13S111P1 - Programming 1

Course specification
Course title		Programming 1
Acronym		13S111P1
Study programme		Software Engineering
Module
Type of study		bachelor academic studies
Lecturer (for classes)		professor PhD Jelica Protić professor PhD Marko Mišić asst. professor PhD Vladimir Jocović
Lecturer/Associate (for practice)		asst. professor PhD Vladimir Jocović asst. MA Jovan Đukić, electrical and computer engineer asst. MA Aleksa Srbljanović, electrical and computer engineer asst. MA Miloš Obradović, electrical and computer engineer
Lecturer/Associate (for OTC)
ESPB		5.0	Status	mandatory
Condition		none
The goal		Teaching students fundamentals of modern programming and elements of computer systems. Training for independent development and testing of programs in the Python programming language using control structures and complex data types. Development of more complex programs in the precision steps. Setting the foundations for learning other programming languages.
The outcome		Students will be able to analyze the problem setting and functional requirements, construct simpler algorithms, transform them into program code in the Python programming language, and to understand syntax definitions. Students will be able to work independently in a development environment and to develop, rectify and test structured, modular programs for engineering applications.
Contents
URL to the subject page		https://rti.etf.bg.edu.rs/rti/ir1p1/index_si.html
Contents of lectures		Introduction to programming. Program paradigms, syntax and semantics, notations. Algorithmic problem solving and software life cycle. Python programming language. Variables, operators, complex data types: arrays, lists, n-torques, dictionaries. Control structures. Functions, recursion, modules. Exception handling. Input/output data, files. Object-oriented concepts. Selected Libraries.
Contents of exercises		Practical classes represent auditory exercises that fully follow the order of topics that are presented during lectures. Exercises are performed in a computer laboratory. For each topic, a set of examples and problem solutions are presented with a demonstration on the computer and students' independent work on modifying and testing the program conducted using Moodle e-learning platform.
Literature
Python Programming: An Introduction to Computer Science, John Zelle, 3rd Ed., Franklin, Beedle & Associates, 2016. (Original title) Python programming fundamental, Milos Kovacevic, Academic mind, 2017. A Smarter Way to Learn Python, Mark Myers, CreateSpace Independent Publishing Platform, 2017. (Original title) Programming 1, presentations used on lectures and auditory exercises, Web site of the Department of Computer Engineering and Informatics, School of electrical engineering, http://rti.etf.bg.edu.rs/rti/ir1p1/materijal.html Programming Languages, Jozo Dujmovic, Academic mind, 2000.
Number of hours per week during the semester/trimester/year
Lectures	Exercises	OTC	Study and Research	Other classes
3	2
Methods of teaching		lectures, auditory exercises in computer laboratory, laboratory exercises
Knowledge score (maximum points 100)
Pre obligations		Points	Final exam	Points
Activites during lectures		0	Test paper	70
Practical lessons		0	Oral examination	0
Projects
Colloquia		30
Seminars		0