Showing posts with label Teaching & Academics. Show all posts
Showing posts with label Teaching & Academics. Show all posts
Discrete Mathematics 1
Monday, August 4, 2025
Your first course in DM and mathematical literacy: logic, sets, proofs, functions, relations, and intro to combinatorics
Preview this Course
Description
Discrete Mathematics 1
Mathematics from high school to university
S1. Introduction to the course
You will learn: about this course: its content and the optimal way of studying it together with the book.
S2. Preliminaries: "paintbrushes and easels"
You will learn: some basics needed for understanding the new topics discussed in this course.
S3. A very soft start: "painting happy little trees"
You will learn: you will get the first glimpse into various types of problems and tricks that are specific to Discrete Mathematics: proving formulas, motivating formulas, deriving formulas, generalising formulas, a promise of Mathematical Induction, divisibility of numbers (by factoring, by analysing remainders / cases), various ways of dealing with problem solving (mathematical modelling, using graphs, using charts, using Pigeonhole Principle, using the Minimum Principle, [always] using logical thinking; strategies); you will also see some problems that we are not able to solve (yet) but which will be solved in Section 12 where we will learn more about counting; nothing here is based on big theories, just logical thinking; treat it as a "smörgåsbord" (Swedish buffet) of Discrete Mathematics.
S4. Logic
You will learn: the meaning of the symbols used in logic; conjunction, disjunction, implication, equivalence, negation; basic rules of logic (tautologies) and how to prove them; two kinds of quantifiers: existential and universal; necessary and sufficient conditions. This section is almost identical to Section 7 in "Precalculus 1: Basic notions"; I have only removed the material covering the epsilon-delta definition of limit, because it is irrelevant for Discrete Mathematics. I have also added several new problems (Videos 87-93) that were not present in the Precalculus course.
S5. Sets
You will learn: the basic terms and formulas from the Set Theory and the link to Logic; union, intersection, set difference, subset, complement; cardinality of a set; Inclusion-exclusion principle. This section is almost identical to Section 8 in "Precalculus 1: Basic notions".
S6. Functions
You will learn: about functions: various ways of defining functions; domain, codomain, range, graph; surjections, injections, bijections, inverse functions, inverse images; bijections and cardinality of sets; compositions of functions; some examples of monotone and periodic functions. You will get an information about other topics relevant for examining functions (in Calculus) and where to find them (in the Precalculus and Calculus series).
S7. Relations
You will learn: about binary relations generally, and specifically about RST (Reflexive-Symmetric-Transitive) relations, equivalence classes, and about order (partial order) relations. This section is almost identical to Section 9 in "Precalculus 1: Basic notions".
S8. Functions as relations
You will learn: definition of a function as relation between sets: domain and co-domain; injections, surjections, bijections, inverse functions. This section is almost identical to Section 10 in "Precalculus 1: Basic notions".
S9. A very brief introduction to sequences
You will learn: you will get an extremely brief introduction to the topic of sequences: just enough for the next sections in this course (proofs and combinatorics; for the latter we only need finite sequences) and to complete the discussion of functions defined on the set of natural numbers (adding and scaling sequences, monotone sequences); the topic of sequences will be covered very thoroughly and from scratch in DM2.
S10. Various proof techniques
You will learn: the meaning of words axiom, definition, theorem, lemma, proposition, corollary, proof; various types of proofs with some examples: direct proof, indirect proof (proof by contradiction, proof by contrapositive), proof by induction, proof by cases; proving or disproving statements (finding counterexamples).
S11. Factorial, n choose k, and Binomial Theorem
You will learn: some important properties of the sigma symbol; the factorial function, binomial coefficients, Pascal's Triangle; the Binomial Theorem (theorem telling you how to raise a sum of two terms to any positive natural power) with a motivation and a formal proof; I will show you (mostly without proving, as this is moved to DM2, where you will see plenty of proofs, both "regular" and combinatorial) several binomial identities and where you can find even more of them; all this will be really important for the next section (Combinatorics).
S12. Combinatorics: the art of counting, an introduction (TBC in DM2)
You will learn: some basic combinatorial concepts like permutation, variation, and combination; an explanation of the name of binomial coefficients ("n choose k"); counting subsets of a finite set; counting paths on a grid; some examples of combinatorial proofs. Much more follows in DM2, I promise.
Note: This is the first part of our trilogy in Discrete Mathematics. The following subjects will be covered in the next courses: an introduction to Number Theory with modular arithmetic, an introduction to algebraic structures (groups, rings, fields, etc), with groups of permutations and really cool geometrical applications (DM2); sequences (recurrences, generating functions, etc), an introduction to Graph Theory (DM3). The topic of Combinatorics will be further (after the introduction done in DM1) discussed in DM2, followed by a very brief introduction to (discrete) probability.
Make sure that you check with your professor what parts of the course you will need for your final exam. Such things vary from country to country, from university to university, and they can even vary from year to year at the same university.
A detailed description of the content of the course, with all the 272 videos and their titles, and with the texts of all the 395 problems solved during this course, is presented in the resource file
“001 List_of_all_Videos_and_Problems_Discrete_Mathematics_1.pdf”
under Video 1 ("Introduction to the course"). This content is also presented in Video 1.
Who this course is for:
- Students who plan to study mathematics at a college or university level, and want to gain some mathematical maturity to succeed
- High school students curious about university mathematics; the course is intended for purchase by adults for these students
- Everybody who wants to brush up their high school maths and gain a deeper understanding of the subject
- College and university students studying advanced courses, who want to understand all the details they might have missed in their earlier education
- Students who need mathematics for Computer Science, AI, ML, or other domains where one needs maths
Advance Diploma in Bioinformatics with Internship Project
Complete Bioinformatics, with internship project, Tools and Techniques, Computational Biology, Data Analysis and ML
Preview this Course
Description
Bioinformatics
Description
Take the next step in your scientific journey! Whether you're an aspiring researcher, a budding bioinformatician, a healthcare professional, or simply passionate about exploring the intersection of biology and data science, this course is your gateway to mastering the principles of bioinformatics. Dive into the world of genomic data analysis, computational biology, and algorithm-driven research. Strengthen your knowledge of DNA sequencing, gene expression analysis, and genome annotation. Enhance your analytical skills with molecular data interpretation, programming techniques, and bioinformatics tools. Build a solid foundation for advancements in personalized medicine, biotechnology, and genetic research. This is your opportunity to elevate your expertise, drive scientific innovation, and make a meaningful impact in the ever-evolving fields of bioinformatics and computational genomics!
With this course as your guide, you'll learn how to:
Understand the fundamental concepts and principles of bioinformatics and computational biology.
Gain insights into key bioinformatics techniques such as sequence alignment, next-generation sequencing (NGS) data analysis, and genome annotation.
Learn about the applications of bioinformatics in fields like CRISPR and Gene Editing, personalized medicine, drug discovery, evolutionary biology, and systems biology.
Invest in your knowledge today and build a strong foundation for advanced studies and innovative research in bioinformatics, genomics, and computational biology.
The Frameworks of the Course
Engaging video lectures, case studies, assessments, downloadable resources, and interactive exercises form the foundation of this course. This course is designed to provide an in-depth understanding of bioinformatics, its principles, tools, and real-world applications through comprehensive chapters and units.
This course introduces crucial bioinformatics tools and programming techniques, including Python, R, BLAST, and data visualization libraries, equipping you with practical skills for genomic data interpretation and biological research.
You will explore key concepts on genomics, proteomics and transcriptomics along with fundamental concept on RNA-Seq Data Analysis, Omics Data analysis. The course will cover topics including Computational Biology, Data Analysis and Machine Learning. This course will also introduce an understanding about Literature Review in Bioinformatics, Research Proposal Writing, Data Visualization, Report Preparation and Publishing Research Papers.
This course also helps you to strengthen your knowledge and application of advanced research, data-driven discovery, and innovation in the fields of genomics, computational biology, and personalized medicine.
In the first part of the course, you’ll learn about introduction, scopes and applications of Bioinformatics. You will learn about Tools and Techniques in Bioinformatics. You will learn the details about genomics, proteomics and transcriptomics. You will also understand about Computational Biology. You will also know about Phylogenetics-Tree Construction and Visualization.
In the middle part of the course, you’ll be able to learn about Data Analysis and Machine Learning in Bioinformatics, basis of Machine Learning in Bioinformatics, Tools and Platforms for Bioinformatics Data Analysis. You will also learn about Machine Learning Techniques in Bioinformatics. Gain knowledge about Omics Data Analysis. You will understand about applications of Artificial intelligence (AI), data Analysis and Machine Learning in Bioinformatics. You will also know about Drug Discovery and Development. Learn about CRISPR and Gene Editing Tools. You will also have the knowledge on Personalized Medicine and Precision Healthcare.
In the final part of the course, you’ll know about Research Methodology and Scientific Writing,Literature Review in Bioinformatics. Gain knowledge on Research Proposal Writing, Data Visualization and Report Preparation and Publishing Research Papers.
Course Content:
Part 1
Introduction and Study Plan
Ø Module 1: Fundamentals of Bioinformatics
Ø Module 2: Tools and Techniques in Bioinformatics.
Ø Module 3: Genomics, Proteomics and Transcriptomics
Ø Module 4: Computational Biology
Ø Module 5: Data Analysis and Machine Learning in Bioinformatics.
Ø Module 6: Practical Applications
Ø Module 7: Research Methodology and Scientific Writing
Part 2
Projects
· Predict the Function of Non-Annotated Genes Using Supervised Learning Techniques.
· Analyze Genomic Mutations Associated with Specific Cancers Using Bioinformatics.
Internship in Bioinformatics
This course is designed to provide students with a foundation in bioinformatics, integrating biology, computer science, and data analysis. The course will cover essential concepts, tools, and techniques used in bioinformatics to analyze and interpret biological data. By the end of the course, students will have hands-on experience with bioinformatics tools and databases and will be able to apply computational approaches to solve biological problems.
Assignment Title: Bioinformatics Analysis of Gene Sequences and Protein Structures
Project Title: Comprehensive Bioinformatics Analysis of a Biological Dataset
Who this course is for:
- This course is designed for students and researchers in life sciences, computer science, or related fields who want to integrate computational methods into their biological research.
- Computer Scientists and Data Analysts interested in applying their programming and data analysis skills to solve biological problems.
- Healthcare Professionals and Biotech Enthusiasts looking to understand how bioinformatics drives innovations in drug discovery, personalized medicine, and genomics.
Clinical Child Psychology | Child Psychology Specialization®
Thursday, April 24, 2025
Child Psychology: Development, Assessment, Disorders, and Treatment | Master Clinical Child Psychology in Two Hours.
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Description
Why do some children thrive while others face emotional and behavioral struggles? What truly shapes a child’s mental health? And how can we—as parents, educators, and professionals—step in to make a meaningful difference? Welcome to Clinical Child Psychology: Understanding and Supporting Children’s Mental Health, your fast-track guide to mastering the core principles of Child Psychology and transforming young lives.
In today’s world, Child Psychology and Clinical Child Psychology are more important than ever. According to the World Health Organization (WHO), 1 in 7 children aged 10 to 19 experiences a mental disorder, with anxiety and depression being the most common. Research published in the Journal of the American Academy of Child & Adolescent Psychiatry shows that early intervention—an essential focus of Clinical Child Psychology—can significantly improve long-term outcomes. Yet many early warning signs are overlooked. This course equips you to recognize those signs and take informed action.
In just two hours, you’ll access insights that typically take over 100 hours to master. We’ve eliminated the fluff and focused on delivering high-impact, real-world content—case studies, practical tools, and cutting-edge research—all grounded in the latest findings from Child Psychology and Clinical Child Psychology.
What sets this course apart is its visual, engaging format. Every concept is brought to life through animations and graphics, making complex ideas in Child Psychology and Clinical Child Psychology easy to understand and remember.
You’ll begin by exploring the foundational elements of Child Psychology—including cognitive, emotional, and social development milestones. Then we dive deep into key mental health conditions that impact children, such as anxiety, depression, ADHD, autism spectrum disorder (ASD), and conduct disorders. Did you know that ADHD affects about 5% of children worldwide, according to the Centers for Disease Control and Prevention (CDC)? Or that early intervention in autism can improve communication skills by up to 75%, as reported in Pediatrics?
But this isn’t just about recognizing disorders. It’s about learning how to apply clinical knowledge. You’ll explore powerful assessment tools used in Clinical Child Psychology, from clinical interviews and behavioral observations to standardized psychological tests. You’ll develop practical skills for identifying and addressing mental health issues early—when intervention can be most effective.
At the heart of Clinical Child Psychology lies therapeutic intervention. You’ll gain a thorough understanding of Cognitive-Behavioral Therapy (CBT), which boasts an 80% success rate in reducing anxiety and depression symptoms in children. We’ll also explore Play Therapy and Art Therapy—creative methods that help children express complex emotions—and Parent-Child Interaction Therapy (PCIT), widely regarded as a gold standard for treating behavioral challenges.
We also tackle the broader factors influencing mental health. Cultural, environmental, and socioeconomic influences play a major role in Child Psychology. The American Psychological Association (APA) highlights that children from marginalized communities often face greater trauma and fewer mental health resources. Understanding these dynamics is essential for providing equitable and effective care in any Clinical Child Psychology setting.
As we wrap up, we’ll explore the future of Clinical Child Psychology. You’ll get a sneak peek at revolutionary tools like digital therapeutics, VR-based exposure therapy, and AI-driven assessments. The global child and adolescent mental health market is expected to reach $14.2 billion by 2028 (MarketsandMarkets), creating vast opportunities for those pursuing a career in Clinical Child Psychology or Child Psychology more broadly.
Whether you’re a practicing psychologist, a teacher, a parent, or simply passionate about children’s well-being, this course empowers you with actionable strategies rooted in Clinical Child Psychology and Child Psychology. The knowledge you gain is not just theoretical—it’s practical, impactful, and ready to be used in real-life settings like clinics, classrooms, or at home.
So, are you ready to deepen your understanding of Child Psychology and make a lasting impact on young lives? Enroll now and join a community of learners committed to shaping healthier futures for children. Let’s unlock the power of Clinical Child Psychology—together.
Your journey into the world of Child Psychology begins now. See you inside!
Who this course is for:
- Psychologists and Therapists who want to specialize in clinical child psychology, gaining advanced knowledge of childhood mental health conditions, therapeutic techniques, and intervention strategies to improve outcomes for young clients.
- Educators and School Counselors who regularly work with children facing emotional, social, and academic challenges, aiming to develop skills in recognizing early warning signs, offering appropriate support, and creating a safe environment for psychological growth.
- Parents and Caregivers seeking a deeper understanding of their children’s psychological development, emotional needs, and behavioral patterns to build stronger, more supportive relationships and help children navigate life’s challenges with resilience.
- Social Workers engaged in family and child welfare who wish to enhance their ability to identify and address emotional, behavioral, and developmental concerns in vulnerable children, advocating for their well-being across various systems of care.
- Healthcare Professionals such as pediatricians, nurses, and occupational therapists who frequently encounter children in clinical settings, looking to broaden their understanding of mental health issues and collaborate effectively with mental health specialists.
- Psychology Students aspiring to deepen their knowledge of child-centered psychological theories, assessment methods, and evidence-based practices, bridging the gap between academic learning and practical application.
- Child Advocates and Policy Makers passionate about shaping initiatives that support children’s mental health, promoting community awareness, and influencing policies that prioritize psychological well-being in educational, social, and healthcare contexts.
- Anyone Curious about Child Psychology who wants to explore how psychological theories and clinical practices apply to children’s unique developmental needs, gaining valuable insights into mental health from a child-focused perspective.
PMP Certification: 35+ PDU Formal PMP Exam Prep _New PMP ECO
Friday, October 25, 2024
PMP Certification: 35+ PDU Formal PMP Exam Prep _New PMP ECO, PMP Certification: 42 PDU PMP Exam Complete Training / Get the PMP Project Management Certification on the first try!
- Bestseller
Description
Information about course update: We have updated all the lectures and the exam questions inside the course based on the new exam. Right now, this course covers all the tasks in the new PMP Exam Content Outline (ECO)! It also covers PMBOK Guide 7th Edition, PMBOK Guide 6th Edition, Agile Practice Guide, and more!
Do Not Waste Your Time and Money! Enroll in the most comprehensive formal PMP® training providing 42 Contact Hours/PDUs! (This is more than 35 Contact Hours you need to satisfy to apply for the exam!)
Compatible with the PMBOK Guide 7th Edition, PMBOK Guide 6th Edition, and the Agile Practice Guide
Formal 42 Contact Hours / 42 PDUs for the PMP exam application
42 hours of comprehensive course content
Including 1300+ exam questions (Yes, really!)
2 exam simulations (including 180 exam-like questions each)
Section practice exams (300+ exam-like questions)
Lecture quizzes (400+ questions)
Bonus exams - Predictive Environments (200+ questions)
Detailed explanations
Clear, Concise, Easy to Understand
YOU DON'T NEED TO STUDY ANY OTHER SOURCE TO PASS THE PMP EXAM! This course includes everything you need!
30 Days FULL REFUND of your money is guaranteed if you will not be satisfied with this course
You will have LIFETIME ACCESS to this course. So, you will be able to re-take this course unlimited times.
By enrolling in this course, you will be able to:
Earn 42 PDUs / Contact Hours (you can apply for the PMP exam by using this course!)
Learn theoretical concepts with real-world project examples
Test yourself with 2 FULL PMP Exams at the end of the course
Get prompt answers & support from the instructor
Practice with more than 1300 questions
Practice questions by knowledge area and rationales
Participate in active discussions with other PMP candidates & participants became PMP.
Get downloadable handouts and materials during the course
Get a special offer on my other courses
You do not have to pay a lot for PMP training. By taking this course, you will have lifetime access to the PMP course and you will enroll in the training based on your schedule anywhere and anytime you wish.
After completing this course, you will earn 42 Contact Hours / PDUs. This is more than enough to meet the 35 PDU Hours Requirement of PMI to get PMP certification. Therefore, you can apply for the PMP exam after completing this course.
This course includes concepts of project management. By taking this course, you will be very well prepared for the PMP (Project Management Professional) exam. This course tells the theoretical concepts of project management in detail as other PMP courses. What differs this course from other PMP courses is its examples and real-life samples for the concepts described during the course.
YOU WILL BE ABLE TO UNDERSTAND THE PROJECT MANAGEMENT CONCEPTS EASILY WITH REAL-LIFE EXAMPLES.
In each section, information and definition of the topics are covered and followed by real-life project examples in order to illustrate the concepts better.
Each section includes several questions and these questions are answered with explanations in videos. Also, quizzes and practice exams are available at the end of each lecture/section.
This course covers all the tasks under the following three domains:
People
Process
Business Environment
ALL THE PREDICTIVE, AGILE, AND HYBRID SUBJECTS ARE INCLUDED!
Besides, this course also provides tips and tricks for passing the PMP exam.
Disclaimer: PMI, PMBOK, PMP, and CAPM are registered trademarks of the Project Management Institute
Who this course is for:
- Project Management Professionals
- Project Managers
- Professionals aiming to get PMP degree
- Anyone who wants to learn Project Management concepts
- PMP Candidates
- PMP's who want to earn PDUs for PMP certification renewal
Teach Your Kids Electronics
Monday, September 23, 2024
A perfect way to get Your kids interested in science and engineering
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Description
Introduction:
Are you looking for an online course that will teach your child about electronic devices? If your child loves electronic devices and games, there is a new course available that can teach them how to create their own. The Educational Engineering Team offers a beginner’s course for parents to teach their kids aged 8-12, which will teach them the basics of electronics and more.
Kids love gadgets and electronics, so it's no surprise that there is a growing market for classes teaching kids how to use these devices. One such electronics course is offered by the Educational Engineering Team. The Teach Your Kids Electronics course is designed for parents to teach their kids aged 8 to 12. Students learn about the different parts of electronic devices, how to use them, and how to find information on the Internet.
What is Teach Your Kids Electronics?
This section will define what the Teach Your Kids Electronics course is all about and how it can help your children.
The course is divided into two sections: "Electronics Basics Level I" and "Teach Your Kids Electronics Level II." The first unit is about electricity and how it works; the second level is more on hands-on activities.
Teach Your Kids Electronics – Level 1 is part of a specially-designed middle school STEM curriculum curated by curriculum experts for teaching the basics of electronics to kids through activities such as glowing an LED, making a DIY turntable, controlling DC and servo motors, classifying objects with touch sensors, and so on. Electronics for Kids Levels will have students making their own DIY electronics projects in no time, thanks to straightforward instructions and a variety of fun activities for kids.
What are the benefits of enrolling in an electronics for kids course?
The course is easy to follow. Your child will have access to a great teacher.
Your child will learn how to use digital devices responsibly.
Your child will have the opportunity to create digital content.
Kids will learn how to use a computer and the internet in a safe and responsible manner.
Kids will develop essential skills that will help them in school and in their future careers.
They will be able to type quickly and accurately.
Kids will develop problem-solving skills.
The course is designed to help kids learn about electronics through a series of modules that each teach a different skill.
The course is project-based, so kids will be able to apply the skills they learn in the course to real-world projects.
What you will learn in this course:
Learn the basics of electronics.
Learn the basics of electronic current.
Learn the basics of sensors.
Learn and have fun with different activities and exercises.
Learn about conductors and insulators.
Learn while playing.
Learn how to be safe when using electronic devices.
Course Outline:
Section I
Basics of Electronic Voltage
Basics of Electronics Current
Introduction to Motors
DIY Turntable
Touch Sensors Conductors
Basics of Sensors
Section II
Conductors and Insulators
Touch Piano
Mini Fan
Tobi's Head Moves
Animating Sprite
Waking Animation
Playing Sounds
Let's Chat
Once Upon a Time
Kids love gadgets and electronics. But what are the best ways to introduce kids to these technologies? One option is a digital literacy course. This type, of course, introduces kids to the basics of electronics. Through interactive exercises, kids learn about electronics. These courses are available in many communities around the country, and they can be a great way for kids to get started with technology.
The course is easy to follow. Your child will have access to a great teacher. Your child will learn how to use digital devices responsibly. Your child will have the opportunity to create digital content.
Sign Up now and let's play, learn, and have some FUN!
About the Instructor: Educational Engineering Team
The Educational Engineering Team is a leading team in the Microcontroller Industry, with over 13 years of experience in teaching and practical projects. We strive to share our hands-on experience in these courses, providing step-by-step blueprints on taming both simple and complex topics in easy-to-digest bite-sized videos.
Ashraf:
Educator, Mechatronics engineer, electronics and programming hobbyist, and Maker.
Creator of online video courses on the EduEng YouTube Channel with over 4 million views and 20k+ subscribers.
Author of four Microcontroller books.
Founder and Chief Educational Engineer at Educational Engineering Team.
Passionate about exploring new trends and technology, and helping educate the world.
Our online courses have helped over 250,000 people worldwide to improve their skills and careers in the industry.
Call to Action: Join us and start teaching your kids electronics today! Enroll now and inspire your child's interest in science and engineering.
FAQ:
What is Teach Your Kids Electronics?
It is a beginner’s course designed to teach kids aged 8-12 the basics of electronics through fun and interactive activities.
Do I need prior experience to take this course?
No prior experience is needed; this course is designed for beginners.
What will my child learn in this course?
Your child will learn about basic electronics concepts, components, and circuits, and how to apply this knowledge in practical projects.
Who this course is for:
- Kids with parental guidance
- For Grade School kids with parental guidance
- For kids who love exploring new things with parental guidance
- For children who likes to study while enjoying with parental guidance
- For children who loves activities with parental guidance
- students who love experimenting with parental guidance
The Systems Modeling Language (SysML®) v1.6
Saturday, September 21, 2024
Become proficient with the standard language for model-based systems engineering (MBSE) in two weeks
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Description
The Systems Modeling Language is the standard for Model-Based Systems Engineering (MBSE) as defined by the INCOSE and required by large corporations and government agencies R&D environments.
This course is for systems engineers and enterprise software developers who work in those environments and who are looking for the quickest way to learn SysML and get introduced to MBSE.
This on-demand, self-study course leans on two decades of work in high technology innovation, consulting, and professional education in MBSE and software model-driven development. The course focuses on best practices and hands-on experience gleaned from work on real, large scale projects in various business sectors, medical, automotive, aerospace, and government.
The course author and designer has been involved in professional education in large corporations for 21 years with over 9,000 hours of training and consulting in those environments. He contributed as one of the ten subject matter experts on the panel who oversaw and wrote questions for the OMG SysML certification exam.
In today’s marketplace, an MBSE-versed systems engineer get paid a premium salary for this knowledge. Although it is not designed to be a preparation course for the SysML certification, the learning scope of this course will help you work towards the ‘model builder intermediate’ level of the OMG SysML certification—the four levels are model user, model builder fundamental, model builder intermediate, and model builder advanced.
The aim in this course is to help you learn exactly how leading R&D and engineering organizations are applying this standard language. It will give you a sense of what developing system architectures with SysML looks like for complex and large-scale systems.
Who this course is for:
- Systems Engineers with little to no experience with Model-Based Systems Engineering (MBSE)
- Enterprise software developers working on MBSE-SysML projects (Beginner to mid level)
- Engineers of any discipline working on MBSE-SysML projects (Beginner to mid level)
- Most popular industries with SysML: Aerospace, Defense, Automotive, Medical Instrumentation, and Process Automation
Teaching in Adult Education
Friday, September 20, 2024
How to teach Adults in Adult Education
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Description
This is a course created by an Instructor with a wealth of experience in Adult Education as an Instructor/Lecturer but also as a mature student. Recognising that situations and subjects and teaching/working environment will differ from country to country, educational institution to educational institution, this course is a collection of strategies/tips and overall advice.
But the course does not end there.
Owing to the differences, students are encouraged to post in the Q/A with their specific questions. Post to comment - and/or post for advice.
Topics covered include:
1. Quick tips and when to use them
2. Case Studies
3. Snowballing
4. Key elements of teaching adults
5. Distribution
6. Correcting and corrections
7. Tension
8. How to teach adults
9. Passion
10. Engagement
...and many other topics.
Throughout the lectures real-life examples are given.
How long will this course take to complete?
You could watch the course in a couple of hours - but that's not really the point. The whole idea is for you to watch and then apply the various strategies and THEN report back via the Q/A. Maybe you will have questions, asking how 'lecture 6' can be applied to your class of 50 year-olds etc etc.
See this course as a useful extra to any training you are undergoing as you prepare to teach adults. As you have lifetime access you can therefore ask questions for ever!
Who this course is for:
- Anyone thinking of moving into Adult Education
- Existing teachers/Instructors/Lecturers looking for ideas
- Anyone currently studying/training to work in Adult Education
Java Spring Framework 6 with Spring Boot 3
Monday, July 29, 2024
Master Java, Spring 6 and Spring Boot 3 with JDBC, JPA, Security, Docker and Microservices with Telusko
Are you ready to level up your Java development skills? Dive into the latest Java Spring Framework 6 with Spring Boot 3 and unlock the power of modern application development.
Why choose Spring Framework 6 with Spring Boot 3?
- Cutting-Edge Features: Leverage the newest advancements in Java development for more efficient and scalable applications.
- Enhanced Productivity: Streamline your development process with Spring Boot 3’s powerful new features and improvements.
- Real-World Skills: Gain hands-on experience with practical projects and real-world scenarios.
Whether you’re a seasoned developer or just starting out, mastering the latest in Spring technology will keep you ahead in the competitive tech landscape.
Learn Spoken Malayalam for Absolute Beginners
Sunday, June 30, 2024
Learn Spoken Malayalam for Absolute Beginners, Learn Spoken Malayalam through Sentences, Malayalam Conversations, Role-play scenarios and Vocabulary through pictures.
Description
The first question you might have in your mind is "why should I choose this course to learn Malayalam ?". The answer to this is as below.
1. Most of the people wants to learn Malayalam in order to:
a) Communicate with their loved ones who are native Malayalam speakers.
b) They belong to the Malayalam diaspora and wants to connect with their roots.
c) They are planning to travel to Kerala for a vacation.
d) They love Malayalam language for the beauty of it and the ancient history that it holds.
This course has been designed specially for all these people. You will learn about the culture, usage of certain words and most importantly, you will be able to use what you learnt while you are learning. You don't have to wait until you finish the whole course to start speaking in Malayalam. In fact, I would highly recommend that if possible to practice with a Malayalam native speaker while you do this course.
(Note: This course contains only spoken Malayalam. So, if you are looking to learn old Malayalam to read Malayalam literature or poems then this course is not for you.)
2. I have 12 years of experience in teaching Malayalam to people all around the world. I have trained more than 500 students to become fluent in Malayalam. This course has been created through all the experiences that I have gained over the years.
3. There is no prerequisite for this course. Malayalam Transliteration is provided instead of the actual Malayalam script. So, those who can and cannot read in Malayalam, they both can follow my course.
4. This course contains:
a) Useful Malayalam sentences categorized based on the situations and circumstances that they are needed for.
b) Role play scenarios to improve your Malayalam listening skills and practice along with.
c) Malayalam vocabularies being taught through pictures like vegetables, fruits, wild animals, pet animals, relationship names etc.
d) A separate section dedicated in explaining about the Malayalam culture, festivals and do's and don'ts if you are planning to travel to Kerala.
5. This course does not contain any grammar details or explanation. This course is created for those who doesn't want to learn any grammar and they want to learn Malayalam through absorption method just like a baby does by listening, visualizing and repeating the pronunciation and practicing them little by little. This course is also for those, who already knows Malayalam grammar and they want to improve their conversational skills in Malayalam.
6. I have created multiple "my little word land" course which will help you in memorizing the sentences and vocabularies that is being taught in this course.
Who this course is for:
- This course is meant for Malayalam learners, who is absolutely new to learning Malayalam language.
- Anybody who is curious and passionate about learning languages and interested in exploring the structures of languages.
- Parents and grandparents, who wants to teach Malayalam to their children.
Complete Backend Development 2024 Bundle - Python Roadmap
Wednesday, June 5, 2024
Complete Backend Development 2024 Bundle - Python Roadmap,Become Self-Taught Python Developer - Backend Development in 2024 with Python, Django, SQLite3, Railway, GIT & More!
Description
Welcome to The Complete 2024 Backend Development Bootcamp - Python Roadmap,
Throughout the course, we will explore the most important technologies and concepts you need to know to become a market-ready developer.
Here is the structural flow that we will follow,
Basics of Programming
Core Python
Object-Oriented Programming
Python Projects
Django Core
Django Authentication
Django Deployment
Git and GitHub
Here are few companies that use these technologies -
Google, Facebook, Instagram, Spotify, Quora, Netflix, Dropbox, Reddit, and 1000 others.
Why we prefer Django Framework?
Since Django is written in pure Python, it was originally built around the Model View Controller (MVC) framework. The concept is still applicable in the current version of the framework, as well. But when it comes to Django, developers usually refer to the architecture of Django as Model View Template (MVT).
Three distinct layers are responsible for supporting the architecture, and they can be used separately in the Python Django framework. Models hold information about all your data, and they are represented using attributes/fields. Models have no information about Django layers. Communication between multiple layers is made possible only through an API.
Why this course?
Complete course is focused on project building approach, you learn every concept through a logical approach.
Learn all important concepts in the simplest possible way with tons of examples, projects, and quizzes.
No previous programming or coding experience required, we will cover everything step-by-step from basics.
Enroll now and I will make sure you learn best about development!
Who this course is for:
Beginners Who Want To Start Programming!
Model Based Development -MBD- For Automotive using Simulink
Thursday, March 16, 2023
Model Based Development -MBD- For Automotive using Simulink
To be Model Based Design Engineer
Created by Waleed Elshemy | 5 hours on-demand video course
Model-based development (MBD) is an innovative approach to designing complex systems, such as software applications, control systems, and embedded systems. This methodology involves using models to represent different aspects of the system, such as its behavior, functionality, and structure. By creating and manipulating these models, developers can design, and simulate the system in a controlled and efficient manner.
In this course, you will gain a deep understanding of the fundamentals of MBD and develop the skills necessary to succeed in this exciting field. You will start by learning the basic concepts and principles that underlie MBD, including the different types of models and their applications. You will also explore the various tools and techniques used in MBD, such as implementation and simulation.
By the end of the course, you will have developed a deep understanding of the MBD process and acquired the practical skills to create and deploy models that meet industry standards and requirements. You will be well-prepared to join the MBD field and contribute to the development of complex systems that are efficient, reliable, and cost-effective.
What you’ll learn
0. Understand what is model based development in automotive industry
1. Navigate the Simulink Environment
1.1 Understand the Simulink interface
1.2 Add blocks and run a model
2. Simulink Solvers
2.1 Understand Simulink solvers and their role in model simulation
2.2 Compare variable and fixed step solvers
2.3 Determine which solver is appropriate for embedded systems
3. Basic Libraries
3.1 Recognize key blocks in each library
3.2 Analyze block parameters and their effects on behavior
3.3 Simulate each block with different inputs
4. Code Generation
4.1 Generate C code for individual blocks and block combinations
4.2 Understand the generated code and files
4.3 Analyze how block parameters impact the generated code
5. Custom Libraries
5.1 Create and reuse custom libraries in different models
6. MATLAB Function in Simulink
6.1 Insert and create MATLAB functions within a model
7. Real-World Application: Wiper System Controller
7.1 Implement, simulate and generate code for the Wiper System Controller project
Recommended Course
MATLAB/Simulink for Power Electronics Simulations
MATLAB/Simulink Masterclass for Science and Engineering
Edit sound with Python NumPy: Improve code performance 1000x
Friday, July 15, 2022
Edit sound with Python NumPy: Improve code performance 1000x - Increase code performance 1000x times in Python NumPy by managing well big arrays & vectors in a sound editing program
- Bestseller
What you'll learn
- Code optimization in Python using the NumPy library
- Sound processing in Python using the MoviePy library
- Fundamentals of digital images
- Applying code optimization to binarize digital images
Description
Programming is one of the most flexible fields I know of. You can create a program that achieves a certain task in so many ways. However, that does not mean that all ways are equal. Some are better than others.
That is especially visible when your program has to work with big data. Working with big data means working with gigantic arrays and matrices.
You can create a program that achieves the same task like the other one, but it does so 1000 times faster. It all depends on how you code and which coding practices you use.
And this is what you will learn here. You will learn the good and the bad coding practices, so that you would learn to code the right way when dealing with big data.
In this 100% project based course, we will use Python, the Numpy and the Moviepy library to create a fully functional sound processing program.
This program will import your videos in sequence, extract their audio, automatically identify the silent intervals in that audio, and then cut them out while still keeping some silence on the edges to preserve a bit of pause in between sentences.
Sound processing naturally deals with millions and millions array elements and so it really matters how we write that program. We will do it in a bad way and in a good way, because I want you to see both sides of the coin.
In the end, you will see that the last version of your Python Numpy code will be more than 1000 times faster than the first version, and so, you will see how to code and how definitely not to code.
Finally, I really want you to see that this knowledge is universal and can be applied in other fields as well, not only audio processing. And therefore, in the last section, there will be an assignment in computer vision.
Digital images are in fact, gigantic matrices, and so, it really matters how you handle them in the code. We will build a small program that can binarize these images and we will also do it in a good and in a bad way.
We will use the Python image processing library called Pillow to process all this big data inside the image matrices.
After this course, you will know how to approach programming in the right way from the beginning. Take a look at some of my free preview videos and if you like what you see, then, ENROLL NOW and let's get started! I'll see you inside.
Who this course is for:
- Engineering students
- Engineering professionals
- Data Scientists
- Engineering & Programming hobbyists
- Programmers
Master statistics & machine learning: intuition, math, code
Sunday, February 6, 2022
Master statistics & machine learning: intuition, math, code - A rigorous and engaging deep-dive into statistics and machine-learning, with hands-on applications in Python and MATLAB.
Mike X Cohen
What you'll learn
- Descriptive statistics (mean, variance, etc)
- Inferential statistics
- T-tests, correlation, ANOVA, regression, clustering
- The math behind the "black box" statistical methods
- How to implement statistical methods in code
- How to interpret statistics correctly and avoid common misunderstandings
- Coding techniques in Python and MATLAB/Octave
- Machine learning methods like clustering, predictive analysis, classification, and data cleaning
Requirements
- Good work ethic and motivation to learn.
- Previous background in statistics or machine learning is not necessary.
- Python -OR- MATLAB with the Statistics toolbox (or Octave).
- Some coding familiarity for the optional code exercises.
- No textbooks necessary! All materials are provided inside the course.
Description
Statistics and probability control your life. I don't just mean What YouTube's algorithm recommends you to watch next, and I don't just mean the chance of meeting your future significant other in class or at a bar. Human behavior, single-cell organisms, Earthquakes, the stock market, whether it will snow in the first week of December, and countless other phenomena are probabilistic and statistical. Even the very nature of the most fundamental deep structure of the universe is governed by probability and statistics.
You need to understand statistics.
Nearly all areas of human civilization are incorporating code and numerical computations. This means that many jobs and areas of study are based on applications of statistical and machine-learning techniques in programming languages like Python and MATLAB. This is often called 'data science' and is an increasingly important topic. Statistics and machine learning are also fundamental to artificial intelligence (AI) and business intelligence.
If you want to make yourself a future-proof employee, employer, data scientist, or researcher in any technical field -- ranging from data scientist to engineering to research scientist to deep learning modeler -- you'll need to know statistics and machine-learning. And you'll need to know how to implement concepts like probability theory and confidence intervals, k-means clustering and PCA, Spearman correlation and logistic regression, in computer languages like Python or MATLAB.
There are six reasons why you should take this course:
This course covers everything you need to understand the fundamentals of statistics, machine learning, and data science, from bar plots to ANOVAs, regression to k-means, t-test to non-parametric permutation testing.
After completing this course, you will be able to understand a wide range of statistical and machine-learning analyses, even specific advanced methods that aren't taught here. That's because you will learn the foundations upon which advanced methods are build.
This course balances mathematical rigor with intuitive explanations, and hands-on explorations in code.
Enrolling in the course gives you access to the Q&A, in which I actively participate every day.
I've been studying, developing, and teaching statistics for 20 years, and I'm, like, really great at math.
What you need to know before taking this course:
High-school level maths. This is an applications-oriented course, so I don't go into a lot of detail about proofs, derivations, or calculus.
Basic coding skills in Python or MATLAB. This is necessary only if you want to follow along with the code. You can successfully complete this course without writing a single line of code! But participating in the coding exercises will help you learn the material. The MATLAB code relies on the Statistics and Machine Learning toolbox (you can use Octave if you don't have MATLAB or the statistics toolbox). Python code is written in Jupyter notebooks.
I recommend taking my free course called "Statistics literacy for non-statisticians". It's 90 minutes long and will give you a bird's-eye-view of the main topics in statistics that I go into much much much more detail about here in this course. Note that the free short course is not required for this course, but complements this course nicely. And you can get through the whole thing in less than an hour if you watch if on 1.5x speed!
You do not need any previous experience with statistics, machine learning, deep learning, or data science. That's why you're here!
Is this course up to date?
Yes, I maintain all of my courses regularly. I add new lectures to keep the course "alive," and I add new lectures (or sometimes re-film existing lectures) to explain maths concepts better if students find a topic confusing or if I made a mistake in the lecture (rare, but it happens!).
You can check the "Last updated" text at the top of this page to see when I last worked on improving this course!
What if you have questions about the material?
This course has a Q&A (question and answer) section where you can post your questions about the course material (about the maths, statistics, coding, or machine learning aspects). I try to answer all questions within a day. You can also see all other questions and answers, which really improves how much you can learn! And you can contribute to the Q&A by posting to ongoing discussions.
And, you can also post your code for feedback or just to show off -- I love it when students actually write better code than mine! (Ahem, doesn't happen so often.)
What should you do now?
First of all, congrats on reading this far; that means you are seriously interested in learning statistics and machine learning. Watch the preview videos, check out the reviews, and, when you're ready, invest in your brain by learning from this course!
Who this course is for:
- Students taking statistics or machine learning courses
- Professionals who need to learn statistics and machine learning
- Scientists who want to understand their data analyses
- Anyone who wants to see "under the hood" of machine learning
- Artificial intelligence (AI) students
- Business intelligence students
The Online AP Statistics Course
Friday, February 4, 2022
The Online AP Statistics Course - The Online AP Statistics Course places an emphasis on challenging problem-solving questions and concise video lectures.
Rhomi Tutoring
New
What you'll learn
- Learn to choose which methods for collecting or analyzing data
- Learn to describe patterns, trends, associations, and relationships in data
- Learn to use probability and simulation to describe probability distributions and define uncertainty in statistical inference
- Learn to use statistical reasoning to draw conclusions
Description
Hello everyone!
My name is Sunny and I've been a Statistics tutor for the past 4 years. You may know me from the maker of The Online AP Chemistry Course. As a 5-scorer on the AP Statistics Exam myself, I've invested hundreds of hours in tutoring dozens of students in their AP coursework. In 2019 I started RhomiTutoring, which provides online 1-on-1 tutoring to students around the world. AP Statistics can be a particularly difficult subject for students who are unfamiliar with statistical topics. While it is a "mathematical" subject, you will quickly find that statistics is as much about inference and probability as it is about finding the objective "right answer". At present, there are many educational videos you can find on AP Statistics but few are structured in such a way that follows a detailed curriculum, and the vast majority don't provide practice problems to students. Or worse, the practice problems are simply not of the difficulty that would be needed to achieve a 5.
That's why this course was designed to have an emphasis on problem sets. It contains 6 broad topics, with each topic containing quizzes, lectures and 40+ exercises, along with hours of lectures and several problem sets.
1. Data Analysis
2. Normal Curves and Z-scores
3. Scatterplots, Correlation, and Relationships
4. Probability
5. Sampling and Confidence Intervals
6. Acids and Bases
The Online AP Statistics Course is not associated or endorsed by Collegeboard in any way.
Who this course is for:
- Individuals looking to learn statistics, with an emphasis on Collegeboard's AP Curriculum
Become a Probability & Statistics Master
Tuesday, January 25, 2022
Free Coupon Discount - Become a Probability & Statistics Master, Learn everything from Probability & Statistics, then test your knowledge with 600+ practice questions
BESTSELLER, 4.6 (2,514 ratings), Created by Krista King, English [Auto-generated], French [Auto-generated], 4 more
PREVIEW THIS COURSE - GET COUPON CODE
Description
HOW BECOME A PROBABILITY & STATISTICS MASTER IS SET UP TO MAKE COMPLICATED MATH EASY:
This 163-lesson course includes video and text explanations of everything from Probability and Statistics, and it includes 45 quizzes (with solutions!) and an additional 8 workbooks with extra practice problems, to help you test your understanding along the way. Become a Probability & Statistics Master is organized into the following sections:
Visualizing data, including bar graphs, pie charts, Venn diagrams, histograms, and dot plots
Analyzing data, including mean, median, and mode, plus range and IQR and box-and-whisker plots
Data distributions, including mean, variance, and standard deviation, and normal distributions and z-scores
Probability, including union vs. intersection and independent and dependent events and Bayes' theorem
Discrete random variables, including binomial, Bernoulli, Poisson, and geometric random variables
Sampling, including types of studies, bias, and sampling distribution of the sample mean or sample proportion, and confidence intervals
Hypothesis testing, including inferential statistics, significance levels, type I and II errors, test statistics, and p-values
Regression, including scatterplots, correlation coefficient, the residual, coefficient of determination, RMSE, and chi-square
AND HERE'S WHAT YOU GET INSIDE OF EVERY SECTION:
Videos: Watch over my shoulder as I solve problems for every single math issue you’ll encounter in class. We start from the beginning... I explain the problem setup and why I set it up that way, the steps I take and why I take them, how to work through the yucky, fuzzy middle parts, and how to simplify the answer when you get it.
Notes: The notes section of each lesson is where you find the most important things to remember. It’s like Cliff Notes for books, but for math. Everything you need to know to pass your class and nothing you don’t.
Quizzes: When you think you’ve got a good grasp on a topic within a course, you can test your knowledge by taking one of the quizzes. If you pass, great! If not, you can review the videos and notes again or ask for help in the Q&A section.
Workbooks: Want even more practice? When you've finished the section, you can review everything you've learned by working through the bonus workbook. The workbooks include tons of extra practice problems, so they're a great way to solidify what you just learned in that section.
HERE'S WHAT SOME STUDENTS OF BECOME A PROBABILITY & STATISTICS MASTER HAVE TOLD ME:
“Krista is an experienced teacher who offers Udemy students complete subject matter coverage and efficient and effective lessons/learning experiences. She not only understands the course material, but also selects/uses excellent application examples for her students and presents them clearly and skillfully using visual teaching aids/tools.” - John
“Really good, thorough, well explained lessons.” - Scott F.
“This is my second course (algebra previously) from Ms. King's offerings. I enjoyed this course and learned a lot! Each video explains a concept, followed by the working of several examples. I learned the most by listening to Ms King's teaching of the concept, stopping the video, and then attempting to work the example problems. After working the problems, then watching her complete the examples, I found that I really retained the concepts. A great instructor!” - Charles M.
YOU'LL ALSO GET:
Lifetime access to Become a Probability & Statistics Master
Friendly support in the Q&A section
Udemy Certificate of Completion available for download
30-day money back guarantee
Enroll today!
I can't wait for you to get started on mastering probability and statistics.
- Krista :)
100% Off Udemy Coupon . Free Udemy Courses . Online Classes
Master statistics & machine learning: intuition, math, code
Tuesday, December 7, 2021
Free Coupon Discount - Master statistics & machine learning: intuition, math, code, A rigorous and engaging deep-dive into statistics and machine-learning, with hands-on applications in Python and MATLAB.
- Highest Rated
- Created by Mike X Cohen
- English [Auto]
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- Python Data Science with Pandas: Master 12 Advanced Projects
Preview this Udemy Course GET COUPON CODE
Description
Statistics and probability control your life. I don't just mean What YouTube's algorithm recommends you to watch next, and I don't just mean the chance of meeting your future significant other in class or at a bar. Human behavior, single-cell organisms, Earthquakes, the stock market, whether it will snow in the first week of December, and countless other phenomena are probabilistic and statistical. Even the very nature of the most fundamental structure of the universe is governed by probability and statistics.
You need to understand statistics.
Nearly all areas of human civilization are incorporating code and numerical computations. This means that many jobs and areas of study are based on applications of statistical and machine-learning techniques in programming languages like Python and MATLAB. This is often called 'data science' as is an increasingly important topic.
If you want to make yourself a future-proof employee, employer, data scientist, or researcher in any technical field, you'll need to know statistics and machine-learning. And you'll need to know how to implement concepts like probability theory and confidence intervals, k-means clustering and PCA, Spearman correlation and logistic regression, in computer languages like Python or MATLAB.
There are six reasons why you should take this course:
This course covers everything you need to understand the fundamentals of statistics, machine learning, and data science, from bar plots to ANOVAs, regression to k-means, t-test to non-parametric permutation testing.
After completing this course, you will be able to understand a wide range of statistical and machine-learning analyses, even specific advanced methods that aren't taught here. That's because you will learn the foundations upon which advanced methods are build.
This course balances mathematical rigor with intuitive explanations, and hands-on explorations in code.
Enrolling in the course gives you access to the Q&A, in which I actively participate every day.
I've been studying, developing, and teaching statistics for 20 years, and I'm, like, really great at math.
What you need to know before taking this course:
High-school level maths. This is an applications-oriented course, so I don't go into a lot of detail about proofs, derivations, or calculus.
Basic coding skills in Python or MATLAB. This is necessary only if you want to follow along with the code. You can successfully complete this course without writing a single line of code! But participating in the coding exercises will help you learn the material. The MATLAB code relies on the Statistics and Machine Learning toolbox (you can use Octave if you don't have MATLAB or the stats toolbox). Python code is written in Jupyter notebooks.
I recommend taking my free course called "Statistics literacy for non-statisticians". It's 90 minutes long and will give you a bird's-eye-view of the main topics in statistics that I go into much much much more detail about here in this course. Note that the free short course is not required for this course, but complements this course nicely. And you can get through the whole thing in less than an hour if you watch if on 1.5x speed!
You do not need any previous experience with statistics, machine learning, or data science. That's why you're here!
Is this course up to date?
Yes, I maintain all of my courses regularly. I add new lectures to keep the course "alive," and I add new lectures (or sometimes re-film existing lectures) to explain maths concepts better if students find a topic confusing or if I made a mistake in the lecture (rare, but it happens!).
You can check the "Last updated" text at the top of this page to see when I last worked on improving this course!
What if you have questions about the material?
This course has a Q&A (question and answer) section where you can post your questions about the course material (about the maths, statistics, coding, or machine learning aspects). I try to answer all questions within a day. You can also see all other questions and answers, which really improves how much you can learn! And you can contribute to the Q&A by posting to ongoing discussions.
And, you can also post your code for feedback or just to show off -- I love it when students actually write better code than mine! (Ahem, doesn't happen so often.)
What should you do now?
First of all, congrats on reading this far; that means you are seriously interested in learning statistics and machine learning. Watch the preview videos, check out the reviews, and, when you're ready, invest in your brain by learning from this course!
100% Off Udemy Coupon . Free Udemy Courses . Online Classes
English Pronunciation Masterclass
Tuesday, October 5, 2021
Free Udemy Coupon
English Pronunciation Masterclass, Improve your spoken English with this easy to follow course.
- New
- Created by G Heaney
- English
Online Courses Udemy GET COUPON CODE
What you'll learn
- Speak English with more confidence
- Understand the phonetic alphabet
- Sound more like a native speaker
- Reduce your accent
Description
Hi! My name is Professor G and I'm an English teacher with more than 10 years of teaching experience. I previously studied French and Spanish at university, and I've taught English in a number of countries around the world, including Brazil (Campinas), France (Paris) and Spain (Malaga).
I understand the problems that language learners experience, especially when it comes to speaking the language. When I first moved to France, I had studied French for 5 years, but had very little speaking practice. So, I know how intimidating it can be to speak with native speakers, wondering if you will be understood.
As a result of living in these incredible cities, I decided to focus specifically on teaching language pronunciation and how students could sound more fluent. In language schools, the focus is mainly on things like grammar, writing and reading, which are all important parts of language. However, the only real test of language ability in the real world is 'spoken' communication. Can you communicate confidently with another person face-to-face, by phone, in a Zoom meeting?
My goal is to help you reach this level of confidence with your spoken English, to recognize what mistakes you might be making, and how to correct these mistakes. This course will cover a range of topics, including vowel and consonant sounds, syllables and stress, linking words and intonation. When you purchase this course, I'll also be available to help you along the way with your questions and doubts, and offer you feedback to help you with your progress.
Course benefits include:
Native English teacher.
Easy to understand, neutral accent.
Over 10 years of experience teaching English online and offline.
Short, easy to follow lessons.
Teacher support available when you enroll in the course.
Feedback given on any pronunciation issues you may have.
Money back guarantee.
Course topics include:
Vowel and Consonant sounds, using the International Phonetic Alphabet as a guide.
Syllables and Word Stress.
Linking words together.
Intonation.
Quiz at the end of each section to test your understanding.
Thanks for visiting my page and I'll hopefully see you on the inside...
Professor G : )
Who this course is for:
- All levels of English students
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