Tag: <span>science</span>

Become the Future Data Scientist by Pursuing the Data Science Training

Posted in Education by anshbookstore on March 16, 2022 @ 10:22 pm

THE DATA SCIENCE COURSE: THE BEST FOR THE ONES WHO LOVE NUMBERS

Data Science, the most booming careers in the field of technology, is playing a crucial role in the field of IT industry. The knowledge base and the skills acquired by pursuing data science training assist the organizations in achieving high profitability and productivity, thereby gaining a competitive edge over others.

Learning data science is highly challenging as it is a broad and fuzzy field. It even involves a lot of fun if you are fine with dealing with numbers and algorithms.

WHAT ALL HAS TO BE DONE TO PURSUE TRAINING IN DATA SCIENCE?

The data science is all about dealing with the data generated on a daily basis and flowing into the organizations’ databases. It is all concerned with studying the origin of the information, what does it represent and then transforming it into a valuable resource. This requires mathematical skills, statistical skills and as well as programming and communication skills.

The proper interpretation and analysis of data by the data scientists assist the organizations in reducing its costs and increasing the efficiency and effectiveness of the organization.

But always remember that before pursuing data science training, always keep into consideration the following points:

a) Learn to love data

First of all, the most essential step that one has to undergo is to develop an interest in numbers and algorithms. The more you learn, the more you will be motivated to pursue it because generally, the ones who pursue data science end up quitting midway.

Always love what you learn; this will definitely assist you in developing an interest in dealing with big data which is associated with numbers and algorithms.

b) Learn by doing

When you involve yourself while learning then you will definitely feel interested in learning. What it means is that always work on projects because that’s the best way through which you are actually applying your theoretical knowledge practically.

It will assist you in developing the required skills that are actually useful and are applicable while dealing with data.

c) Learn how to communicate the valuable information

The process of gathering, analysis, and interpretation of data will be fruitful if and only if you are able to communicate and present the results i.e. the insights extracted from the raw data to the top executives and associates of the company.

Hence it is highly necessary to learn the communication skills for becoming a data scientist.

d) Never maintain the same level of difficulty

Data Science is all about climbing a steep mountain. If you stop climbing and start feeling comfortable then you will never make it. The moment you feel comfortable, just work with an even larger dataset. Always face challenges in life, then only you will be able to reach greater heights in your life be it personal or professional.

Source by Shalini Madhav

07 Mar

Science and Religion – Compatible?

Posted in Education by anshbookstore on March 7, 2022 @ 10:15 pm

Science and religion sometimes have one thing in common – blindness! There are people who have a blind faith in their religion. Like the fundamental Christians who believe in creationism, saying that the earth was made in just seven days. A point of view held in the face of overwhelming scientific evidence to the contrary.

At the same time materialist science assumes that nothing supernatural can ever be proved to exist. This is a world view that stops one from considering all sorts of less tangible phenomena – those that involve subjectivity and cannot be seen with any kind of precision, prediction or control.

So, is science and religion at odds with each other? Alternatively, could they at least potentially be compatible? Both science and religion seek what they believe to be the truth. Here we look at some phenomena to see if the objective truth of science provides sufficient explanation.

Healing & science and religion
The British Medical Journal December 1983 reported on a study of ‘inexplicable spontaneous healing’. It found staggering examples of unexpected improvement or cure in patients suffering disease. Dr Rex Gardner conducted the research. He was then a consultant gynaecologist from Sunderland. The study was done by him following up a number of contemporary cases of spontaneous remission. He either exchanged letters with the physician concerned or he himself examined the patient.

It seems that the body heals itself. When a virus invades it, the invader is repelled and, after illness, recovery sets in. Scientific medicine and other therapies can help this healing process.

This way of thinking lines up with a religious perspective of ‘God’s healing energy’.

Personal choice & science and religion
You make a personal choice about what radio station to listen to or what person to share your life with. The science of psychology does not allow for free-will in this decision. Instead, it thinks decision-making comes from inherited motives e.g. for shelter, food, or affiliation etc, moderated by your experience of social learning.

Science assumes everything is determined by some measurable entity: like what is seen or heard, the chemical state of one’s brain or one’s genetic makeup. No room in this approach for the notion free will – an idea which comes from religion.

Consciousness & science and religion
Consciousness clearly needs the functioning brain. When receiving a blow to the head, you can suffer concussion. This adversely affects external awareness for a while. After a serious stroke that damages part of the brain, one may not be able to speak fluently or understand writing.

With advances in brain scanning equipment, scientists can now observe human consciousness. They see what the brain is doing when the person is aware of remembering, imagining, feeling, thinking and even making choices. It has been found that intense or mystical experiences run in parallel with co-ordinated activity in certain areas of the brain and absence of activity in other parts.

So, does neuroscience fully account for the conscious mind? Does it completely explain how something physical, such as brain tissues with their electrical impulses, have a rich subjective awareness?

One religious writer, Emanuel Swedenborg, wrote that being human, gives us access to rational thoughts coming from a different degree of reality to that of the material plane. For him this higher dimension gives us the quality of subjective experience, with its property of continuity together with a sense of self who is conscious.

Human origins & science and religion
Science declares that it will trace all species of life on earth back through their pedigrees to the simplest forms in which life initially appeared. Human beings appeared later than less complex forms of life.

Modern evolution theory says all this happened through natural variability and chance genetic mutations. The features of the offspring of the successful parents will differ in a tiny way from the characteristics of the previous generation. Over a long time, due to survival of the fittest, this results in the gradual evolution of plant and animal species.

One troubling point, about the scientific account of our origins, is the way the notion of randomness keeps cropping up – random selection of genes in offspring, randomness of genetic mutation, and random changes in the environment conducive to survival. So life, according to science is basically an accident.

Perhaps this is not surprising. All science tends to avoid any account of purpose. However, from a religious angle, Divine Providence foresees and invisibly inflows into the general things of order in the universe including the development of the human race. Not only into what is general but also into the smallest details. If so, then nothing occurs by chance.

Psi & science and religion
Parapsychological research findings are weird. Those few scientists working in this field say they have clearly shown the reality of mind-to mind connections (telepathy). They also say perceiving distant objects or events (clairvoyance) is possible. Astonishingly, perceiving future events (pre-cognition) and even mind-matter interactions (psychokenesis) have been shown.

For example numerous studies demonstrate a consistent – albeit small – effect of mental influence on dice throwing. In his book Entangled Minds, Dean Radin academic parapsychologist talks about sceptical debunkers within mainstream science. They claim these results are due to either chance, sloppy work, selective reporting or fraud. But he says these suggestions can’t actually explain away the results.

There are numerous reports of witnesses testifying to anomalous noises, sudden wild movements, breakage of household items or other unaccountable movement of objects. All these through means other than physical force.

Two British parapsychologists compiled a monumental collection of 500 ‘poltergeist’ cases. One of the authors was Alan Gauld who taught psychology at the University of Nottingham. There are even films of such phenomena.

Conclusion
If scientists believe that only randomness or physical substance is needed to explain reality then science and religion cannot be compatible. However, when they acknowledge they cannot fully account for some important phenomena, then perhaps the religious perspective has something to offer as well. If so, then science and religion might be more compatible than is often assumed.

The founder of the Bahá’í religion said that religion without science is superstition and that science without religion is materialism.

Source by Stephen Russell-Lacy

14 Feb

A New Definition of Science – The Textual Foundation That Represents the Real World

Posted in Education by anshbookstore on February 14, 2022 @ 9:02 pm

The Wikipedia defines science as follows. Science is a systematic enterprise that builds and organizes knowledge in the form of testable explanations and predictions about the universe. Definitions from various sources has to do with knowledge, investigation, study, observation, experimentation, laws, structure, behavior, explanation and systematicity.

They describe science and scientific activities, instead of pointing out what the enterprise is. What science looks like? They also don’t point out what enables science, why and how humans obtain the capability to advance in science. They describe the appearances and many facets of science but don’t make known the nature of science. We are going to find out.

After writing some articles on relations between written language and science, it is time for us to provide a new, text-based definition of science, which is important as a basis for carrying out future discussions of related issues. We have already proposed in previous papers that written language is the foundation of science.

The idea to exclude non-texts

We consider written language as the core of science, while non-texts are the goals, materials and occurrences.

Certainly, scientific activities include both texts and non-texts. Both are indispensable, with non-texts seem to be the real things. Without non-texts, the world wouldn’t exist, not to mention science. However, judging by the properties, we now decided to exclude non-texts from science. Otherwise, science would include virtually all information we can experience. That might lead to uncertainty, vagueness, misunderstanding, chaos and confusion.

Furthermore, we learn science mainly from books and papers. The achievement of scientists is judged by their publications. Some great discoveries are incidental. But they must be fitted into the existing textual framework to become part of the science.

When science is defined based on texts, its nature and properties will be well presented. Science-related investigations will be provided a clear basis. In fact, this definition doesn’t contradict with the common definitions, since texts constitute the systematic enterprise which supports the functions science fulfills.

The non-scientific texts

Texts are omnipresent in our lives, recording everything. But only a portion of them is considered scientific texts. The scientific or non-scientific texts are not different in that they are symbolic and sequential. Although they possess the capability of being science, they do not necessarily fulfil the function.

Descriptive texts

Texts of literature, narrative, fictions, art, instruction, music, advertisement, daily conversation, chatting message, etc. are descriptive and conveying. The sake of them is to describe the non-textual reality, which are the goal, in the center and being emphasized. This kind of texts are important in documenting, communicating the events, understanding of which are not reliant on the texts. The texts are peripheral to the non-texts and not attempting to build their own foundation. On the contrary, scientific texts are needed to understand the phenomena because of the properties of texts and the difficulties in observing the phenomena.

Mentalistic texts

This kind of texts are foundational but don’t represent facts. Collectively, we call them mentalistic texts. They include texts of religion, ethical belief, moral concept, philosophy, and pseudoscience. They tend to center on texts, but are not based on facts, based on vague facts or only reflect biased facts. Representing reality is not their goal. Nor are they intended to be verified. Subjectivity is an element common to this kind of texts. It is some kind of description or insistence on one’s own thought, opinion and argument, refraining from changes, rejecting challenges or denying their failure to account for the facts.

Although these texts don’t aim to represent reality, most of them are derived from facts or imaginations. They serve as an emotional need, spontaneous mental behavior and alternatives to science in some cases. Although not being scientific, they are still able to establish.

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There is no absolute distinction between descriptive, mentalistic and scientific texts. Some portions in descriptive texts or mentalistic texts might be scientific. The same facts could be studied in different kind of texts. For example, texts about history could be descriptive if they focus on the events; or scientific if they derive some regular patterns; or mentalistic if they adhere to creationism.

Indeed, scientific texts might have evolved from descriptive texts and mentalistic texts. That is why modern science was formerly called “natural philosophy”, which emerged from the integration of description of nature and the representational aspect of philosophy.

The text-based definition of science

Then comes the third kind of texts – science, defined as:

Science is the textual foundation that represents the real world.

Criteria of this definition

For the key properties of written language and science, refer to the paper “Language – The Core of Science”[1]. The basic ones are sequentiality and clarity. Now we added a third property – representation of reality. Being representational implies being processed, foundational, established and centered on.

The three properties are used for judgment on whether a text is scientific or how scientific it is. In the paper “Scientific Strength of Writing Systems – The Aspects”, we had explained the sequentility and clarity aspects. The “representation of reality” aspect is discussed in the following subsection.

Establishment of the representation of reality by means of visual processing

The key difference between representation and description is the center is texts for the former, while non-texts being the center of the latter. The accumulation of science is based on existing representational texts, while descriptive texts conform to the facts as they are. Since non-texts are centered on, the properties of texts given in The Paper are not fully exploited in descriptive texts, although which might choose proper or beautiful language in their composition.

The visual characteristic of texts makes it suitable for visual processing, which is needed to build a representation of reality. Through mental processing of the representational texts, we are able to extract consistency, commonalities and regularity, to clarify, refine and simplify information, to find contradictions, to discover new theory by reasoning, to approve or disapprove a new theory, to incorporate new theories into existing knowledge, to establish relations between existing knowledge, to organize and categorize knowledge as it expands. All these are achieved by intensive textual thinking.

The sequential growth of symbolic representation is constantly checked with facts, observations and experiments for validation. The explanation of the facts in textual means is accurate and deterministic, unlikely to change and are relied upon, while the represented non-texts are themselves not sequentially related, not clearly observed or even invisible. Due to the infinite expansion of observations and experiments, the textual representations also expand accordingly in an orderly manner.

Conclusion

Given the new definition of science, our discussions of science-related matters will be on a clear, focused and targeted course. It becomes clear that the science-centered world is in essence founded on scientific texts and the textual mind. Technology, engineering and many life-changing practices are integrated with and reliant on the textual representations.

In the science-text unity, we had put more emphasis on the written language. Now, as we are shifting towards science, there is a new horizon ahead.

References

https://en.wikipedia.org/wiki/List_of_academic_fields

http://en.wikipedia.org/wiki/Science

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[1] Referred to as “The Paper” hereafter.

Source by Charley Pein

05 Feb

Apologia Science Curriculum – Mini Rockets You Can Build

Posted in Education by anshbookstore on February 5, 2022 @ 8:53 pm

We have all been amused by the way an inflated balloon behaves when left loose without tying the mouth. This dynamic action has some principles behind it and Isaac Newton, an English scientist, explained why this happens centuries ago. He said that for every action there is a reaction with equal force in the opposite direction. This law of Newton came to be known as his Third Law of Motion and may or may not be found in homeschool programs such as the Apologia science curriculum. However, I love to make this principle come alive in your homes by teaching you some cool rocket experiments.

When we blow air into a balloon, we apply a force on the rubber wall of the balloon. This wall exerts an equal force back. Therefore, as soon as we release our hold on the mouth of the balloon, the wall pushes the air out. Now, as the air is pushed out of the balloon with force, an equal force works in the opposite direction and pushes the balloon in the opposite direction. This is the same principle that is used to launch rockets.

A rocket engine burns fuel, and therefore a large amount of gases are released. The jet of gases hits the ground with a great downward force. Now according to Newton’s third law, an equal force acts on the rocket in the opposite (upward) direction. Therefore a great thrust is created and the rocket is launched into the sky. You may have read about this in the Apologia science curriculum or elsewhere, but I will teach you to have some fun by making this happen in your home.

Seltzer Pressure Rocket: Fill one-third of an empty film-roll canister (preferably transparent) with water. Drop an effervescent tablet (such as Alka-Seltzer) in it. Place the lid and invert the canister quickly on a sidewalk. What happens? The canister is thrown up into the air just the way a rocket is launched.

When the effervescent tablet reacts with water, it releases carbon dioxide gas. This gas builds up in the canister and ultimately sets off a mini-blast. The gas applies downward force on the lid. As a result, an equal force acts on the canister in the opposite direction, launching it. Repeat with two tablets and see what happens.

Please take help from adults while performing this experiment. Also wear protective eyewear. What does this experiment tell you about the amount of fuel it takes to launch a rocket? What do you learn about the amount of force that is required to generate the equal and opposite launching force of the rocket? To get a better idea, watch a video of a real-life rocket launch.

If you’ve been looking for programs such as the Apologia science curriculum or others, you need look no further. You will find my experiments very easy to perform, and the best thing is that the materials you will require can be found around the house. Take a look at another exciting experiment.

Paper-tube Rocket: Make a paper tube by rolling a strip of paper spirally on a pencil.Secure the tube with duct tape at a few places and slide out the pencil. Fold the upper end of the tube so that air does not pass through it and secure it with duct tape to form the nose. Now insert a drinking straw into this tube rocket and blow hard to launch your rocket.

Want some more exciting ideas? Download your free “Homeschool Parent’s Guide to Teaching Science”, filled with great science experiments and activities at the link below.

Source by Aurora Lipper

15 Jan

Get Certified Data Science Training

Posted in Education by anshbookstore on January 15, 2022 @ 8:40 pm

With the global technological development, a lot of data is being processed each and every day. It has become ubiquitous and unsustainable for any Business Holder to keep it structured and track a resource. To overcome this major difficulty, Data Science – the fast expanding field, has been developed. Every field such as medicine, finance, media or manufacturing has huge sets of data. Therefore the need of data scientists’ skills is sought after everywhere, i.e. they are not bounded to one particular industry!

What do Data Scientists do?

Data Science is an amalgamation of mathematics, statistics, business understanding and programming skills. Therefore, Data Scientists are partly mathematicians, partly computer scientist and partly trend spotters. A Data Scientist helps companies interpret and manage data; deal with processes and systems and solve complex problems with a strong business sense. Their main roles include:

Collecting large sets of structured and unstructured data from various sources.
Determining the data sets and variables.
Ensuring validity, accuracy, uniformity of data.
Analyzing data to interpret trends and patterns.
Discovering solutions and opportunities.

Some of the prominent Data Scientist job titles are:

Analyst
Engineer/Mining
Administrator
The Machine Learning Engineer
Advanced Analytics Professional

Exploring Data Science:

The few courses, one needs to undergo to become a Data Scientist include Python, SQL, R, Blockchain, Statistical Analysis, Visualization, Machine Learning, Deep Learning, Artificial Intelligence, Hadoop, Spark, Internet of Things (IoT), Six Sigma, Mind Mapping, to name a few.

If you have natural curiosity, creative and critical thinking, desire to search out the answers to unasked questions and realize the full potential of data, provided that these concepts of data science excite you, it is the perfect time to consider data science as a career option. The stats suggest that these skills are in high demand and transitioning careers in as little as 6 months of commitment.

A computer programming background, innovative business strategies and ability to communicate complex logics to non-technicians in an easy way are prerequisites to becoming a Data Scientist.

The perks of becoming a Data Scientist:

Data Scientists are in high demand with an offer of handsome salaries. Around 80% of companies focus on investing a large proportion of professionals who can analyze data effectively to prepare better strategies for the future. Data Science training is the pathway to getting hired in the top fortune companies, the Giants, such as Amazon, Microsoft, Google, PayPal, Facebook, Uber, Apple who constantly look for Data Experts. The role is to link the business and technical sides, identify the trends and strategize plans to increase their sales and profits. This field also offers freedom to work on the projects that matters/interests you. Across the globe, both large and small organizations, irrespective of the field, require Data handlers to interpret and analyze the data they create every single day.

Source by Shalini M

06 Jan

10 Interactive Science Education Websites For Grades K-12

Posted in Education by anshbookstore on January 6, 2022 @ 8:34 pm

As science teachers prepare to go back to school for the next school year, some have already returned, they are always searching for good online resources to supplement their lessons. It is always nice when someone helps them by previewing science websites and make recommendations.

The best science education websites are interactive, allowing students to make changes to or manipulate variables to observe what happens and share with others. This falls within the boundaries of inquiry-based teaching and learning. Students are developing their own experiments, observing the results, and reporting their findings.

The following websites have been previewed and meet the criteria of interactive and inquiry-based:

FOSS Web – is designed to support Full Option Science System (FOSS) Science K-8 science kits, but anyone can use the interactive activities for grades K – 8.

Volcano Cams – provides real-time views of volcanoes around the world. Students can observe volcanoes and develop their own experiments using these virtual cams for grades 5 – 12.

Explore eLearning – provides simulators for all science concept areas for grades 3 – 12.

Real-time Stream Flow Data across the Nation – by the US Geological Survey (USGS) provides real-time data typically are recorded at 15- to 60-minte intervals and transmitted to the U.S. Geological Survey offices every four hours. Data can be selected by state and county for grades 8 – 12.

Real-time Water Quality Data across the Nation-by the US Geological Survey (USGS) provides real-time water quality data are returned directly field instruments. Data are updated at five minute to one-hour intervals. Data can be selected by state and county for grades 8 -12.

Design a Roller Coaster – allows students to design their own roller coaster. They are building a conceptual coaster using the same physics concepts that are used to design real coasters for grades 6 – 12.

Human Anatomy Online – allows students to explore the Human Anatomy. Each topic has animations, 100’s of graphics, and thousands of descriptive links, for grades 4 – 12.

Earth and Atmospheric Kids Crossing – allows students explore water, atmosphere, and weather for grades 3 – 8.

Recycle City – lets students explore plenty of ways to see how a city’s residents recycle, reduce, and reuse waste for grades 3 – 8.

MBG Net – allows students to explore Biomes, Freshwater Systems, and Marine Systems of the World for grades 6 – 12.

Source by David Wetzel

31 Dec

A Students Prelude to Management and Computer Science

Posted in Education by anshbookstore on December 31, 2021 @ 8:32 pm

A friend of mine said, “I’ve visited your web sites, viewed your articles, and took a look at your background.” It’s apparent to me, you do not have a background in Information Technology (Computer Science) or Business Intelligence as a field of study acknowledging Computer Science.’

I wondered, does one have to have a background in IT or BI to qualify as a professional in the industry; or does it take a simple interest?

AutoCad, C Language, Visual Basic, Power Point, Java Script, Excel, Access, Cobol, Word (Microsoft Suite), Data Entry/Processing, DOS, Fortran, Lotus Notes, Management Information Systems, HTML, and Management cover a broad spectrum within the beginning or preparation in the world of IT / BI. The eclectic value of the specialization in one or more of this study group is the mastery and/or understanding of all.

About a week ago, I was contacted, recruited, and enrolled in a four-year college program. The recruiter was adept at what she was doing and I went along with the schedule as presented. I continually asked, “How am I going to pay for these college courses?” When the prepared documentation was submitted for the finalization process, it all came down to dollars and cents. The financial aid person finally made contact with me assuming that I was a prime candidate for the ‘Stafford Loan!’ This is a general education loan designed for students to enroll in a given college. I explained to the administrator that I am without money, have no wish to establish a loan (for anything), unemployed, and not to mention…my age is also a factor. With the ability to complete the required studies, I would be done in less than a year. I have three years of accredited college courses with an Associate Degree. I estimated that I would be paying off on a student loan for more than a few years, if I landed a job. I will soon be sixty years of age. Burdened with an educational loan that would probably be on my plate well after I’m sixty-five, I asked the recruiter and financial aid worker, “Do you really believe that I would take out a loan for an extravagant amount of money in the hopes that I would get hired…at my age?” Even if I were to start up a new business, a loan would be a bit risky…improbable. It would have been a good thing if I were able to get back into the classroom.

Whatever happened to the H1-B Program, The NAFTA Treaty, or the “Financial Hardship” Claus with the “Obama Letter” and/or ex-workers that are forced into the utilization/awarding of UC Benefits?

I was promptly dropped from the student roles by the four-year college.

Meanwhile, I am offering data that may help anyone who is interested in the pursuit of computer science knowledge. Should you be attempting to enroll in computer science and management courses, this information will give you a leg up on what is entailed in this multi-faceted field of study. Many schools will teach these courses as pre-requisite(s) to advanced courses in a four-year college. Even if you are not enrolled or intending to enroll in school but only interested in how it all works, the limited amount of information that is detailed in this message will probably aid you in your preparation and/or research.

The outlined courses are:

COBOL (Common Business Oriented Language):

COBOL was first released in the 1960s as a joint venture of industry, universities, and the United States Government. COBOL’s purpose was to provide a high-level computer programming language for the business world. COBOL directly addresses the basic needs of information processing while being easy to use as well. (Take a look at SQL).

COBOL, BASIC, C, JAVA, and PASCAL are examples of high-end level computer language(s). A low-level language is a programming language requiring knowledge of a computers’ internal components…that are non-transferable.

Auto Cad (Computer Assisted Design):

2D (Dimensional) drafting tasks, allow you to get acquainted with computer assisted designing. Auto Cad is designed to assist you in the creation of landscape plans, including setting up layers, adding text and dimensions while making modifications. You can create electrical diagrams using symbols and attributes.

You are taught how to extract the attributes into an Excel Spreadsheet Program. Boolean operations and modeling construct and analyze complex 2D shapes and images for isometric drafting, a method for simulating 3D drawings and Lt drawings. Explaining the use of Auto Cad, one can learn to embed DWF (Drawing Web format) files in web pages. An overview of Auto Cad and progressive projects teaches you how to create drawing projects, landscape plans, and/or electrical schematics. The Internet related topics include direct access to particular web sites, opening and saving, drawings on the web, and embedding DWF files in a web page,

C Language:

The available text on C Language enables the student to be taught both a rational approach to program development and an introduction to ANSI C. Because the first goal is primary, a disciplined approach to solving problems and applying widely accepted software engineering methods to design program solutions as cohesive, readable, and reusable modules. ANSI C (American National Standards Institute), is a standardized, industrial-strength programming language known for its power and portability. C Language helps the student consolidate their understanding of pointers as arrays, output parameters, and file accesses. Just prior to their exploration of the role of the pointer in dynamic memory allocation.

C Language is widely perceived as a language to be tackled only after one has learned the fundamental of programming in some other friendlier language. Designers as a vehicle for programming the UNIX operating system, C Language found its original clientele among programmers who understood the complexities of the operating system and the underlying machine concepts that are not in the syllabus of a standard introductory programming course. C Language is for computer science majors and/or students of a wide range of other IT/BI disciplines.

Visual Basic:

The easiest and fastest way to write 32-Bit Windows-Based programs is the Microsoft Visual Basic Programming System. One can learn to work with ActiveX controls, compiler options, and new development tools. You can master programming fundamentals, including variables, decision structures, loops, and functions. Creating custom dialog boxes, clocks, menus, animation effects, managing text files, encryption, and sorting algorithms are learned through the utilization of Visual Basic Programming. VB also adds dimension and automation to integrate Microsoft Excel, Microsoft Word, Microsoft Outlook, and other features into an application. Other examples of the integrational power of Visual Basic include the ability to explore ActiveX controls that process RTF (Rich Text Format), run videos, display progress information, and play audio compact discs (CDs). You can also call the memory management function in the Windows API (Application Program Interface), download FTP (File Transfer Protocol), and HTML (Hyper Text Markup Language) files from the Internet and design DHTML (Dynamic Hyper Text Markup Language) pages, exploit ActiveX data objects (ADO) with learned skills from Visual Basic.

Power Point:

Power Point is a computer presentation graphics package. It gives you everything you need to produce a professional-looking presentation, i.e., word processing, outlining, drawing, graphing, and presentation management tools. A formal presentation to a large audience using 35mm slides of a more intimate presentation in a small conference room using overhead monitors, and/or an email presentation – Power Point has it all! The user is empowered with an outline to help organize his/her thoughts, an on-screen slide show with special effects such as animated bullet points, speakers notes, and audience hand-outs. Users of Power Point create color schemes, masters, and templates…there are ways to create the look you want for your presentation.

Java Script:

It is supposedly easy according to some Java Script authors. To start a simple script that makes cool things happen on your web page…in addition to more complicated stuff, as you need it.

Because the web is a dynamic medium, page designers want their pages to interact with the user. It soon became obvious that HTML was insufficient to handle the demand. Java Script was invented by Netscape to control the web browser, and add pizzazz and interactivity to your web pages.

Excel:

Objectives – to reach the fundamentals of Microsoft Excel, to expose students to examples of the computer as a useful tool, to develop an exercise – oriented approach that will allow students to learn by example and to encourage independent study. Students are introduced to Excel terminology, the excel window, and basic characteristics of a worksheet and workbook. The applications include entering text, numbers, selecting a range using the auto sum button, copying using the fill handle, changing font size, bolding, centering across columns and rows (columns and fields), the auto format command, charting using the chart wizard, and the auto calculate area through-out the grid of columns and rows of the Excel spreadsheet. Any form of accounting, be it business, personal, or otherwise, Excel is a must study program for recording, charting, and analytics.

Access:

Microsoft Access includes two tools that provide assistance in helping to refine the design on an Access database. The GUI (Graphic User Interface) Development Environment of Microsoft Access, with menu commands, tool bars, buttons, tool tips, examples and help screens make development easier. Sound, quality relational database design and development requires considerable knowledge and expertise, no matter what the platform. Access, a Relational Data Base Management System, has the ability to manage data files from a single database. A must study course for any and all Data Base Administration, Business Administration, Secretarial Administration, and Computer Science students.

Word (CMOU – Certified Microsoft Office User):

Creating and Editing word documents; Wizards and Templates to create a Cover letter and Resume; creating a Research Paper with a Table; creating Web Pages; creating a document with a Title Page and Tables; generating Form Letters, Mailing Labels, and Envelopes; creating a Professional Newsletter, and using Word Art to add Special Text Effects to a Word document.

DOS (Direct Operating System):

Before Windows, there was DOS. With just a few mouse clicks, any Windows PC can revert to the original “Disk Operating System.” Under DOS, all program files are named with either a COM, and EXE, or a BAT ending (called a filename extension). The DIR (Directory) Command is used to find files by name as well as to locate files in other Sub Directories on a disk. The output of the DIR command shows a list of files on a disk. The list has five columns: the file’s name, the file’s extension (part of the name), the file’s size (in bytes or characters), the date the file was created or last modified, and the time of the last modification (changes).

Lotus Notes:

Lotus Notes is a Document-Centric Database Management System. Lotus Notes is a Cross-Platform, Secure, Distributed Document-Oriented Database, Messaging Framework and Rapid Application Development Environment that includes Per-Built Applications. Lotus Notes is an Integrated Desktop Client Option for accessing business email, and Groupware System. Lotus Notes operates as the Client Side of a Client – Server Application.

Fortran (A Scientific Language):

Formula Translation – was designed to allow easy translation of math formulas into code of High-End Language. Fortran was designed n the 1950s. It used the first compiler (A program that translates source code into object code) ever developed. Fortran was designed to be a programming language that would be suitable for a wide variety of applications while being easy to learn

Fortran expresses mathematical functions as it permits severely complex mathematical functions to be expressed similarly to regular algebraic notations.

RDBMS (Relational Database Management Systems):

RDBMS was designed for the business organization. It requires extremely careful planning, setting up and maintenance. A database is a collection of information that’s related to a particular subject or purpose, such as tracking customer orders or maintaining a music collection. If your database isn’t stored on a computer, or only parts of it are, you may be tracking information from a variety of sources that you have to coordinate or organize yourself. Access can manage all or your information from a single database file, within the file, divide your data into separate storage containers called tables; view, add, and update by using forms; find and retrieve just the data you want by using queries; and analyze or print data in specific layout by using reports. RDBMS Systems allow users to view, update, or analyze the database’s data from multiple locations. When the data is updated, it is automatically updated everywhere it appears.

Information Management Systems (M.I.S.):

MIS combines tech with business to get users the information they need to do their jobs Better Smarter and Faster. MIS Systems are planned systems of the collecting, processing, storing, and disseminating data in the form of information that is needed to carry out the functions of management. The system(s) consist of people, equipment, and procedures to gather, sort, analyze, evaluate, and distribute needed, timely, and accurate information to decision makers – “The Right Information to the Right People At The Right Time!”

MIS is actually Information Technology Management and arguably not considered to be computer science. Armed with this information, the contingent, aspiring, Computer Science, Business Administration, Secretarial Sciences, Computer Hardware (A plus), and Accounting Student(s) will be prepared to face the challenges the IT/BI industry and the respective colleges have to dish out.

My friend and other cynics have caused me to wonder after comments were made. I wondered, what does it take…what form of study qualifies as a computer science student with a major in IT/BI? Well, I’ve studied all of the aforementioned programs and/or courses with an acceptable level of understanding, study, utilization, and practice…not to mention all of the other technological software/programs, articles, periodical reports, and white-papers involved in the learning process? Is it due to my background and experience in the Transportation / Hospitality / Customer Service Industry for a good many years? Or was it in fact… IT/BI Study/Research was secondary? “One Never Knows…Do One?”

What would it take to qualify as having a background in the field of “IT/BI – Computer Science” after studying all of those courses?

The point is…GAINED KNOWLEDGE!

Til next time…

Gregory V. Boulware

Source by Gregory V. Boulware

16 Dec

Data Science and Its Rising Importance In Cybersecurity [Big Data Analytics]

Posted in Education by anshbookstore on December 16, 2021 @ 8:27 pm

Data Science & Cybersecurity – what is big data analytics? Why is machine learning applications so important? Why did InfoSec Professionals require to learn about DS? What to know about “data bots” as a data science professional? Differences in data science vs machine learning? How to crack cybersecurity jobs with data science advantage?

DS is a multi-sided field that uses scientific techniques, methods, algorithms, and security practices to extract information and insights.

With the help of DS tools such as Machine Learning and Big Data Analytics, businesses can now get access to meaningful insights hidden within massive data-sets.

This is where DS can help create a significant and lasting impact.

DS and cybersecurity, two of the most popular career paths, are on a collision course. Very intelligent, seasoned, senior managers do not fully understand the importance, or the complexities, of DS and cybersecurity. “There’s a mad rush in the cyber security solutions space to use the terms machine learning, analytics, and DS in conjunction with security products. The CERT Data Science and Cybersecurity Symposium highlighted advances in DS, reviewed government use cases, and demonstrated related tools. Applied DS for Cyber Security. In today’s world, we are assailed by ever-increasing amounts of data and increasingly sophisticated attacks. The programme is designed to build students’ knowledge and develop their expertise in network security, cryptography, DS, and big data analytics. The NACE Center and BHEF conducted research into two skills likely to be important in the future economy: data analytics and cybersecurity skills. A data scientist is a professional with a blend of skills in computer science, mathematics and cybersecurity domain expertise. Cyber Security is a fast-growing field in an ever-interconnected world. Learn why it matters and what data science has to do with it. Data science, along with technologies such as machine learning and artificial intelligence, has found its way into countless security products. Leading experts in the fields of data science and cybersecurity discussing a range of topics related to the role -DS has in addressing the issues.

The section of knowledge will illustrate the inter-relationship between several data management, analytics and decision support techniques and methods commonly adopted in. With automation and AI able to pick up jobs that humans need them to, data analytics and cybersecurity might find it easier to hire skilled employees. Although machine learning tools are commonly used in numerous applications, the big boom of advanced analytics in cybersecurity is yet to come. And that will be interesting to see the future tools to cop up with. Fingers crossed.

Source by Vinayak SP

07 Dec

Writing Science Poetry

Posted in Education by anshbookstore on December 7, 2021 @ 8:23 pm

Science poetry or scientific poetry is a specialized poetic genre that makes use of science as its subject. Written by scientists and nonscientists, science poets are generally avid readers and appreciators of science and “science matters.” Science poetry may be found in anthologies, in collections, in science fiction magazines that sometimes include poetry, in other magazines and journals. Many science fiction magazines, including online magazines, such as Strange Horizons, often publish science fiction poetry, another form of science poetry. Of course science fiction poetry is a somewhat different genre. Online there is the Science Poetry Center for those interested in science poetry, and for those interested in science fiction poetry The Science Fiction Poetry Association. In addition, there’s Science Fiction Poetry Handbook and Ultimate Science Fiction Poetry Guide, all found online. Strange Horizons has published the science fiction poetry of Joanne Merriam, Gary Lehmann and Mike Allen.

As for science poetry, science or scientific poets like science fiction poets may also publish collections of poetry in almost any stylistic format. Science or scientific poets, like other poets, must know the “art and craft” of poetry, and science or scientific poetry appears in all the poetic forms: free verse, blank verse, metrical, rhymed, unrhymed, abstract and concrete, ballad, dramatic monologue, narrative, lyrical, etc. All the poetic devices are in use also, from alliteration to apostrophe to pun to irony and understatement, to every poetic diction, figures of speech and rhythm, etc. Even metaphysical scientific poetry is possible. In his anthology, The World Treasury of Physics, Astronomy, and Mathematics, editor Timothy Ferris aptly includes a section entitled “The Poetry of Science.” Says Ferris in the introduction to this section, “Science (or the ‘natural philosophy’ from which science evolved) has long provided poets with raw material, inspiring some to praise scientific ideas and others to react against them.”

Such greats as Milton, Blake, Wordsworth, Goethe either praised or “excoriated” science and/or a combination of both. This continued into the twentieth century with such poets as Marianne Moore, T. S. Eliot, Robinson Jeffers, Robert Frost and Robert Hayden (e.g. “Full Moon”–“the brilliant challenger of rocket experts”) not to mention many of the lesser known poets, who nevertheless maintain a poetic response to scientific matters. Says Ferris, “This is not to say that scientists should try to emulate poets, or that poets should turn proselytes for science….But they need each other, and the world needs both.” Included in his anthology along with the best scientific prose/essays are the poets Walt Whitman (“When I Heard the Learn’d Astronomer”), Gerard Manley Hopkins “(“I am Like a Slip of Comet…”), Emily Dickinson (“Arcturus”), Robinson Jeffers (“Star-Swirls”), Richard Ryan (“Galaxy”), James Clerk Maxwell (“Molecular Evolution”), John Updike (“Cosmic Gall”), Diane Ackerman (“Space Shuttle”) and others.

Certainly those writing scientific poetry like those writing science fiction need not praise all of science, but science nevertheless the subject matter, and there is often a greater relationship between poetry and science than either poets and/or scientists admit. Creativity and romance can be in both, as can the intellectual and the mathematical. Both can be aesthetic and logical. Or both can be nonaesthetic and nonlogical, depending on the type of science and the type of poetry.

Science poetry takes it subject from scientific measurements to scientific symbols to time & space to biology to chemistry to physics to astronomy to earth science/geology to meteorology to environmental science to computer science to engineering/technical science. It may also take its subject from scientists themselves, from Brahmagypta to Einstein, from Galileo to Annie Cannon. It may speak to specific types of scientists in general as Goethe “True Enough: To the Physicist” in the Ferris anthology. (Subsequent poets mentioned are also from this anthology.)

Science poetry may make use of many forms or any form from lyrical to narrative to sonnet to dramatic monologue to free verse to light verse to haiku to villanelle, from poetry for children or adults or both, for the scientist for the nonscientist or both. John Frederick Nims has written for example, “The Observatory Ode.” (“The Universe: We’d like to understand.”) There are poems that rhyme, poems that don’t rhythme. There’s “concrete poetry” such as Annie Dillard’s “The Windy Planet” in which the poem in in the shape of a planet, from “pole” to “pole,” an inventive poem. “Chaos Theory” even becomes the subject of poetry as in Wallace Stevens’ “The Connoisseur of Chaos.”

And what of your science and/or scientific poem? Think of all the techniques of poetry and all the techniques of science. What point of view should you use? Third person? First person, a dramatic monologue? Does a star speak? Or the universe itself? Does a sound wave speak? Or a micrometer? Can you personify radio astronomy?

What are the main themes, the rhythms? What figures of speech, metaphors, similes, metaphor, can be derived from science. What is your attitude toward science and these scientific matters?

Read. Revise. Think. Proofread. Revise again. Shall you write of evolution, of the atom, of magnetism? Of quanta, of the galaxies, of the speed of sound, of the speed of light? Of Kepler’s laws? Shall you write of the history of science? Of scientific news?

Read all the science you can.

Read all the poetry you can.

You are a poet.

You are a scientist.

What have you to say of the astronomer, the comet, of arcturus, of star-sirls, of galaxies, of molecular evolution, of atomic architecture, of “planck time” to allude to other poetic titles.

What does poetry say to science?

What does science say to poetry?

Source by Susan Shaw

16 Nov

The Art of Teaching Homeschool Science

Posted in Education by anshbookstore on November 16, 2021 @ 8:11 pm

When it comes to homeschooling your kids in the subject of science, is there a cut-and-dried formula? While many parents have been led to believe there is, the reality is that it’s more beneficial to treat the process as an art than a science. It’s important for kids to use their natural curiosity to explore the world around them and truly enjoy science class. The following artful tips will help you teach homeschool science in a way that makes it fun and engaging.

Active Learning Through Open Inquiry

There are lots of scientific facts and data to be learned. But rather than have your child passively learn via memorization, science becomes interactive through the process of open inquiry. Encourage your kids to think about how things might work before telling them how scientists have discovered they actually do work; encourage them to question.

Kids are born with natural curiosity and will ask questions in the natural course of their learning. Rather than answer their queries with rote facts, answer them with questions of your own that make them think more deeply about a subject. If your child asks, “Why is the sky is blue?”, counter that with, “What do you think there is in the atmosphere that produces the color blue?” That’s open inquiry that encourages exploration and discovery.

Science Should Be Explored

There is a way of teaching that chokes off a child’s natural curiosity and then there is a way of teaching that encourages inquisitive minds to further explore scientific theories and facts.

If you think that science is a “hard” subject to learn, it’s probably because you were taught to memorize random facts or complicated equations. This is not the most effective approach to teaching science. Just knowing random facts about something doesn’t mean you understand it.

The same is true for your child. Don’t worry about having her memorize a set of facts, but encourage her to ask questions that come from her innate sense of curiosity. So rather than asking her to learn the Latin names for each species of North American bird, for instance, help her find the answers to things she wants to know, such as how birds are able to fly and how they communicate with each other and what types of food they eat.

Break the Rules of Experimentation

Performing hands-on experiments is a vital part of learning science. But rather than insisting that experiments follow a prescribed set of steps or rules, allow your child to dive right in and maybe even make mistakes. Guidelines are good but there’s no reason you can’t break the rules and, in fact, you should do so regularly. This encourages lots of questions and further experimentation to see what might happen if… if a variable is changed or if the experiment is moved or if the same results would occur with other variables. You never know, you and your child might just discover something new.

Teaching your kids science is about more than just following a prescribed curriculum. Every now and then you should step outside the box and see what happens. Have your kids think about broader possibilities and help them discover answers to their questions on their own. All science is really an art; it’s not black and white but shades of gray that color the results of those who dare to be curious and explore the world around them.

Source by Dr Rebecca Keller