Objective The University of Queensland School of Information Technology and Electrical Engineering Semester 2, 2020 CSSE2010 / CSSE7201 AVR PROGRAMMING TASK Due: 12noon Saturday 31 October 2020 Weighting: 20% (30 marks) As part of the assessment for this course, you are required to undertake an AVR programming task which will test you against some of […]
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Skip navigation   ART & INTERACTION IN NEW MEDIA Research School of Computer Science  Menu   menu You are here  » Deliverables » Major project TABLE OF CONTENTS Outline Spec Theme Getting started Requirements The artist statement The interaction statement Submission process Submission checklist FAQ Can I write more
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Programming Assignment 1 (15%) CSI2110/CSI2510 PART 2 (0.30*60 marks=18 marks=4.5%) Due : November 8, 11:59PM Politique de retard: Late assignment policy : The Stable Matching problem Supplementary questions 1. [4 points] Suppose that in a given stable matching problem, we have the following rankings: company A: company B: company C: student X: student Y: student
Programming Assignment 1 (15%) CSI2110/CSI2510 PART 2 (0.30*60 marks=18 marks=4.5%) Due : November 8, 11:59PM Politique de retard: Late assignment policy : The Stable Matching problem Supplementary questions 1. [4 points] Suppose that in a given stable matching problem, we have the following rankings: company A: company B: company C: student X: student Y: student
Static Program Analysis Part 9 – pointer analysis http://cs.au.dk/~amoeller/spa/ Anders Møller & Michael I. Schwartzbach Computer Science, Aarhus University Agenda • Introduction to points-to analysis • Andersen’s analysis • Steensgaards’s analysis • Interprocedural points-to analysis • Null pointer analysis • Flow-sensitive points-to analysis 2 Analyzing programs with pointers How do we perform e.g. constant propagation
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Static Program Analysis Part 7 – interprocedural analysis http://cs.au.dk/~amoeller/spa/ Anders Møller & Michael I. Schwartzbach Computer Science, Aarhus University Interprocedural analysis • Analyzing the body of a single function: – intraprocedural analysis • Analyzingthewholeprogramwithfunctioncalls: – interprocedural analysis • For now, we consider TIP without function pointers and indirect calls • A naive approach: – analyze
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Static Program Analysis Part 3 – lattices and fixpoints http://cs.au.dk/~amoeller/spa/ Anders Møller & Michael I. Schwartzbach Computer Science, Aarhus University Flow-sensitivity • Typecheckingis(usually)flow-insensitive: – statements may be permuted without affecting typability – constraints are naturally generated from AST nodes • Otheranalysesmustbeflow-sensitive: – the order of statements affects the results – constraints are naturally generated from
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CSSE4630 Lecture Notes: Dynamic Program Analysis Mark Utting Weeks 11-12, version 1.0 1 Overview In this part of the course, we look at dynamic program analysis, which is about analysing programs by executing them. This covers a broad range of topics, including: testing (blackbox and whitebox) runtime monitoring / verification model-checking
Static Program Analysis Part 2 – type analysis and unification http://cs.au.dk/~amoeller/spa/ Anders Møller & Michael I. Schwartzbach Computer Science, Aarhus University Type errors • Reasonable restrictions on operations: – arithmetic operators apply only to integers – comparisons apply only to like values – only integers can be input and output – conditions must be integers
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6. DYNAMIC PROGRAMMING I ‣ weighted interval scheduling ‣ segmented least squares ‣ knapsack problem ‣ RNA secondary structure Lecture slides by Kevin Wayne Copyright © 2005 Pearson-Addison Wesley http://www.cs.princeton.edu/~wayne/kleinberg-tardos Last updated on 1/15/20 6:20 AM Algorithmic paradigms Greed. Process the input in some order, myopically making irrevocable decisions. Divide-and-conquer. Break up a problem into