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. 2019/20

Information concerning the students who enrolled in A.Y. 2019/20

Information on the course unit
Degree course Second cycle degree in
MATHEMATICAL ENGINEERING
IN2191, Degree course structure A.Y. 2017/18, A.Y. 2019/20
N0
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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
No lecturer assigned to this course unit

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

Course unit organization
Period Second semester
Year 1st Year
Teaching method frontal

Type of hours Credits Teaching
hours
Hours of
Individual study
Shifts
Lecture 6.0 48 102.0 No turn

Calendar
Start of activities 02/03/2020
End of activities 12/06/2020
Show course schedule 2019/20 Reg.2017 course timetable

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: Written exam contaning questions on theoretical aspects and C# programming exercises
Assessment criteria: Critical knowledge of the course topics. Ability to present and discuss 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)