Choice based credit systems

Duration: 19 min

This video lesson is available to enrolled students.

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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, राज्य विशेष सामान्य ज्ञान / State-Specific 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, Git & Github, PHP
  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, Internet of Things
  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):
  26. Full Length Mock Test – General + Computer Science:
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

This educational video provides a detailed lecture on the Choice Based Credit System (CBCS) used in higher education. The instructor begins by defining CBCS as a system allowing students to select courses from core, soft skill, elective, or minor categories. The lecture explains that the system was introduced by the University Grants Commission (UGC) to offer flexibility and a student-centric learning platform. Key operational elements such as semesters, credit assignment, and credit transfer are discussed. The video further details the assessment methods, including comprehensive continuous assessment and a 10-point grading system. Finally, the instructor defines key terminology like academic year, credit point, grade point, and transcript to ensure clarity on the system's mechanics.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The video opens with a slide titled 'CHOICE BASED CREDIT SYSTEM - CBCS' displayed in both English and Hindi. The text on the screen defines the system: 'The choice-based credit system is the one in which the students have a choice to select from the given courses offered in the institute.' The slide lists course types including 'core, soft skill, elective or minor courses' and notes that 'all courses do not carry the same weight.' The instructor stands beside the slide, introducing the concept. The text also mentions that courses can include anything from the core to soft skills, emphasizing the variety available to students.

  2. 2:00 – 5:00 02:00-05:00

    The lecture progresses to the introduction and benefits of CBCS. The slide text states, 'Introduced by the University Grants Commission (UGC), the CBCS or Choice Based Credit System offers an effective learning platform for students by broadening the horizons of education.' The instructor points to the phrase 'student-centric course' on the screen, highlighting that the system allows flexibility. The text explains that students can choose 'interdisciplinary, intra-disciplinary and skill based courses' depending on their interests. The slide further mentions that subjects can be at a basic or advanced level, and instead of conventional marking, the system uses credits.

  3. 5:00 – 10:00 05:00-10:00

    The topic shifts to 'How Does It Work?' with a new slide outlining basic elements. The first element is 'Semesters,' described as assessment done semester-wise with '15-18 weeks of academic work which is equal to 90 teaching days.' The instructor points to this section. The next element is 'Credit system,' where 'Each course is assigned a certain credit.' The slide explains that when a student passes a course, they earn credits based on that course. The third element is 'Credit transfer,' which allows students who cannot cope with the study load to study fewer courses and earn fewer credits, compensating for this in the next semester.

  4. 10:00 – 15:00 10:00-15:00

    The lecture covers assessment and grading mechanisms. A slide titled 'Comprehensive continuous assessment' appears, stating, 'There is a continuous evaluation of the student not only by the teachers but also by the student himself.' The next section details 'Grading,' noting that 'UGC has introduced a 10-point grading system as follows.' The slide lists grades: 'O (Outstanding): 10', 'A+ (Excellent): 9', 'A (Very Good): 8', 'B+ (Good): 7', 'B (Above Average): 6', 'C (Average): 5', 'P (Passed): 4', 'F (Failed): 0', and 'Ab (Absent): 0'. The instructor points to the grading scale to emphasize the numerical weights.

  5. 15:00 – 18:38 15:00-18:38

    The final section defines key terms. The slide is titled 'Definitions of Key Words'. It defines 'Academic Year' as 'Two consecutive (one odd + one even) semesters constitute one academic year.' It defines 'Credit Point' as 'the product of grade point and number of credits for a course.' The instructor points to 'Credit Point' and 'Grade Point' on the screen. 'Grade Point' is defined as 'a numerical weight allotted to each letter grade on a 10-point'. The slide also defines 'CBSS' (Credit Based Semester System) and 'Letter Grade' as an index of performance denoted by letters O, A+, A, B+, B, C, P and F.

The video systematically breaks down the Choice Based Credit System (CBCS) from its foundational definition to its operational mechanics. It begins by establishing CBCS as a UGC-introduced, student-centric framework that offers flexibility through diverse course choices like core, elective, and skill-based modules. The lecture then details the structural elements, including semester durations, credit assignment, and transfer policies. Assessment is highlighted through continuous evaluation and a specific 10-point grading scale. The session concludes by clarifying essential terminology such as credit points, grade points, and academic years, ensuring students understand the quantitative and qualitative aspects of the system.

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