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Systematic Reasoning and Logical Thinking for Computer Science

You will learn Systematic Reasoning & Logical Thinking which is a requirement for entering Computer Science program in many universities.
The book “Delftse Foundations of Computation” especially its second chapter will be the main source of our lesson, but other more in-depth books will be also covered if you want to improve even further on logical thinking.
The topics in our lesson include:
• Propositional Logic: Logical operators; Precedence rules; Logical equivalence; Implications in English; Exclusive or; Universal operators; Classifying propositions
• Boolean Algebra: Substitution laws
• Logic Circuits: Logic gates; Combining gates to create circuits; From circuits to propositions; Disjunctive Normal Form; Binary addition.
• Predicate Logic: Predicates; Quantifiers; Tarski’s world and formal structures;
• Deduction: Valid arguments and proofs; Proofs in predicate logic

If you have any additional questions before starting a class, please feel free to ask me. I am here to assist! :)

Location

Online via webcam

General info

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, Persian

About Me

I am currently a postdoctoral researcher at Delft University of Technology

I like sharing my knowledge with others. I believe that teaching makes the knowledge I have acquired as a researcher much more valuable. In my idea, successful teachers have several qualities including knowledge, enthusiasm, and student-based teaching methods.

Education

PhD: Mechanical Engineering, Applied Design, 2016
Masters degree: Mechanical Engineering, Applied Design, 2011
Bachelors degree: Mechanical Engineering, Solid mechanics, 2008

Experience / Qualifications

My university teaching experience:
- Lecturer of Mechanical Engineering Design I, Materials Science, Dynamics, Engineering
Mathematics, Engineering Drawing I and II, Mechanics of Materials I and II
- Teaching assistant of Statics, Linear vibration, and Engineering drawing

Reviews (20)

Great help with project, very patient and able to make learning an unknown subject a lot easier than expected. Will continue to use Reza to develop my knowledge of Ansys APDL.
Good and flexible
Extremely professional and knowledgeable with any problem that I have had. Reza is always polite, friendly and always shows great patience, which I believe is of the highest importance when learning difficult subjects. I highly recommend him as a teacher!
Very happy with Reza's knowledge of SolidWorks. Helpful & patient.
My son just started lessons with Reza and he is impressed with the way he explains the difficult concepts.
...
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). My extensive teaching experience covers a wide range of engineering courses, including: - Mathematics: algebra, linear algebra, probability, calculus, differential equations, intellectual math, and advanced engineering mathematics. - Mechanical Engineering: Statics, Dynamics, Mechanics of materials, Mechanical design, control, vibration, Fluid Mechanics, Thermodynamics, Heat transfer, Engineering drawing, Applied Mechanics, Composite Structures, Flight, Machine Elements, Manufacturing, 3D printing, and more. - Physics: mechanics, momentum and energy, electricity, charge and current, electric and magnetic fields, waves, particle physics, nuclear decay, astrophysics, cosmology, oscillations, etc. - CAD/CAM Software: Autocad, Solidworks. - Mechanical Design Packages: ANSYS, APDL programming, ABAQUS, MATLAB, Symbolic MATLAB, LS-DYNA. My research and teaching interests are diverse, including: • Additive manufacturing • Mechanical metamaterials • Acoustical metamaterials • Electromagnetic metamaterials • Aeroacoustics • Soft matter and soft robotics • Fatigue and fracture mechanics • Experimental mechanics • Multiscale numerical modelling • Biomaterials • Porous materials • Manufacturing of medical devices and implants • Deep learning • Image processing • Topology optimization • Origami and Kirigami structures • Self-folding and self-assembly structures • Tissue engineering • Permeability in porous materials • Fluid-Solid Interaction 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! :)
I hold a PhD and my thesis topic was the Design of Biomedical Implants and Biomaterials under Static, Impact, and Fatigue loads. I currently work as a post-doctoral researcher in the Aerospace Engineering Faculty at TU Delft (Delft University of Technology). Some examples of the topics that will be covered in our lesson are • The musculoskeletal system • Loads and motion in the musculoskeletal systems • Bone tissue mechanics • Soft tissue mechanics • Beam theory for structural analysis of musculoskeletal systems • Beams on elastic foundation • Interface modelling • Bone-implant systems • Implant design by means of material optimization • Screws in implant fixation • Intramedullary rods • Bone plates • External fixators • Fracture fixation devices • Total hip replacement • Total knee replacement • Articulating surfaces Courses that require knowledge in physiology, Materials Science, and Mechanical Behavior of Materials may become challenging for students who lack a solid basis in either of the fields. To address this, I take a student-centered approach, starting from the basics to actively engage all students, including those with weaker backgrounds. If you have any additional questions before starting a class, please feel free to ask me. I am here to assist! :)
I hold a PhD in Mechanical Engineering and currently, I am working as a post-doctoral researcher in the Aerospace Engineering Faculty at TU Delft (Delft University of Technology). I have extensive experience in teaching various Mechanical design packages, including LS-DYNA, ANSYS, APDL programming, ABAQUS, MATLAB, SolidWorks, Cura, and Symbolic MATLAB. Some of the finite element modeling and numerical simulations I have worked on include: - Multiscale finite element modeling for fatigue crack propagation in porous materials. - Analysis of multiple-layer sandwich structures' resistance to bird-strike impact [Read paper]. - Investigation of debonding propagation in aluminum and glass/epoxy composite joints under fatigue loading using Fracture Mechanics principles. - Computational prediction of the fatigue behavior of additively manufactured porous metallic biomaterials. - Study of the effect of material type, stacking sequence, and impact location on pedestrian head injury in collisions. If you have any additional questions before starting the class, please don't hesitate to ask me. I am here to help! :)
I hold a PhD in Mechanical Engineering and currently, I am working as a post-doctoral researcher in the Aerospace Engineering Faculty at TU Delft (Delft University of Technology). I have extensive experience in teaching different topics in Continuum Mechanics and Elasticy. · Scalar, Vector, Matrix, and Tensor Definitions · Index Notation · Coordinate Transformations · Deformation: Displacements and Strains · Strain Transformation · Principal Strains · Principal Stresses · Spherical and Deviatoric Stresses · Equilibrium Equations · Thermoelastic Constitutive Relations · Formulation and Solution Strategies · Strain Energy · Elasticity Boundary-Value Problem · Rayleigh-Ritz Method · Two-Dimensional Formulation · Airy Stress Function · Thermoelasticity If you have any additional questions before starting the class, please don't hesitate to ask me. I am here to help! :)

Ask a question

Send a message explaining your needs and Reza will reply soon:
The more detail, the better.
Ex. "Hi, when are you available to meet for a lesson?"

Availability of a typical week

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from C$52.07Online via webcam

Good-fit Instructor Guarantee


If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.

Online reputation

  • Instructor since June 2018
  • 10 repeat students
  • Phone number verified
  • Linkedin connected

Availability of a typical week

(GMT -05:00) Chicago
MonTueWedThuFriSatSun
0
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from C$52.07Online via webcam

Good-fit Instructor Guarantee


If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.

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Adam
Basic concepts of algorithms and data structures in computer science
Online Course: Basic Concepts of Algorithms and Data Structures Duration : - 60 minutes: condensed format to introduce fundamental concepts with targeted exercises. - 90 minutes: extended format to explore concepts in depth, solve complex problems, and include an interactive question-and-answer session. --- General description This course is designed for students and professionals who are new to computer science, as well as those who want to solidify their foundation in algorithms and data structures. It provides a clear and practical introduction to the essential tools for solving problems effectively, by learning how to design and analyze algorithms. Whether you are preparing for an exam, a technical interview, or want to improve your programming skills, this course will guide you in understanding theoretical concepts and their practical application. --- Educational objectives At the end of the course, participants will be able to: 1. Understand the fundamental concepts of algorithms: sorting, searching, time complexity. 2. Master key data structures: arrays, lists, stacks, queues, trees, and graphs. 3. Solve problems by choosing appropriate data structures and algorithms. 4. Analyze and optimize the performance of algorithms. --- Course syllabus 1. Introduction (5-10 min) - Presentation of the objectives and concepts covered. - Importance of algorithms and data structures in computer science. 2. Fundamental concepts (20-30 min) - Definitions and roles of algorithms and data structures. - Temporal and spatial complexity: basic notions (Big O). - Basic data structures: arrays, lists, and dictionaries. 3. Practical application and examples (30-40 min) - Simple sorting implementation (insertion sort, bubble sort). - Search example (linear search, binary search). - Manipulation of stacks and queues through practical exercises. - Bonus for the 90 min format: Exploration of trees and graphs (simple example of a route). 4. Q&A and conclusion (5-10 min) - Review of the concepts covered. - Tips for continuing to practice and progress. - Suggestions for personal projects to apply the knowledge acquired. --- Teaching methodology - Interactive learning: a combination of theoretical explanations and practical applications. - Concrete examples: each concept is illustrated by practical cases and guided exercises. - Adaptation to needs: the courses are adjusted to the level and objectives of each participant, with a focus on the most relevant aspects. --- Target audience This course is aimed at: - Computer science students wishing to strengthen their mastery of the basics before exams or projects. - Programming beginners who want to understand the essential mechanisms behind problem solving. - Professionals preparing for technical interviews or seeking to improve their understanding of algorithms. --- Benefits of this online course - Personalized support from an experienced trainer. - Educational materials and practical exercises accessible after the session. - Flexible hours to fit your schedule. - Progressive approach to facilitate learning, even for beginners. Develop your skills in algorithms and data structures today to efficiently solve the complex problems of tomorrow! ---