MATHEMATICAL METHODS FOR COMPUTER SCIENCE

Computer science MATHEMATICAL METHODS FOR COMPUTER SCIENCE

0512100041
COMPUTER SCIENCE
EQF6
COMPUTER SCIENCE
2021/2022

OBBLIGATORIO
YEAR OF COURSE 1
YEAR OF DIDACTIC SYSTEM 2017
SECONDO SEMESTRE
CFUHOURSACTIVITY
432LESSONS
216EXERCISES


Objectives
KNOWLEDGE AND UNDERSTANDING
THE STUDENT MUST HAVE KNOWLEDGE OF:
1.SIMPLE LOGIC TOOLS, PARTICULARLY KNOWLEDGE OF PROPOSITIONAL LOGIC AND PREDICATE CALCULUS
2.THE MATHEMATICAL REASONING THAT IS THE BASIS OF THE MOST COMMON PROOF METHODS AND STRATEGY, NAMELY PROOFS BY CONTRADICTION, PROOFS BY CONTRAPOSITION, EXHAUSTIVE PROOFS AND PROOFS BY CASES
3.THE CONCEPTS OF INDUCTION, RECURSION, AND STRUCTURAL INDUCTION

APPLYING KNOWLEDGE AND UNDERSTANDING
THE STUDENT MUST BE ABLE TO:
1.GIVE PRECISE AND FORMAL STATEMENTS OF SIMPLE PROBLEMS DESCRIBED IN NATURAL LANGUAGE ON SETS, STRINGS, NUMBERS, TREES, GRAPHS, BY USING CONCEPTS AND TECHNIQUES OF THE MATHEMATICAL AND LOGIC REASONING
2.DEMONSTRATE SIMPLE STATEMENTS ON SETS AND NUMBERS, BY APPLYING THE MOST COMMON PROOF METHODS AND STRATEGY, LISTED IN THE PREVIOUS PARAGRAPH
3.USE INDUCTION, RECURSION, AND STRUCTURAL INDUCTION
Prerequisites
THE STUDENT SHOULD HAVE KNOWLEDGE OF MATHEMATICS AND LANGUAGE PROFICIENCY AT HIGH SCHOOL LEVEL.
Contents
•BASICS ON LOGIC: PROPOSITIONAL LOGIC AND ITS APPLICATIONS, PROPOSITIONAL EQUIVALENCES, PREDICATES AND QUANTIFIERS, METHODS AND STRATEGY OF DIRECT AND INDIRECT PROOFS. BASICS ON SETS, SET OPERATIONS, FUNCTIONS, CARDINALITY OF SETS.
•INDUCTION AND RECURSION: INDUCTION, RECURSIVE DEFINITIONS, STRUCTURAL INDUCTION, RECURSIVE ALGORITHMS.
Teaching Methods
CLASS LECTURES INCLUDING EXERCISES. THE LECTURE WILL USE EXAMPLES TO ILLUSTRATE THE CONCEPTS, RELATE DIFFERENT TOPICS TO EACH OTHER, AND INTRODUCE THEIR APPLICATIONS.
Verification of learning
THE ASSESSMENT OF THE ACQUISITION OF THE BASIC CONCEPTS OF THE MODULE, LISTED IN THE “CONTENTS” SECTION, AND OF THE ABILITY TO APPLY THESE CONCEPTS AS DESCRIBED IN THE “OBJECTIVES” SECTION, WILL TAKE THE FORM OF A WRITTEN EXAM. THE WRITTEN EXAM CAN BE SUBSTITUTED BY A MIDTERM PLUS A FINAL WRITTEN TEST. IF THE COVID-19 EMERGENCY CONDITIONS AND THE RESTRICTIONS ASSOCIATED WITH THEM WILL BE STILL ACTIVE, ALL THESE TESTS COULD TAKE PLACE IN REMOTE MODE.

THE EVALUATION CRITERIA INCLUDE THE COMPLETENESS AND CORRECTNESS OF THE LEARNING AND THE CLARITY OF THE PRESENTATION.
THE MINIMUM GRADE (18) IS ASSIGNED WHEN THE STUDENT HAS A LIMITED KNOWLEDGE OF THE STUDIED LOGIC TOOLS, OF THE CONCEPTS OF INDUCTION, RECURSION, STRUCTURAL INDUCTION AND SHOWS UNCERTAINTIES IN THE APPLICATION OF THE STUDIED METHODS.
THE MAXIMUM GRADE (30) IS ASSIGNED WHEN THE STUDENT SHOWS A COMPLETE AND IN-DEPTH KNOWLEDGE OF THE ABOVE MENTIONED CONCEPTS AND OF THE STUDIED METHODS. IT IS ALSO ABLE TO SOLVE THE PROPOSED PROBLEMS GIVING EFFICIENT AND ACCURATE SOLUTIONS AND SHOWS THE ABILITY TO LINK DIFFERENT CONCEPTS TOGETHER.
''LODE'' IS GIVEN WHEN THE CANDIDATE DEMONSTRATES SIGNIFICANT MASTERY OF THE THEORETICAL AND OPERATIONAL CONTENT AND SHOWS THAT SHE/HE IS ABLE TO PRESENT THE TOPICS WITH OWNERSHIP OF LANGUAGE AND AUTONOMOUS PROCESSING SKILLS.
Texts
KENNETH D. ROSEN, DISCRETE MATHEMATICS AND ITS APPLICATIONS, EIGHTH EDITION, MCGRAW-HILL, 2018.

FURTHER READING:
KEITH DEVLIN, INTRODUCTION TO MATHEMATICAL THINKING, 2012.
More Information
E-LEARNING PLATFORM WEB SITE:
HTTP://ELEARNING.INFORMATICA.UNISA.IT/EL-PLATFORM/

CONTACT INFORMATION:
CDEFELICE@UNISA.IT
RZIZZA@UNISA.IT
HTTPS://DOCENTI.UNISA.IT/001119/HOME
HTTPS://DOCENTI.UNISA.IT/020880/HOME

  BETA VERSION Data source ESSE3 [Ultima Sincronizzazione: 2022-06-15]