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عدد المساهمات : 18962 التقييم : 35392 تاريخ التسجيل : 01/07/2009 الدولة : مصر العمل : مدير منتدى هندسة الإنتاج والتصميم الميكانيكى
| موضوع: كتاب Academic English for Computer Science الأربعاء 03 يوليو 2024, 3:41 pm | |
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أخواني في الله أحضرت لكم كتاب Academic English for Computer Science An English for Specific and Academic Purposes Course for International students of Computer Science, Computer Engineering, Information and Communication Systems Student Book Edition Noni Rizopoulou
و المحتوى كما يلي :
Contents 1 Introduction to Computer Science Themes: Computer science, programmable devices, programmability, mechanical computer, electronic computer, modern computer, vacuum tubes, transistors, silicon, processing power, global communication systems Academic Vocabulary Skills: Common academic terms; pairs of synonyms and antonyms; academic adjectives Academic Note-taking Skills: Visual representation of lecture notes Academic Writing Skills: The purpose of academic writing, The structure of academic writing genres Academic Communication: The language of caution 2 Operations on Bits Themes: Boolean operations, truth table, logic gates, bit stream, byte, input/output devices, storage devices, nonstorage devices, magnetic disk, magnetic tape, compact disk (CD), DVD, bit map technique, vector technique, video, optical storage devices Academic Vocabulary Skills: Abbreviations and acronyms Academic Note-taking Skills: Finding key points, Effective notetaking Academic Writing Skills: Developing a critical approach, The basic structure of abstracts Academic Communication: Working in groups Critical thinking skills: Evaluating Internet sources3 Computer Architecture Themes: von Neumann model, stored-program concept, machine language, machine instruction, CPU, arithmetic/logic unit, control unit, registers, system buses, address bus, data bus, control bus, main memory, integrated circuits, the ‘chip’, RAM, ROM, cache memory, principle of locality, the machine cycle, RISC, CISC, pipelining, latency, throughput Academic Vocabulary Skills: How synonyms work Academic Note-taking Skills: Finding research papers Academic Writing Skills: Paragraph structure, Topic sentences Academic Communication: Conciseness: How to sound like an expert, Reporting verbs 4 Operating Systems Themes: Virtual environment, batch processing, multiprogramming, time sharing, interrupt, single-user operating system, multi-user operating system, distributed systems, real-time systems, embedded systems, memory manager, process manager, device manager, file manager, partitioning, paging, virtual memory, overlaying, state diagram, deadlock, starvation, user interface Academic Vocabulary Skills: Recognizing common expressions Academic Note-taking Skills: Note-taking from academic readings – The linear model Academic Writing Skills: Paraphrasing Academic Communication: Using examples to clarify a point 5 NetworksThemes: OSI model, ISO, physical layer, data-link layer, network layer, transport layer, session layer, presentation layer, application layer, LAN, MAN, WAN, ring topology, bus topology, CSMA/CD, star topology, hub, switch, repeater, bridge, router, gateway, ISP, TCP/IP, electronic mail, SMTP, FTP, TELNET, www, hypertext, hyperlinks, HTTP Academic Vocabulary Skills: Time words Academic Note-taking Skills: Adding information to sources Academic Writing Skills: The effective summary Academic Communication: Brainstorming 6 Algorithms Themes: Calculation, data processing, automated reasoning, intractable problems, nonterminating processes, level of detail, level of understanding, problem-solving, systems analyst, systems designer, heuristics, intuitive judgment, constructs, sequence, decision, repetition, flowchart, pseudocode, verification process, formal logic, specifications, problem domain Academic Vocabulary Skills: Talking numbers Academic Note-taking Skills: Double-entry responses Academic Writing Skills: Cause and effect Academic Communication: Visual representation of data 7 Programming Languages Themes: Machine language, assembly languages, high-level languages, text editor, source file, compiler, preprocessor, commands, translator, subroutines, linker, loader, procedural paradigm, declarative paradigm, deduction, functional paradigm,object-oriented paradigm, objects, associated operations, classes, instances, local variables, global variables Academic Vocabulary Skills: Verbs of reference Academic Reading Skills: Introductions Academic Writing Skills: Cohesion Academic note-taking skills: Triple-entry response 8 Software Engineering Themes: Software lifecycle, development phase, analysis, user needs, requirements, specifications, design phase, modules, user interface, implementation phase, bottom- up approach, top-down approach, validation testing, defect testing, glass-box testing, black-box testing, documentation, waterfall model, incremental model, prototyping, open-source, extreme programming, modularity, cohesion, coupling Academic Note-taking Skills: Argument mapping Academic Writing Skills: Definitions, Citations and references Academic Communication: Response questions 9 Data Organization Themes: Abstract tools, array, data values, indexing, subscripts, one-dimensional arrays, multi- dimensional arrays, matrices, list, stack, LIFO, queue, FIFO, tree structure, node, depth, ancestor, descendant, parent, siblings, data integration, schema, subschema, application layer, database management layer, DBMS, RDBMS, relations, tuple, attribute, instances, base relations, derived relations, domain Academic Note-taking Skills: Thinking about titles, Venn diagram Academic Writing Skills: Making comparisons, Types of endingsAcademic Communication: Sentence starter feedback, Metaphors and analogies in computer science 10 Machine Learning Themes: Hidden structures, training data, pattern recognition, inference, models, hypothesis, feature extraction, feature selection, supervised learning, classification, regression, dependent variable, predictors, semi-supervised learning, unsupervised learning, problem space, reinforcement learning, trial and error, rewards, punishments, cluster analysis, knowledge discovery, deep learning, neural networks, knowledge-based engines, inference engines Academic Note-taking Skills: Asking for feedback Academic Writing Skills: Argument and discussion Academic Communication: Oral presentation skills Glossary Supplements Bibliography
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