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      15 advanced software engineer skills for your resume and career

      1. Java

      Java is a high-level, class-based, object-oriented programming language. Advanced software engineers use Java in various ways, such as developing web user interfaces, creating separate Java processes for launching rule engines, and integrating software with other programs. They also use Java to implement business logic, parse and serialize XML, and develop utility tools to communicate with other languages like Matlab.

      Here's how advanced software engineers use java:
      • Worked on Java interaction with turbine Performance measuring application.
      • Developed and presided over a web user interface using Java Applets, Java RMI & CGI.

      2. Python

      Python is a high-level programming language. Advanced software engineers use python in various ways. They develop scripts for automation, implement test scripts to verify system software, and manage feature development for workload planning. They also use python for vulnerability remediation and developing serial communication programs to automate test procedures.

      Here's how advanced software engineers use python:
      • Developed python scripts to provide seamless automation between multiple operating systems and tested them to minimize scripts related failures during testing.
      • Implemented software test scripts in Python to verify system software against Software Requirements Specification as specified in Software Test Description.

      3. Linux

      Linux is an open-source operating system. Advanced software engineers use Linux to deploy and test applications on various platforms, design embedded systems, and develop library routines for data and communications. They also use Linux to automate reports and reconciliations, boosting productivity.

      Here's how advanced software engineers use linux:
      • Deployed and tested the application in Tomcat, Weblogic and Websphere application servers on Windows, Linux and Solaris platforms.
      • Developed and maintained an ISP-class Linux server that delivered nationwide personalized television electronic program guide data to browser-equipped TVs.

      4. C

      C is a general-purpose programming language. Advanced software engineers use C to develop and maintain software, create embedded software, and develop real-time software for remotely operated equipment. As Dr. Jonathan Denning, Associate Professor and Department Co-chair at Taylor University, puts it, "The important skill to hone is in communicating. If you know how to talk with people and to understand their problems, then you will be able to find a solution that is good for them."

      Here's how advanced software engineers use c:
      • Develop and maintain software (approximately 80 programs) for testers /servers in C, C++, and Pascal.
      • Developed embedded PowerPC 565 software in C for a Trimble GPS receiver.

      5. C++

      C++ is a programming language. Advanced software engineers use C++ to create automated processes, develop tools, and enhance existing systems. They also use it to develop games and online software. For example, they might use C++ to generate source code from Action Script or develop a spatial data server for a geographic information system.

      Here's how advanced software engineers use c++:
      • Created an automated process for generating c++ source code from Action Script to facilitate a UML based modeling object design process.
      • Developed PLSXML tool using c++ and OOPS concepts which retrieves the PLSXML commands from the printer to the end user.

      6. C Net

      C Net is a technology standard for developing network applications. Advanced software engineers use C Net to implement network-based applications. For example, they might use it to create a system for wireless security protocols or a network management security logging interface. They also use it to integrate operating systems and software into a network.

      Here's how advanced software engineers use c net:
      • Implemented in Java EE Standard environment based application for Wireless Security Protocols and providing domain specific network.
      • Analyzed basic structure of Mobile system and implemented a basic network of mobile Communication.

      7. Code Reviews

      Code reviews are the process of thoroughly checking computer code for mistakes. Advanced software engineers use code reviews to validate their work and ensure it meets quality standards. They also use this process to improve performance and catch potential issues early on. For example, they participate in peer code reviews, checking each other's work for reliability and consistency. They also use code reviews as a learning tool, recommending architectural enhancements to improve performance.

      Here's how advanced software engineers use code reviews:
      • Involved in Code reviews and UT reviews.
      • Code Reviews, code submission to Perforce after validating dev regression suite on win/unix platforms. 

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      Lesson 4

      Advanced Software Skills

      I. READING COMPREHENSION

      a. Read the passage carefully, and then answer the following questions

      Data Visualization

      Data visualization is the practice of presenting data in graphical formats, making complex information easier to understand. By transforming raw data into visual representations like charts and graphs, users can quickly identify trends, patterns, and outliers, leading to better decision-making.

      Tools such as Tableau and Microsoft Power BI have revolutionized data visualization. These platforms allow users to create interactive dashboards and reports that connect to various data sources, enabling real-time data access. They support a range of visual formatsΓÇöbar charts, line graphs, pie charts, and heat mapsΓÇöhelping organizations convey their messages effectively.

      Understanding basic design principles is crucial for impactful visualizations. Clear labeling helps viewers understand data quickly, while appropriate color schemes highlight key information and indicate trends. Logical layouts guide viewers through the data, enhancing comprehension. Adhering to these principles ensures visualizations are both aesthetically pleasing and informative.

      Additionally, storytelling in data visualization enriches engagement. By framing data within narratives, organizations can make information resonate on a personal level. For example, presenting sales data alongside customer feedback provides deeper insights into market trends.

      Ultimately, data visualization transforms complex data into actionable insights, facilitating discussions and informed decisions. As data-driven decision-making becomes increasingly important, mastering data visualization skills will be vital for professionals across various fields.

      (Source: Few, S. (2012). Show Me the Numbers: Designing Tables and Graphs to Enlighten. Analytics Press.)

      b. Answer the following questions briefly.

      1. How does data visualization help in making complex information more understandable?

      2. What are some common types of visual representations used in data visualization, and when might you use each?

      3. Describe a situation where data visualization could significantly impact decision-making.

      4. How do tools like Tableau and Microsoft Power BI enhance the data visualization process?

      5. What design principles do you think are most important for creating effective data visualizations?

      6. Can you explain how storytelling can improve the effectiveness of data visualization?

      7. How can color schemes influence the interpretation of data in visualizations?

      8. In your opinion, what challenges might arise when creating a data visualization?

      9. How do you think data visualization will evolve in the future?

      10. What skills do you believe are essential for someone working in data visualization?

      c. Decide whether the following statements are True, False, or Not Clear (if the information isnΓÇÖt provided in the text).

      1. Data visualization only involves creating bar charts.

      2. Interactive dashboards can provide real-time data access.

      3. Clear labeling is not important in data visualization.

      4. Storytelling has no role in data visualization.

      5. Data visualization cannot help in identifying trends.

      6. Data visualization is primarily used in marketing and has no applications in other fields.

      7. Effective data visualizations can lead to better decision-making in organizations.

      8. Color schemes used in visualizations can affect how viewers interpret the data.

      9. Data visualizations do not need to follow any design principles.

      10. Tools like Microsoft Power BI are designed only for advanced users with programming skills.