IT101-REVIEW-MATERIALS.pdf

Slide 1 Enables global communication and collaboration Improves efficiency and productivity in Exploring Careers in the IT Industry:...

Slide 1 Enables global communication and collaboration Improves efficiency and productivity in Exploring Careers in the IT Industry: businesses Opportunities for the Digital Age Supports critical infrastructure and services Slide 5 Slide 2 Key Skills for IT Professionals Introduction to IT Careers Technical proficiency in relevant Information Technology (IT) is a rapidly technologies evolving field Problem-solving and analytical thinking Diverse career opportunities in various sectors Communication and teamwork High demand for skilled IT professionals Adaptability and willingness to learn Continuous learning and adaptation are key Project management and organization Slide 3 Slide 6 What is Information Technology? Popular IT Career Paths: Software Development IT involves the use of computers, software, and networks Role: Creating and maintaining software applications Focuses on storing, retrieving, transmitting, and manipulating data Skills: Programming languages, software design, debugging Encompasses hardware, software, and services Education: Computer Science degree or coding bootcamp Integral to modern business operations and daily life Career progression: Junior Developer → Senior Developer → Software Architect Slide 4 Slide 7 The Importance of IT in Today's World Popular IT Career Paths: Network Administration Drives innovation and economic growth Role: Managing and maintaining computer Popular IT Career Paths: Cloud Computing networks Skills: Network protocols, security, Role: Managing cloud infrastructure and troubleshooting services Education: IT degree or certifications (e.g., Skills: Cloud platforms (AWS, Azure, Google CCNA) Cloud), virtualization Career progression: Network Technician → Education: IT degree with cloud Network Administrator → Network Architect certifications Slide 8 Career progression: Cloud Support → Cloud Engineer → Cloud Architect Popular IT Career Paths: Cybersecurity Slide 11 Role: Protecting systems and data from Popular IT Career Paths: IT Project cyber threats Management Skills: Security protocols, ethical hacking, risk assessment Role: Overseeing IT projects from initiation Education: Cybersecurity degree or to completion specialized certifications Skills: Project planning, team leadership, Career progression: Security Analyst → risk management Security Engineer → Chief Information Education: IT background with project Security Officer management certifications (e.g., PMP) Slide 9 Career progression: Project Coordinator → Project Manager → Program Manager Popular IT Career Paths: Data Science and Slide 12 Analytics Emerging IT Career Opportunities Role: Extracting insights from large datasets Skills: Statistics, programming, data Artificial Intelligence and Machine Learning visualization Engineer Education: Data Science degree or related Internet of Things (IoT) Specialist field Blockchain Developer Career progression: Data Analyst → Data Scientist → Chief Data Officer Quantum Computing Researcher Slide 10 Virtual Reality/Augmented Reality Developer Slide 13 Build a professional network through events and online communities Contribute to open-source projects or IT Industry Trends personal tech blogs Slide 16 Remote work and distributed teams Emphasis on cybersecurity and data privacy Challenges in IT Careers Adoption of cloud technologies Integration of AI and machine learning Rapid technological changes requiring Focus on green IT and sustainability constant learning Slide 14 High-pressure work environments and tight deadlines Balancing technical skills with soft skills Education and Certifications Addressing diversity and inclusion in the tech industry Bachelor's degree in Computer Science, IT, Managing work-life balance in a 24/7 or related field connected world Coding bootcamps for rapid skill acquisition Slide 17 Industry certifications (e.g., CompTIA, Cisco, Microsoft) IT Career Salaries and Job Outlook Online courses and MOOCs for continuous learning Importance of hands-on experience and Generally higher than average salaries personal projects across industries Slide 15 Entry-level positions often start at competitive rates Experienced professionals can earn six- Building a Successful IT Career figure salaries Strong job growth projected in most IT fields Develop a strong foundation in core IT Opportunities for freelancing and concepts entrepreneurship Specialize in a specific area of interest Slide 18 Stay updated with the latest technologies and trends Internships and Entry-Level Opportunities Importance of internships for hands-on Embrace lifelong learning and adaptability experience for long-term success Participation in hackathons and coding Slide 21 competitions Contributing to open-source projects Questions and Resources Building a portfolio of personal projects Leveraging university career services and Encourage students to ask questions job fairs Provide links to relevant industry websites Slide 19 and job boards Recommend books and online courses for Global Opportunities in IT further learning Share contact information for career guidance IT skills are in demand worldwide Opportunities for remote work and international assignments Cultural awareness and language skills can be advantageous Understanding of global tech hubs (Silicon Valley, Bangalore, Tel Aviv, etc.) Compliance with international data regulations (e.g., GDPR) Slide 20 Conclusion: Preparing for Your IT Career Assess your interests and strengths within IT Develop a learning plan and set career goals Gain practical experience through projects and internships Build a professional network and seek mentorship Slide 1 Computer-Aided Design (CAD) and modeling Finite Element Analysis (FEA) Appreciation of Computing Across Disciplines Structural analysis and optimization Control systems and automation Slide 2 3D printing and rapid prototyping Slide 5 Introduction to Computing in Various Fields Computing in Medicine Computing has become integral to numerous disciplines Medical imaging and diagnostics Enhances efficiency, accuracy, and Electronic Health Records (EHR) innovation Telemedicine and remote patient monitoring Transforms traditional approaches in diverse sectors Drug discovery and development This presentation explores computing's Personalized medicine and genomics impact across fields Slide 6 Slide 3 Computing in Business Computing in Science Data analytics and business intelligence Data analysis and visualization Customer Relationship Management (CRM) Simulation of complex systems systems Bioinformatics and genomic research Supply chain optimization Climate modeling and weather prediction E-commerce platforms Particle physics and astronomical Cybersecurity and risk management calculations Slide 7 Slide 4 Computing in Finance Computing in Engineering High-frequency trading algorithms Risk assessment and portfolio management Fraud detection systems Drone technology for field surveying Blockchain and cryptocurrency technologies Yield prediction and optimization models Financial modeling and forecasting Slide 11 Slide 8 Computing in Environmental Science Computing in Education Ecosystem modeling and biodiversity mapping Learning Management Systems (LMS) Remote sensing and satellite imagery Adaptive learning platforms analysis Virtual and augmented reality in education Pollution monitoring and prediction Massive Open Online Courses (MOOCs) Conservation planning and resource Educational data mining and learning management analytics Climate change impact assessment Slide 9 Slide 12 Computing in Entertainment Computing in Linguistics Computer-generated imagery (CGI) in film Natural Language Processing (NLP) Video game development and graphics Machine translation systems Virtual reality experiences Speech recognition and synthesis Streaming platforms and recommendation Corpus linguistics and text analysis systems Computational lexicography and dictionary Digital audio production and music creation composition Slide 13 Slide 10 Computing in Psychology Computing in Agriculture Cognitive modeling and simulation Precision farming and crop monitoring Behavioral data analysis Automated irrigation systems Virtual reality therapy Livestock management and tracking Psychometric testing and assessment Digital preservation of cultural heritage Neuroimaging data processing Slide 17 Slide 14 Computing in Journalism Computing in Law Data-driven journalism and visualization Legal research and case management Automated content generation systems Social media analytics and trend detection E-discovery and document analysis Fact-checking algorithms Predictive coding for litigation Virtual and augmented reality storytelling Blockchain for smart contracts Slide 18 AI-assisted legal reasoning and decision support Computing in Sports Slide 15 Performance analysis and statistics Computing in Transportation Biomechanical modeling and simulation Video analysis and replay systems Traffic flow optimization Fantasy sports platforms Autonomous vehicle technology Sports betting algorithms and odds Fleet management and logistics calculation Intelligent transportation systems Slide 19 Navigation and GPS technologies Slide 16 Ethical Considerations Computing in Archaeology Data privacy and security concerns Algorithmic bias and fairness 3D scanning and modeling of artifacts Job displacement due to automation Geographic Information Systems (GIS) for Digital divide and accessibility issues site mapping Responsible AI development and Virtual reconstruction of historical sites deployment Data analysis for dating and provenance Slide 20 Future Trends in Computing Across Fields Quantum computing applications Edge computing and IoT integration Explainable AI for complex decision-making Human-AI collaboration in various disciplines Interdisciplinary approaches to problem- solving Slide 21 Conclusion Computing has revolutionized numerous fields Continues to drive innovation and efficiency Interdisciplinary collaboration is crucial Ethical considerations must guide development Exciting future prospects for computing in all disciplines Slide 1 Purpose: Performing addition and subtraction 1671: Gottfried Leibniz improves Pascal's A Brief Timeline and History of Computers: design From Abacus to AI Leibniz's calculator could multiply and divide Slide 5 Slide 2 19th Century: The Analytical Engine Introduction: What is a Computer? 1837: Charles Babbage designs the Definition: A programmable electronic Analytical Engine device that processes data Features: Memory, processor, and punch Key functions: Input, processing, storage, card input and output of information Significance: Considered the first general- Evolution: From mechanical calculators to purpose computer modern digital computers Ada Lovelace: First computer programmer Slide 3 Slide 6 Ancient Computing: The Abacus Early 20th Century: Electromechanical Computers Origin: Developed around 2400 BCE in Babylon 1936: Alan Turing proposes the Turing Purpose: Performing basic arithmetic machine concept operations 1937: George Stibitz builds the Complex Design: Beads or stones moved on rods or Number Calculator grooves 1941: Konrad Zuse creates the Z3, first Significance: Laid foundation for future programmable computer computational devices Slide 7 Slide 4 World War II Era: ENIAC 17th Century: Mechanical Calculators 1945: John Mauchly and J. Presper Eckert 1642: Blaise Pascal invents the Pascaline build ENIAC ENIAC: Electronic Numerical Integrator and 1975: Altair 8800, first personal computer kit Computer 1976: Apple I computer introduced by Steve Purpose: Calculate artillery firing tables for Jobs and Steve Wozniak the U.S. Army 1977: Commodore PET, TRS-80, and Apple Significance: First general-purpose II released electronic computer Slide 11 Slide 8 1980s: The PC Revolution 1950s: The Rise of Mainframes 1981: IBM PC launched, setting industry 1951: UNIVAC I, first commercial computer standard in the U.S. 1984: Apple Macintosh introduced with 1953: IBM enters the computer market graphical user interface (GUI) Characteristics: Large, expensive, used by 1985: Microsoft Windows 1.0 released governments and corporations Rapid growth in software development and Programming languages: FORTRAN (1957) home computing and COBOL (1959) developed Slide 12 Slide 9 1990s: The World Wide Web 1960s: Minicomputers and Time-sharing 1989: Tim Berners-Lee proposes the World 1960: DEC introduces PDP-1, first Wide Web commercial minicomputer 1993: Mosaic, first popular web browser, Time-sharing systems allow multiple users released to access a computer simultaneously 1995: Windows 95 launched with built-in 1969: ARPANET, precursor to the Internet, Internet support is created Dot-com boom and rapid Internet adoption Slide 10 Slide 13 1970s: Microprocessors and Personal 2000s: Mobile Computing and Social Media Computers 2001: Apple introduces iPod, revolutionizing 1971: Intel introduces the 4004, first portable music commercial microprocessor 2004: Facebook launched, marking the rise Alan Turing: Father of theoretical computer of social media science 2007: iPhone released, ushering in the Grace Hopper: Developed first compiler, smartphone era pioneered COBOL Cloud computing gains popularity Douglas Engelbart: Invented the computer mouse Slide 14 Vint Cerf and Bob Kahn: Developed TCP/IP protocols 2010s: Big Data and AI Renaissance Slide 17 Exponential growth in data generation and Impact of Computers on Society processing capabilities 2011: IBM Watson wins Jeopardy!, showcasing advanced AI Revolutionized communication and information access 2012: Deep learning breakthroughs in image recognition Transformed industries: finance, healthcare, entertainment Rise of virtual assistants: Siri, Alexa, and Google Assistant Enabled scientific breakthroughs and space exploration Slide 15 Raised concerns about privacy, security, and digital divide Present Day: Quantum Computing and Slide 18 Beyond Future Trends in Computing Quantum computers: Harnessing quantum mechanics for computation Edge computing: Processing data closer to Quantum supremacy and practical quantum the source computers 5G networks: Enabling faster, more reliable Neuromorphic computing: Brain-inspired connections architectures Continued advancements in AI and machine Augmented and virtual reality integration learning Ethical AI and responsible technology Slide 16 development Slide 19 Key Innovators in Computer History Challenges in Modern Computing Cybersecurity threats and data protection E-waste and environmental impact Balancing innovation with privacy concerns Addressing algorithmic bias and fairness in AI Slide 20 Conclusion: The Ongoing Computer Revolution Computers have evolved from simple calculators to AI-powered devices Continuous innovation drives technological progress Importance of understanding computer history to shape the future The next breakthrough could change everything - again