13S111P1 - Programming 1
Course specification | ||||
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Course title | Programming 1 | |||
Acronym | 13S111P1 | |||
Study programme | Software Engineering | |||
Module | ||||
Type of study | bachelor academic studies | |||
Lecturer (for classes) | ||||
Lecturer/Associate (for practice) | ||||
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.ac.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 | ||||
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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 |