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Exam Code: C2090-558 Practice test 2023 by team
C2090-558 Informix 11.70 Fundamentals

Exam Code : C2090-558

Exam Name : Informix 11.70 Fundamentals

Number of questions: 60

Number of questions to pass: 38

Time allowed: 90 mins

Status: Live

The test contains six sections totalling approximately 60 multiple-choice questions. The percentages after each section title reflect the approximate distribution of the total question set across the sections.

Section 1 - Planning and Installation 16%

Identify data access restrictions

Describe database workloads

Describe data type concepts for database planning

Demonstrate knowledge of how to configure and install Informix

Demonstrate knowledge of embeddability considerations and the deployment utility

Section 2 - Security 3%

Demonstrate knowledge of authentication

Demonstrate knowledge of authorizations

Section 3 - DBMS Instances and Storage Objects 14%

Describe how to identify and connect to Informix servers and databases

Demonstrate knowledge of how to create and configure storage objects

Demonstrate general knowledge of the system databases and database catalogs

Section 4 - Informix Tables, Views and Indexes 15%

Given a scenario, describe how to create a table

Describe when referential integrity should be used

Describe methods of data value constraint

Describe the differences between a table, view, sequences, synonyms, and indices

Describe triggers and appropriate uses

Demonstrate knowledge of schema commands

Section 5 - Informix Data using SQL 14%

Describe how to use SQL to SELECT data from tables

Describe how to use SQL to UPDATE, DELETE, or INSERT data

Demonstrate knowledge of transactions

Describe how to call a procedure or invoke a user defined function

Section 6 - Data Concurrency and Integrity 10%

Identify isolation levels and their effects

Identify objects on which locks can be obtained

Describe transaction integrity mechanisms

Section 7 - Tools and Utilities 15%

Describe onstat, oninit, and onmode utilities

Demonstrate knowledge of data movement utilities

Describe sysadmin database and its functionality

Demonstrate knowledge of the features or functions available in Informix tools

Section 8 - Backup and Restore 8%

Demonstrate knowledge of backup procedures

Demonstrate knowledge of recovery procedures

Section 9 - Replication Technologies 5%

Describe the purpose of the different replication technologies

Informix 11.70 Fundamentals
IBM Fundamentals resources
Killexams : IBM Fundamentals resources - BingNews Search results Killexams : IBM Fundamentals resources - BingNews Killexams : Best Free AI Training Courses for 2023

With businesses finding new, inventive ways to use AI almost every day, it's no surprise that AI training courses are becoming increasingly sought after.

Workers in all sorts of industries are looking to upskill themselves in line with the rapid technological changes occurring. Luckily, companies like Microsoft and Google offer free AI training courses, as do some higher education institutions.

In this guide, we cover the best AI training courses currently available, as well as the benefits of learning about AI in the current job market. We've largely focused on free courses that offer immediate, foundational learning opportunities that you can start applying to your job role or career straight away, rather than paid degree courses that cost hundreds or thousands of dollars.

1. Google’s Generative AI Learning Path (10 Courses)

One of the more generous courses available in terms of genuine hours of learning, Google’s Generative AI Learning path has 10 courses on it. All courses take one day to complete.

Seven of the courses are classified as introductory, including “Introduction to Generative AI”, “Introduction to Large Language Models” and “Generative AI Fundamentals”. There are three courses within the learning path described as intermediate, including “Encoder-Decoder Architecture” and “Attention Mechanism: Overview”.

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The first two introductory courses cover a lot of immediately applicable content, such as how to use prompt tuning to get the best out of large language models. There's also a course on the responsible usage of AI.

Although there's no official qualification, you will be awarded a completion badge that you can attach to your digital resume.

2. Microsoft's “Transform Your Business With AI” course

This Microsoft learning path is designed, as the tech giant says, to help businesspeople acquire “the knowledge and resources to adopt AI in their organizations”, and explores “planning, strategizing, and scaling AI projects in a responsible way.”

Microsoft says the objectives for this course are to become familiar with existing AI tools, understand basic AI terminology and practices, and use prebuilt AI to build intelligent applications.

To enroll in this course, which is 2 hours and 40 minutes long, Microsoft says you’ll need a “basic understanding” of IT and business concepts. Modules included in the pathway are:

  • Leverage AI tools and resources for your business (55 mins)
  • Create business value from AI (21 min)
  • Embrace responsible AI principles and practices (48 mins)
  • Scale AI in your organization (36 mins)

3. Linkedin’s “Career Essentials In Generative AI” training course

Linkedin’s AI Career Essentials Course is made up of five different videos, with a total run time of around four hours. Each video is hosted by a different AI expert, covering a range of core concepts and ethical considerations relating to AI models.

One of the videos provides a detailed explanation of how to streamline your work with Microsoft Bing Chat, while another discusses the key differences between search engines and reasoning engines. Although there’s no accreditation or certification, completing this course will earn you a badge of completion from LinkedIn, which can be displayed on your profile.

The fifth video in the series, entitled “an introduction to artificial intelligence” is an hour and a half long and provides a simplified overview of the best AI tools for businesses, which is handy for those who haven’t taken the plunge yet and implemented a tool in work.

4. IBM’s “AI Foundations for Everyone” training course

IBM offers a course entitled “AI Foundations for Everyone” through Coursera, of which over 19,000 people have already enrolled in. You can audit the course for free, which will provide you access to all of the materials and some of the assignments, but you won't be graded or get a certificate at the end.

It’s geared toward beginners and you don’t need prior experience to enroll, and the schedule is flexible so you can learn at your own pace. Along with AI fundamentals, the course will also ensure you’re familiar with IBM’s own AI services, which help businesses integrate artificial intelligence into their existing infrastructure.

IBM says that, by the end of the course, participants will have had “hands-on interactions with several AI environments and applications”.

The course has three modules: “Introduction to Artificial Intelligence”, “Getting Started with AI using IBM Watson”, and “Building AI-Powered Chatbots Without Programming”. Each module takes between nine and eleven hours to complete.

5. Digital Partner's “The Fundamentals of ChatGPT” training course

Digital Partner’s course entitled “The fundamentals of ChatGPT” is a great option for anyone who wants to take a free, accredited course that covers the basics of Generative AI.

During the course, you’ll spend time learning about OpenAI’s role in global AI development, and be able to learn about how ChatGPT works, its advantages and limitations. There’s also a variety of examples included within the course that will show you how to leverage ChatGPT for different tasks, and you'll learn more about the difference between ChatGPT and ChatGPT Plus.

Modules include “Working With ChatGPT”, “ChatGPT and Its Shortcomings” and “Training a GPT Model”.

This free course is available on, and is published by a digital marketing firm called Digital Partner. The course is CPD accredited and a certificate will be awarded upon completion of a small assessment at the end of the 1.5-3 hour program.

6. Phil Ebner’s ChatGPT, Midjourney, Firefly, Bard, DALL-E” AI crash course

While there are some good courses on Udemy that will guide you through the ins and outs of MidJourney and other AI generation tools, this instructor covers the most ground, and almost 12,000 students have already enrolled in the course, which has a 4.6/5 rating on Udemy.

The course is almost two hours long and also includes content that will help you better use tools like ChatGPT to generate text responses as well as images.

The “AI for Visual Creativity” section, however, will show you how to use both MidJourney and Dall-E to create “photorealistic images, illustrations, and digital art in a variety of styles.”

On Udemy, you don’t receive certificates of completion for free courses, but if you're just looking to upskill yourself free of charge, this course is definitely worth a look.

Best Free AI Training courses for Programmers, Developers & Tech Experts

Up next, we have more advanced courses geared towards programming and development.

  1. Harvard University’s “Introduction to Artificial Intelligence with Python”
  2. DeepLearning.AI’s “ChatGPT Prompt Engineering For Developers” (Coursera)
  3. Intro to TensorFlow for Machine Learning (Udacity)
  4. Georgia Tech’s Reinforcement Learning (Udacity)
  5. Become an AI-Powered Engineer: ChatGPT, GitHub Copilot (Udemy)
  6. Great Learning’s “ChatGPT for Beginners” training course

1. Harvard University’s “Introduction to Artificial Intelligence with Python”

Harvard University offers a self-paced, 7-week course on the “concepts and algorithms at the foundation of modern artificial intelligence”.

The time commitment of between 10-30 hours a week – but it’s completely free to enroll and you’ll be supported as you complete projects and attend lectures. However, you need to have taken Harvard’s “Introduction to Computer Science” course first to enroll.

2. DeepLearning.AI’s “ChatGPT Prompt Engineering For Developers” (Coursera)

This course will help you utilize OpenAI’s API to write more effective prompts, learn how large language models can be used to carry out tasks like text transformation and summarizing, and teach you how to program and build a custom AI chatbot.

The course is run by AI expert and DeelLearning.AI co-founder Andrew Ng and OpenAI’s Isa Fulford, and it’s only an hour long. DeepLearning.AI says the course is “free for a limited time”. A basic understanding of Python is needed, but aside from that, it’s beginner friendly.

3. Intro to TensorFlow for Machine Learning (Udacity)

This course teaches participants how to build deep-learning applications with TensorFlow, one of the most popular open-source Python software libraries.

The estimated completion time for the course is approximately two months, and you should have some experience with Python syntax, including variables, functions, and classes, as well as a grasp of basic algebra.

If you take the course, providers Udacity say, you’ll get “hands-on experience building your own state-of-the-art image classifiers” as well as other types of deep learning models.

4. Georgia Tech’s Reinforcement Learning (Udacity)

This Georgia Tech course is free on Udacity and focuses on exploring “automated decision-making from a computer-science perspective”.

At the end of the course – which takes approximately four months to complete, but is also described as self-paced – participants will recreate a result from a published paper on reinforcement learning.

However, it is recommended you have a graduate-level machine-learning qualification and some prior experience with reinforcement learning from previous studies. Experience with Java is also required.

Although there’s no official certificate awarded for completing the course, you can earn a nano degree program certificate by completing Udacity's 4-month long “Deep Reinforcement Learning”, although this costs $1116.

5. Become an AI-Powered Engineer: ChatGPT, Github Copilot (Udemy)

In this course, students will learn how to create high-quality pieces of code using ChatGPT and integrate it with other text editors. It also covers how to use GitHub Copilot.

This might be a free tutorial, but the course has much better reviews than some of the other AI courses available on Udemy, with 56% of watchers who left a review giving the course five stars, and a further 24% giving it four stars at the time of writing.

The course will be best suited to developers who want to leverage AI tools for coding responsibilities in general, and also, to become more efficient in their coding practices.

6. GreatLearning’s “ChatGPT for Beginners” training course

This is a completely free, two-hour long beginners-focused ChatGPT course. It’s one of the only beginner's courses on the internet that includes a section on coding prompts, although it also covers quite a bit of other ground, including email prompting.

There are no prerequisites needed for this course, and it has an average rating of 4.61/5, with 75% of reviewers giving the course 5 stars.

Free College AI Courses and Training

A number of universities and colleges offer AI-focused courses.

  1. Stanford University’s “Machine Learning” Course (Coursera)
  2. Vanderbilt University’s “Prompt Engineering for ChatGPT”
  3. Georgia Tech’s “Machine Learning” Course (Udacity)
  4. The Open University’s “AI Matters” Course (OpenLearn)
  5. University of Pennsylvania’s “AI For Business” (Coursera)
  6. University of Helsinki's “Elements of AI” and “Ethics of AI” Course

1. Stanford University’s “Introduction to Artificial Intelligence” course (Udacity)

This foundational online program, which takes around 10 months to complete at a rate of 10 hours a week, focuses on fundamental AI concepts and practical machine learning skills but is classified as an intermediate course.

The course, which is split into two umbrella sections (“Fundamentals of AI” and “Applications of AI) is completely free if you sign up for Udacity (which also doesn't cost anything).  It consists of 22 different lessons and a string of interactive quizzes.

2. Vanderbilt University’s “Prompt Engineering for ChatGPT”

Jules White, Vanderbilt University’s associate dean for strategic learning programs and associate professor of computer science, has launched a free online course available through Coursera focusing on prompt engineering.

It goes through the most effective approaches for prompt engineering, covering summarization, simulation, programming, and other useful ways you can harness the power of ChatGPT with your inputs.

The course takes around 18 hours to complete and is made up of an introduction to prompts and three separate sessions on prompt patterns, as well as a 2-hour module on examples.

3. Georgia Tech’s “Machine Learning” course (Udacity)

In collaboration with Georgia Tech, Udacity has made an intermediate machine-learning course available for free, which takes around 4 months to complete, although the course listing says you can do it at your own pace.

The course is offered as part of an online master’s degree at Georiga Tech, but taking this course won’t earn you credit toward this degree.

The course covers Supervised and Unsupervised Learning, which are two different types of machine learning, and covers how they're used in AI systems.

However, having a “strong familiarity with Probability Theory, Linear Algebra, and Statistics” and prior experience with statistics is helpful. Students should also have some experience with programming.

4. The Open University’s “AI Matters” course (OpenLearn)

The Open University is a UK-based institution that offers a free course through its learning portal OpenLearn entitled “AI Matters”.

In the course, you'll learn about the “historical, social, political and economic issues in AI”, explore the benefits and limitations of the technology, and discuss ethical risks relating to AI.

The course is six hours long, and you'll be eligible for a certificate of participation.

5. University of Pennsylvania’s “AI For Business” (Coursera)

The University of Pennsylvania's “AI for Business” specialization is made up of four different, free courses:

  • AI Applications in People Management
  • AI Fundamentals for Non-Data Scientists
  • AI Applications in Marketing and Finance
  • AI Strategy and Finance

According to the University of Pennsylvania's website, although the course itself costs $39 to complete, you can enroll in the four individual modules that take up the course for free. Each module will take up around two hours a week to complete.

6. University of Helsinki's “Elements of AI” and “Ethics of AI”

The University of Helsinki has two, free online courses available. The course entitled “Ethics of AI” is geared towards “anyone who is interested in the ethical aspects of AI”, the university says.

The course will familiarize you with common questions that arise in AI ethics and the various ways to approach them.

Elements of AI” is a broader course with 6 chapters, focusing on subjects such as “neural networks”, “machine learning” and “AI problem solving”.  All you need to do to access the course materials is sign up.

The Benefits of Learning About AI

Of course, completing an AI training course can have a number of benefits. From a personal learning perspective, it's one of the best ways you can spend your time – AI is here to stay, and getting a better grasp of how it works might just help you out in the near future.

Plus, the things you learn about AI will be applicable to a wide variety of job roles in almost every sector of the economy, so it's arguably a safer bet than completing a course on a niche or industry-specific topic.

What's more, right now, businesses are looking for people who understand how generative AI tools like ChatGPT work, and how to leverage them effectively. Employees that are conscious of the limitations of AI tools and able to generate useful responses using prompts are going to become more sought after than employees without these skills.

Completing an AI training course is going to look good on your CV, which will help if you're applying for a new job. Evidence that you've taken the initiative to explore an emerging technology is definitely something an employer will find desirable.

Of course, if you don't have much of a budget – or you're not entirely sure what AI training course would be the best use of your time – then trying out some free options is a great place to start.

Yes – Google has a free AI learning path that has ten courses you can complete for free. Each course takes around one day to complete. The modules provide an introduction to generative AI, and although there's no official qualification, you will get a completion badge which you can add to your resume.

Yes – you can learn how to harness the powers of AI on your own, through online guides, tutorials, and courses. There are quite a lot of resources out there now that will show you how to get the most out of generative AI tools like ChatGPT. However, if you want to learn how more complex skills, such as programming a large language model, you may need to seek out a paid course

Yes – Microsoft has a free training path available that consists of four short modules, which cover how to leverage AI effectively in business settings and how to scale AI projects in a responsible, impactful way.
Wed, 16 Aug 2023 20:53:00 -0500 en-US text/html
Killexams : SRE Fundamentals and Security on IBM Cloud No result found, try new keyword!IBM Cloud SRE is guided by nine competency areas that lead to the successful practice of the discipline: Applying Site Reliability Engineering principles Operations Monitoring and ... Fri, 30 Dec 2022 06:21:00 -0600 text/html Killexams : IBM Government Forum Resource Center
Any information you supply is subject to our privacy policy. Access to this content is available to registered members at no cost. In order to provide you with this free service, the Government Executive Media Group may share member registration information with content sponsors.
Sun, 17 Jun 2018 23:10:00 -0500 en text/html
Killexams : Agile and Scrum Fundamentals No result found, try new keyword!After successfully completing this course, you will be able to embrace the Agile concepts of adaptive planning, iterative development, and continuous improvement - resulting in early deliveries ... Sun, 20 Nov 2022 18:20:00 -0600 text/html Killexams : Fundamentals of Transient Low-Current Measurement

Why this webcast is important:
The measurement of fast transient voltages is a relatively well-understood and documented procedure.  However, the measurement of fast transient currents presents a number of measurement challenges that make them much more difficult than measuring voltage transients.  Digital multi-meters (DMMs) and oscilloscopes using either shunt resistors or a current probe are the most common methods for measuring AC current, but they all have drawbacks:

1. DMMs have limited bandwidth and cannot reveal any details about dynamic current behavior

2. Oscilloscope shunt resistor techniques often introduce unacceptable voltage drops and noise, besides having limited dynamic range.

3. Oscilloscope current probes require degaussing and adjustment, and they cannot typically measure below a few microamps of current.

This webcast will review the above solutions and then explain new techniques and equipment that can support the measurement of transient currents into the nanoamp and picoamp range at 1 Ghz sampling rates and up to 200 MHz of bandwidth. While the primary focus of this webcast is on the characterization of devices and materials, many of the techniques to be discussed are general and can also be applied to other situations (such as component and module testing).

Who should view this webcast:
Engineers, scientists and researchers that need to make low-level transient current measurements would benefit from attending this webcast.

In 2014, Agilent’s Electronic Measurement Group became Keysight Technologies, Inc.

Thu, 27 Jul 2023 11:59:00 -0500 text/html
Killexams : IBM Replacing 7,800 Human Jobs With AI, Including Human Resources

"I could easily see 30 percent of that getting replaced by AI and automation over a five-year period."


It's happening — companies are actually replacing human workers with artificial intelligence.

In an interview with Bloomberg, IBM CEO Arvind Krishna said that tech company is slowing or suspending hiring for any jobs that could possibly be done by AI — including, somehow, human resources and other non-customer-facing roles that amount to roughly 26,000 positions.

"I could easily see 30 percent of that getting replaced by AI and automation over a five-year period," Krishna told the publication, which means that in total, AI could replace up to 7,800 jobs.

Part of this reduction, an IBM spokesperson told Bloomberg, may include not rehiring for any jobs that people vacate in the coming months.

The company currently employs about 260,000 people, and with 10 percent of those jobs being in non-customer service roles, it's unclear what may be on the chopping block next.

Here We Go

News of this AI job replacement scheme comes after IBM announced earlier in 2023 that it would be laying off 3,900 people, though as Bloomberg notes, the company has added about 5,000 jobs in the first quarter of the year as well.

While fears of AI replacing human workers have sykrocketed since OpenAI released its game-changing ChatGPT software last year, this appears to be one of the first times a company has been this straightforward about its plans to do exactly that.

That doesn't, however, mean that this is the first time it's happened.

In April, BuzzFeed CEO Jonah Peretti announced that the company was kiboshing its entire news division — a move that came just a few months after it began publishing AI quizzes and content. While the decision to close the pioneering digital newsroom ostensibly was a financial one, it's nearly impossible to see the move to AI and the closure of BuzzFeed News as unrelated.

As of now, it's unclear how exactly IBM plans to go about replacing human labor with AI, but overall it doesn't bode well.

More on AI: Godfather of AI Quits Google, Fears AI's Risks and Regrets His Work

Thu, 04 May 2023 03:37:00 -0500 text/html
Killexams : IBM Maximo Application Suite (MAS) Demo

Learn how to bring teams, data and lifecycle analysis together in real time with the new Maximo Application Suite, re-architected around a single cloud-based vision with shared data, interface, integrated workflow and deep predictive capabilities. Your journey to predictive maintenance begins right here.

Fri, 02 Apr 2021 06:31:00 -0500 en-US text/html
Killexams : 402 - Fundamentals of Natural Resources Distribution

Core/Elective: Core
Credits: 1.0
Quarter Taught: Fall

This course serves as a graduate entry-level introduction to the broad subject of Natural Resource Distribution. The course will introduce various natural resources (electricity, hydrocarbons, water, etc.), and explore the motivations and governance of its stakeholders, and detail its critical operations and optimization now and in the future. subjects covered will include stakeholder analysis, systems of governance, key infrastructure, the role and impact of digitalization, short and long term planning, and the implications of energy transition.

Course Objectives:

  • Understand the overall goals, constraints and opportunities associated with natural resource distribution;
  • Learn the key players, their motivations, business models, and systems of governance that impact them;
  • Understand the hardware, software, tools, and terms of natural resource distribution;
  • Assess the trade-off between key metrics ranging from economics to reliability, resiliency, and sustainability;
  • Understand the impacts of renewable resources and the various issues and opportunities associated with their integration; and,
  • Understand the implications of a grid edge that is becoming much more complex, and the role that others will have on its operations in the future
Wed, 18 Jan 2023 08:02:00 -0600 en text/html
Killexams : Teck Resources Limited's (TSE:TECK.B) Stock Is Going Strong: Is the Market Following Fundamentals?

Teck Resources' (TSE:TECK.B) stock is up by a considerable 8.3% over the past month. Given that the market rewards strong financials in the long-term, we wonder if that is the case in this instance. Specifically, we decided to study Teck Resources' ROE in this article.

Return on equity or ROE is a key measure used to assess how efficiently a company's management is utilizing the company's capital. In other words, it is a profitability ratio which measures the rate of return on the capital provided by the company's shareholders.

View our latest analysis for Teck Resources

How To Calculate Return On Equity?

Return on equity can be calculated by using the formula:

Return on Equity = Net Profit (from continuing operations) ÷ Shareholders' Equity

So, based on the above formula, the ROE for Teck Resources is:

14% = CA$3.8b ÷ CA$27b (Based on the trailing twelve months to March 2023).

The 'return' is the income the business earned over the last year. Another way to think of that is that for every CA$1 worth of equity, the company was able to earn CA$0.14 in profit.

Why Is ROE Important For Earnings Growth?

So far, we've learned that ROE is a measure of a company's profitability. Based on how much of its profits the company chooses to reinvest or "retain", we are then able to evaluate a company's future ability to generate profits. Assuming everything else remains unchanged, the higher the ROE and profit retention, the higher the growth rate of a company compared to companies that don't necessarily bear these characteristics.

A Side By Side comparison of Teck Resources' Earnings Growth And 14% ROE

At first glance, Teck Resources seems to have a decent ROE. On comparing with the average industry ROE of 10% the company's ROE looks pretty remarkable. This probably laid the ground for Teck Resources' moderate 13% net income growth seen over the past five years.

Next, on comparing with the industry net income growth, we found that Teck Resources' reported growth was lower than the industry growth of 31% over the last few years, which is not something we like to see.


The basis for attaching value to a company is, to a great extent, tied to its earnings growth. What investors need to determine next is if the expected earnings growth, or the lack of it, is already built into the share price. Doing so will help them establish if the stock's future looks promising or ominous. Is Teck Resources fairly valued compared to other companies? These 3 valuation measures might help you decide.

Is Teck Resources Using Its Retained Earnings Effectively?

In Teck Resources' case, its respectable earnings growth can probably be explained by its low three-year median payout ratio of 3.4% (or a retention ratio of 97%), which suggests that the company is investing most of its profits to grow its business.

Additionally, Teck Resources has paid dividends over a period of at least ten years which means that the company is pretty serious about sharing its profits with shareholders. Our latest analyst data shows that the future payout ratio of the company is expected to rise to 20% over the next three years. Accordingly, the expected increase in the payout ratio explains the expected decline in the company's ROE to 8.2%, over the same period.


On the whole, we feel that Teck Resources' performance has been quite good. Specifically, we like that the company is reinvesting a huge chunk of its profits at a high rate of return. This of course has caused the company to see a good amount of growth in its earnings. Having said that, on studying current analyst estimates, we were concerned to see that while the company has grown its earnings in the past, analysts expect its earnings to shrink in the future. To know more about the latest analysts predictions for the company, check out this visualization of analyst forecasts for the company.

Have feedback on this article? Concerned about the content? Get in touch with us directly. Alternatively, email editorial-team (at)

This article by Simply Wall St is general in nature. We provide commentary based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. We aim to bring you long-term focused analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material. Simply Wall St has no position in any stocks mentioned.

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Wed, 26 Jul 2023 03:10:00 -0500 en-US text/html
Killexams : RF Fundamentals Part 3 - Signal Generation, Modulation and Vector Signal Analysis

In Part 3 of RF Fundamentals, we will focus on the challenges related to the need to generate and demodulate analog and digitally modulated signals in the RF signal chain. We’ll review CW signal generation and characteristics, including phase-noise and signal synthesis using VCOs and phase-locked-loops. You will learn about analog and digital modulation generation and measurement techniques.

Thu, 27 Jul 2023 11:59:00 -0500 text/html
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