13M111FP - Functional Programming

Course specification
Course title		Functional Programming
Acronym		13M111FP
Study programme		Electrical Engineering and Computing
Module		Software Engineering
Type of study		master academic studies
Lecturer (for classes)		asst. professor PhD Živojin Šuštran
Lecturer/Associate (for practice)		asst. MA Predrag Obradović, electrical and computer engineer
Lecturer/Associate (for OTC)		asst. professor PhD Živojin Šuštran asst. MA Predrag Obradović, electrical and computer engineer
ESPB		6.0	Status	elective
Condition		Formal prerequisite does not exist, but it is expected that the student is familiar with Java programming language (the course 13S112OO2)
The goal		Understanding and becoming adept in functional programming concepts through Scala programming language. Understanding the specifics of functional programming program structure and differences to imperative programming. Introduction to functional programming techniques. Development of parallel functional programs.
The outcome		Upon successful completion of the course, the students will be able to: - understand specifics of functional programming - write sequential and parallel functional programs in Scala programming language - use standard Java or Scala libraries in software development
Contents
URL to the subject page		http://rti.etf.bg.edu.rs/rti/ms1fp/
Contents of lectures		Overview of Scala programming language. Values, variables and control structures. Objects and companion objects. Classes. Functions and control abstractions. Wrapper objects. Traits as means of code reusability. Mixing Java and Scala code, concurrent programming in Scala language, graphical user interface programming using Scala Swing package.
Contents of exercises		Auditory practices. Projects/home works.
Literature
Martin Odersky, Lex Spoon, Bill Venners, "Programming in Scala", 2nd ed, Aritma, 2010. (Original title) Alvin Alexander, "Scala Cookbook", O'Reilly, 2013. (Original title) Harold Abelson, Gerald Jay Sussman, "Structure and Interpretation of Computer Programs", 2nd ed, MIT Press, 1996. (Original title) Lecture notes for the course Functional programming
Number of hours per week during the semester/trimester/year
Lectures	Exercises	OTC	Study and Research	Other classes
2	2	1
Methods of teaching		Lectures are supplied with electronic presentations. Students individually develop projects as home works. Assessment on acquired knowledge through oral presentation of completed projects.
Knowledge score (maximum points 100)
Pre obligations		Points	Final exam	Points
Activites during lectures			Test paper	40
Practical lessons			Oral examination
Projects		20
Colloquia		40
Seminars