real-world problems such as linear programming problems

Converting any problem to the standard formula

Understanding the algebraic geometry of a polyhedron

Applying the simplex method manually and programmatically

Interpretation of dual solutions and shadow prices

Using Python to solve linear optimization problems

Reading and understanding research papers in the field of improvement

the target audience:

Engineering students (electrical, industrial, mechanical)

Computer Science and Artificial Intelligence Students

Operations Research and Statistics students

Economics and Finance Students

Researchers and practitioners in the field of improvement
Location
location type icon
Online from Egypt
About Me
Engineer Abdulrahman Mudarris
For Industrial Engineering and Mechanical Engineering materials at Cairo University

A teacher specializing in industrial and mechanical engineering, he has over 8 years of experience teaching engineering subjects in a simple and accessible style suitable for all levels. He is characterized by patience and cooperation, and provides continuous follow-up with students throughout the year to ensure optimal results.
Education
Bachelor of Engineering from the Faculty of Engineering, Cairo University
Teaching Assistant at the Faculty of Engineering, Cairo University, specializing in Industrial and Mechanical Engineering
I also worked as a teaching assistant at the Faculty of Engineering, Tanta University.
Experience / Qualifications
✔️ Over 8 years of continuous experience teaching engineering subjects to university students, both in Egypt and the Gulf, through direct private online lessons.

✔️ Specializes in teaching a wide range of subjects, including:

Operations Research (1 and 2)

Project Management

Production and Operations Management

Engineering Economics and Accounting

Production Planning and Supply Chains

Analysis of stresses, structures, and collapses

Engineering Materials and Materials Testing

And other industrial engineering materials and design and production engineering materials
Age
Children (7-12 years old)
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Advanced
Duration
45 minutes
60 minutes
90 minutes
120 minutes
The class is taught in
English
Arabic
Reviews
Availability of a typical week
(GMT -04:00)
New York
at teacher icon
Online via webcam
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
• I specialize in teaching Production and Operations Management for engineering and business students. My lessons focus on helping students understand core concepts, solve related problems, and prepare for exams. I stay in contact with students throughout the semester and provide recorded explanatory lectures along with handouts to support learning and revision.

• This course is designed for engineering and management students who want to understand how companies design and manage production systems. We will cover the following key topics:

Introduction to Operations Management

Demand Forecasting

Product and Process Design

Capacity Planning

Facility Location

Facility Layout

Inventory Management

Production Planning and Scheduling

Quality Management

Supply Chain Management
Read more
I specialize in teaching Operations Research 1 for engineering and management students. My lessons focus on helping students understand core concepts, solve related problems, and prepare for exams. I stay in contact with students throughout the semester and provide recorded explanatory lectures along with handouts to support learning and revision.

This course is designed for engineering and management students who want to learn how to apply mathematical and analytical techniques to make better decisions in production, operations, and business systems.

We will cover key topics such as:

Introduction to Operations Research

Linear Programming

Simplex Method

Transportation and Assignment Problems

Integer Programming

Network Models (Shortest Path, Max Flow, Min Cost Flow)

Project Management Techniques (PERT/CPM)

Students will learn how to formulate real-world problems mathematically, analyze them using OR techniques, and interpret the results to make effective operational decisions.
Read more
Show more
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- Korean family, which allows me to teach you the language along with the real culture and natural expressions.
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✔ Customized according to your objectives (TOPIK, conversation, travel, culture, leisure).
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Student-Centred Approach: I enjoy teaching students and continually strive to ignite their curiosity and passion for learning. I aim to make each lesson engaging and enjoyable, helping students recognise the real-world applications of what they learn.

Shared Strategies: As a student who has successfully qualified for the Engineering Entrance exam test and is currently studying abroad on a fully funded scholarship, I bring my own learning strategies and study techniques to the table. These proven methods will help students achieve their academic goals.

Continuous Improvement: I am always learning and growing, just like my students. This continuous improvement mindset, which I actively promote, inspires and motivates students to strive for their best. It enables me to stay updated with the latest educational trends and techniques, ensuring that my students receive the best possible guidance.

Supportive Environment: I encourage students to ask questions, no matter how trivial they might seem. By creating a friendly and comfortable atmosphere, I ensure that students feel comfortable and open to express their doubts and curiosities, leading to a deeper understanding of the subjects.
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Are you looking for comprehensive and personalized tutoring to boost your skills and confidence in mathematics, excel in the IELTS exam, or prepare for the OMPT-D test? Look no further! I offer specialized one-on-one and group tutoring tailored to meet the individual needs of students in three key areas:

Middle School Mathematics:
Master essential math concepts, including algebra, geometry, fractions, decimals, percentages, and more.
Develop problem-solving strategies, logical thinking, and a strong foundation in mathematics.
Tailored lessons designed to match your pace and help you succeed in school assessments and standardized tests.
IELTS Exam Preparation:

Focused preparation for all four sections of the IELTS:
Listening, Reading, Writing, and Speaking.
Practice with real IELTS materials, timed mock tests, and personalized feedback on essay writing and speaking responses.
Learn effective strategies for achieving your desired band score, whether it's for academic purposes or immigration.

OMPT-D Prep (Online Mathematics Proficiency Test):
Comprehensive preparation for the OMPT-D, focusing on calculus, algebra, and problem-solving skills.
Step-by-step explanations of complex mathematical concepts and sample test problems.
Tailored strategies to optimize your performance on this challenging university entrance exam.

Why Choose Me?

Experienced Tutor
Engaging and interactive Teaching Style
Flexible Scheduling
Personalized Feedback on weaknesses to improve

Let’s work together to achieve your academic goals and unlock your full potential!
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I teach Python specifically for finance and data applications - the kind used in economics, business analytics, and quantitative programs. This isn't a general "learn to code" course; it's built around real financial data, benchmarking, and the workflows you'll actually use in coursework or early career work.

Topics include:
Python fundamentals through a finance lens (data structures, functions, control flow).
Working with financial data and datasets.
Performance benchmarking and writing efficient code.
Applying concepts from Hilpisch's Python for Finance.
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This course is designed for primary, secondary, or even university students who need support with their homework, want to better understand their lessons, or prepare for exams.

I offer personalized guidance in a friendly and supportive environment to help students:

Understand instructions and complete exercises

Review and reinforce difficult concepts

Develop effective study habits

Build confidence and become more independent

📚 I can assist with various subjects (languages, humanities, etc.) depending on the level.

💡 My goal: to ensure students never feel alone with their homework and to help them enjoy learning again.

Lessons are available in person or online, depending on your preference.
Feel free to get in touch to discuss your or your child's specific needs!


This course is aimed at primary and secondary school students, or even college students who need support to do their homework, better understand their lessons, or prepare for an exam.

I offer tailor-made assistance, in a caring and encouraging atmosphere, for:

Understanding the instructions and exercises

Review concepts not acquired

Developing effective working methods

Gain autonomy and confidence

📚 I can teach in several subjects (languages, humanities, etc.) depending on the level.

💡 My goal: that the student never feels alone when it comes to their homework, and that they rediscover the joy of learning.

Courses available in person or online, depending on your preferences.
Please do not hesitate to contact me to discuss your child's specific needs!
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I hold a PhD in Mechanical Engineering and currently work as a post-doctoral researcher in the Aerospace Engineering Faculty at TU Delft (Delft University of Technology).
Key topics that I teach for this course include:
• Calculus: Differentiation & integration, Multivariable calculus
• Linear Algebra: Matrices, vectors, systems of equations, Eigenvalues and eigenvectors
• Differential Equations: First- and second-order ODEs, Laplace transforms
• Complex Numbers: Polar form, Euler’s formula
• Vector Calculus: Gradient, divergence, curl, Line and surface integrals
• Series & Transforms: Taylor series, Fourier series

I understand that not all teachers excel in teaching Engineering and Mathematics courses and explaining their importance to students. Courses with strong mathematical backgrounds may become boring for students who lack a solid mathematical basis. To address this, I take a student-centered approach, starting from the basics to actively engage all students, including those with weaker mathematical backgrounds. I also provide practical examples to demonstrate the real-world significance of what they are learning, inspiring and fostering their interest in the subject matter.

If you have any additional questions before starting a class, please feel free to ask me. I am here to assist! :)
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Understanding algorithms is essential for anyone pursuing computer science or programming. In this course, I provide a structured approach to learning algorithms—from fundamental concepts like sorting and searching to advanced techniques such as dynamic programming and graph theory. Whether you're preparing for exams, coding interviews, or aiming to improve your problem-solving skills, this course is designed to build strong algorithmic thinking. Through practical examples and step-by-step explanations, I help students master the logic and techniques needed to write efficient and elegant code.
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Are you taking a mathematics exam in the second session?
I offer intensive support to review the basics, target important chapters and practice effectively on typical exercises.

I support higher education students, particularly at university, college and Solvay/ULB, to understand important concepts, redo practical exercises and practice on typical exam exercises.

My goal is simple: to help you understand the logic behind the methods, know when to use each formula, recognize the correct reasoning in a statement and gain autonomy when facing exercises.

Subjects covered according to your program:

• Limits and continuity:
Calculation of limits, indeterminate forms, left-hand and right-hand limits, limits at infinity, horizontal, vertical and oblique asymptotes, continuity and behavior of a function.

• Derivatives and function analysis:
rules of differentiation, derivative of a composite, logarithmic derivative, increasing/decreasing, extrema, convexity/concavity, inflection points, variation tables and complete graphical representation.

• Optimization:
maximum/minimum problems, economic optimization, cost functions, revenue, profit, elasticity, choice of method and interpretation of results.

• Functions with several variables:
partial derivatives, gradient, differentials, two-variable optimization, local extrema, Hessian matrix, first-order conditions and economic interpretation according to your course.

• Constrained optimization:
Lagrange method, budget constraint, utility maximization, cost minimization, Lagrange multipliers and interpretation of results.

• Linear algebra:
vectors, matrices, matrix operations, determinants, inverse matrices, rank of a matrix, systems of linear equations, Gauss's method and solving systems.

• Sequels and series:
arithmetic and geometric sequences, limits of sequences, convergence, sums, simple series and economic or financial applications according to your program.

• Integrals:
antiderivatives, definite integrals, area under a curve, simple calculation methods, graphical interpretation and applications.

• Financial mathematics:
Simple and compound interest, capitalization, discounting, present value, future value, annuities, monthly payments, equivalent rate, effective rate, loans, repayments, NPV, IRR and basic financial applications.

• Exam preparation:
reading statements, choosing the right method, identifying the formulas to use, typical exercises, past exams, guided corrections and problem-solving methods.

Method of working :

1. We quickly identify the chapters that are causing problems;
2. I re-explain the theory with simple examples;
3. We redo the important exercises together;
4. I will show you how to recognize good reasoning in the exam;
5. We construct a clear method that can be reused independently.

I don't just provide a correction: I explain the reasoning step by step so that you are able to redo the exercises without help.

I have been giving private lessons for over 7 years in mathematics, statistics, economics, and accounting. I have also tutored first and second-year Bachelor's students at Solvay/ULB in mathematics, statistics, and microeconomics as part of a university tutoring program.

My professional experience in finance and business controlling at Deloitte has also allowed me to develop a very structured approach to numbers, analysis, financial models and problem-solving.

Courses available in French or English, online or in person in Brussels or the surrounding area.
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