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Academic English for Computer Science
40,00 € Original price was: 40,00 €.36,00 €Current price is: 36,00 €.
In Stock
Λεπτομέρειες
Σελίδες |
304 |
---|---|
ISBN13 |
978-618-5242-64-0 |
Έτος Έκδοσης |
2019 |
Διαστάσεις |
21×29 cm |
Εσωτερικό Βιβλίου |
Έγχρωμο |
Γλώσσα |
English |
Weight | 0,9 kg |
Κωδικός Ευδόξου |
86195605 |
In Stock
Το βιβλίο Ακαδημαϊκά Αγγλικά για Επιστήμες Πληροφορικής (Academic English for Computer Science) είναι ειδικά σχεδιασμένο για φοιτητές που σχεδιάζουν να ξεκινήσουν ένα πανεπιστημιακό πρόγραμμα στην Επιστήμη της Πληροφορικής, στο οποίο το μέσο διδασκαλίας είναι η αγγλική γλώσσα. Στόχος του βιβλίου είναι να αναπτύξει τις γνώσεις σας σχετικά με τους ακαδημαϊκούς και επιστημονικούς κανόνες και να βελτιώσει τις δεξιότητές σας στους ακόλουθους τομείς:
- την ανάγνωση και κατανόηση άρθρων Πληροφορικής
- την κατανόηση διαλέξεων Επιστήμης Πληροφορικής και του τρόπου καταγραφής σημειώσεων των κυρίως θεμάτων
- τη συγγραφή για διαφορετικά ακροατήρια και σκοπούς μέσα στον ίδιο κλάδο
- την αποτελεσματική συμμετοχή σας σε ακαδημαϊκά σεμινάρια και συζητήσεις
- την προετοιμασία και σχεδιασμό αποτελεσματικών επιστημονικών παρουσιάσεων
- τη βελτίωση του ακαδημαϊκού λεξιλογίου και των εμφανών χαρακτηριστικών γραμματικής
- τη βελτίωση των ακαδημαϊκών δεξιοτήτων γραφής και των ακαδημαϊκών συμβάσεων
- τη βελτίωση των ακαδημαϊκών δεξιοτήτων μελέτης όπως ο προγραμματισμός και η λήψη σημειώσεων
- τη βελτίωση της κριτικής σας αντίληψης και έκφρασης
- τη βελτίωση ανεξάρτητων ερευνητικών πρακτικών
Listening:
- UNIT 01 | Early Computing Crash Course Computer Science #1
- UNIT 02 | How do hard drives work – Kanawat Senanan
- UNIT 04 | Free software, free society Richard Stallman at TEDxGeneva 2014
- UNIT 05 | Convolutional Neural Networks (CNNs) explainedc
- Chapter 06 | Tommy McCall: The simple genius of a good graphic
- Chapter 07 | Tom Wujec: Got a wicked problem
- UNIT 08 | The poetry of programming Linda Liukas TEDxCERN
- UNIT 09 | The era of blind faith in big data must end Cathy ONeil
- UNIT 10 | Where AI is today and where its going. Richard Socher TEDxSanFrancisco
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 note-taking
Academic writing skills
Developing a critical approach
The basic structure of abstracts
Academic communication
Working in groups
Critical thinking skills
Evaluating Internet sources
3 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 Networks
Themes
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, bottomup
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, multidimensional 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 endings
Academic 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
Ριζοπούλου Παναγιώτα (Νόνη)
Noni Rizopoulou is an EAP/ESP instructor at the Department of Computer Science, University of Crete. She is the developer and moderator of both undergraduate and graduate courses in Academic and Technical English for Computer Science.
Her academic interests include Scientific Communication and Research, Disruptive
Technologies for Innovation, Ethical Practices in Technology and Industry, and the
Art of Public Speaking.