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 1. What is the primary purpose of formative assessment? a) To evaluate student learning at the end of a lesson b) To monitor student progress during a lesson c) To provide feedback to students d) To modify instruction based on student needs Answer: d) To modify instruction based on student needs 2. Which of the following is an example of a summative assessment? a) Quiz b) Test c) Project d) All of the above Answer: d) All of the above 3. What is the purpose of diagnostic assessment? a) To evaluate student learning at the end of a lesson b) To identify student strengths and weaknesses c) To provide feedback to students d) To modify instruction based on student needs Answer: b) To identify student strengths and weaknesses 4. Which of the following is a characteristic of predictive assessment? a) Evaluates student learning at the end of a lesson b) Identifies student strengths and weaknesses c) Predicts student future performance d) Provides feedback to students Answer: c) Predicts s...

 1. What is the primary focus of the National Education Policy (NEP)? a) To promote vocational education b) To improve teacher training programs c) To increase access to quality education d) To reduce the role of technology in education Answer: c) To increase access to quality education 2. Which of the following is a key feature of the NEP? a) Emphasis on rote learning b) Focus on vocational education c) Integration of technology in education d) Reduction in teacher training programs Answer: c) Integration of technology in education 3. What is the impact of COVID-19 on education? a) Increased demand for online learning b) Reduced focus on technology in education c) Decreased access to quality education d) Improved teacher training programs Answer: a) Increased demand for online learning 4. Which of the following is a benefit of online learning? a) Increased social interaction b) Improved access to quality education c) Reduced flexibility in learning d) Increased dependence on techn...

 1. What is the primary goal of classroom management? a) To create a positive and supportive environment for learning b) To handle behavioral issues and maintain discipline c) To use technology to enhance learning experiences d) To promote social learning Answer: a) To create a positive and supportive environment for learning 2. Which of the following strategies can help create a positive classroom environment? a) Establishing clear rules and consequences b) Encouraging student participation and engagement c) Using positive reinforcement and incentives d) All of the above Answer: d) All of the above 3. What is the most effective way to handle disruptions in the classroom? a) By ignoring the behavior b) By punishing the student c) By redirecting the student's attention d) By involving the student in the solution Answer: c) By redirecting the student's attention 4. Which of the following communication strategies is most effective in the classroom? a) Using complex vocabulary and ...

 

  Computer Science (2024-25)  CLASS XII Code No. 083 Unit 1: Computational Thinking and Programming – 2  ● Revision of Python topics covered in Class XI.  ● Functions: types of function (built-in functions, functions defined in module, user defined functions), creating user defined function, arguments and parameters, default parameters, positional parameters, function returning value(s), flow of execution, scope of a variable (global scope, local scope)  ● Exception Handling: Introduction, handling exceptions using try-except-finally blocks  ● Introduction to files, types of files (Text file, Binary file, CSV file), relative and absolute paths Text file: opening a text file, text file open modes (r, r+, w, w+, a, a+), closing a text file, opening a file using with clause, writing/appending data to a text file using write() and writelines(), reading from a text file using read(), readline() and readlines(), seek and tell methods, manipulation of data in a te...

 Computer Science (2024-25) CLASS XI Code No. 083 Unit 1: Computer Systems and Organisation ● Basic computer organisation: Introduction to Computer System, hardware, software, input device, output device, CPU, memory (primary, cache and secondary), units of memory (bit, byte, KB, MB, GB, TB, PB) ● Types of software: System software (Operating systems, system utilities, device drivers), programming tools and language translators (assembler, compiler, and interpreter), application software ● Operating System(OS): functions of the operating system, OS user interface ● Boolean logic: NOT, AND, OR, NAND, NOR, XOR, NOT, truth tables and De Morgan’s laws, Logic circuits ● Number System: Binary, Octal, Decimal and Hexadecimal number system;conversion between number systems ● Encoding Schemes: ASCII, ISCII, and Unicode (UTF8, UTF32) ● Introduction to Problem-solving: Steps for Problem-solving (Analyzing the problem, developing an algorithm, coding, testing, and debugging), rep...

Informatics Practices (2024-25)  CLASS XI Code No. 065 Unit 1: Introduction to Computer System  Introduction to computer and computing:  evolution of computing devices, components of a computer system and their interconnections, Input/output devices. Computer Memory: Units of memory, types of memory – primary and secondary, data deletion, its recovery and related security concerns. Software: purpose and types – system and application software, generic and specific purpose software. Unit 2: Introduction to Python Basics of Python programming, execution modes: - interactive and script mode, the structure of a program, indentation, identifiers, keywords, constants, variables, types of operator, precedence of operators, data types, mutable and immutable data types, statements, expression evaluation. comments, input and output statements, data type conversion, debugging. Control Statements: if-else, if-elif-else, while loop, for loop  Lists: list operations - creating, in...

 The Kendriya Vidyalaya Sangathan (KVS) PGT CS exam typically covers the following chapters and topics in Computer Science: 1. *Computer Science Basics*:     - Introduction to Computer Science     - History of Computing     - Basic Computer Terminology 2. *Programming Concepts*:     - Programming Languages (C, C++, Java, Python)     - Data Types     - Variables     - Control Structures     - Functions     - Object-Oriented Programming (OOPs) concepts 3. *Data Structures and Algorithms*:     - Arrays     - Linked Lists     - Stacks     - Queues     - Trees     - Graphs     - Sorting and Searching Algorithms 4. *Computer Systems*:     - Hardware Components (CPU, Memory, Input/Output Devices)     - Software Components (Operating System, Application Software)     - Computer Networks (LAN, WAN, Inter...

        Here's your first MCQ from Chapter 1 of the NCERT Computer Science textbook for 11th grade CBSE: 1. What is the definition of a computer? A) An electronic device for playing games B) A machine that can execute instructions and perform tasks C) A device used only for browsing the internet D) A electronic calculator Correct answer: B) A machine that can execute instructions and perform tasks Explanation: A computer is indeed a machine that can execute instructions and perform tasks, making it a versatile tool for various applications. 2. Which of the following is an example of a hardware component? A) Operating System B) Web Browser C) Keyboard D) Java Correct answer: C) Keyboard Explanation: A keyboard is an input device and a physical component of a computer system, making it a hardware component. 3. What is the term for a set of instructions that a computer can execute? A) Algorithm B) Program C) Software D) Data Correct answer: B) Program Explanation: A pro...

 The new syllabus for the KVS PGT CS Exam in 2024 includes the following topics : * Computer Systems and Organisation :* - Basic Computer Organisation - Types of software - Operating system (OS) - Boolean logic - Number system - Encoding schemes * Computational Thinking and Programming: * - Introduction to problem solving - Familiarization with the basics of Python programming - Knowledge of data types - Operators - Expressions, statement, type conversion & input/output - Errors - Flow of control - Conditional statements - Iterative statements - Strings - Lists - Tuples - Dictionary - Introduction to Python modules * Society, Law and Ethics: * - Digital Footprints - Digital society and Netizen - Data protection - Cyber-crime - Cyber safety - Safely accessing web sites - E-waste management - Indian Information Technology Act (IT Act) - Technology & Society * Computational Thinking and Programming – 2 :* - Functions - Introduction to files - Text file - Binary file - CSV file...

*KVS PGT Eligibility 2022-23: - Master's Degree:     - From a recognized university     - Minimum 50% marks - *Teaching Qualification*:     - B.Ed or equivalent degree     - From a recognized university - *Language Proficiency*:     - Ability to teach in both Hindi and English.  1. _B.E or B.Tech_:     - Computer Science/IT or any stream     - From a recognized University     - Minimum 50% marks 2. _Post Graduate Diploma_:     - Computer Science     - From a recognized university 3. _(link unavailable)_:     - Computer Science (CS)     - From a recognized university 4. _MCA_:     - From a recognized university 5. _(link unavailable) (CS)/BCA_:     - With Post Graduate Degree in any subject     - From a recognized university 6. _DOEACC Qualifications_:     - 'B' Level with Post Graduate degree in any subject     - '...

The KVS PGT CS exam is a highly competitive examination for recruitment to the post of Post Graduate Teacher (Computer Science) in Kendriya Vidyalayas. To crack this exam, thorough preparation is essential. This guide provides a comprehensive preparation strategy to help you succeed. With a well-structured preparation plan, dedication, and persistence, you can excel in the KVS PGT CS exam. Stay focused, and utilize this guide to achieve success. Understanding the Exam Pattern: The KVS PGT CS exam consists of two papers: Paper I (Computer Science) and Paper II (Pedagogy, General Knowledge, and Teaching Aptitude). Paper I focuses on technical expertise, while Paper II evaluates your teaching skills and general awareness. Eligibility Syllabus Preparation Strategy: - Thoroughly review the syllabus and exam pattern. - Develop a study plan, allocating time for each topic. - Focus on fundamental concepts, programming languages (Python), data structures, Database algorithms, computer networks ...

 Series Data Structure:- It is 1D data structure It stores homogeneous data It is value mutable It is size immutable It supports explicit indexing Series() can have two arguments which are data and index The arguments can be taken in any order It can be made with any datatype like scalar value, ndarray, python sequences(List,Tuple,String) Creating series object using scalar value Creating series object using scalar value with index Creating series object using scalar value without index Creating series object using List Creating series object using Tuple Creating series object using Numpy Array Creating series object using string Creating series object using multiple strings Creating series object using Dictionaries

Print Hello world! Add Two Numbers Generate Random Number Swap Two Variables Find Square Root  Program to check Prime Number

SYLLABUS Unit I: Introduction: Towards Intelligent Machines Well posed Problems, Example of Applications in diverse fields, Data Representation, Domain Knowledge for Productive use of Machine Learning, Diversity of Data: Structured / Unstructured, Forms of Learning, Machine Learning and Data Mining, Basic Linear Algebra in Machine Learning Techniques.   Unit II: Supervised Learning: Rationale and Basics: Learning from Observations, Bias and Why Learning Works: Computational Learning Theory, Occam's Razor Principle and Over fitting Avoidance Heuristic Search in inductive Learning, Estimating Generalization Errors, Metrics for assessing regression, Metris for assessing classification.  Unit III: Statistical Learning: Machine Learning and Inferential Statistical Analysis, Descriptive Statistics in learning techniques, Bayesian Reasoning: A probabilistic approach to inference, K-Nearest Neighbor Classifier. Discriminant functions and regression functions, Linear Regress...

JNTUK MTECH SYLLABUS (2019-20) JNTUK M.Tech R19 Course Structures of various specializations Computer Science Mechanical Engineering Civil Engineering Electrical and Electronics Engineering Electronics and Communication Engineering Syllabus Computer Science Syllabus

UNIT I: Social Network Analysis: Preliminaries and definitions, Erdos Number Project, Centrality measures, Balance and Homophily. UNIT II: Random graph models: Random graphs and alternative models, Models of network growth, Navigation in social Networks, Cohesive subgroups, Multidimensional Scaling, Structural equivalence, roles, and positions. UNIT III: Network topology and diffusion, Contagion in Networks, Complex contagion, Percolation and information, Navigation in Networks Revisited. UNIT IV: Small world experiments, small world models, origins of small world, Heavy tails, Small Diameter, Clustering of connectivity, The ErdosRenyi Model, Clustering Models. UNIT V: Network structure -Important vertices and page rank algorithm, towards rational dynamics in networks, basics of game theory, Coloring and consensus, biased voting, network formation games, network structure and equilibrium, behavioral experiments, Spatial and agent-based models.