Course

PI2 - Practical Informatics 2


PDF Course Catalog Deutsche Version: PI2

Version: 2 | Last Change: 10.09.2019 15:52 | Draft: 0 | Status: vom verantwortlichen Dozent freigegeben

Long name Practical Informatics 2
Approving CModule PI2_BaET
Responsible
Prof. Dr. Dieter Rosenthal
Professor Fakultät IME
Level Bachelor
Semester in the year summer semester
Duration Semester
Hours in self-study 60
ECTS 5
Professors
Prof. Dr. Dieter Rosenthal
Professor Fakultät IME

Ursula Derichs
Lehrkraft für besondere Aufgaben
Requirements basic knowledge in C
Language German
Separate final exam Yes
Literature
Elektronische Verweise auf ebooks und Online Tutorials
Final exam
Details
Written exam:
Students shall prove that they can 1.) explain and apply fundamental terms, 2.) apply programming and more abstract concepts to solve application problems and 3.) assess the correctness of proposed solutions. Typical types of assignments are 1.) multiple choice questions, fill-in-the-blank texts, assessment of statements, 2.) solving given problems of limited size by programs and Nassi-Shneiderman diagrams and 3.) finding errors in given programs.
Minimum standard
At least 50% of the total number of points.
Exam Type
Written exam:
Students shall prove that they can 1.) explain and apply fundamental terms, 2.) apply programming and more abstract concepts to solve application problems and 3.) assess the correctness of proposed solutions. Typical types of assignments are 1.) multiple choice questions, fill-in-the-blank texts, assessment of statements, 2.) solving given problems of limited size by programs and Nassi-Shneiderman diagrams and 3.) finding errors in given programs.

Learning goals

Knowledge
Basic of object oriented programming
Structure of classes, creation of objects
constructor, Overloading of methods, Initialization Lists
reference vs. pointer
Inheritance
Polymorphism
abstract methods and classes
virtual methods
access mechanism
private, protected, public
friend
Keyword static
usage in
functions/methods vs. classes
templates
methods
classes

Skills
programming of classes and objects
programming of inherited classes and objects
Using polymorphism in inherited classes
programming of abstract methods
programming of virtual methods
Programming of attributes and methods in private, protected and public areas
programming of templates
Expenditure classroom teaching
Type Attendance (h/Wk.)
Lecture 2
Exercises (whole course) 1
Exercises (shared course) 1
Tutorial (voluntary) 0
Special literature
keine/none
Special requirements
basic knowledge in C
Accompanying material
lecture foils (electronic)
free software development environments from the Web
example programs (in electronic form)
Separate exam
none

Learning goals

Knowledge
programming of classes and objects
programming of inherited classes and objects
Using polymorphism in inherited classes
programming of abstract methods
programming of virtual methods
Programming of attributes and methods in private, protected and public areas

Skills
application of the aspects listed above to real-world scenarios in small teams
Expenditure classroom teaching
Type Attendance (h/Wk.)
Practical training 1
Tutorial (voluntary) 0
Special literature
keine/none
Special requirements
none
Accompanying material
example programs (in electronic form)
Separate exam
Exam Type
working on practical scenarion (e.g. in a lab)
Details
Students work in small teams. Each team completes multiple "rounds" with assigned appointments in the lab. In each round, programming assigments of an algorithmic and object-oriented nature are solved - firstly by a more abstract representation (e.g. description of an algorithm by a Nassi-Shneiderman diagram), secondly by an runnable implementation (e.g. C++ program).
For the preparation of a laboratory appointment a "preparation sheet" has to be solved. The acquired knowledge will be tested at the beginning of the appointment (short written entrance test, interview with the supervisor). In case of failure, a follow-up appointment must be taken; in case of multiple failures, the student will be excluded from the lab. In case of success, a "laboratory work sheet" with further tasks will be worked on under supervision (and, if necessary, with assistance).
Minimum standard
Successful participation in all laboratory appointments, i.e. in particular independent solution (or with some assistance if necessary) of the programming assignments.

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