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 also knowledge about computer parts are included,

Academic Kurdish

The course helps students communicate effectively in Kurdish within academic and scientific contexts, also it covers a bit of kurdish history as well for keeping the culture alive.

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

This course introduces students to essential mathematical concepts and reasoning techniques crucial for computer science, including logic, circuits, algorithms, and problem solving strategies.

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 I

This course covers tables, queries, forms, reports, and relationships in Microsoft Access, teaching you how to organize, manage, and analyze data to streamline workflows and support data-driven decisions.

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 II

This course covers core database concepts process and memory management, file systems, and concurrency while introducing VBA, SQL, and external data connections for hands-on, practical programming experience.

Optimization

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

Principle Of Networking

This course covers computer networking principles, including network organizations, protocols, and data communication, giving students practical insight into network design and connectivity.

Compiler

Building on previous mathematics courses, this course explores linear algebra, probability, and statistics, giving students practical tools for problem-solving, data analysis, and computational applications.

Fifth Semister

Sixth Semister

Seventh Semister

Eighth Semister