Modern programming languages Field of study: Computer Science
Programme code: W4-N2IN19.2022

Module name: Modern programming languages
Module code: W4-IN-N2-20-1-NJP
Programme code: W4-N2IN19.2022
Semester:
  • summer semester 2024/2025
  • winter semester 2024/2025
  • summer semester 2023/2024
  • winter semester 2023/2024
  • summer semester 2022/2023
Language of instruction: Polish
Form of verification: exam
ECTS credits: 4
Description:
The following topics will be presented. Kotlin for Server Side, Android, JavaScript, Native, Data Science programming. Basic syntax, idioms and coding conventions. Basic types, packages and imports. Classes and objects. Functions, lambdas and inline functions. Collections. Coroutines. Multiplatform programming. Core libraries. Kotlin for Java and JavaScript. Native programming.
Prerequisites:
(no information given)
Key reading:
J. Skeen, D. Greenhalgh, Kotlin Programming: The Big Nerd Ranch Guide, 2018. K. Kousen, Kotlin Cookbook. A Problem-Focused Approach, O'Reilly, 2019. C.S. Nayak, R. Chakraborty, Hands-On Data Structures and Algorithms with Kotlin, Packt Publishing, 2019.
Learning outcome of the module Codes of the learning outcomes of the programme to which the learning outcome of the module is related [level of competence: scale 1-5]
Student can choose and implement the appropriate structure in the programming language. [M_001]
 K_W04 [2/5] K_U01 [2/5] K_U04 [1/5] K_K01 [1/5]
Student can describe algorithms using selected programming language structures. [M_002]
 K_W01 [3/5] K_W02 [3/5] K_U04 [1/5] K_K01 [1/5]
Student has the knowledge of the programming language. [M_003]
 K_W02 [2/5] K_W04 [2/5] K_U04 [1/5] K_U06 [1/5]
Type Description Codes of the learning outcomes of the module to which assessment is related
Written exam [W_001]
Knowledge verification based on the content presented in the lecture. The exam is carried out in the form of a test.
 M_001 M_002 M_003
Passing exercises [W_002]
Submission of projects (applications) within a specified period as a verification of skills acquired during problem solving.
 M_001 M_002 M_003
Form of teaching Student's own work Assessment of the learning outcomes
Type Description (including teaching methods) Number of hours Description Number of hours
lecture [Z_001]
Lectures are carried out by using audiovisual means.
 20
Studying lecture topics basing on books and materials from the Internet.
 20 Written exam [W_001]
laboratory classes [Z_002]
Compulsory classes in the computer lab conducted according to the schedule.
 20
Solving practical tasks. Development and practical implementation of the project.
 60 Passing exercises [W_002]
Attachments
Module description (PDF)
Information concerning module syllabuses might be changed during studies.
Syllabuses (USOSweb)
Semester Module Language of instruction
(no information given)