Advanced Programming

IN1503Master's Modules5 ECTSEnglishwinter semesterDepartment Computer Science

AI-edited module sheet. Based on the TUMonline module description, edited for readability.Original in TUMonline

What it is about

You will learn to develop scientific software in C++ while balancing performance and maintainability. In the end you will be able to choose appropriate data types and programming structures, apply C++ language facilities for resource management, object- and generic programming, and analyze and optimize performance.

What you will be able to do

select suitable built-in types and break problems into functions
identify known software errors in computational science and explain their causes
understand memory layout and apply C++ techniques for dynamic resource management
solve common programming tasks using object-oriented techniques
use generic programming to reduce code duplication
evaluate, model, and optimize performance
select and apply appropriate STL algorithms according to the C++ documentation
use development tools for complex scientific software projects

What the module consists of

VorlesungDelivery of theoretical fundamentals through lectures and presentations
ÜbungenSolving concrete programming tasks, sometimes in teams, and discussion of selected examples

Teaching method

Vorlesung/PräsentationIntroduction and explanation of concepts
Übungsaufgaben (einzeln/Team)Practical deepening and application of what was learned
LiteraturarbeitIndependent deepening of topics based on recommended sources
Interaktive Code-Beispiele und QuizzesImmediate practice and verification of understanding

What you should already know

Kompetenz in beliebiger Programmierspracherecommended
Vertrautheit mit statisch typisierten oder objektorientierten Sprachen (z.B. C++, C, Fortran, Java, Python)recommended

Assessment

Written examBonusprojektMultiple choiceCodeaufgaben

Performance is assessed by a written exam (75 minutes); allowed is a handwritten A4 cheat sheet. Exam tasks include free text, code analysis, short code development and multiple-choice questions; excerpts from the C++ documentation are provided. There is also an optional bonus project (Practical project task, Pass/Fail) – passing can improve the final grade by up to 0.3.

Reading list

C++ Core Guidelines - (Online)
C++ Reference - (Online)
Bjarne Stroustrup - Principles and Practice Using C++
Bjarne Stroustrup - A Tour of C++
Georg Hager, Gerhard Wellein - Introduction to High Performance Computing for Scientists and Engineers
T. Huckle, T. Neckel - Bits and Bugs: A Scientific and Historical Review of Software Failures in Computational Science

Dates

LectureAdvanced Programming (IN1503)

Thu10:00–12:00
102, Hörsaal 2, "Interims I" (5620.01.102)
14× · 15.10.–04.02.
- 15.10.
- 22.10.
- 29.10.
- 05.11.
- 12.11.
- 19.11.
- 26.11.
- 10.12.
- 17.12.
- 07.01.
- 14.01.
- 21.01.
- 28.01.
- 04.02.

ExerciseÜbungen zu Advanced Programming (IN1503)2 groups to choose from

AWed14:00–16:00
02.07.023, Seminarraum (Inf. 2/5) (5607.02.023)
15× · 14.10.–03.02.
- 14.10.
- 21.10.
- 28.10.
- 04.11.
- 11.11.
- 18.11.
- 25.11.
- 02.12.
- 09.12.
- 16.12.
- 23.12.
- 13.01.
- 20.01.
- 27.01.
- 03.02.
BMon10:00–12:00
Seminarraum Taurus 1 im Galileo Mo-Fr 7-19 Uhr (8120.EG.002)
14× · 19.10.–01.02.
- 19.10.
- 26.10.
- 02.11.
- 09.11.
- 16.11.
- 23.11.
- 30.11.
- 07.12.
- 14.12.
- 21.12.
- 11.01.
- 18.01.
- 25.01.
- 01.02.

From the current semester, not binding. You attend one of several groups; the timetable automatically suggests the one with the fewest clashes.

Show TUMonline data

Sprache: Englisch
Turnus: Wintersemester
Modulniveau: Master
Moduldauer: Einsemestrig
Gesamtstunden: 150
Präsenzstunden: 60
Eigenstudiumstunden: 90
Organisationsname: Department Computer Science

Courses

Advanced Programming
Advanced Programming (IN1503)
Tutorübungen zu Advanced Programming (IN1503)

Official page in TUMonline · Details are not binding.