Data Privacy part 2

Duration: 8 min

This video lesson is available to enrolled students.

Return to /learn/BIHAR-STET-COMPUTER-SCIENCE-COMPLETE-COURSE/unit-14-e-commerce/cyber-safety-and-security/data-privacy-and-data-security/asset-data-privacy-part-2 after enrolling

Inside: a video lesson and guided study material.

Module outline

  1. About the course: About the Course
  2. Mathematical Aptitude: संख्या पद्धति / Number System, महत्तम समापवर्तक और लघुत्तम समापवर्त्य / HCF and LCM, Divisibility Rules, प्रतिशत / Percentage, अनुपात और समानुपात / Ratio and Proportion, औसत / Average, लाभ, हानि और बट्टा / Profit, Loss and Discount, समय और कार्य / Time and Work, घन क्षेत्रमिति / Solid Mensuration, साधारण और चक्रवृद्धि ब्याज / Simple and Compound Interest, समय, चाल और दूरी / Time, Speed and Distance, Age Problems, मिश्रण और एलिगेशन / Mixture and Alligation, Algebra, सरलीकरण, घातांक और करणी / Simplification, Indices and Surds, Pipe and Cistern, Trigonometry, Statistics, आँकड़ा निर्वचन / Data Interpretation, Arithmetic, समुच्चय, संबंध, फलन और विविक्त गणित / Sets, Relations, Functions and Discrete Mathematics, संख्या पद्धति और संख्या सिद्धांत / Number Systems and Number Theory, निर्देशांक ज्यामिति, सदिश और त्रिविमीय ज्यामिति / Coordinate Geometry, Vectors and 3D Geometry, बहुपद, समीकरण और सम्मिश्र संख्याएँ / Polynomials, Equations and Complex Numbers
  3. Logical Reasoning: श्रेणी / Series, कूट लेखन एवं कूट वाचन / Coding-Decoding, सादृश्यता एवं वर्गीकरण / Analogy and Classification, रक्त संबंध / Blood Relations, दिशा एवं दूरी / Direction and Distance, क्रम एवं रैंकिंग / Order and Ranking, अशाब्दिक तर्क / Non-Verbal Reasoning, बैठक व्यवस्था एवं पहेलियाँ / Seating Arrangement and Puzzles, Syllogisms, वेन आरेख, न्याय वाक्य एवं असमानता / Venn Diagrams, Syllogism and Inequalities, गणितीय संक्रियाएँ एवं लुप्त संख्या / Mathematical Operations and Missing Numbers, वर्णमाला एवं संख्या परीक्षण / Alphabet and Number Test, कथन आधारित तार्किक विवेचन / Statement-Based Reasoning, Analytical Reasoning (Counting Figures Reasoning), घन, पासा एवं आकृतियों की गिनती / Cubes, Dice and Figure Counting, कैलेंडर एवं घड़ी / Calendar and Clock, Clock
  4. General Knowledge: वैज्ञानिक उपलब्धियाँ और अनुसंधान / Scientific Achievements and Research, Chemistry, Biology, History, Geography, Polity, Indian Economy, समसामयिकी / Current Affairs, Static General Knowledge
  5. Art of Teaching: शिक्षण-अधिगम प्रक्रिया एवं कक्षा प्रबंधन / Teaching-Learning Process and Classroom Management, Learners & Learning Process, Factors Affecting Teaching, शिक्षण विधियाँ एवं उपागम / Teaching Methods and Approaches, सूक्ष्म शिक्षण एवं कक्षा संप्रेषण / Microteaching and Classroom Communication, शिक्षण सहायक सामग्री एवं शैक्षिक तकनीकी / Teaching Aids and Educational Technology, आकलन एवं मूल्यांकन / Assessment and Evaluation, शिक्षक: गुण, व्यावसायिक नैतिकता एवं विकास / Teacher: Qualities, Professional Ethics and Development, शैक्षिक नीतियाँ, अधिनियम एवं प्रशासन / Educational Policies, Acts and Administration, पाठ्यचर्या, कला एवं सह-शैक्षिक क्षेत्र / Curriculum, Arts and Co-curricular Areas, निर्देशन एवं परामर्श / Guidance and Counselling, दिव्यांग बच्चों की शिक्षा / Education of Children with Disabilities, Micro-Teaching & Teaching Skills, पाठ योजना / Lesson Planning
  6. Environmental Science: Environment
  7. Unit 1 | Digital Electronics: Digital Systems & Boolean Basics, Logic Gates & Hardware, Boolean Expression, Boolean Minimization, Combinational Circuit, Sequential Circuits, Number System, Number Representation
  8. Unit 2 | COA: Basics of COA, Floating Point Rep, Cache Memory Organization, Input Output Organisation, Instr Formats & Modes, Control Unit Design, Register Transfer and Microoperations, Programming the Basic Computer
  9. Unit 3 | C Programming: C Fundamentals, Control Flow, Functions, Arrays & Pointers, Storage Classes, Structures & Enums, DMA, Macros, Scoping & File Handling
  10. Unit 3 | Data Structures: Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing
  11. Unit 4 | Algorithms: Algorithm Analysis, Time Complexity Analysis, Sorting Algorithms, Dynamic Programming, Minimum Spanning Trees, Shortest Path Algos, Advanced Algorithms
  12. Unit 5 | Operating System: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Threads & Process Creation, Deadlock, Memory Management, Virtual Memory, Disc Scheduling, File Management
  13. Unit 6 | Database Management System: Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Decomposition Properties & 4NF, File Organization & Indexing, Relational Algebra, SQL, Transaction Management, Concurrency Control
  14. Unit 7 | Computer Networks: Introduction to CN, Data Communication, DLL: Access Control, DLL: Flow Control, DLL: Error Control, DLL: Framing, Data Link Layer - Ethernet, Net Layer: IPv4 & Proto, Net Layer: IP Addressing, Net Layer:Routing Protocol, Transport Layer Services, TL: Congestion & UDP, Application Layer
  15. Unit 8 | Software Engineering: Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management
  16. Unit 9 | Object Oriented Programming: OOPS with C++
  17. Unit 10 | Web Development: HTML Basics, CSS, JavaScript-Basics, XML, Node.js
  18. Unit 11 | Theory Of Computation: Introduction to TOC, Deterministic FA (DFA), Non-Deterministic FA, Regular Expressions, Grammar, Regular Language Properties, Moore & Mealy Machines, Pushdown Automata & CFG, Turing Machines
  19. Unit 12 | IoT: Emerging Tech Trends, Cloud Computing, कंप्यूटर नेटवर्क / Computer Networks
  20. Unit 13 | Artificial Intelligence: Approaches to AI, Search Algorithms, Game Playing, Knowledge Representation, Natural Language Processing, Artificial Neural Networks, Genetic Algorithms
  21. Unit 14 | E-Commerce: Electronic Data Interchange and E-Commerce, Role of Internet and Web Services, Security in Mobile and Wireless Computing, Physical Security and Cryptography Basics, Cyber Safety and Security
  22. Unit 15 | Multimedia: Multimedia
  23. Unit 16 | Python: Introduction to Python, Tokens, Variables, Data Types, I/O, Operators & Expressions, Control Flow & Looping, Collections & Strings, Functions & Modules, File Handling & Data Analysis, DSA using Python
  24. Full Length Mock Tests — General Paper:
  25. Full Length Mock Tests — Computer Science (Paper II):
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

The lecture provides a comprehensive guide to data privacy, covering individual behaviors, legal frameworks, and technical tools. It begins with personal actions like mindful sharing and password management, moves to the role of government regulations and organizational ethics, and concludes with technical solutions like VPNs and encryption. The instructor uses highlighting and diagrams to emphasize key concepts such as phishing, public Wi-Fi risks, and the right to access or erase personal data.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The instructor begins by presenting the slide titled 'How can you protect your data privacy?' She highlights the first bullet point, 'Be mindful of what you share online,' and explains the importance of thinking twice before posting personal information. She then moves to the second point, highlighting 'Adjust your privacy settings,' and notes that every website and app has settings to control who sees information and how it is used. The third point, 'Use strong passwords and keep them secret,' is highlighted, with the instructor advising students not to share passwords with anyone. This section establishes the foundational personal habits required for digital safety, emphasizing that users must take responsibility for their own data.

  2. 2:00 – 5:00 02:00-05:00

    The lecture progresses to security threats and legal frameworks. The instructor highlights 'Beware of phishing scams,' writing 'unknown link' and 'suspicious' on the screen to emphasize avoiding suspicious emails. She highlights 'Be cautious about using public Wi-Fi,' warning against sensitive activities like online banking. The focus then shifts to 'Learn about your rights,' highlighting the right to 'know what data is collected about you.' She discusses 'Stronger Regulations,' highlighting 'robust data protection laws' and standards for 'data collection, use, and storage.' A significant portion of this window is dedicated to drawing a flowchart: 'Personal' -> 'Government' -> 'Organization.' She annotates the 'Government' box with 'Policy,' 'Rules,' and 'Regulation,' and the 'Organization' box with 'Ethical,' 'Data collection,' 'Transparency,' 'Consent,' and 'Strong security measures.' She also writes 'Box' next to the data collection text. This visual aid illustrates the flow of responsibility from the individual to the state and finally to the private sector.

  3. 5:00 – 7:56 05:00-07:56

    The final section covers technical tools and revisits legal rights. The slide changes to 'How to Protect Personal Data and Stay Safe Online.' The instructor highlights 'VPNs (Virtual Private Networks) hide your location and browsing activity' and draws a diagram of a tunnel between two points, labeling it 'IP hide' and 'Vim' (likely representing a secure connection). She also highlights 'Encrypted messaging apps keep your chats private and secure.' She scrolls back up to review 'Stronger Regulations,' highlighting the right to 'access, rectify, and erase their personal data.' Finally, she highlights 'Ethical Practices,' emphasizing that organizations must be transparent about data collection and obtain informed consent. This section ties together technical solutions with the ethical and legal obligations discussed earlier, providing a holistic view of data protection. The instructor ensures students understand that while tools help, ethical practices and regulations are equally crucial for maintaining privacy in the digital age.

The video systematically outlines data privacy protection, starting with individual actions like managing privacy settings and avoiding phishing, moving to the role of government regulations and organizational ethics, and concluding with technical tools like VPNs and encryption. It emphasizes that privacy is a shared responsibility involving personal vigilance, legal oversight, and ethical business practices. The instructor uses visual aids like flowcharts and diagrams to clarify complex relationships between individuals, governments, and organizations in the context of data protection.

Loading lesson…