Propositional Logic COMP1600 / COMP6260 Australian National University Semester 2, 2021 This Course Programming. (Haskell, Java, Python, . . . ) Tell the computer how to perform a certain task Logic. (this course) Specify precisely what task should be performed Computation. (this course) the (discrete) maths of computation: what can be done in principle? You […]
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Hoare Logic: Partial Correctness COMP1600 / COMP6260 Australian National University Semester 2, 2021 Programming Paradigms Functional. (Haskell, SML, OCaml, . . . ) main paradigm: functions that don’t rely on state main ingredient: recursion Imperative. (C, Java, Algol, (Visual) Basic, . . . ) main paradigm: operations that do manipulate state. main ingredient: loops 1/51
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Turing Machines COMP1600 / COMP6260 Australian National University Semester 2, 2021 1/45 (1912–1954) 2/45 2/45 Turing’s Scientific contributions 1936 introduces Turing machines and the study of computability 1950. introduces the Turing test that turns AI into a concrete research problem current today: Mitsuku, a computer programme has convinced judges (for the last 5 competitions –
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Deterministic Finite Automata COMP1600 / COMP6260 Australian National University Semester 2, 2021 The Story So Far … Logic. language and proofs to speak about systems precisely useful to express properties and do proofs Functional Programs establish properties of functional programs main tool: (structural) induction Imperative Programs. again: focus on properties of programs main tool: Hoare
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Hadoop, Hive & IMPORTANT This document contains the general instructions for the lab. Note that for the final task you MUST use the two commands as emailed to you as the output from these will be used to validate your session. Before starting the lab, you will need to connect to the server using either
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2017 spring PL project (OurScheme) – Project 1 Due : 6/25(日) midnight (23:59) Copyright By PowCoder代写 加微信 powcoder // You are to implement something like the following // ‘expr’ is a pointer that points to a linked list data structure; // The linked list data structure results from reading in // the user’s input. Print
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Markov Decision Processes Read everything below carefully! Why? In some sense, we have spent the semester thinking about machine learning techniques for various forms of function approximation. It’s now time to think about using what we’ve learned in order to allow an agent of some kind to act in the world more directly. This assignment
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Advanced Networks Advanced Network Technologies Week 2: Network performance Network application School of Computer Science Dr. | Lecturer 1 Network Performance: Throughput Throughput throughput: rate (bits/time unit) at which bits transferred between sender/receiver instantaneous: rate at given point in time average: rate over longer period of time server, with file of F bits to send
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3rd Edition: Chapter 3 Advanced Network Technologies Application layer Transport layer School of Computer Science Dr. | Lecturer 1 Peer-to-Peer 2 Pure peer-to-peer model architecture no always-on server arbitrary end systems directly communicate peers are intermittently connected and change IP addresses examples: file distribution (BitTorrent) Streaming (Zattoo, KanKan) VoIP (Skype) 3 3 File distribution: client-server
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PowerPoint 演示文稿 Advanced Network Technologies Introduction Dr. | Lecturer School of Computer Science COMP 5416 › Title: Advanced Network Technologies › UOS code: COMP5416 › Credit point: 6 Wednesday 18:00-20:00, weeks 1-13 Online › Lab/Tutorial: Wednesday 20:00-21:00, weeks 1-13, starting from today Thursday 17:00-18:00, weeks 1-13 Sydney time by default Note your time zone, especially
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