JNTUK B.Tech R20 1-1 Sem Communicative English Material Download

 JNTUK B.Tech 1-1 Sem Communicative English Material is now available, is now available. The candidates who are looking for good material can download here.

Unit 1:
Lesson-1: A Drawer full of happiness from “Infotech English”, Maruthi Publications
Lesson-2: Deliverance by Premchand from “The Individual Society”,Pearson Publications. (Non-detailed)
Listening: Listening to short audio texts and identifying the topic. Listening to prose, prose and conversation.
Speaking: Asking and answering general questions on familiar topics such as home, family, work, studies and interests. Self introductions and introducing others.
Reading: Skimming text to get the main idea. Scanning to look for specific pieces of information.

Reading for Writing: Paragraph writing (specific topics) using suitable cohesive devices; linkers, sign posts and transition signals; mechanics of writing - punctuation, capital letters.
Vocabulary: Technical vocabulary from across technical branches (20) GRE Vocabulary (20) (Antonyms and Synonyms, Word applications) Verbal reasoning and sequencing of words.
Grammar: Content words and function words; word forms: verbs, nouns, adjectives and adverbs; nouns: countables and uncountables; singular and plural basic sentence structures; simple question form - wh-questions; word order in sentences.
Pronunciation: Vowels, Consonants, Plural markers and their realizations.

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Unit 2:
Lesson-1: Nehru’s letter to his daughter Indira on her birthday from “Infotech English”, Maruthi Publications
Lesson-2: Bosom Friend by Hira Bansode from “The Individual Society”, Pearson Publications.(Non-detailed)
Listening: Answering a series of questions about main idea and supporting ideas after listening to audio texts, both in speaking and writing.
Speaking: Discussion in pairs/ small groups on specific topics followed by short structured talks. Functional English: Greetings and leave takings.

Reading: Identifying sequence of ideas; recognizing verbal techniques that help to link the ideas in a paragraph together.
Reading for Writing: Summarizing - identifying main idea/s and rephrasing what is read; avoiding redundancies and repetitions.
Vocabulary: Technical vocabulary from across technical branches (20 words). GRE Vocabulary Analogies (20 words) (Antonyms and Synonyms, Word applications)
Grammar: Use of articles and zero article; prepositions.
Pronunciation: Past tense markers, word stress-di-syllabic words

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Unit 3:
Lesson-1: Stephen Hawking-Positivity ‘Benchmark’ from “Infotech English”, Maruthi Publications
Lesson-2: Shakespeare’s Sister by Virginia Woolf from “The Individual Society”, Pearson Publications.(Non-detailed)
Listening:Listening for global comprehension and summarizing what is listened to, both in speaking and writing.
Speaking: Discussing specific topics in pairs or small groups and reporting what is discussed. Functional English: Complaining and Apologizing. 

Reading: Reading a text in detail by making basic inferences - recognizing and interpreting specific context clues; strategies to use text clues for comprehension.Critical reading.
Reading for Writing: Summarizing - identifying main idea/s and rephrasing what is read; avoiding redundancies and repetitions. Letter writing-types, format and principles of letter writing.E-mail etiquette, Writing CV’s.
Vocabulary: Technical vocabulary from across technical branches (20 words). GRE Vocabulary (20 words) (Antonyms and Synonyms, Word applications) Association, sequencing of words
Grammar: Verbs - tenses; subject-verb agreement; direct and indirect speech, reporting verbs for academic purposes.
Pronunciation: word stress-poly-syllabic words

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Unit 4:
Lesson-1: Liking a Tree, Unbowed: Wangari Maathai-biography from “Infotech English”, Maruthi Publications
Lesson-2: Telephone Conversation-Wole Soyinka from “The Individual Society”, Pearson Publications.(Non-detailed)
Listening: Making predictions while listening to conversations/ transactional dialogues without video (only audio); listening to audio-visual texts.
Speaking: Role plays for practice of conversational English in academic contexts (formal and informal) - asking for and giving information/directions.Functional English: Permissions, Requesting, Inviting.
Reading: Studying the use of graphic elements in texts to convey information, reveal trends/patterns/relationships, communicative process or display complicated data.
Reading for Writing: Information transfer; describe, compare, contrast, identify significance/trends based on information provided in figures/charts/graphs/tables.Writing SOP, writing for media.
Vocabulary: Technical vocabulary from across technical branches (20 words) GRE Vocabulary (20 words) (Antonyms and Synonyms, Word applications) Cloze Encounters.
Grammar: Quantifying expressions - adjectives and adverbs; comparing and contrasting; degrees of comparison; use of antonyms
Pronunciation: Contrastive Stress 

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Unit 5:
Lesson-1: Stay Hungry-Stay foolish from “Infotech English”, Maruthi Publications
Lesson-2: Still I Rise by Maya Angelou from “The Individual Society”, Pearson Publications.(Non-detailed)
Listening: Identifying key terms, understanding concepts and interpreting the concepts both in speaking and writing.
Speaking: Formal oral presentations on topics from academic contexts - without the use of PPT slides. Functional English: Suggesting/Opinion giving.
Reading: Reading for comprehension. RAP StrategyIntensive reading and Extensive reading techniques.
Reading for Writing: Writing academic proposals- writing research articles: format and style.
Vocabulary: Technical vocabulary from across technical branches (20 words) GRE Vocabulary (20 words) (Antonyms and Synonyms, Word applications) Coherence, matching emotions.
Grammar: Editing short texts – identifying and correcting common errors in grammar and usage (articles, prepositions, tenses, subject verb agreement)
Pronunciation: Stress in compound words

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JNTUK B.Tech 4-1(R19) Machine Learning Material Download

 JNTUK B.Tech 4-1(R19) Machine Learning Material Download: JNTU Kakinda B.Tech R19 Regulation 4th Year 1st Semester Machine Learning Syllabus and Material is now available for download. The candidates who are looking for JNTUK B.Tech R19 4-1 Materials can download Here

UNIT I

Introduction: Definition of learning systems, Goals and applications of machine learning, Aspects of developing a learning system: training data, concept representation, function approximation.

Inductive Classification: The concept learning task, Concept learning as search through a hypothesis space, General-to-specific ordering of hypotheses, Finding maximally specific hypotheses, Version spaces and the candidate elimination algorithm, Learning conjunctive concepts, The importance of inductive bias.

 

UNIT-I Material Download Here

 

UNIT II
Decision Tree Learning: Representing concepts as decision trees, Recursive induction of decision trees, Picking the best splitting attribute: entropy and information gain, Searching for simple trees and computational complexity, Occam's razor, Overfitting, noisy data, and pruning.

Experimental Evaluation of Learning Algorithms: Measuring the accuracy of learned hypotheses. Comparing learning algorithms: cross-validation, learning curves, and statistical hypothesis testing. 

UNIT-II Material Download Here

 

UNIT III
Computational Learning Theory: Models of learnability: learning in the limit; probably approximately correct (PAC) learning. Sample complexity for infinite hypothesis spaces, Vapnik-Chervonenkis dimension.
Rule Learning: Propositional and First-Order, Translating decision trees into rules, Heuristic rule induction using separate and conquer and information gain, First-order Horn-clause induction (Inductive Logic Programming) and Foil, Learning recursive rules, Inverse resolution, Golem, and Progol.

 

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UNIT IV
Artificial Neural Networks: Neurons and biological motivation, Linear threshold units. Perceptrons: representational limitation and gradient descent training, Multilayer networks and backpropagation, Hidden layers and constructing intermediate, distributed representations. Overfitting, learning network structure, recurrent networks.

Support Vector Machines: Maximum margin linear separators. Quadractic programming solution to finding maximum margin separators. Kernels for learning non-linear functions

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UNIT V
Bayesian Learning: Probability theory and Bayes rule. Naive Bayes learning algorithm. Parameter smoothing. Generative vs. discriminative training. Logisitic regression. Bayes nets and Markov nets for representing dependencies.
Instance-Based Learning: Constructing explicit generalizations versus comparing to past specific examples. k-Nearest-neighbor algorithm. Case-based learning

 

UNIT-V Material Download Here

 

E-Text Books Download From below

 

1) T.M. Mitchell, “Machine Learning”, McGraw-Hill, 1997.

2) Machine Learning, Saikat Dutt, Subramanian Chandramouli, Amit Kumar Das, Pearson, 2019.

3) Ethern Alpaydin, “Introduction to Machine Learning”, MIT Press, 2004.

4) Stephen Marsland, “Machine Learning -An Algorithmic Perspective”, Second Edition, Chapman and Hall/CRC Machine Learning and Pattern Recognition Series, 2014.
 

 

 

Operating System Book by Galvin 9th Edition Solutions

We provide solutions to the Practice Exercises of the Ninth Edition of Operating System Concepts , by Silberschatz, Galvin and Gagne. These practice exercises are different from the exercises provided in the text. (Solutions to the exercises in the text are available only to instructors.) Students are encouraged to solve the practice exercises on their own, and later use the solutions to check their own solutions.

The material below are copyright by Silberschatz, Galvin, and Gagne, 2012. Use of the material is authorized for personal use, and for use in conjunction with a course for which Operating System Concepts is the prescribed text. Any use that differs from the above, and any for profit sale of the maual (in any form) requires the consent of the copyright owners; contact Avi Silberschatz (avi@cs.yale.edu) to obtain the copyright owners consent. 

Chapter	Exercises	Last Updated
Part 1: Overview
1. Introduction	pdf	Oct 3, 2012
2. Operating-System Structures	pdf	Oct 3, 2012
Part 2: Process Management
3. Processes	pdf	Jan 24, 2014
4. Threads	pdf	Oct 3, 2012
5. Process Synchronization	pdf	Oct 3, 2012
6. CPU Scheduling	pdf	Oct 3, 2012
7. Deadlocks	pdf	Oct 3, 2012
Part 3: Memory Management
8. Memory Management	pdf	Oct 3, 2012
9. Virtual Memory	pdf	Oct 3, 2012
Part 4: Storage Management
10. Mass-Storage Structure	pdf	Oct 3, 2012
11. File-System Interface	pdf	Oct 3, 2012
12. File-System Implementation	pdf	Oct 3, 2012
13. I/O Systems	pdf	Oct 3, 2012
Part 5: Protection and Security
14. Protection	pdf	Oct 3, 2012
15. Security	pdf	Oct 3, 2012
Part 6: Advanced Topics
16. Virtual Machines	pdf	Oct 3, 2012
17. Distributed Systems	pdf	Oct 3, 2012
Part 7: Case Studies
18. The Linux System	pdf	Oct 3, 2012
19. Windows 7	pdf	Oct 3, 2012
20.Historical Perspective	pdf	Oct 3, 2012