Computer Science

First Stage

Introduction to Computer Science, Fundamentals of Programming, Mathematics for Computing, and English Language Skills.

Second Stage

Data Structures and Algorithms, Object-Oriented Programming, Database Systems, and Discrete Mathematics.

Third Stage

Database, Principle Of Networking, Optimization, and elective courses in areas like Artificial Intelligence or Web Development.

Fourth Stage

Advanced topics such as Machine Learning, Cybersecurity, and a Capstone Project or Thesis.

Premionix Services

Some modern, websites that helps you manage your live effecintly.

Bus Drivers

A website that helps find your citys college bus for travels online.

Digital Books

A website library, that helps you to get your hands on digial books.

Prayers Time

A website, that helps you to keep track of prayers time.

First Semister

Second Semister

Programming

In the first semester of Computer Science at Koya University, programming typically begins with Java as the primary language. Students are introduced to the basics of programming concepts

Academic Computing

This course is designed to provide students with foundational knowledge and practical skills in computer systems and applications,

Academic Kurdish

The course helps students communicate effectively in Kurdish within academic and scientific contexts, which is important for assignments, reports, and future research writing.

Academic Debate

​At Koya University, the Academic Debate course is designed to enhance students' skills in critical thinking, structured argumentation, and effective communication within academic contexts.

Calculus

​In the Computer Science program at Koya University, Calculus is an integral part of the curriculum, providing essential mathematical foundations for computing and engineering disciplines.

Programming

In this course, students delve deeper into Java programming, building upon the foundational concepts introduced in the first semester.

Logic Design

introduces students to essential mathematical concepts and reasoning techniques crucial for computer science.

Discrete Mathematics

Discrete Mathematics is foundational for computer science, providing essential mathematical concepts and techniques used in areas such as algorithms, data structures, and logic.

Calculus

This course is designed to build upon the foundational concepts introduced in the first semester, providing deeper insights into mathematical principles essential for computer science applications.

Academic English

The course helps students communicate effectively in English within academic and scientific contexts, which is important for assignments, reports, and future research writing.

Third Semister

Fourth Semister

Object-Oriented Programming

focusing on concepts such as classes, inheritance, polymorphism, and encapsulation. This course enhances their ability to design and implement complex optimization systems.

Database

This course introduces, arrays, linked lists, stacks, queues, trees, and graphs. Understanding these structures is essential for efficient algorithm development and problem-solving.

Computer Organization

Students explore the components of computer systems, learning about processors, memory hierarchies, input/output mechanisms, and instruction sets.

Probability and Statistics

provides tools for analyzing data. Topics may include probability distributions, statistical inference, and hypothesis testing, which are foundational for fields like machine learning and data science.

Computation
Theory

is a fundamental area of computer science that explores the mathematical principles behind how computers solve problems. It defines what can be computed, and how efficiently it can be done.

Database Structure

This course introduces students to the principles of database design, implementation, and management. Topics may include relational models, SQL, normalization, and transaction processing.

Database

Students explore the fundamental concepts of Database, including process management, memory management, file systems, and concurrency.

Optimization

This course covers the methodologies and tools used in the optimization development lifecycle, emphasizing requirements analysis, design, testing, and maintenance.

Principle Of Networking

An introduction to the principles of computer networking, including network Organizations, protocols, and data communication.​

Compiler

Building upon previous mathematics courses, this subject may delve into topics such as linear algebra, probability, and statistics.

Fifth Semister

Sixth Semister

Seventh Semister

Eighth Semister