Technology, Austria Institute of Interactive Systems and Data Science Computer Science and Biomedical Engineering BMK endowed chair for Data Management Last update: Oct 23, 2021 2 706.015 Introduction 01 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 Writing – 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

Technology, Austria Institute of Interactive Systems and Data Science Computer Science and Biomedical Engineering BMK endowed chair for Data Management Last update: Nov 11, 2021 2 706.015 Introduction 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 single way how to do it right  There are many ways how to do it wrong  Basic Planning  Which data / data sets should be used?  Which workload / queries should be run?  Which hardware & software should

methods of a class should generally be closely related to instances of the class or the class’s static data. Nonmember and static member functions can be useful in some situations. Putting nonmember functions namespace. Rather than creating classes only to group static member functions which do not share static data, use namespaces instead. For a header myproject/foo_bar.h, for example, write namespace myproject static variables, static class member variables, and function static variables, must be Plain Old Data (POD): only ints, chars, floats, or pointers, or arrays/structs of POD. The order in which class

sys.argv has not yet been parsed... ... Properties link￿ Use properties for accessing or setting data where you would normally have used simple, lightweight accessor or setter methods. Definition: A overloading. Can be confusing for subclasses. Decision: Use properties in new code to access or set data where you would normally have used simple, lightweight accessor or setter methods. Read-only properties the new styles. Yes: words = foo.split(':') [x[1] for x in my_list if x[2] == 5] map(math.sqrt, data) # Ok. No inlined lambda expression. fn(*args, **kwargs) No: words = string.split(foo, ':') map(lambda

Technology, Austria Institute of Interactive Systems and Data Science Computer Science and Biomedical Engineering BMK endowed chair for Data Management Last update: Nov 04, 2021 2 706.015 Introduction Matthias 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 any straightforward implementation to adopt. Some proof-of- concept experiments show that on a few data sets, the results are slightly better than the most naïve prior methods. 13 706.015 Introduction

in a row) is okay if it improves alignment of equals signs or arrows (<-). plot(x = x.coord, y = data.mat[, MakeColName(metric, ptiles[1], "roiOpt")], ylim = ylim, xlab = "dates", ylab = metric, main function; a list of the function’s arguments, denoted by Args:, with a description of each (including the data type); and a description of the return value, denoted by Returns:. The comments should be descriptive