Systems and Data Science Computer Science and Biomedical Engineering BMK endowed chair for Data Management Last update: Oct 23, 2021 2 706.015 Introduction to Scientific Writing – 01 Introduction and Introduction and Overview Matthias Boehm, Graz University of Technology, WS 2020/21 Agenda  Data Management Group  Course Organization, Outline, and Projects  Structure of Scientific Papers  Paper Project – 01 Introduction and Overview Matthias Boehm, Graz University of Technology, WS 2020/21 Data Management Group https://damslab.github.io/ 5 706.015 Introduction to Scientific Writing – 01 Introduction

Systems and Data Science Computer Science and Biomedical Engineering BMK endowed chair for Data Management Last update: Nov 11, 2021 2 706.015 Introduction to Scientific Writing – 03 Experiments & Reproducibility University of Technology, WS 2021/22 Experiments and Result Presentation In Computer Science (Data Management) [Ioana Manolescu, Stefan Manegold: Performance Evaluation in Database Research: Principles creation of agreed benchmarks  Benchmarks can define a field and foster innovation  #1 Data Management  Query processing: 007, TPC-C, TPC-E, TPC-H, TPC-DS (w/ audit)  Join ordering: JOB  #2

Systems and Data Science Computer Science and Biomedical Engineering BMK endowed chair for Data Management Last update: Nov 04, 2021 2 706.015 Introduction to Scientific Writing – 02 Scientific Reading Boehm, Graz University of Technology, WS 2021/22 Scientific Reading In Computer Science (Data Management) 5 706.015 Introduction to Scientific Writing – 02 Scientific Reading and Writing Matthias Boehm Boehm, Graz University of Technology, WS 2021/22 Scientific Writing In Computer Science (Data Management) [Justin Zobel: Writing for Computer Science, 2nd ed. Springer 2004, ISBN 978-1-85233-802-2]

Definition: Reusability mechanism for sharing code from one module to an- other. Pros: The namespace management convention is simple. The source of each identifier is indicated in a consistent way; x.Obj says con- verting ordinary methods to class or static methods. However, the decorator syntax allows for user-defined decorators as well. Specifically, for some function my_decorator, this: class C(object): will actually run the file’s destructor. Different Python implementations use different memory management techniques, such as delayed Garbage Collection, which may increase the object’s lifetime arbitrarily

often, due to unrelated changes in the header. • Forward declarations can hide a dependency, allowing user code to skip necessary recompilation when headers change. • A forward declaration may be broken by declaration can silently change the meaning of code: // b.h: struct B {}; struct D : B {}; // good_user.cc: #include "b.h" void f(B*); void f(void*); void test(D* x) { f(x); } // calls f(B*) If the #include conversions can hide type-mismatch bugs, where the destination type does not match the user’s expectation, or the user is unaware that any conversion will take place. • Implicit conversions can make code

easier to read, share, and verify. The rules below were designed in collaboration with the entire R user community at Google. Summary: R Style Rules 1. File Names: end in .R 2. Identifiers: variable.name