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 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

a single memory man- agement model. • Code using smart pointers is less explicit about where the resource releases take place. • std::unique_ptr expresses ownership transfer using C++11’s move se- mantics precompile.cc), and use the /FI compiler option to include the file automatically. • Resource headers, which are usually named resource.h and contain only macros, do not need to conform to these style guidelines