First cycle
degree courses
Second cycle
degree courses
Single cycle
degree courses
School of Engineering
MATHEMATICAL ENGINEERING
Course unit
SCIENTIFIC COMPUTING AND OBJECT ORIENTED PROGRAMMING
INP5070419, A.A. 2017/18

Information concerning the students who enrolled in A.Y. 2017/18

Information on the course unit
Degree course Second cycle degree in
MATHEMATICAL ENGINEERING (Ord. 2017)
IN2191, Degree course structure A.Y. 2017/18, A.Y. 2017/18
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Degree course track FINANCIAL ENGINEERING [002PD]
Number of ECTS credits allocated 6.0
Type of assessment Mark
Course unit English denomination SCIENTIFIC COMPUTING AND OBJECT ORIENTED PROGRAMMING
Department of reference Department of Civil, Environmental and Architectural Engineering
Mandatory attendance No
Language of instruction English
Branch PADOVA
Single Course unit The Course unit can be attended under the option Single Course unit attendance
Optional Course unit The Course unit can be chosen as Optional Course unit

Lecturers
Teacher in charge EMANUELE DI BUCCIO ING-INF/05
Other lecturers MICHELE SCHIMD

ECTS: details
Type Scientific-Disciplinary Sector Credits allocated
Core courses ING-INF/05 Data Processing Systems 6.0

Mode of delivery (when and how)
Period Second semester
Year 1st Year
Teaching method frontal

Organisation of didactics
Type of hours Credits Hours of
teaching
Hours of
Individual study
Shifts
Lecture 6.0 48 102.0 No turn

Calendar
Start of activities 26/02/2018
End of activities 01/06/2018

Examination board
Board From To Members of the board
2 2016 01/10/2016 15/03/2018 SCHIMD MICHELE (Presidente)
DI BUCCIO EMANUELE (Membro Effettivo)
COMIN MATTEO (Supplente)

Syllabus
Prerequisites: None
Target skills and knowledge: * Foundations of C# programming language
* Object Oriented Programming using C# language
* Knowledge of primitive data structures and algorithms
* Working knowledge of data mining and algorithms for supervised and unsupervised learning
* Basics of VBA for Excel
Examination methods: Final examination based on:
* Group-work project
* Written exam
* Homeworks assigned during the lectures
Assessment criteria: Critical knowledge of the course topics. Ability to present the studied material. Discussion of the student project.
Course unit contents: * Introduction to algorithms and programming models
* C# basic programming notions
* Object Oriented Programming concepts
* Notions of computational complexity
* Primitive data structures
* Searching and sorting algorithms
* Introduction to problems of data mining
* Algorithms for supervised and unsupervised learning
* Basics of VBA scripting for Excel
Planned learning activities and teaching methods: Lecture supported by tutorial, assignment, exercises and laboratory activities.
Additional notes about suggested reading: Lecture notes and reference books will be given by the lecturer.
Textbooks (and optional supplementary readings)