Английский язык для системных аналитиков. English for Systems Analysts. Учебное пособие
.pdfChris: Definitely. It helps with security too, predicting issues and detecting attacks like DDoS.
Mark: Impressive. And I bet it improves network performance.
Chris: It tracks top applications and manages QoS policies in real-time.
Mark: Useful tool. We should check it out.
Chris: Agreed. Let's set up a demo to learn more about it.
3.Give a summary of the text (ɉɪɢɥɨɠɟɧɢɟ 1).
4.Project work. Work in groups. Compare different network analyzers. Present your findings in class.
https://www.comparitech.com/net-admin/network-ana- lyzers/
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Text 6
Describing graphs and charts
Before reading activities
Work in pairs. Name different types of graphs and charts.
https://piktochart.com/blog/types-of-graphs/ https://www.intellspot.com/types-graphs-charts/
Reading activities
1. Thranslate the following word combinations.
Bar chart, pie chart, flow chart, spline chart, box and whisker chart, radar chart, diagram, Venn diagram, bubble diagram, histogram, scatter plot, pictogram bar graph, pyramid graph.
2. Work in groups. Read and translate the text.
https://www.ielts-mentor.com/writing-sample/academic- writing-task-1/2810-production-and-demand-for-steel-in- the-uk-in-2010
Sample Answer 1.
The first line graph compares the steel production and the demand in the UK in 2010 while the second one reveals the employee number in the industry in the same year. Overall, the production of steel was higher throughout the year than that of the demand except in December and the highest number of employees was employed in this industry at the beginning of the year.
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According to the first graph, the UK produced 4000 million tonnes steel in January 2010 and at that time the demand was exactly half of that. After the first quarter, the production and needs for steel remained almost the same. At the end of the second quarter, August, the UK’s steel production stool at just over 3 thousand million tonnes against a million tonnes less demand. From January to November, the production was higher than the demand and the
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gap between these two was on average a million tonne. However, the scenario shifted dramatically at the end of the year. From September to November, steel production plummeted and so did the demand. In December, the demand for steel exceeded the total production.
The second line graph reveals that 5 million employees worked in the steel industry and this number dropped to two million less in April. From that time onward, the employee number showed some fluctuations and in August, the UK steel sector employed around 3.5 million workers. This number continuously dropped throughout the rest of the year and declined to 1 million in December.
Sample Answer 2.
The line graph outlines the production and demand for steel in million tonnes in the UK in 2010 and the number of workers employed in this sector. Generally speaking, the production of steel in the UK was higher than the demand and the number of workers in this sector directly affected the production capability.
At the beginning of 2010, the demand for steel was 4000 million tonnes which was double than the actual demand. The steel production and demand in April remained almost the same in April. In August, at the end of the third quarter, the demand unchanged but the production dropped to just over 3000 million tonnes. The demand dramatically fell in November and at the end of the year, the demand went higher than the production. During this time the demand for steel was 2000 million tonnes against less than 1000 million tonnes production.
The production of steel is correlated with the employed workers in this sector. In January 2010, the steel industry in
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the UK employed 5 million workers and it went as high as roughly 5.8 million in February. From March to July, the workers’ number stood at an average 2 million and kept on declining from September till December. At the end of the year, the UK steel sector employed 1 million people.
Model Answer 3.
The first line graph presents a comparative analysis of the market requirement for steel and production of this material in 2010 in the UK. The second graph shows the total number of workers employed in this industry in the same year. Overall, the steel production in the UK in 2010 surplused the demand, except at the end of the year.
The production of steel throughout the time exceeded the demand. In the first quarter of the year, the actual market call for steel started at 2000 million tonnes in January, but production was two times with a continuous rise. Later somewhere in April, the demand started reducing, but production was soaring and reached 5000 million tonnes. Moreover, demand showed further fluctuations approximately till November and fell to almost zero whereas production of the steel attained plateau for some time with further variations and started falling later. After that, in December the demand was nearly double than the production.
From the second graph, it is evident that the total number of workers in the steel industry in the UK was 5000,000 in January and it rose for a month or so. But it then showed a sudden plunge and reached 3000,000 by April, with further fluctuations in number till August. However, the number of workers continued to fall and reached 1000,000 by the end of the year.
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3. Study the vocabulary to describe graphs.
https://ielts-up.com/writing/ielts-describing-graphs.html
Introducing the graph.
The graph/table/pie chart/bar chart/diagram ...
−gives information about/on ...
−provides information about/on ...
−shows ...
−illustrates ...
−compares ...
−explains why ...
−describes ...
Types of changes
a rise (of), to rise an increase (of), to increase
a growth (of), to grow a peak (of), to peak
a surge (of), to surge
a fall (in), to fall a decrease (in), to decrease
a decline (in), to decline a dip (in), to dip
to dive to plunge
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a fluctuation (of) a variation (in) to fluctuate
to vary
4.Find the graph. Describe it using the following words.
http://en.wikipedia.org/wiki/Graph_database https://learnenglishteens.britishcouncil.org/skills/writ- ing/advanced-c1-writing/describing-graph-trends-over- time https://learnenglish.britishcouncil.org/skills/writing/inter- mediate-b1/describing-charts https://learnenglishteens.britishcouncil.org/skills/writ- ing/upper-intermediate-b2-writing/writing-about-bar-chart
Increased gradually/sharply – ɭɜɟɥɢɱɢɥɨɫɶ ɩɨɫɬɟ-
ɩɟɧɧɨ/ɪɟɡɤɨ.
Rose slowly/rapidly – ɪɨɫɥɨ ɦɟɞɥɟɧɧɨ/ɛɵɫɬɪɨ. Climbed dramatically – ɩɨɞɧɢɦɚɥɨɫɶ ɡɧɚɱɢɬɟɥɶɧɨ. Dropped sharply/slightly – ɭɩɚɥɨ ɪɟɡɤɨ/ɧɟɡɧɚɱɢ-
ɬɟɥɶɧɨ.
Fell rapidly/ gradually – ɭɩɚɥɨ ɛɵɫɬɪɨ/ɩɨɫɬɟɩɟɧɧɨ. Declined dramatically, slowly – ɫɧɢɡɢɥɨɫɶ ɡɧɚɱɢ-
ɬɟɥɶɧɨ/ɦɟɞɥɟɧɧɨ.
Stabilized – ɫɬɚɛɢɥɢɡɢɪɨɜɚɥɨɫɶ. Leveled off – ɜɵɪɨɜɧɹɥɨɫɶ.
Remained constant – ɨɫɬɚɜɚɥɨɫɶ ɩɨɫɬɨɹɧɧɵɦ.
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The vertical axis represents – ɧɚɜɟɪɬɢɤɚɥɶɧɨɣɨɫɢɭɤɚ-
ɡɚɧɵ.
The line on the graph illustrates the relationship between... and... – ɤɪɢɜɚɹ ɝɪɚɮɢɤɚ ɞɟɦɨɧɫɬɪɢɪɭɟɬ ɫɨɨɬ-
ɧɨɲɟɧɢɟ ɦɟɠɞɭ... ɢ...
The trend/pattern revealed by this graph is... – ɬɟɧɞɟɧ-
ɰɢɹ/ɦɨɞɟɥɶ, ɩɪɨɫɦɚɬɪɢɜɚɟɦɚɹ ɧɚ ɝɪɚɮɢɤɟ, ɫɜɢɞɟɬɟɥɶ-
ɫɬɜɭɟɬ ɨ ɬɨɦ, ɱɬɨ...
If this trend holds... – ɟɫɥɢ ɷɬɚ ɬɟɧɞɟɧɰɢɹ ɫɨɯɪɚ-
ɧɢɬɫɹ...
By studying this graph we can predict that... – ɢɡɭɱɢɜ
ɝɪɚɮɢɤ, ɦɵ ɦɨɠɟɦ ɩɪɟɞɫɤɚɡɚɬɶ, ɱɬɨ...
What are some of the implications evident from studying this graph? – ɤɚɤɢɟ ɜɵɜɨɞɵ ɫɬɚɧɨɜɹɬɫɹ ɨɱɟɜɢɞɧɵɦɢ
ɩɨɫɥɟ ɢɡɭɱɟɧɢɹ ɷɬɨɝɨ ɝɪɚɮɢɤɚ?
One is – ɨɞɢɧ; another is – ɞɪɭɝɨɣ….
Is expected to fall dramatically – ɨɠɢɞɚɟɬɫɹ ɡɧɚ-
ɱɢɬɟɥɶɧɨɟ ɩɚɞɟɧɢɟ.
Is predicted to decline steadily – ɩɪɟɞɫɤɚɡɵɜɚɟɬɫɹ ɭɜɟɪɟɧɧɨɟ ɫɧɢɠɟɧɢɟ.
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Text 7
Programming languages and software
Pre reading activities
What programming languages do you use? Why? Discuss in pairs.
Reading activities
1. Read, translate the text and answer the questions.
1.What are some of the essential tools for computer Systems Analysts?
2.Why is Java considered one of the most popular programming languages for computer systems analysts?
3.How has Python gained popularity in recent years among computer systems analysts?
4.What makes C++ a widely used programming language for developing complex applications?
5.What is the main purpose of C# as a programming language developed by Microsoft?
6.How does the platform independence of Java benefit computer systems analysts?
7.In what ways can Python be useful for computer systems analysts in terms of application development?
Programming languages and software are essential tools for computer Systems Analysts. These professionals use a variety of programming languages to write code, develop applications, and troubleshoot technical issues.
The top programming languages and software that every computer systems analyst should have in their toolkit are:
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Java is one of the most popular programming languages computer systems analysts use. It is an object-oriented language with a simple syntax that allows analysts to write efficient code for various applications. Java is also platformindependent, meaning it can run on any operating system without any modifications.
Python has gained immense popularity recently due to its simplicity and versatility. It is a high-level language that is easy to learn and read, making it perfect for beginners in the field of computer systems analysis. Python's extensive library of modules makes it useful for data analysis, web development, machine learning, and more.
C++ is another widely used programming language among computer systems analysts. It offers high performance and low-level control over system resources, which makes it suitable for developing complex applications such as video games or operating systems.
C# is a powerful programming language developed by Microsoft specifically for .NET framework development. It has features similar to C++ but with simpler syntax.
After reading activities
1. Put the verbs into the correct forms.
1.Programming languages (to be) are essential tools for Systems Analysts.
2.The professional (to use) a variety of programming languages to write code and develop applications.
3.Java is one of (more) popular programming languages systems analysts use.
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